Samuel Kaski
Professor
I work on probabilistic machine learning, meaning probabilistic modelling and Bayesian inference, applied to difficult problems that are interesting and societally important. At the moment I work on the inter-related topics of analysis of multiple data sources, human-in-the-loop machine learning, simulator-based inference (likelihood-free inference with ABC), and privacy-preserving learning. I have had the chance to collaborate with amazing people in interdisciplinary research projects on applications in biology and medicine, brain signal analysis and user interaction (see list of publications), and in the Aalto Probabilistic Machine Learning Group which I lead with Prof. Aki Vehtari, and the Finnish Center of Excellence in Computational Inference Research which I lead until end of 2017.
To further boost the already strong artificial intelligence research and its impact, we are setting up a new Finnish Artificial Intelligence Center FCAI, which I will lead 2018-. It is a partnership of Aalto University, University of Helsinki, and a number of company members, networking further to key international and national partners. We aim to solve three bottleneck questions in AI research: data scarcity, dependability of AI, and ability of AI to understand its users (more details here). The research will be done with company partners, including new startups and spin-offs, which will take the results directly to use. We will also pay special attention to AI education.
Full researcher profile
https://research.aalto.fi/...
Yhteystiedot
Sähköposti
[email protected]
Postiosoite
Konemiehentie 2
02150 Espoo
Finland
Puhelinnumero
+358503058694
Osaamisalueet
machine learning, probabilistic modelling, artificial intelligence, bioinformatics, computational medicine, user interaction, brain signal analysis
Julkaisut
Likelihood-free inference in state-space models with unknown dynamics
Alexander Aushev, Thong Tran, Henri Pesonen, Andrew Howes, Samuel Kaski
2024
STATISTICS AND COMPUTING
Bayesian reduced rank regression models generalizable neural fingerprints that differentiate between individuals in magnetoencephalography data
Joonas Haakana, Susanne Merz, Samuel Kaski, Hanna Renvall, Riitta Salmelin
2024
European Journal of Neuroscience
Intelligent digital tools for screening of brain connectivity and dementia risk estimation in people affected by mild cognitive impairment: the AI-Mind clinical study protocol
Ira H. Haraldsen, Christoffer Hatlestad-Hall, Camillo Marra, Hanna Renvall, Fernando Maestu, Jorge Acosta-Hernandez, Soraya Alfonsin, Vebjorn Andersson, Abhilash Anand, Victor Ayllon, Aleksandar Babic, Asma Belhadi, Cindy Birck, Ricardo Bruna, Naike Caraglia, Claudia Carrarini, Erik Christensen, Americo Cicchetti, Signe Daugbjerg, Rossella Di Bidino, Ana Diaz-Ponce, Ainar Drews, Guido Maria Giuffre, Jean Georges, Pedro Gil-Gregorio, Dianne Gove, Tim M. Govers, Harry Hallock, Marja Hietanen, Lone Holmen, Jaakko Hotta, Samuel Kaski, Rabindra Khadka, Antti S. Kinnunen, Anne M. Koivisto, Shrikanth Kulashekhar, Denis Larsen, Mia Liljeström, Pedro G. Lind, Alberto Marcos Dolado, Serena Marshall, Susanne Merz, Francesca Miraglia, Juha Montonen, Ville Mäntynen, Anne Rita Oksengard, Javier Olazaran, Teemu Paajanen, Jose M. Pena, Luis Pena, Daniel lrabien Peniche, Ana S. Perez, Mohamed Radwan, Federico Ramirez-Torano, Andrea Rodriguez-Pedrero, Timo Saarinen, Mario Salas-Carrillo, Riitta Salmelin, Sonia Sousa, Abdillah Suyuthi, Mathias Toft, Pablo Toharia, Thomas Tveitstol, Mats Tveter, Ramesh Upreti, Robin J. Vermeulen, Fabrizio Vecchio, Anis Yazidi, Paolo Maria Rossini
2024
Frontiers in Neurorobotics
Entity Footprinting: Modeling Contextual User States via Digital Activity Monitoring
Zeinab Rezaei Yousefi, Tung Vuong, Marie Al-Ghossein, Tuukka Ruotsalo, Giulio Jacucci, Samuel Kaski
2024
ACM Transactions on Interactive Intelligent Systems
Online Simulator-Based Experimental Design for Cognitive Model Selection
Alexander Aushev, Aini Putkonen, Grégoire Clarté, Suyog Chandramouli, Luigi Acerbi, Samuel Kaski, Andrew Howes
2023
Computational Brain and Behavior
Optimally-weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free Inference
Ayush Bharti, Masha Naslidnyk, Oscar Key, Samuel Kaski, Francois Xavier Briol
2023
Proceedings of the 40th International Conference on Machine Learning
Modeling needs user modeling
Mustafa Mert Çelikok, Pierre Alexandre Murena, Samuel Kaski
2023
Frontiers in Artificial Intelligence
Teaching to Learn
Mustafa Mert Çelikok, Pierre Alexandre Murena, Samuel Kaski
2023
AAAI-23 Technical Tracks 5
Toward AI assistants that let designers design
Sebastiaan De Peuter, Antti Oulasvirta, Samuel Kaski
2023
AI Magazine
Zero-Shot Assistance in Sequential Decision Problems
Sebastiaan De Peuter, Samuel Kaski
2023
AAAI-23 Technical Tracks 10
Compositional Sculpting of Iterative Generative Processes
Timur Garipov, Sebastiaan De Peuter, Ge Yang, Vikas Garg, Samuel Kaski, Tommi Jaakkola
2023
Advances in Neural Information Processing Systems 36 (NeurIPS 2023)
Learning Robust Statistics for Simulation-based Inference under Model Misspecification
Daolang Huang, Ayush Bharti, Amauri Holanda De Souza Junior, Luigi Acerbi, Samuel Kaski
2023
Practical Equivariances via Relational Conditional Neural Processes
Daolang Huang, Manuel Haussmann, Ulpu Remes, Ti John, Grégoire Clarté, Kevin Sebastian Luck, Samuel Kaski, Luigi Acerbi
2023
Differentiable user models
Alex Hämäläinen, Mustafa Mert Celikok, Samuel Kaski
2023
Proceedings of the 39th Conference on Uncertainty in Artificial Intelligence (UAI 2023)
DPVIm: Differentially Private Variational Inference Improved
Joonas Jälkö, Lukas Prediger, Antti Honkela, Samuel Kaski
2023
Transactions on Machine Learning Research
Cooperative Bayesian Optimization for Imperfect Agents
Ali Khoshvishkaie, Petrus Mikkola, Pierre Alexandre Murena, Samuel Kaski
2023
Machine Learning and Knowledge Discovery in Databases : Research Track - European Conference, ECML PKDD 2023, Proceedings
Uncoupled Learning of Differential Stackelberg Equilibria with Commitments
Robert Loftin, Mustafa Mert Celikok, Herke Van Hoof, Samuel Kaski, Frans A. Oliehoek
2023
AAMAS 2024, International Conference on Autonomous Agents and Multiagent Systems. May 6, 2024 - May 10, 2024, Auckland, New Zealand
Multi-Fidelity Bayesian Optimization with Unreliable Information Sources
Petrus Mikkola, Julien Martinelli, Louis Filstroff, Samuel Kaski
2023
Proceedings of the 26th International Conference on Artificial Intelligence and Statistics
Prior knowledge elicitation: The past, present, and future
Petrus Mikkola, Osvaldo Martin, Suyog Halasinamara Chandramouli, Marcelo Hartmann, Oriol Abril Pla, Owen Thomas, Henri Pesonen, Jukka Corander, Aki Vehtari, Samuel Kaski, Paul-Christian Burkner, Arto Klami
2023
Bayesian Analysis
Chemistry-Based Modeling on Phenotype-Based Drug-Induced Liver Injury Annotation : From Public to Proprietary Data
Mohammad Moein, Markus Heinonen, Natalie Mesens, Ronnie Chamanza, Chidozie Amuzie, Yvonne Will, Hugo Ceulemans, Samuel Kaski, Dorota Herman
2023
Chemical Research in Toxicology
ABC of the future
Henri Pesonen, Umberto Simola, Alvaro Köhn-Luque, Henri Vuollekoski, Xiaoran Lai, Arnoldo Frigessi, Samuel Kaski, David T. Frazier, Worapree Maneesoonthorn, Gael M. Martin, Jukka Corander
2023
INTERNATIONAL STATISTICAL REVIEW
Noise-Aware Statistical Inference with Differentially Private Synthetic Data
Ossi Räisä, Joonas Jälkö, Samuel Kaski, Antti Honkela
2023
Proceedings of The 26th International Conference on Artificial Intelligence and Statistics (AISTATS) 2023
A fast method to generate hundreds of thousands of synthetic genomes and phenotypes
Sophie Wharrie, Zhiyu Yang, Vishnu Raj, Rahul Gupta, Remo Monti, Ying Wang, Pier Francesco Palamara, Samuel Kaski, Andrea Ganna, Christoph Lippert, Pekka Marttinen
2023
European journal of human genetics
Characterizing personalized effects of family information on disease risk using graph representation learning
Sophie Wharrie, Zhiyu Yang, Andrea Ganna, Samuel Kaski
2023
Proceedings of the 8th Machine Learning for Healthcare Conference
HAPNEST : efficient, large-scale generation and evaluation of synthetic datasets for genotypes and phenotypes
Sophie Wharrie, Zhiyu Yang, Vishnu Raj, Remo Monti, Rahul Gupta, Ying Wang, Alicia Martin, Luke J. O'Connor, Samuel Kaski, Pekka Marttinen, Pier Francesco Palamara, Christoph Lippert, Andrea Ganna
2023
Bioinformatics (Oxford, England)
The influence of inter-regional delays in generating large-scale brain networks of phase synchronization
N. Williams, A. Ojanperä, F. Siebenhühner, B. Toselli, S. Palva, G. Arnulfo, S. Kaski, J. M. Palva
2023
NeuroImage
Stochastic cluster embedding
Zhirong Yang, Yuwei Chen, Denis Sedov, Samuel Kaski, Jukka Corander
2023
STATISTICS AND COMPUTING
Imitation-guided Multimodal Policy Generation from Behaviourally Diverse Demonstrations
Shibei Zhu, Rituraj Kaushik, Samuel Kaski, Ville Kyrki
2023
2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Parallel MCMC Without Embarrassing Failures
Daniel Augusto de Souza, Diego Parente Paiva Mesquita, Samuel Kaski, Luigi Acerbi
2022
Proceedings of The 25th International Conference on Artificial Intelligence and Statistics
Likelihood-Free Inference with Deep Gaussian Processes
Alexander Aushev, Henri Pesonen, Markus Heinonen, Jukka Corander, Samuel Kaski
2022
Computational Statistics & Data Analysis
Approximate Bayesian Computation with Domain Expert in the Loop
Ayush Bharti, Louis Filstroff, Samuel Kaski
2022
Proceedings of the 39th International Conference on Machine Learning
Best-Response Bayesian Reinforcement Learning with Bayes-adaptive POMDPs for Centaurs
Mustafa Mert Çelikok, Frans A. Oliehoek, Samuel Kaski
2022
International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2022
Deconfounded Representation Similarity for Comparison of Neural Networks
Tianyu Cui, Yogesh Kumar, Pekka Marttinen, Samuel Kaski
2022
Advances in Neural Information Processing Systems 35 (NeurIPS 2022)
Gene–gene interaction detection with deep learning
Tianyu Cui, Khaoula El Mekkaoui, Jaakko Reinvall, Aki S. Havulinna, Pekka Marttinen, Samuel Kaski
2022
Communications Biology
Targeted Active Learning for Bayesian Decision-Making
Louis Filstroff, Iiris Sundin, Petrus Mikkola, Aleksei Tiulpin, Juuso Kylmäoja, Samuel Kaski
2022
Submitted
DIVERSE: Bayesian Data IntegratiVE learning for precise drug ResponSE prediction
Betul Guvencpaltun, Samuel Kaski, Hiroshi Mamitsuka
2022
IEEE/ACM Transactions on Computational Biology and Bioinformatics
Variational multiple shooting for Bayesian ODEs with Gaussian processes
Pashupati Hedge, Cagatay Yildiz, Harri Lähdesmäki, Samuel Kaski, Markus Heinonen
2022
Proceedings of the 38th Conference on Uncertainty in Artificial Intelligence (UAI 2022), PMLR
Targeted Causal Elicitation
Nazaal Ibrahim, Ti John, Zhigao Guo, Samuel Kaski
2022
Identification of multiplicatively acting modulatory mutational signatures in cancer
Dovydas Kičiatovas, Qingli Guo, Miika Kailas, Henri Pesonen, Jukka Corander, Samuel Kaski, Esa Pitkänen, Ville Mustonen
2022
BMC Bioinformatics
Locally Differentially Private Bayesian Inference
Tejas Kulkarni, Joonas Jälkö, Samuel Kaski, Antti Honkela
2022
The relationship between electrophysiological and hemodynamic measures of neural activity varies across picture naming tasks: A multimodal magnetoencephalography-functional magnetic resonance imaging study
Tommi Mononen, Jan Kujala, Mia Liljeström, Eemeli Leppäaho, Samuel Kaski, Riitta Salmelin
2022
Frontiers in Neuroscience
Human-in-the-Loop Large-Scale Predictive Maintenance of Workstations
Alexander Nikitin, Samuel Kaski
2022
KDD '22: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
Non-separable spatio-temporal graph kernels via SPDEs
Alexander Nikitin, ST John, Arno Solin, Samuel Kaski
2022
Proceedings of The 25th International Conference on Artificial Intelligence and Statistics
d3p - A Python Package for Differentially-Private Probabilistic Programming
Lukas Prediger, Niki Loppi, Samuel Kaski, Antti Honkela
2022
Proceedings of Privacy Enhancing Technologies
Accounting for stellar activity signals in radial-velocity data by using change point detection techniques star
U. Simola, A. Bonfanti, X. Dumusque, J. Cisewski-Kehe, S. Kaski, J. Corander
2022
Astronomy & Astrophysics
Provably expressive temporal graph networks
Amauri H. Souza, Diego Mesquita, Samuel Kaski, Vikas Garg
2022
Advances in Neural Information Processing Systems 35 (NeurIPS 2022)
Human-in-the-loop assisted de novo molecular design
Iiris Sundin, Alexey Voronov, Haoping Xiao, Kostas Papadopoulos, Esben Jannik Bjerrum, Markus Heinonen, Atanas Patronov, Samuel Kaski, Ola Engkvist
2022
JOURNAL OF CHEMINFORMATICS
Privacy-preserving Data Sharing on Vertically Partitioned Data
Razane Tajeddine, Joonas Jälkö, Samuel Kaski, Antti Honkela
2022
Likelihood-free inference by ratio estimation
Owen M. Thomas, Ritabrata Dutta, Jukka Corander, Samuel Kaski, Michael Gutmann
2022
Bayesian Analysis
Tackling covariate shift with node-based Bayesian neural networks
Trung Q Trinh, Markus Heinonen, Luigi Acerbi, Samuel Kaski
2022
Proceedings of the 39th International Conference on Machine Learning
Modular Flows: Differential Molecular Generation
Yogesh Verma, Samuel Kaski, Markus Heinonen, Vikas Garg
2022
Advances in Neural Information Processing Systems 35 (NeurIPS 2022)
EntityBot : Actionable Entity Recommendations for Everyday Digital Task
Tung Vuong, Salvatore Andolina, Giulio Jacucci, Pedram Daee, Khalil Klouche, Mats Sjöberg, Tuukka Ruotsalo, Samuel Kaski
2022
CHI 2022 - Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems
HAPNEST: an efficient tool for generating large-scale genetics datasets from limited training data
Sophie Wharrie, Zhiyu Yang, Vishnu Raj, Remo Monti, Rahul Gupta, Ying Wang, Alicia Martin, Luke J O'Connor, Samuel Kaski, Pekka Marttinen, Pier Francesco Palamara, Christoph Lippert, Andrea Ganna
2022
Informative Bayesian Neural Network Priors for Weak Signals
Tianyu Cui, Aki S. Havulinna, Pekka Marttinen, Samuel Kaski
2021
Bayesian Analysis
Federated Stochastic Gradient Langevin Dynamics
Khaoula El Mekkaoui, Diego Parente Paiva Mesquita, Paul Blomstedt, Samuel Kaski
2021
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence
Machine learning approaches for drug combination therapies
Betul Guvenc, Samuel Kaski, Hiroshi Mamitsuka
2021
Briefings in Bioinformatics
Bayesian inference of ODEs with Gaussian processes
Pashupati Hegde, Çağatay Yıldız, Harri Lähdesmäki, Samuel Kaski, Markus Heinonen
2021
arXiv.org
Entity Recommendation for Everyday Digital Tasks
Giulio Jacucci, Pedram Daee, Tung Vuong, Salvatore Andolina, Khalil Klouche, Mats Sjöberg, Tuukka Ruotsalo, Samuel Kaski
2021
ACM Transactions on Computer-Human Interaction
Privacy-preserving data sharing via probabilistic modeling
Joonas Jälkö, Eemil Lagerspetz, Jari Haukka, Sasu Tarkoma, Antti Honkela, Samuel Kaski
2021
Patterns
Behaviour-Conditioned Policies for Cooperative Reinforcement Learning Tasks
Antti Keurulainen, Isak Westerlund, Ariel Kwiatkowski, Samuel Kaski, Alexander Ilin
2021
Artificial Neural Networks and Machine Learning – ICANN 2021 - 30th International Conference on Artificial Neural Networks, Proceedings
Learning to Assist Agents by Observing Them
Antti Keurulainen, Isak Westerlund, Samuel Kaski, Alexander Ilin
2021
Artificial Neural Networks and Machine Learning – ICANN 2021 - 30th International Conference on Artificial Neural Networks, Proceedings
Differentially Private Bayesian Inference for Generalized Linear Models
Tejas Kulkarni, Joonas Jälkö, Antti Koskela, Samuel Kaski, Antti Honkela
2021
Proceedings of the 38th International Conference on Machine Learning
Bayesian Inference for Optimal Transport with Stochastic Cost
Anton Mallasto, Markus Heinonen, Samuel Kaski
2021
Proceedings of Asian Conference on Machine Learning
Is this company a lead customer? Estimating stages of B2B buying journey
Neda B. Marvasti, Juho-Petteri Huhtala, Zeinab R. Yousefi, Iiro Vaniala, Bikesh Upreti, Pekka Malo, Samuel Kaski, Henrikki Tikkanen
2021
Industrial Marketing Management
Decision Rule Elicitation for Domain Adaptation
Alexander Nikitin, Samuel Kaski
2021
26th International Conference on Intelligent User Interfaces, IUI 2021
De-randomizing MCMC dynamics with the diffusion Stein operator
Zheyang Shen, Markus Heinonen, Samuel Kaski
2021
Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021
Online content match-making in B2B markets
Bikesh Raj Upreti, Juho-Petteri Huhtala, Henrikki Tikkanen, Pekka Malo, Neda Marvasti, Samuel Kaski, Iiro Vaniala, Pekka Mattila
2021
Industrial Marketing Management
EntityBot
Tung Vuong, Salvatore Andolina, Giulio Jacucci, Pedram Daee, Khalil Klouche, Mats Sjöberg, Tuukka Ruotsalo, Samuel Kaski
2021
RecSys 2021 - 15th ACM Conference on Recommender Systems
A decision-theoretic approach for model interpretability in Bayesian framework
Homayun Afrabandpey, Tomi Peltola, Juho Piironen, Aki Vehtari, Samuel Kaski
2020
Machine Learning
Plasmids shaped the recent emergence of the major nosocomial pathogen Enterococcus faecium
Sergio Arredondo-Alonso, Janetta Top, Alan McNally, Santeri Puranen, Maiju Pesonen, Johan Pensar, Pekka Marttinen, Johanna Braat, Malbert Rogers, Willem van Schaik, Samuel Kaski, Rob J L Willems, Jukka Corander, Anita Schürch
2020
MBIO
Deep Convolutional Gaussian Processes
Kenneth Blomqvist, Samuel Kaski, Markus Heinonen
2020
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Proceedings
Teaching to Learn: Sequential Teaching of Agents with Inner States
Mustafa Mert Çelikok, Pierre-Alexandre Murena, Samuel Kaski
2020
Human Strategic Steering Improves Performance of Interactive Optimization
Fabio Colella, Pedram Daee, Jussi Jokinen, Antti Oulasvirta, Samuel Kaski
2020
UMAP 2020 - Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization
Learning Global Pairwise Interactions with Bayesian Neural Networks
Tianyu Cui, Pekka Marttinen, Samuel Kaski
2020
ECAI 2020 - 24th European Conference on Artificial Intelligence, including 10th Conference on Prestigious Applications of Artificial Intelligence, PAIS 2020 - Proceedings
Differentially private cross-silo federated learning
Mikko A. Heikkilä, Antti Koskela, Kana Shimizu, Samuel Kaski, Antti Honkela
2020
Submitted
Rethinking pooling in graph neural networks
Diego Mesquita, Amauri Souza, Samuel Kaski
2020
Advances in Neural Information Processing Systems 33 pre-proceedings (NeurIPS 2020)
Projective Preferential Bayesian Optimization
Petrus Mikkola, Milica Todorovic, Jari Järvi, Patrick Rinke, Samuel Kaski
2020
37th International Conference on Machine Learning, ICML 2020
Interactive faceted query suggestion for exploratory search
Tuukka Ruotsalo, Giulio Jacucci, Samuel Kaski
2020
JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY
Learning spectrograms with convolutional spectral kernels
Zheyang Shen, Markus Heinonen, Samuel Kaski
2020
The 23rd International Conference on Artificial Intelligence and Statistics
Scalable Probabilistic Matrix Factorization with Graph-Based Priors
Jonathan Strahl, Jaakko Peltonen, Hiroshi Mamitsuka, Samuel Kaski
2020
Proceedings of AAAI-20, AAAI Conference on Artificial Intelligence
A high-performance implementation of Bayesian matrix factorization with limited communication
Tom Vander Aa, Xiangju Qin, Paul Blomstedt, Roel Wuyts, Wilfried Verachtert, Samuel Kaski
2020
Computational Science – ICCS 2020 - 20th International Conference, Proceedings
Substrate specificity of 2-deoxy-D-ribose 5-phosphate aldolase (DERA) assessed by different protein engineering and machine learning methods
Sanni Voutilainen, Markus Heinonen, Martina Andberg, Emmi Jokinen, Hannu Maaheimo, Johan Pääkkönen, Nina Hakulinen, Juha Rouvinen, Harri Lähdesmäki, Samuel Kaski, Juho Rousu, Merja Penttilä, Anu Koivula
2020
Applied Microbiology and Biotechnology
Human-in-the-loop Active Covariance Learning for Improving Prediction in Small Data Sets
Homayun Afrabandpey, Tomi Peltola, Samuel Kaski
2019
Proceedings of the 28th International Joint Conference on Artificial Intelligence, IJCAI 2019
Is the potential B2B buyer interested or ready to buy? Estimating the stage of the B2B buying behavior
Neda Barzegar Marvasti, Juho-Petteri Huhtala, Zeinab Rezaei Yousefi, Bikesh Upreti, Pekka Malo, Samuel Kaski, Henrikki Tikkanen
2019
Meta-analysis of Bayesian analyses
Paul Blomstedt, Diego Mesquita, Jarno Lintusaari, Tuomas Sivula, Jukka Corander, Samuel Kaski
2019
Submitted
Interactive AI with a Theory of Mind
Mustafa Mert Çelikok, Tomi Peltola, Pedram Daee, Samuel Kaski
2019
Block HSIC Lasso
Héctor Climente-González, Chloé Agathe Azencott, Samuel Kaski, Makoto Yamada
2019
Bioinformatics
Modelling G×E with historical weather information improves genomic prediction in new environments
Jussi Gillberg, Pekka Marttinen, Hiroshi Mamitsuka, Samuel Kaski
2019
Bioinformatics (Oxford, England)
Improving drug response prediction by integrating multiple data sources: matrix factorization, kernel and network-based approaches
Betul Guvenc, Hiroshi Mamitsuka, Samuel Kaski
2019
Briefings in Bioinformatics
Deep learning with differential Gaussian process flows
Pashupati Hegde, Markus Heinonen, Harri Lähdesmäki, Samuel Kaski
2019
The 22nd International Conference on Artificial Intelligence and Statistic
Bayesian metabolic flux analysis reveals intracellular flux couplings
Markus Heinonen, Maria Osmala, Henrik Mannerström, Janne Wallenius, Samuel Kaski, Juho Rousu, Harri Lähdesmäki
2019
Bioinformatics
Aaltovaikutus = The Aalto Effect
Minna Hölttä, Andrew Flowers, Riikka Hopiavaara, Riitta Särkisilta-Lundberg, Annamari Tolonen, Helena Seppälä, Niina Norjamäki, Susanna Rosin, Terhi Ollikainen, Krista Kinnunen, Tiina Aulanko-Jokirinne, Sanna Syri, Mari Lundström, Teemu Malmi, Tuukka Saarimaa, Susanna Helke, Samuel Kaski, Markus Mäkelä, Milos Mladenovic, Heikki Remes
2019
Integrating neurophysiologic relevance feedback in intent modeling for information retrieval
Giulio Jacucci, Oswald Barral, Pedram Daee, Markus Wenzel, Baris Serim, Tuukka Ruotsalo, Patrik Pluchino, Jonathan Freeman, Luciano Gamberini, Samuel Kaski, Benjamin Blankertz
2019
JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY
Parameter Inference for Computational Cognitive Models with Approximate Bayesian Computation
Antti Kangasrääsiö, Jussi P.P. Jokinen, Antti Oulasvirta, Andrew Howes, Samuel Kaski
2019
Cognitive Science
Discovering heritable modes of MEG spectral power
Eemeli Leppäaho, Hanna Renvall, Elina Salmela, Juha Kere, Riitta Salmelin, Samuel Kaski
2019
Human Brain Mapping
Resolving outbreak dynamics using approximate bayesian computation for stochastic birth–death models
Jarno Lintusaari, Paul Blomstedt, Brittany Rose, Tuomas Sivula, Michael U. Gutmann, Samuel Kaski, Jukka Corander
2019
Wellcome Open Research
Learning Image Relations with Contrast Association Networks
Yao Lu, Zhirong Yang, Juho Kannala, Samuel Kaski
2019
2019 International Joint Conference on Neural Networks, IJCNN 2019
Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen
Michael P. Menden, Dennis Wang, Mike J. Mason, Bence Szalai, Krishna C. Bulusu, Yuanfang Guan, Thomas Yu, Jaewoo Kang, Minji Jeon, Russ Wolfinger, Tin Nguyen, Mikhail Zaslavskiy, Jordi Abante, Barbara Schmitz Abecassis, Nanne Aben, Delasa Aghamirzaie, Tero Aittokallio, Farida S. Akhtari, Bissan Al-lazikani, Tanvir Alam, Amin Allam, Chad Allen, Mariana Pelicano de Almeida, Doaa Altarawy, Vinicius Alves, Alicia Amadoz, Benedict Anchang, Albert A. Antolin, Jeremy R. Ash, Victoria Romeo Aznar, Wail Ba-alawi, Moeen Bagheri, Vladimir Bajic, Gordon Ball, Pedro J. Ballester, Delora Baptista, Christopher Bare, Mathilde Bateson, Andreas Bender, Denis Bertrand, Bhagya Wijayawardena, Keith A. Boroevich, Evert Bosdriesz, Mehmet Gonen, Samuel Kaski, Suleiman Ali Khan, Hiroshi Mamitsuka, Pekka Marttinen, Xin Wang, Alexey Zakharov
2019
Nature Communications
Embarrassingly parallel MCMC using deep invertible transformations
Diego Mesquita, Paul Blomstedt, Samuel Kaski
2019
Proceedings of The 35th Uncertainty in Artificial Intelligence Conference
Representation transfer for differentially private drug sensitivity prediction
Teppo Niinimäki, Mikko A. Heikkilä, Antti Honkela, Samuel Kaski
2019
Bioinformatics
Machine Teaching of Active Sequential Learners
Tomi Peltola, Mustafa Mert Çelikok, Pedram Daee, Samuel Kaski
2019
33rd Conference on Neural Information Processing Systems
Distributed Bayesian matrix factorization with limited communication
Xiangju Qin, Paul Blomstedt, Eemeli Leppäaho, Pekka Parviainen, Samuel Kaski
2019
Machine Learning
Scalable Bayesian non-linear matrix completion
Xiangju Qin, Paul Blomstedt, Samuel Kaski
2019
Proceedings of the 28th International Joint Conference on Artificial Intelligence, IJCAI 2019
Harmonizable mixture kernels with variational Fourier features
Zheyang Shen, Markus Heinonen, Samuel Kaski
2019
The 22nd International Conference on Artificial Intelligence and Statistics
Local dimension reduction of summary statistics for likelihood-free inference
Jukka Siren, Samuel Kaski
2019
STATISTICS AND COMPUTING
Active Learning for Decision-Making from Imbalanced Observational Data
Iiris Sundin, Peter Schulam, Eero Siivola, Aki Vehtari, Suchi Saria, Samuel Kaski
2019
36th International Conference on Machine Learning, ICML 2019
User Modelling for Avoiding Overfitting in Interactive Knowledge Elicitation for Prediction
Pedram Daee, Tomi Peltola, Aki Vehtari, Samuel Kaski
2018
IUI 2018 - Proceedings of the 23rd International Conference on Intelligent User Interfaces
Likelihood-free inference via classification
Michael U. Gutmann, Ritabrata Dutta, Samuel Kaski, Jukka Corander
2018
STATISTICS AND COMPUTING
Variational zero-inflated Gaussian processes with sparse kernels
Pashupati Hegde, Markus Heinonen, Samuel Kaski
2018
34th Conference on Uncertainty in Artificial Intelligence 2018, UAI 2018
Efficient differentially private learning improves drug sensitivity prediction
Antti Honkela, Mrinal Das, Arttu Nieminen, Onur Dikmen, Samuel Kaski
2018
Biology Direct
Inverse reinforcement learning from summary data
Antti Kangasrääsiö, Samuel Kaski
2018
Machine Learning
AI is far from ready
Samuel Kaski
2018
ELFI: Engine for likelihood-free inference
Jarno Lintusaari, Henri Vuollekoski, Antti Kangasrääsiö, Kusti Skytén, Marko Järvenpää, Pekka Marttinen, Michael U. Gutmann, Aki Vehtari, Jukka Corander, Samuel Kaski
2018
Journal of Machine Learning Research
Phenotype-driven identification of epithelial signalling clusters
Elsa Marques, Tomi Peltola, Samuel Kaski, Juha Klefström
2018
Scientific Reports
Deep Transfer Learning of Representations for Differentially Private Learning
Teppo Niinimäki, Mikko A. Heikkilä, Samuel Kaski, Antti Honkela
2018
Probabilistic Formulation of the Take The Best Heuristic
Tomi Peltola, Jussi Jokinen, Samuel Kaski
2018
CogSci 2018 Proceedings
Depression, depressive symptoms and treatments in women who have recently given birth
Irene Petersen, Tomi Peltola, Samuel Kaski, Kate R Walters, Sarah Hardoon
2018
BMJ Open
Interactive Intent Modeling for Exploratory Search
Tuukka Ruotsalo, Jaakko Peltonen, Manuel JA Eugster, Dorota Glowacka, Patrik Floréen, Petri Myllymäki, Giulio Jacucci, Samuel Kaski
2018
ACM Transactions on Information Systems
Improving genomics-based predictions for precision medicine through active elicitation of expert knowledge
Iiris Sundin, Tomi Peltola, Luana Micallef, Homayun Afrabandpey, Marta Soare, Muntasir Mamun Majumder, Pedram Daee, Chen He, Baris Serim, Aki Havulinna, Caroline Heckman, Giulio Jacucci, Pekka Marttinen, Samuel Kaski
2018
Bioinformatics
Using counterfactual queries to improve models for decision-support
Iiris Sundin, Peter Schulam, Eero Siivola, Aki Vehtari, Suchi Saria, Samuel Kaski
2018
Interactive Prior Elicitation of Feature Similarities for Small Sample Size Prediction
Homayun Afrabandpey, Tomi Peltola, Samuel Kaski
2017
Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization
The inconvenience of data of convenience
Chloé Agathe Azencott, Tero Aittokallio, Sushmita Roy, Thea Norman, Stephen Friend, Gustavo Stolovitzky, Anna Goldenberg, Ankit Agrawal, Emmanuel Barillot, Nikolai Bessonov, Deborah Chasman, Urszula Czerwinska, Alireza Fotuhi Siahpirani, Jan Greenberg, Manuel Huber, Samuel Kaski, Christoph Kurz, Marsha Mailick, Michael Merzenich, Nadya Morozova, Arezoo Movaghar, Mor Nahum, Torbjörn E.M. Nordling, Robert Penner, Krishanu Saha, Asif Salim, Siamak Sorooshyari, Vassili Soumelis, Alit Stark-Inbar, Audra Sterling, S. S. Shiju, Jing Tang, Alen Tosenberger, Thomas Van Vieet, Krister Wennerberg, Andrey Zinovyev
2017
Nature Methods
BCI for physiological text annotation
Oswald Barral, Ilkka Kosunen, Tuukka Ruotsalo, Michiel M. Spapé, Manuel J A Eugster, Niklas Ravaja, Samuel Kaski, Giulio Jacucci
2017
BCIforReal 2017 - Proceedings of the 2017 ACM Workshop on An Application-Oriented Approach to BCI Out of the Laboratory, co-located with IUI 2017
Multi-view kernel completion
Sahely Bhadra, Samuel Kaski, Juho Rousu
2017
Machine Learning
Knowledge elicitation via sequential probabilistic inference for high-dimensional prediction
Pedram Daee, Tomi Peltola, Marta Soare, Samuel Kaski
2017
Machine Learning
A Community Challenge for Inferring Genetic Predictors of Gene Essentialities through Analysis of a Functional Screen of Cancer Cell Lines
Mehmet Gönen, Barbara A. Weir, Glenn S. Cowley, Francisca Vazquez, Yuanfang Guan, Alok Jaiswal, Masayuki Karasuyama, Vladislav Uzunangelov, Tao Wang, Aviad Tsherniak, Sara Howell, Daniel Marbach, Bruce Hoff, Thea C. Norman, Antti Airola, Adrian Bivol, Kerstin Bunte, Daniel Carlin, Sahil Chopra, Alden Deran, Kyle Ellrott, Peddinti Gopalacharyulu, Kiley Graim, Samuel Kaski, Suleiman A. Khan, Yulia Newton, Sam Ng, Tapio Pahikkala, Evan Paull, Artem Sokolov, Hao Tang, Jing Tang, Krister Wennerberg, Yang Xie, Xiaowei Zhan, Fan Zhu, Tero Aittokallio, Hiroshi Mamitsuka, Joshua M. Stuart, Jesse S. Boehm, David E. Root, Guanghua Xiao, Gustavo Stolovitzky, William C. Hahn, Adam A. Margolin
2017
Cell Systems
MediSyn
Chen He, Luana Micallef, Zia-Ur-Rehman Tanoli, Samuel Kaski, Tero Aittokallio, Giulio Jacucci
2017
BMC Bioinformatics
Differentially Private Bayesian Learning on Distributed Data
Mikko A. Heikkilä, Eemil Lagerspetz, Samuel Kaski, Kana Shimizu, Sasu Tarkoma, Antti Honkela
2017
Advances in Neural Information Processing Systems 30
Inference of Strategic Behavior based on Incomplete Observation Data
Antti Kangasrääsiö, Samuel Kaski
2017
NIPS17 Workshop: Learning in the Presence of Strategic Behavior
Inferring Cognitive Models from Data using Approximate Bayesian Computation
Antti Kangasrääsiö, Kumaripaba Athukorala, Andrew Howes, Jukka Corander, Samuel Kaski, Antti Oulasvirta
2017
Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems
Modelling Human Decision-making based on Aggregate Observation Data
Antti Kangasrääsiö, Samuel Kaski
2017
Human In The Loop-ML Workshop at ICML
A transcriptomics data-driven gene space accurately predicts liver cytopathology and drug-induced liver injury
Pekka Kohonen, Juuso A. Parkkinen, Egon L. Willighagen, Rebecca Ceder, Krister Wennerberg, Samuel Kaski, Roland C. Grafström
2017
Nature Communications
GFA
Eemeli Leppäaho, Muhammad Ammad-ud-din, Samuel Kaski
2017
Journal of Machine Learning Research
ELFI, a software package for likelihood-free inference
Jarno Lintusaari, Henri Vuollekoski, Antti Kangasrääsiö, Kusti Skyten, Marko Järvenpää, Michael Gutmann, Aki Vehtari, Jukka Corander, Samuel Kaski
2017
Resolving outbreak dynamics using Approximate Bayesian Computation for stochastic birth-death models
Jarno Lintusaari, Paul Blomstedt, Tuomas Sivula, Michael U. Gutmann, Samuel Kaski, Jukka Corander
2017
bioRxiv.org
Interactive Elicitation of Knowledge on Feature Relevance Improves Predictions in Small Data Sets
Luana Micallef, Iiris Sundin, Pekka Marttinen, Muhammad Ammad-Ud-Din, Tomi Peltola, Marta Soare, Giulio Jacucci, Samuel Kaski
2017
IUI 2017 - Proceedings of the 22nd International Conference on Intelligent User Interfaces
Learning structures of Bayesian networks for variable groups
Pekka Parviainen, Samuel Kaski
2017
INTERNATIONAL JOURNAL OF APPROXIMATE REASONING
A Mutually-Dependent Hadamard Kernel for Modelling Latent Variable Couplings
Sami Remes, Markus Heinonen, Samuel Kaski
2017
Proceedings of the 9th Asian Conference on Machine Learning
Non-Stationary Spectral Kernels
Sami Remes, Markus Heinonen, Samuel Kaski
2017
Advances in Neural Information Processing Systems 30
Low-dimensional information discovery and presentation system, apparatus and method
Tuukka Ruotsalo, Jaakko Peltonen, Manuel Eugster, Petri Myllymäki, Giulio Jacucci, Samuel Kaski, Dorota Glowacka
2017
Regression with n → 1 by expert knowledge elicitation
Marta Soare, Muhammad Ammad-Ud-din, Samuel Kaski
2017
Proceedings - 2016 15th IEEE International Conference on Machine Learning and Applications, ICMLA 2016
Convex factorization machine for toxicogenomics prediction
Makoto Yamada, Wenzhao Lian, Amit Goyal, Jianhui Chen, Kishan Wimalawarne, Suleiman A. Khan, Samuel Kaski, Hiroshi Mamitsuka, Yi Chang
2017
KDD 2017 - Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
Localized Lasso for High-Dimensional Regression
Makoto Yamada, Takeuchi Koh, Tomoharu Iwata, John Shawe-Taylor, Samuel Kaski
2017
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics
Drug response prediction by inferring pathway-response associations with kernelized Bayesian matrix factorization
Muhammad Ammad-ud-din, Suleiman A. Khan, Disha Malani, Astrid Murumägi, Olli Kallioniemi, Tero Aittokallio, Samuel Kaski
2016
Bioinformatics
Extracting relevance and affect information from physiological text annotation
Oswald Barral, Ilkka Kosunen, Tuukka Ruotsalo, Michiel M. Spapé, Manuel J A Eugster, Niklas Ravaja, Samuel Kaski, Giulio Jacucci
2016
User Modeling and User-Adapted Interaction
Modelling-based experiment retrieval
Paul Blomstedt, Ritabrata Dutta, Sohan Seth, Alvis Brazma, Samuel Kaski
2016
Bioinformatics
Sparse group factor analysis for biclustering of multiple data sources
Kerstin Bunte, Eemeli Leppäaho, Inka Saarinen, Samuel Kaski
2016
Bioinformatics
A Latent Feature Model Approach to Biclustering
José Caldas, Samuel Kaski
2016
International Journal of Knowledge Discovery in Bioinformatics
Interactive intent modeling from multiple feedback domains
Pedram Daee, Joel Pyykkö, Dorota Glowacka, Samuel Kaski
2016
International Conference on Intelligent User Interfaces, Proceedings IUI
Probabilistic Expert Knowledge Elicitation of Feature Relevances in Sparse Linear Regression
Pedram Daee, Tomi Peltola, Marta Soare, Samuel Kaski
2016
Natural brain-information interfaces: Recommending information by relevance inferred from human brain signals
Manuel Eugster, Tuukka Ruotsalo, Michiel Spape, Oswald Barral, Niklas Ravaja, Giulio Jacucci, Samuel Kaski
2016
Scientific Reports
A Robust Convex Formulation for Ensemble Clustering
Junning Gao, Makoto Yamada, Samuel Kaski, Hiroshi Mamitsuka, Shanfeng Zhu
2016
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence (IJCAI-16)
Multiple output regression with latent noise
Leo Gillberg, Pekka Marttinen, Matti Pirinen, Antti J. Kangas, Pasi Soininen, Mehreen Ali, Aki S. Havulinna, Marjo Riitta Järvelin, Mika Ala-Korpela, Samuel Kaski
2016
Journal of Machine Learning Research
Generating data to improve protein stability prediction
Markus Heinonen, Emmi Jokinen, Samuel Kaski, Juho Rousu, Harri Lähdesmäki
2016
Non-Stationary Gaussian Process Regression with Hamiltonian Monte Carlo
Markus Heinonen, Henrik Mannerström, Juho Rousu, Samuel Kaski, Harri Lähdesmäki
2016
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics
Dealing with Concept Drift in Exploratory Search: An Interactive Bayesian Approach
Antti Kangasrääsiö, Yi Chen, Dorota Glowacka, Samuel Kaski
2016
ELFI: Engine for Likelihood-Free Inference
Antti Kangasrääsiö, Jarno Lintusaari, Kusti Skyten, Marko Järvenpää, Henri Vuollekoski, Michael Gutmann, Aki Vehtari, Jukka Corander, Samuel Kaski
2016
Interactive modeling of concept drift and errors in relevance feedback
Antti Kangasrääsiö, Yi Chen, Dorota Głowacka, Samuel Kaski
2016
UMAP 2016 - Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization
Personalization of Search Results using Interactive Intent Modeling
Antti Kangasrääsiö, Dorota Głowacka, Samuel Kaski
2016
ICML 2016 Workshop on Computational Frameworks for Personalization
Bayesian multi-tensor factorization
Suleiman Khan, Eemeli Leppäaho, Samuel Kaski
2016
Machine Learning
Fundamentals and Recent Developments in Approximate Bayesian Computation
Jarno Lintusaari, Michael Gutmann, Ritabrata Dutta, Samuel Kaski, Jukka Corander
2016
SYSTEMATIC BIOLOGY
On the identifiability of transmission dynamic models for infectious diseases
Jarno Lintusaari, Michaelu Gutmann, Samuel Kaski, Jukka Corander
2016
GENETICS
Bayesian Networks for Variable Groups
Pekka Parviainen, Samuel Kaski
2016
JMLR: Workshop and Conference Proceedings
Classification of weak multi-view signals by sharing factors in a mixture of Bayesian group factor analyzers
Sami Remes, Tommi Mononen, Samuel Kaski
2016
Proceedings of the 5th Workshop on Machine Learning and Interpretation in Neuroimaging (MLINI) at NIPS 2015
Preliminary studies on personalized preference prediction from gaze in comparing visualizations
Hamed Rezazadegan Tavakoli, Hanieh Poostchimohammadabadi, Jaakko Peltonen, Jorma Laaksonen, Samuel Kaski
2016
Advances in Visual Computing
Crowdsourced assessment of common genetic contribution to predicting anti-TNF treatment response in rheumatoid arthritis
Solveig K. Sieberts, Fan Zhu, Javier García-García, Eli Stahl, Abhishek Pratap, Gaurav Pandey, Dimitrios Pappas, Daniel Aguilar, Bernat Anton, Jaume Bonet, Ridvan Eksi, Oriol Fornés, Emre Guney, Hongdong Li, Manuel Alejandro Marín, Bharat Panwar, Joan Planas-Iglesias, Daniel Poglayen, Jing Cui, Andre O. Falcao, Christine Suver, Bruce Hoff, Venkat S K Balagurusamy, Donna Dillenberger, Elias Chaibub Neto, Thea Norman, Tero Aittokallio, Muhammad Ammad-Ud-Din, Chloe Agathe Azencott, Víctor Bellón, Valentina Boeva, Kerstin Bunte, Himanshu Chheda, Lu Cheng, Jukka Corander, Michel Dumontier, Anna Goldenberg, Peddinti Gopalacharyulu, Mohsen Hajiloo, Daniel Hidru, Alok Jaiswal, Samuel Kaski, Beyrem Khalfaoui, Suleiman Ali Khan, Eric R. Kramer, Pekka Marttinen, Aziz M. Mezlini, Bhuvan Molparia, Matti Pirinen, Janna Saarela, Matthias Samwald, Véronique Stoven, Hao Tang, Jing Tang, Ali Torkamani, Jean Phillipe Vert, Bo Wang, Tao Wang, Krister Wennerberg, Nathan E. Wineinger, Guanghua Xiao, Yang Xie, Rae Yeung, Xiaowei Zhan, Cheng Zhao, Jeff Greenberg, Joel Kremer, Kaleb Michaud, Anne Barton, Marieke Coenen, Xavier Mariette, Corinne Miceli, Nancy Shadick, Michael Weinblatt, Niek De Vries, Paul P. Tak, Danielle Gerlag, Tom W J Huizinga, Fina Kurreeman, Cornelia F. Allaart, S. Louis Bridges, Lindsey Criswell, Larry Moreland, Lars Klareskog, Saedis Saevarsdottir, Leonid Padyukov, Peter K. Gregersen, Stephen Friend, Robert Plenge, Gustavo Stolovitzky, Baldo Oliva, Yuanfang Guan, Lara M. Mangravite
2016
Nature Communications
Interactive user intent modeling for eliciting priors of a normal linear model
Iiris Sundin, Luana Micallef, Pekka Marttinen, Muhammad Ammad-Ud-Din, Tomi Peltola, Marta Soare, Giulio Jacucci, Samuel Kaski
2016
Visualizations relevant to the user by multi-view latent variable factorization
Seppo Virtanen, Homayun Afrabandpey, Samuel Kaski
2016
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Exploring peripheral physiology as a predictor of perceived relevance in information retrieval
Oswald Barral, Manuel J.A. Eugster, Tuukka Ruotsalo, Michiel Sovijärvi-Spape, Ilkka Kosunen, Niklas Ravaja, Samuel Kaski, Giulio Jacucci
2015
International Conference on Intelligent User Interfaces (IUI), Atlanta, USA, March 29 - April 1, 2015
Advances in Independent Component Analysis and Learning Machines
Ella Bingham, Samuel Kaski, Jorma Laaksonen, Jouko Lampinen
2015
Prediction of human population responses to toxic compounds by a collaborative competition
Federica Eduati, Lara M. Mangravite, Tao Wang, Hao Tang, J. Christopher Bare, Ruili Huang, Thea Norman, Mike Kellen, Michael P. Menden, Jichen Yang, Xiaowei Zhan, Rui Zhong, Guanghua Xiao, Menghang Xia, Nour Abdo, Oksana Kosyk, Stephen Friend, Allen Dearry, Anton Simeonov, Raymond R. Tice, Ivan Rusyn, Fred A. Wright, Gustavo Stolovitzky, Yang Xie, Julio Saez-Rodriguez, Tero Aittokallio, Salvatore Alaimo, Alicia Amadoz, Muhammad Ammad-ud-din, Chloé Agathe Azencott, Jaume Bacardit, Pelham Barron, Elsa Bernard, Andreas Beyer, Shao Bin, Alena van Bömmel, Karsten Borgwardt, April M. Brys, Brian Caffrey, Jeffrey Chang, Jungsoo Chang, Himanshu Chheda, Eleni G. Christodoulou, Mathieu Clément-Ziza, Trevor Cohen, Marianne Cowherd, Sofie Demeyer, Joaquin Dopazo, Joel D. Elhard, Samuel Kaski
2015
NATURE BIOTECHNOLOGY
Developing a Symbiotic System for Scientific Information Seeking
Luciano Gamberini, Anna Spagnolli, Benjamin Blankertz, Samuel Kaski, Jonathan Freeman, Laura Acqualagna, Oswald Barral, Maura Bellio, Luca Chech, Manuel Eugster, Eva Ferrari, Paolo Negri, Valeria Orso, Patrik Pluchino, Filippo Minelle, Baris Serim, Markus Wenzel, Giulio Jacucci
2015
Symbiotic Interaction. Symbiotic 2015
Toward the Replacement of Animal Experiments through the Bioinformatics-driven Analysis of 'Omics' Data from Human Cell Cultures
Roland C. Grafström, Penny Nymark, Vesa Hongisto, Ola Spjuth, Rebecca Ceder, Egon Willighagen, Barry Hardy, Samuel Kaski, Pekka Kohonen
2015
ATLA: Alternatives to Laboratory Animals
Improving Controllability and Predictability of Interactive Recommendation Interfaces for Exploratory Search
Antti Kangasrääsiö, Dorota Glowacka, Samuel Kaski
2015
International Conference on Intelligent User Interfaces (IUI'15), Atlanta, GA, 29.3.2015
Towards brain-activity-controlled information retrieval: Decoding image relevance from MEG signals
Jukka-Pekka Kauppi, Melih Kandemir, Veli-Matti Saarinen, Lotta Hirvenkari, Lauri Parkkonen, Arto Klami, Riitta Hari, Samuel Kaski
2015
NeuroImage
Group Factor Analysis
Arto Klami, Seppo Virtanen, Eemeli Leppäaho, Samuel Kaski
2015
IEEE Transactions on Neural Networks
Interactive Intent Modeling: Information Discovery Beyond Search
Tuukka Ruotsalo, Giulio Jacucci, Petri Myllymaki, Samuel Kaski
2015
Communications of the ACM
Scinet: Interactive intent modeling for information discovery
Tuukka Ruotsalo, Jaakko Peltonen, Manuel J A Eugster, Dorota Glowacka, Aki Reijonen, Giulio Jacucci, Petri Myllymäki, Samuel Kaski
2015
SIGIR 2015 - Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval
Majorization-Minimization for Manifold Embedding
Zhirong Yang, Jaakko Peltonen, Samuel Kaski
2015
The 18th International Conference on Artificial Intellgence and Statistics (AISTATS'15), San Diego, USA, May 9-12, 2015
Integrative and personalized QSAR analysis in cancer by kernelized Bayesian matrix factorization
Muhammad Ammad-ud-din, Elisabeth Georgii, Mehmet Gönen, Tuomo Laitinen, Olli Kallioniemi, Krister Wennerberg, Antti Poso, Samuel Kaski
2014
JOURNAL OF CHEMICAL INFORMATION AND MODELING
Optimal neighborhood preserving visualization by maximum satisfiability
Kerstin Bunte, Matti Järvisalo, Jeremias Berg, Petri Myllymäki, Jaakko Peltonen, Samuel Kaski
2014
Association for the advancement of artificial intelligence conference, AAAI-14, Québec, Canada, July 2014
A community effort to assess and improve drug sensitivity prediction algorithms
James C Costello, Laura M Heiser, Elisabeth Georgii, Mehmet Gönen, Michael P Menden, Nicholas J Wang, Mukesh Bansal, Muhammad Ammad-ud-din, Petteri Hintsanen, Suleiman A Khan, John-Patrick Mpindi, Olli Kallioniemi, Antti Honkela, Tero Aittokallio, Krister Wennerberg, NCI DREAM Community, James J Collins, Dan Gallahan, Dinah Singer, Julio Saez-Rodriguez, Samuel Kaski, Joe W Gray, Gustavo Stolovitzky
2014
NATURE BIOTECHNOLOGY
Predicting term-relevance from brain signals
Manuel J.A. Eugster, Tuukka Ruotsalo, Michiel Spapé, Ilkka Kosunen, Oswald Barral, Niklas Ravaja, Niklas Jacucci, Samuel Kaski
2014
Annual International ACM SIGIR Conference on Research & Development in Information Retrieval, (SIGIR 2014), Gold Coast, Australia, 6-11 July 2014
Toward Computational Cumulative Biology by Combining Models of Biological Datasets
Ali Faisal, Jaakko Peltonen, Elisabeth Georgii, Johan Rung, Samuel Kaski
2014
PloS one
Kernelized Bayesian Matrix Factorization
Mehmet Gönen, Samuel Kaski
2014
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computational Statistics Approaches to Study Metabolic Syndrome
Ilkka Huopaniemi, Samuel Kaski
2014
A Systems Biology Approach to Study Metabolic Syndrome
Multi-task and multi-view learning of user state
Melih Kandemir, Akos Vetek, Mehmet Gönen, Arto Klami, Samuel Kaski
2014
Neurocomputing
Improving controllability and predictability of an interactive user model driven search interface
Antti Kangasrääsiö, Dorota Glowacka, Samuel Kaski
2014
Interactive Visualization of Search Intent for Exploratory Information Retrieval
Antti Kangasrääsiö, Dorota Glowacka, Tuukka Ruotsalo, Jaakko Peltonen, Manuel Eugster, Ksenia Konyushkova, Kumaripaba Athukorala, Ilkka Kosunen, Aki Reijonen, Petri Myllymäki, Giulio Jacucci, Samuel Kaski
2014
Preface
Samuel Kaski, Jukka Corander
2014
Journal of Machine Learning Research
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, JMLR W&CP, Vol. 33
Samuel Kaski, Jukka Corander
2014
Bayesian Multi-View Tensor Factorization
Suleiman A. Khan, Samuel Kaski
2014
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML'14, Nancy, September 15-19, 2014
Identification of structural features in chemicals associated with cancer drug response: A systematic data-driven analysis
Suleiman A. Khan, Seppo Virtanen, Olli P. Kallioniemi, Krister Wennerberg, Antti Poso, Samuel Kaski
2014
Bioinformatics
Assessing multivariate gene-metabolome associations with rare variants using Bayesian reduced rank regression
Pekka Marttinen, Matti Pirinen, Antti-Pekka Sarin, Jussi Gillberg, Johannes Kettunen, Ida Surakka, Antti J Kangas, Pasi Soininen, Paul "O'Reilly", Marika Kaakinen, Mika Kähönen, Terho Lehtimäki, Mika Ala-Korpela, Olli T Raitakari, Veikko Salomaa, Marjo-Riitta Järvelin, Samuli Ripatti, Samuel Kaski
2014
Bioinformatics
Probabilistic drug connectivity mapping
Juuso A. Parkkinen, Samuel Kaski
2014
BMC Bioinformatics
Toward computational cumulative biology by combining models of biological datasets
Jaakko Peltonen, Ali Faisal, Elisabeth Georgii, Johan Rung, Samuel Kaski
2014
Workshop on Machine Learning in Computational Biology, Neural Information Processing Systems, NIPS2014, 8-13 December, Montreal, Canada
Bayesian Optimization in Interactive Scientific Search
Tuukka Ruotsalo, Jaakko Peltonen, Manuel J.A. Eugster, Dorota Glowacka, Ksenia Konyushkova, Kumaripaba Athukorala, Ilkka Kosunen, Aki Reijonen, Petri Myllymäki, Giulio Jacucci, Samuel Kaski
2014
Workshop on Bayesian Optimization in Academia and Industry, Neural Information Processing Systems, NIPS2014, 8-13 December, Montreal, Canada
Intentradar: Search User Interface That Anticipates User's Search Intents
Tuukka Ruotsalo, Jaakko Peltonen, Manuel J.A. Eugster, Dorota Glowacka, Aki Reijonen, Giulio Jacucci, Petri Myllymäki, Samuel Kaski
2014
ACM CHI Conference on Human Factors in Computing Systems, CHI 2014, 26 April-1 May, Toronto, Canada
Exploration and retrieval of whole-metagenome sequencing samples
Sohan Seth, Niko Välimäki, Samuel Kaski, Antti Honkela
2014
Bioinformatics
Retrieval of experiments by efficient comparison of marginal likelihoods
Sohan Seth, John Shawe-Taylor, Samuel Kaski
2014
International conference on neural information processing, Kuching, Malaysia, November 3-6, 2014
Joint Workshop on Personalised Information Access-PIA 2014
Ben Steichen, Tuukka Ruotsalo, Maristella Agosti, Giulio Jacucci, Séamus Lawless, Peter Brusilovsky, Vincent Wade, Samuel Kaski, Oswald Barral
2014
UMAP 2014 Extended Proceedings
Cross-organism toxicogenomics with group factor analysis
Tommi Suvitaival, Juuso Parkkinen, Seppo Virtanen, Samuel Kaski
2014
Systems Biomedicine
Stronger findings for metabolomics through Bayesian modeling of multiple peaks and compound correlations
Tommi Suvitaival, Simon Rogers, Samuel Kaski
2014
Bioinformatics
Stronger findings from mass spectral data through multi-peak modeling
Tommi Suvitaival, Simon Rogers, Samuel Kaski
2014
BMC Bioinformatics
Optimization equivalence of divergences improves neighbor embedding
Zhirong Yang, Jaakko Peltonen, Samuel Kaski
2014
International Conference on Machine Learning, ICML 2014, 21-26 June, Beijing, P. R. China
Adaptive timeline interface to personal history data
Antti Ajanki, Markus Koskela, Jorma Laaksonen, Samuel Kaski
2013
ICMI 2013 - Proceedings of the 2013 ACM International Conference on Multimodal Interaction
Directing Exploratory Search: Reinforcement Learning from User Interactions with Keywords
Dorota Glowacka, Tuukka Ruotsalo, Ksenia Konyushkova, Kumaripaba Athukorala, Samuel Kaski, Giulio Jacucci
2013
International Conference on Intelligent User Interfaces, Santa Monica, CA, March 19-22, 2013
SciNet: A System for Browsing Scientific Literature through Keyword Manipulation
Dorota Glowacka, Tuukka Ruotsalo, Ksenia Konyushkova, Kumaripaba Athukorala, Samuel Kaski, Giulio Jacucci
2013
International Conference on Intelligent User Interfaces, Santa Monica, CA, March 19-22, 2013
Kernelized Bayesian Matrix Factorization
Mehmet Gönen, Suleiman A. Khan, Samuel Kaski
2013
30th International Conference on Machine Learning ICML, Atlanta, Georgia, USA, June 16-21,2013
Bayesian Canonical Correlation Analysis
Arto Klami, Seppo Virtanen, Samuel Kaski
2013
Journal of Machine Learning Research
Identifying fragments of natural speech from the listener's MEG signals
Miika Koskinen, Jaakko Viinikanoja, Mikko Kurimo, Arto Klami, Samuel Kaski, Riitta Hari
2013
Human Brain Mapping
Systematic use of computational methods allows stratification of treatment responders in glioblastoma multiforme
Riku Louhimo, Viljami Aittomäki, Ali Faisal, Marko Laakso, Ping Chen, Kristian Ovaska, Erkka Valo, Leo Lahti, Vladimir Rogojin, Samuel Kaski, Sampsa Hautaniemi
2013
Systems Biomedicine
Genome-wide association studies with high-dimensional phenotypes
P. Marttinen, Leo Gillberg, A. Havulinna, J. Corander, S. Kaski
2013
STATISTICAL APPLICATIONS IN GENETICS AND MOLECULAR BIOLOGY
Information Retrieval Perspective to Interactive Data Visualization
Jaakko Peltonen, Max Sandholm, Samuel Kaski
2013
The Eurographics Conference on Visualization (Eurovis 2013), Leipzig, Germany, Leipzig, Germany, 2013
Directing exploratory search with interactive intent modeling
Tuukka Ruotsalo, Jaakko Peltonen, Manuel Eugster, Dorota Glowacka, Ksenia Konyushkova, Kumaripaba Athukorala, Ilkka Kosunen, Aki Reijonen, Petri Myllymäki, Giulio Jacucci, Samuel Kaski
2013
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Supporting Exploratory Search Tasks with Interactive User Modelling
Tuukka Ruotsalo, Kumaripaba Athukorala, Dorota Glowacka, Ksenia Konyushkova, Antti Oulasvirta, Samuli Kaipiainen, Samuel Kaski, Giulio Jacucci
2013
ASIST 2013, the 76th ASIS&T Annual Meeting
Scalable Optimization of Neighbor Embedding for Visualization
Zhirong Yang, Jaakko Peltonen, Samuel Kaski
2013
30th International Conference on Machine Learning, Atlanta, GA, June 16-21, 2013
Data-Driven Information Retrieval in Heterogeneous Collections of Transcriptomics Data Links SIM2s to Malignant Pleural Mesothelioma
José Caldas, Nils Gehlenborg, Eeva Kettunen, Ali Faisal, Mikko Rönty, Andrew G. Nicholson, Sakari Knuutila, Alvis Brazma, Samuel Kaski
2012
Bioinformatics
The rocky road to personalized medicine: computational and statistical challenges
Jukka Corander, Tero Aittokallio, Samuli Ripatti, Samuel Kaski
2012
PERSONALIZED MEDICINE
Sparse Nonparametric Topic Model for Transfer Learning
Ali Faisal, Leo Gillberg, Jaakko Peltonen, Gayle Leen, Samuel Kaski
2012
ESANN 20th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning ESANN, Bruges, Belgium, April 25-27, 2012
Targeted Retrieval of Gene Expression Measurements Using Regulatory Models
Elisabeth Georgii, Jarkko Salojärvi, Mikael Brosché, Jaakko Kangasjärvi, Samuel Kaski
2012
Bioinformatics
Learning Relevance from Natural Eye Movements in Pervasive Interfaces
Melih Kandemir, Samuel Kaski
2012
14th ACM International Conference on Multimodal Interaction, Santa Monica, CA, USA, Octover 22-26, 2012
Unsupervised inference of auditory attention from biosensors
Melih Kandemir, Arto Klami, Akos Vetek, Samuel Kaski
2012
ECML PKDD European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2012) ECML PKDD, Bristol, UK, September 24-28, 2012
Comprehensive data-driven analysis of the impact of chemoinformatic structure on the genome-wide biological response profiles of cancer cells to 1159 drugs
Suleiman A. Khan, Ali Faisal, John Patrick Mpindi, Juuso A. Parkkinen, Tuomo Kalliokoski, Antti Poso, Olli P. Kallioniemi, Krister Wennerberg, Samuel Kaski
2012
BMC Bioinformatics
Focused multi-task learning in a Gaussian process framework
Gayle Leen, Jaakko Peltonen, Samuel Kaski
2012
Machine Learning
Neurocomputing, Special Issue on Machine Learning for Signal Processing 2010, 80:1-128
Jaakko Peltonen, Tapani Raiko, Samuel Kaski
2012
Bayesian Group Factor Analysis
Seppo Virtanen, Arto Klami, Suleiman A. Khan, Samuel Kaski
2012
AISTAT AISTATS Fifteenth International Conference on Artificial Intelligence and Statistics (AISTAT 2012) AISTATS AISTAT, La Palma, Canary Islands, April 21-23, 2012
An Augmented Reality Interface to Contextual Information
Antti Ajanki, Mark Billinghurst, Hannes Gamper, Toni Järvenpää, Melih Kandemir, Samuel Kaski, Markus Koskela, Mikko Kurimo, Jorma Laaksonen, Kai Puolamäki, Teemu Ruokolainen, Timo Tossavainen
2011
VIRTUAL REALITY
Probabilistic proactive timeline browser
Antti Ajanki, Samuel Kaski
2011
ICANN The 21st International Conference on Artificial Neural Networks (ICANN) ICANN, Part II
Hierarchical generative biclustering for MicroRNA Expression Analysis
José Caldas, Samuel Kaski
2011
JOURNAL OF COMPUTATIONAL BIOLOGY
Multitask Learning Using Regularized Multiple Kernel Learning
Mehmet Gönen, Melih Kandemir, Samuel Kaski
2011
18th International Conference on Neural Information Processing (ICONIP)
Artificial Neural Networks and Machine Learning Research - ICANN 2011, Part I
Timo Honkela, Wodzisaw Duch, Mark Girolami, Samuel Kaski
2011
Artificial Neural Networks and Machine Learning Research - ICANN 2011, Part II
Timo Honkela, Wodzisaw Duch, Mark Girolami, Samuel Kaski
2011
Dimensionality Reduction for Data Visualization
Samuel Kaski, Jaakko Peltonen
2011
IEEE Signal Processing Magazine
Probabilistic analysis of probe reliability in differential gene expression studies with short oligonucleotide arrays
Leo Lahti, Laura L. Elo, Tero Aittokallio, Samuel Kaski
2011
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS
Focused Multi-task Learning Using Gaussian Processes
Gayle Leen, Jaakko Peltonen, Samuel Kaski
2011
ECML PKDD Machine Learning and Knowledge Discovery in Databases
Systematic Use of Computational Methods Allows Stratifying Treatment Responders in Glioblastoma Multiforme
Riku Louhimo, Viljami Aittomäki, Ali Faisal, Marko Laakso, Ping Chen, Kristian Ovaska, Erkka Valo, Leo Lahti, Vladimir Rogojin, Samuel Kaski, Sampsa Hautaniemi
2011
CAMDA 2011 conference, Critical Assessment of Massive Data Analysis
Generative Modeling for Maximizing Precision and Recall in Information Visualization
Jaakko Peltonen, Samuel Kaski
2011
AISTAT AISTATS The Fourteenth International Conference on Artificial Intelligence and Statistics (AISTAT) AISTAT AISTATS
Cross-species translation of multi-way biomarkers
Tommi Suvitaival, Ilkka Huopaniemi, Matej Oresic, Samuel Kaski
2011
ICANN The 21st International Conference on Artificial Neural Networks (ICANN) ICANN, Part I
Metabolic regulation in progression to autoimmune diabetes
Marko Sysi-Aho, Andrey Ermolov, Peddinti V. Gopalacharyulu, Abhishek Tripathi, Tuulikki Seppänen-Laakso, Johanna Maukonen, Ismo Mattila, Suvi T. Ruohonen, Laura Vähätalo, Laxman Yetukuri, Taina Härkönen, Erno Lindfors, Janne Nikkilä, Jorma Ilonen, Olli Simell, Maria Saarela, Mikael Knip, Samuel Kaski, Eriika Savontaus, Matej Oresic
2011
PLoS computational biology
Matching samples of multiple views
Abhishek Tripathi, Arto Klami, Matej Oresic, Samuel Kaski
2011
Data Mining and Knowledge Discovery
Bayesian CCA via Group Sparsity
Seppo Virtanen, Arto Klami, Samuel Kaski
2011
ICML The 28th International Conference on Machine Learning (ICML-11) ICML
Introduction to the special issue on mining and learning with graphs
S. V N Vishwanathan, Samuel Kaski, Jennifer Neville, Stefan Wrobel
2011
Machine Learning
Machine Learning, Special Issue on Learning and Mining with Graphs, 82(2)
S.V.N. Vishwanathan, Samuel Kaski, Jennifer Neville, Stefan Wrobel
2011
High Density Lipoprotein structural changes and drug response in lipidomic profiles following the long-term fenofibrate therapy in the FIELD substudy
Laxman Yetukuri, Ilkka Huopaniemi, Artturi Koivuniemi, Marianna Maranghi, Anne Hiukka, Heli Nygren, Samuel Kaski, Marja-Riitta Taskinen, Ilpo Vattulainen, Matti Jauhiainen, Matej Oresic
2011
PloS one
Contextual Information Access with Augmented Reality
Antti Ajanki, Mark Billinghurst, Toni Järvenpää, Melih Kandemir, Samuel Kaski, Markus Koskela, Mikko Kurimo, Jorma Laaksonen, Kai Puolamäki, Teemu Ruokolainen, Timo Tossavainen
2010
MLSP 2010, IEEE International Workshop on Machine Learning for Signal Processing (MLSP)
Ubiquitous Contextual Information Access with Proactive Retrieval and Augmentation
Antti Ajanki, Mark Billinghurst, Melih Kandemir, Samuel Kaski, Markus Koskela, Mikko Kurimo, Jorma Laaksonen, Kai Puolamäki, Timo Tossavainen
2010
The fourth International Workshop on Ubiquitous Virtual Reality (IWUVR2010)
Pinview: Implicit Feedback in Content-Based Image Retrieval
Peter Auer, Zakria Hussain, Samuel Kaski, Arto Klami, Jussi Kujala, Jorma Laaksonen, Alex P. Leung, Kitsuchart Pasupa, John Shawe-Taylor
2010
ICML Workshop on Reinforcement Learning and Search in Very Large Spaces
Pinview: Implicit Feedback in Content-Based Image Retrieval
Peter Auer, Zakria Hussain, Samuel Kaski, Arto Klami, Jussi Kujala, Jorma Laaksonen, Alex P. Leung, Kitsuchart Pasupa, John Shawe-Taylor
2010
Workshop on Applications of Pattern Analysis
Hierarchical generative biclustering for microRNA expression analysis
José Caldas, Samuel Kaski
2010
Research in Computational Molecular Biology, 14th Annual International Conference RECOMB 2010, Lisbon, Portugal, April 25-28
Graphical Multi-Way Models
Ilkka Huopaniemi, Tommi Suvitaival, Matej Oresic, Samuel Kaski
2010
Machine Learning and Knowledge Discovery in Databases. European Conference, ECML PKDD 2010, Barcelona, Spain, September 20-24, 2010
Multivariate multi-way analysis of multi-source data
Ilkka Huopaniemi, Tommi Suvitaival, Janne Nikkilä, Matej Oresic, Samuel Kaski
2010
Bioinformatics
Inferring Object Relevance from Gaze in Dynamic Scenes
Melih Kandemir, Veli-Matti Saarinen, Samuel Kaski
2010
ETRA 2010, ACM Symposium on Eye Tracking Research & Applications, Austin, TX, USA, March 22-24 (ETRA)
Proceedings of the 2010 IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2010)
Samuel Kaski, David J. Miller, Erkki Oja, Antti Honkela
2010
Three Paths to Relevance
Samuel Kaski
2010
Brain-Inspired Information Technology
Bayesian exponential family projections for coupled data sources
Arto Klami, Seppo Virtanen, Samuel Kaski
2010
The Twenty-Sixth Conference on Uncertainty in Artificial Intelligence (2010)
Global modeling of transcriptional responses in interaction networks
Leo Lahti, Juha E.A. Knuuttila, Samuel Kaski
2010
Bioinformatics
Graph Visualization With Latent Variable Models
Juuso Parkkinen, Kristian Nybo, Jaakko Peltonen, Samuel Kaski
2010
MLG-2010, the Eighth Workshop on Mining and Learning with Graphs
Searching for functional gene modules with interaction component models
Juuso Parkkinen, Samuel Kaski
2010
BMC Systems Biology
An information retrieval perspective on visualization of gene expression data with ontological annotation
Jaakko Peltonen, Helena Aidos, Nils Gehlenborg, Alvis Brazma, Samuel Kaski
2010
ICASSP 2010, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Generative Modeling for Maximizing Precision and Recall in Information Visualization
Jaakko Peltonen, Samuel Kaski
2010
Relevant subtask learning by constrained mixture models
Jaakko Peltonen, Yusuf Yaslan, Samuel Kaski
2010
Intelligent Data Analysis
Infinite factorization of multiple non-parametric views
Simon Rogers, Arto Klami, Janne Sinkkonen, Mark Girolami, Samuel Kaski
2010
Machine Learning
Information retrieval perspective to nonlinear dimensionality reduction for data visualization
Jarkko Venna, Jaakko Peltonen, Kristian Nybo, Helena Aidos, Samuel Kaski
2010
Journal of Machine Learning Research
Variational Bayesian mixture of robust CCA models
Jaakko Viinikanoja, Arto Klami, Samuel Kaski
2010
Machine Learning and Knowledge Discovery in Databases. European Conference, ECML PKDD 2010, Barcelona, Spain, September 20-24, 2010
Can Eyes Reveal Interest? Implicit Queries from Gaze Patterns
Antti Ajanki, David R. Hardoon, Samuel Kaski, Kai Puolamäki, John Shawe-Taylor
2009
User Modeling and User-Adapted Interaction: The Journal of Personalization Research
Ubiquitous Contextual Information Access with Proactive Retrieval and Augmentation
Antti Ajanki, Mark Billinghurst, Melih Kandemir, Samuel Kaski, Markus Koskela, Mikko Kurimo, Jorma Laaksonen, Kai Puolamäki, Timo Tossavainen
2009
Evolutionary Conservation of Orthoretroviral Long Terminal Repeats (LTRs) and ab initio Detection of Single LTRs in Genomic Data
Farid Benachenhou, Patric Jern, Merja Oja, Göran Sperber, Vidar Blikstad, Panu Somervuo, Samuel Kaski, Jonas Blomberg
2009
PloS one
Probabilistic retrieval and visualization of biologically relevant microarray experiments
José Caldas, Nils Gehlenborg, Ali Faisal, Alvis Brazma, Samuel Kaski
2009
Bioinformatics
Multi-Way, Multi-View Learning
Ilkka Huopaniemi, Tommi Suvitaival, Janne Nikkilä, Matej Oresic, Samuel Kaski
2009
NIPS 2009 workshop on Learning from Multiple Sources with Applications to Robotics
Two-Way Analysis of High-Dimensional Collinear Data
Ilkka Huopaniemi, Tommi Suvitaival, Janne Nikkilä, Matej Oresic, Samuel Kaski
2009
Data Mining and Knowledge Discovery
GaZIR: Gaze-based Zooming Interface for Image Retrieval
László Kozma, Arto Klami, Samuel Kaski
2009
Proc. ICMI-MLMI 2009, The Eleventh International Conference on Multimodal Interfaces and The Sixth Workshop on Machine Learning for Multimodal Interaction
Dependency detection with similarity constraints
Leo Lahti, Samuel Myllykangas, Sakari Knuutila, Samuel Kaski
2009
Proc. MLSP 2009, IEEE International Workshop on Machine Learning for Signal Processing
Automatic Choice of Control Measurements
Gayle Leen, David R. Hardoon, Samuel Kaski
2009
Advances in Machine Learning (Proc. ACML'09, The 1st Asian Conference on Machine Learning)
Graph Visualization With Latent Variable Models
Kristian Nybo, Juuso Parkkinen, Samuel Kaski
2009
A Block Model Suitable for Sparse Graphs
Juuso Parkkinen, Janne Sinkkonen, Adam Gyenge, Samuel Kaski
2009
Learning to Rank Images from Eye movements
Kitsuchart Pasupa, Craig Saunders, Sandor Szedmak, Arto Klami, Samuel Kaski, Steve Gunn
2009
IEEE International Workshop on Human-Computer Interaction (HCI2009), October 4, 2009, Kyoto, Japan
Supervised Nonlinear Dimensionality Reduction by Neighbor Retrieval
Jaakko Peltonen, Helena Aidos, Samuel Kaski
2009
ICASSP 2009, the IEEE International Conference on Acoustics, Speech, and Signal Processing
Visualizations for Assessing Convergence and Mixing of Markov Chain Monte Carlo Simulations
Jaakko Peltonen, Jarkko Venna, Samuel Kaski
2009
Computational Statistics and Data Analysis
Bayesian Solutions to the Label Switching Problem
Kai Puolamäki, Samuel Kaski
2009
Advances in Intelligent Data Analysis VIII, Proceedings of the 8th International Symposium on Intelligent Data Analysis, IDA 2009
Fast Dependent Components for fMRI Analysis
Eerika Savia, Arto Klami, Samuel Kaski
2009
ICASSP 09, the International Conference on Acoustics, Speech, and Signal Processing
Latent Grouping Models for User Preference Prediction
Eerika Savia, Kai Puolamäki, Samuel Kaski
2009
Machine Learning
On Two-Way Grouping by One-Way Topic Models
Eerika Savia, Kai Puolamäki, Samuel Kaski
2009
Two-Way Grouping by One-Way Topic Models
Eerika Savia, Kai Puolamäki, Samuel Kaski
2009
IDA 2009, The 8th International Symposium on Intelligent Data Analysis, Advances in Intelligent Data Analysis VIII
Combined use of expression and CGH arrays pinpoints novel candidate genes in Ewing sarcoma family of tumors
Suvi Savola, Arto Klami, Abhishek Tripathi, Tarja Niini, Massimo Serra, Piero Picci, Samuel Kaski, Diana Zambelli, Katia Scotlandi, Sakari Knuutila
2009
BMC Cancer
Using Dependencies to Pair Samples for Multi-View Learning
Abhishek Tripathi, Arto Klami, Samuel Kaski
2009
ICASSP 09, the International Conference on Acoustics, Speech, and Signal Processing
An Analysis of Generalization Error in Relevant Subtask Learning
Keisuke Yamazaki, Samuel Kaski
2009
Advances in Neuro-Information Processing, 15th International Conference, ICONIP 2008
Dependencies between stimuli and spatially independent fMRI sources: Towards brain correlates of natural stimuli
Jarkko Ylipaavalniemi, Eerika Savia, Sanna Malinen, Riitta Hari, Ricardo Vigário, Samuel Kaski
2009
NeuroImage
Bayesian Biclustering with the Plaid Model
José Caldas, Samuel Kaski
2008
The IEEE International Workshop on Machine Learning for Signal Processing XVIII
Can relevance of images be inferred from eye movements?
Arto Klami, Craig Saunders, Teófilo de Campos, Samuel Kaski
2008
MIR '08: Proceeding of the 1st ACM International Conference on Multimedia Information Retrieval
Probabilistic approach to detecting dependencies between data sets
Arto Klami, Samuel Kaski
2008
Neurocomputing
Gender dependent progression of systemic metabolic states in early childhood
Janne Nikkilä, Marko Sysi-Aho, Andrey Ermolov, Tuulikki Seppänen-Laakso, Olli Simell, Samuel Kaski, Matej Oresic
2008
MOLECULAR SYSTEMS BIOLOGY
Variational Bayes Learning from Relevant Tasks Only
Jaakko Peltonen, Yusuf Yaslan, Samuel Kaski
2008
Learning from Multiple Sources Workshop, 13 December 2008, Whistler Canada
Bayesian Solutions to the Label Switching Problem
Kai Puolamäki, Samuel Kaski
2008
Learning to learn implicit queries from gaze patterns
Kai Puolamäki, Antti Ajanki, Samuel Kaski
2008
ICML 2008, Twenty-Fifth International Conference on Machine Learning
Macadamia: Master's Programme in Machine Learning and Data Mining
Tapani Raiko, Kai Puolamäki, Juha Karhunen, Jaakko Hollmén, Antti Honkela, Samuel Kaski, Heikki Mannila, Erkki Oja, Olli Simula
2008
Teaching Machine Learning - Workshop on Open Problems and New Directions
Two-level infinite mixture for multi-domain data
Simon Rogers, Janne Sinkkonen, Arto Klami, Mark Girolami, Samuel Kaski
2008
Learning from Multiple Sources Workshop, 13 December 2008, Whistler Canada
A simple infinite topic mixture for rich graphs and relational data
Janne Sinkkonen, Juuso Parkkinen, Janne Aukia, Samuel Kaski
2008
NIPS 2008 Workshop on Analyzing Graphs: Theory and Applications
Infinite mixtures for multi-relational categorical data
Janne Sinkkonen, Janne Aukia, Samuel Kaski
2008
6th International Workshop on Mining and Learning with Graphs (MLG 2008)
Simple integrative preprocessing preserves what is shared in data sources
Abhishek Tripathi, Arto Klami, Samuel Kaski
2008
BMC Bioinformatics
Using Dependencies to Pair Samples for Multi-View Learning
Abhishek Tripathi, Arto Klami, Samuel Kaski
2008
On asymmetric generalization error of asymmetric multitask learning
Keisuke Yamazaki, Samuel Kaski
2008
Learning from Multiple Sources Workshop, 13 December 2008, Whistler Canada
Discovering condition-dependent Bayesian networks for gene regulation
Antti Ajanki, Janne Nikkilä, Samuel Kaski
2007
Fifth IEEE International Workshop on Genomic Signal Processing and Statistics, Tuusula, Finland, 2007
Information Retrieval by Inferring Implicit Queries from Eye Movements
David R. Hardoon, John Shawe-Taylor, Antti Ajanki, Kai Puolamäki, Samuel Kaski
2007
Eleventh International Conference on Artificial Intelligence and Statistics, San Juan, Puerto Rico, 2007
Learning from relevant tasks only
Samuel Kaski, Jaakko Peltonen
2007
18th European Conference on Machine Learning, ECML 2007, Warsaw, Poland, September 17-21, 2007
Probabilistic modeling and machine learning in structural and systems biology
Samuel Kaski, Juho Rousu, Esko Ukkonen
2007
BMC Bioinformatics
Local Dependent Components
Arto Klami, Samuel Kaski
2007
24th International Conference on Machine Learning, Corwallis, Oregon, USA, June 20-24, 2007
The self-organizing map as a visual neighbor retrieval method
Kristian Nybo, Jarkko Venna, Samuel Kaski
2007
6th International Workshop on Self-Organizing Maps, Bielefeld, Germany, 2007
Gene expression profiles in asbestos-exposed epithelial and mesothelial lung cell lines
Penny Nymark, Pamela M. Lindholm, Mikko V. Korpela, Leo Lahti, Salla Ruosaari, Samuel Kaski, Jaakko Hollmen, Sisko Anttila, Vuokko L. Kinnula, Sakari Knuutila
2007
BMC Genomics
Methods for estimating human endogenous retrovirus activities from EST databases
Merja Oja, Jaakko Peltonen, Jonas Blomberg, Samuel Kaski
2007
BMC Bioinformatics
Fast Semi-Supervised Discriminative Component Analysis
Jaakko Peltonen, Jacob Goldberger, Samuel Kaski
2007
2007 IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2007), Thessaloniki, Greece, August 27-29, 2007
Inferring vertex properties from topology in large networks
Janne Sinkkonen, Janne Aukia, Samuel Kaski
2007
5th International Workshop on Mining and Learning with Graphs, MLG'07, Firenze, Italy, Aug 1-3, 2007
Comparison of visualization methods for an atlas of gene expression data sets
Jarkko Venna, Samuel Kaski
2007
Information Visualization
Nonlinear dimensionality reduction as information retrieval
Jarkko Venna, Samuel Kaski
2007
11th International Conference on International Conference on Artificial Intelligence and Statistics, AISTATS 2007, San Juan, Puerto Rico, March 19-22, 2007
Functional Elements and Networks in fMRI
J. Ylipaavalniemi, E. Savia, R. Vigário, S. Kaski
2007
15th European Symposium on Artificial Neural Networks (ESANN 2007)
Implicit feedback from eye movements for proactive information retrieval
Samuel Kaski
2006
NIPS 2006 Workshop on User Adaptive Systems, Whistler, Canada, December 8, 2006
Ydintehtävät kunniaan
Samuel Kaski
2006
Polysteekki
Generative models that discover dependencies between data sets
Arto Klami, Samuel Kaski
2006
2006 IEEE International Workshop on Machine Learning for Signal Processing, Maynooth, Ireland, Sept. 6-8, 2006
Generative Models That Discover Dependencies between Data Sets
Arto Klami, Samuel Kaski
2006
Asbestos-associated malignancies in the lung and pleura show distinct genetic aberrations
Pamela Lindholm, Penny Nymark, Harriet Wikman, K. Salmenkivi, A. Nicholson, Mikko Korpela, S. Kaski, Salla Ruosaari, J. Hollmen, E. Vanhala, A. Karjalainen, S. Anttila, V. Kinnula, S. Knuutila
2006
LUNG CANCER
Exploring the independence of gene regulatory modules
Janne Nikkilä, Antti Honkela, Samuel Kaski
2006
Probabilistic Modeling and Machine Learning in Structural and Systems Biology (PMSB 2006),Tuusula, Finland, 17-18 June 2006
Estimation of human endogenous retrovirus activities from expressed sequence databases
Merja Oja, Jaakko Peltonen, Samuel Kaski
2006
Probabilistic Modeling and Machine Learning in Structural and Systems Biology (PMSB 2006), Tuusula, Finland, June 17-18, 2006
Fast Discriminative Component Analysis for Comparing Examples
Jaakko Peltonen, Jacob Goldberger, Samuel Kaski
2006
NIPS 2006 workshop on Learning to Compare Examples, Whistler, Canada, December 8, 2006
Learning when only some of the training data are from the same distribution as test data
Jaakko Peltonen, Samuel Kaski
2006
Discriminative MCMC
Kai Puolamäki, Jarkko Salojärvi, Eerika Savia, Samuel Kaski
2006
Proceedings of the NIPS 2005 Workshop on Machine Learning for Implicit Feedback and User Modeling
Kai Puolamäki, Samuel Kaski
2006
Probabilistic Modeling and Machine Learning in Structural and Systems Biology
Juho Rousu, Samuel Kaski, Esko Ukkonen
2006
Neural Networks and Machine Learning in Bioinformatics - Theory and Applications
Udo Seiffert, Barbara Hammer, Samuel Kaski, Thomas Villmann
2006
ESANN'06, 14th European Symposium on Artificial Neural Networks, Bruges, Belgium, 2006
Local Multidimensional Scaling
Jarkko Venna, Samuel Kaski
2006
Neural Networks
Nonlinear Dimensionality Reduction as Information Retrieval
Jarkko Venna, Samuel Kaski
2006
Visualizing Gene Interaction Graphs with Local Multidimensional Scaling
Jarkko Venna, Samuel Kaski
2006
14th European Symposium on Artificial Neural Networks (ESANN'2006), Bruges, Belgium, April 26-28, 2006
Functional Elements and Networks in fMRI
Jarkko Ylipaavalniemi, Eerika Savia, Ricardo Vigário, Samuel Kaski
2006
Proceedings of KRBIO05, Symposium on Knowledge Representation in Bioinformatics, Espoo, Finland, June 15-17, 2005
C. Bounsaythip, J. Hollmén, S. Kaski, M. Oresic
2005
Associative Clustering for Exploring Dependencies between Functional Genomics Data Sets
S. Kaski, J. Nikkilä, J. Sinkkonen, L. Lahti, J. Knuuttila, C. Roos
2005
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS
Discriminative Clustering
S. Kaski, J. Sinkkonen, A. Klami
2005
Neurocomputing
Discriminative Clustering of Yeast Stress Response
S. Kaski, J. Nikkilä, E. Savia, C. Roos
2005
Bioinformatics using Computational Intelligence Paradigms
From Learning Metrics Towards Dependency Exploration
S. Kaski
2005
5th Workshop On Self-Organizing Maps, WSOM'05, Paris, France, September 5-8, 2005
Proactive Information Retrieval by Monitoring Eye Movements
S. Kaski
2005
Abstracts of BrainIT, The Second International Conference on Brain-Inspired Information Technology, Kyushu Institute of Technology, Kitakuyshu, Japan, October 7-9, 2005
User models from implicit feedback for proactive information retrieval
S. Kaski, P. Myllymäki, Ilpo Kojo
2005
Proceedings of Workshop 4 of the 10th International Conference on User Modeling; Machine Learning for User Modeling: Challenges, Edinburgh, Scotland, July 24-25, 2005
User models from implicit feedback for proactive information retrieval
Samuel Kaski, Petri Myllymäki, Ilpo Kojo
2005
Non-Parametric Dependent Components
A. Klami, S. Kaski
2005
IEEE International Conference on Acoustis, Speech, and Signal Processing, ICASSP'05, Philadelphia, PA, USA, March 18-23, 2005
Explorative Modeling of Yeast Stress Response and its Regulation with gCCA and Associative Clustering
J. Nikkilä, C. Roos, E. Savia, S. Kaski
2005
International Journal of Neural Systems
Integration of Transcription Factor Binding and Gene Expression by Associative Custering
J. Nikkilä, C. Roos, S. Kaski
2005
Symposium of Knowledge Representation in Bioinformatics, KRBIO05, Espoo, Finland, June 15-17, 2005
Self-Organizing Map-Based Discovery and Visualization of Human Endogeneous Retroviral Sequence Groups
Merja Oja, G.O. Sperber, Jonas Blomberg, S. Kaski
2005
International Journal of Neural Systems
Discriminative Components of Data
J. Peltonen, S. Kaski
2005
IEEE Transactions on Neural Networks
Combining Eye Movements and Collaborative Filtering for Proactive Information Retrieval
K. Puolamäki, J. Salojärvi, Eerika Savia, Jaana Simola, S. Kaski
2005
SIGIR 2005: Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Salvador, Brasil, August 15-19, 2005
Expectation Maximization Algorithms for Conditional Likelihoods
J. Salojärvi, K. Puolamäki, S. Kaski
2005
22nd International Conference on Machine Learning (ICML 2005), Bonn, Germany, August 7-11, 2005
Expectation Maximization Algorithms for Conditional Likelihoods
J. Salojärvi, K. Puolamäki, S. Kaski
2005
Implicit Relevance Feedback From Eye Movements
J. Salojärvi, K. Puolamäki, S. Kaski
2005
Artificial Neural Networks: Biological Inspirations - ICANN 2005: 15th International Conference, Warsaw, Poland, 11-15 September, 2005, Lecture Notes in Computer Science 3696
Inferring Relevance from Eye Movements: Feature Extraction
Jarkko Salojärvi, Kai Puolamäki, Jaana Simola, L. Kovanen, Ilpo Kojo, Samuel Kaski
2005
On Discriminative Joint Density Modeling
J. Salojärvi, K. Puolamäki, S. Kaski
2005
Machine Learning: ECML 2005, Lecture Notes in Artificial Intelligence 3270, European Conference on Machine Learning, Porto, Portugal, October 3-7, 2005
Two-Way Latent Grouping Model for User Preference Prediction
E. Savia, K. Puolamäki, J. Sinkkonen, S. Kaski
2005
21st Conference on Uncertainty in Artificial Intelligence (UAI) 2005, Edinburgh, Scotland, July 26-29, 2005
Associative Clustering (AC): Technical Details
Janne Sinkkonen, S. Kaski, L. Nikkilä, L. Lahti
2005
Local Multidimensional Scaling with Controlled Tradeoff Between Trustworthiness and Continuity
J. Venna, S. Kaski
2005
WSOM'05, Paris, France September 5-8, 2005
Visualized Atlas of a Gene Expression Databank
J. Venna, S. Kaski
2005
Symposium of Knowledge Representation in Bioinformatics, KRBIO05, Espoo, Finland, June 15-17, 2005
Principle of Learning Metrics for Data Analysis
S. Kaski, J. Sinkkonen
2004
Journal of VLSI Signal Processing Systems for Signal, Image, and Video Technology
Mining Massive Document Collections by the WEBSOM Method
K. Lagus, S. Kaski, T. Kohonen
2004
Information Sciences
Exploring Dependencies Between Yeast Stress Genes and their Regulators
J. Nikkilä, C. Roos, S. Kaski
2004
International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2004), Exeter, UK, August 25-27, 2004
Grouping and Visualizing Human Endogenous Retroviruses by Bootstrapping Median Self-organizing Maps
Merja Oja, G. Sperber, Jonas Blomberg, S. Kaski
2004
IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, San Diego, California, USA, October 7-8, 2004
Improved Learning of Riemannian Metrics for Exploratory Data Analysis
J. Peltonen, A. Klami, S. Kaski
2004
Neural Networks
Sequential Information Bottleneck for Finite Data
J. Peltonen, J. Sinkkonen, S. Kaski
2004
Twenty-First International Conference on Machine Learning (ICML 2004), Banff, Alberta, Canada, July 4-8, 2004
Two-Way Latent Grouping Model for User Preference Prediction
K. Puolamäki, E. Savia, J. Sinkkonen, S. Kaski
2004
Relevance Feedback from Eye Movements for Proactive Information Retrieval
J. Salojärvi, K. Puolamäki, S. Kaski
2004
Workshop on Processing Sensory Information for Proactive Systems (PSIPS 2004), Oulu, Finland, June 14-15, 2004
On Text-Based Estimation of Document Relevance
E. Savia, S. Kaski, V. Tuulos, P. Myllymäki
2004
International Joint Conference on Neural Networks 2004, Budapest, Hungary, July 25-29, 2004
Associative Clustering
J. Sinkkonen, J. Nikkilä, L. Lahti, S. Kaski
2004
15th European Conference on Machine Learning (ECML 2004), Pisa, Italy, Sept. 20-24, 2004
Discriminative Clustering
Samuel Kaski
2003
54th Session of the International Statistical Institute, Berlin, Germany, August 13-20, 2003
Discriminative Clustering: Vector Quantization in Learning Metrics
Samuel Kaski, J. Sinkkonen
2003
26th Annual Conference of the Gesellschaft für Klassifikation, Mannheim, Germany, July 22-24, 2002
Informative Discriminant Analysis
Samuel Kaski, J. Peltonen
2003
ICML-2003, the Twentieth International Conference on Machine Learning, Washington, D.C., USA, August 21-24, 2003
Methods for Exploratory Cluster Analysis
Samuel Kaski, J. Nikkilä, T. Kohonen
2003
Intelligent Exploration of the Web
Regularized Discriminative Clustering
Samuel Kaski, J. Sinkkonen, A. Klami
2003
2003 IEEE International Workshop on Neural Networks for Signal Processing, Toulouse, France, September 17-19, 2003
Trustworthiness and Metrics in Visualizing Similarity of Gene Expression
Samuel Kaski, J. Nikkilä, Merja Oja, J. Venna, P. Törrönen, E. Castrén
2003
BMC Bioinformatics
Associative Clustering to Find Dependencies Between Expression Profiles and Transcription Factor Binding
Janne Nikkilä, C. Roos, Janne Sinkkonen, S. Kaski
2003
Bibliography of Self-Organizing Map SOM) Papers: 1998-2001 Addendum
Merja Oja, S. Kaski, T. Kohonen
2003
Neural Computing Surveys
Clustering of Human Endogenous Retrovirus Sequences with Median Self-Organizing Map
Merja Oja, P. Somervuo, S. Kaski, T. Kohonen
2003
Workshop on Self-Organizing Maps (WSOM'03), Hibikino, Japan, September 11-14, 2003
Finite Sequential Information Bottleneck (fsIB)
Jaakko Peltonen, J. Sinkkonen, S. Kaski
2003
Learning Metrics for Information Visualization
Jaakko Peltonen, A. Klami, S. Kaski
2003
Workshop on Self-Organizing Maps (WSOM'03), Hibikino, Kitakyushu, Japan, September 2003
Can Relevance be Inferred from Eye Movements in Information Retrieval?
Jarkko Salojärvi, I. Kojo, J. Simola, S. Kaski
2003
Workshop on Self-Organizing Maps (WSOM'03), Hibikino, Kitakyushu, Japan, September 11-14, 2003
Discriminative Clustering in Fisher Metrics
Jarkko Salojärvi, S. Kaski, J. Sinkkonen
2003
Supplementary Proceedings ICANN/ICONIP 2003, Istanbul, Turkey, June 26-29, 2003
Relevance Feedback from Eye Movements for Proactive Information Retrieval
Jarkko Salojärvi, K. Puolamäki, S. Kaski
2003
Associative Clustering by Maximizing a Bayes Factor
J. Sinkkonen, J. Nikkilä, L. Lahti, S. Kaski
2003
Visualizations for Assessing Convergence and Mixing of MCMC
J. Venna, S. Kaski, J. Peltonen
2003
14th European Conference on Machine Learning (ECML 2003), Cavtat-Dubrovnik, Croatia, Sept. 22-26, 2003
Visualizing High-Dimensional Posterior Distributions in Bayesian Modeling
Jarkko Venna, S. Kaski
2003
Artificial Neural Networks and Neural Information Processing - Supplementary Proceedings ICANN/ICONIP, Istanbul, Turkey, June, 2003
STeP 2002 - Intelligence, the Art of Natural and Artificial.Proceedings of the 10th Finnish Artificial Intelligence Conference, Oulu, Finland, Sept. 15-17
P. Ala-Siuru, Samuel Kaski
2002
Neljännesvuosisata Hatutusta: Hahmontunnistustutkimus Suomessa 1977-2002
Jukka Iivarinen, S. Kaski, E. Oja
2002
Learning Metrics
Samuel Kaski
2002
3rd Conference of the International Society for Ecological Informatics, Grottaferrata, Italy, August 26-30, 2002
Regularized Discriminative Clustering
Samuel Kaski, J. Sinkkonen, A. Klami
2002
Accurate Self-Organizing Maps in Learning Metrics
Arto Klami, J. Peltonen, S. Kaski
2002
Suomen Tekoälytutkimuksen Päivät, STeP -2002, Finnish AI Conference, Oulu, Finland, December 15-17, 2002
Analysis and Visualization of Gene Expression Data Using Self-Organizing Maps
Janne Nikkilä, Petri Törönen, S. Kaski, J. Venna, E. Castrén, Garry Wong
2002
Neural Networks
Exploratory Clustering of Gene Expression Profiles of Mutated Yeast Strains
Merja Oja, J. Nikkilä, P. Törönen, G. Wong, E. Castrén, S. Kaski
2002
Computational and Statistical Approaches to Genomics
Learning Metrics for SOM-Based Clustering and Visualization of Yeast Gene Expression Data
Merja Oja, P. Törönen, J. Nikkilä, E. Castrén, S. Kaski
2002
Bioinformatics 2002, Bergen, Norway, April 4-7, 2002
Learning Metrics for Visualizing Gene Functional Similarities
Merja Oja, J. Nikkilä, P. Törönen, E. Castrén, S. Kaski
2002
Suomen Tekoälytutkimuksen Päivät, STeP -2002, Finnish AI Conference, Oulu, Finland, December 15-17, 2002
Electronic Editor: Automatic Content-based Sequential Compilation of Newspaper Articles
Ville Ollikainen, Christer Bäckström, Samuel Kaski
2002
Neurocomputing
Discriminative Clustering of Text Documents
Janne Peltonen, J. Sinkkonen, S. Kaski
2002
9th International Conference on Neural Information Processing (ICONIP'02), Singapore, November 18-22, 2002
Learning More Accurate Metrics for Self-Organizing Maps
Jaakko Peltonen, A. Klami, S. Kaski
2002
International Conference on Artificial Neural Networks - ICANN 2002, Madrid, Spain, August 27-31, 2002
Mixture Density from Autonomous Experts
Jarkko Salojärvi, Samuel Kaski
2002
International Journal of Knowledge-Based and Intelligent Engineering Systems
Clustering Based on Conditional Distributions in an Auxiliary Space
Janne Sinkkonen, S. Kaski
2002
Neural Computation
Discriminative Clustering: Optimal Contingency Tables by Learning Metrics
Janne Sinkkonen, S. Kaski, J. Nikkilä
2002
13th European Conference on Machine Learning (ECML'02), Helsinki, Finland, August 19-23, 2002
Analysis and Visualization of Gene Expression Data Using Self-Organizing Maps
Samuel Kaski, J. Nikkilä, P. Törrönen, E. Castren, G. Wong
2001
NSIP-01, IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing, Baltimore, Maryland, USA, June 3-6, 2001
A Topography-Preserving Latent Variable Model with Learning Metrics
Samuel Kaski, J. Sinkkonen
2001
Advances in Self-Organizing Maps, Workshop on Self-Organizing Maps (WSOM'01), Lincoln, UK, June 13-15, 2001
Bankruptcy Analysis with Self-Organizing Maps in Learning Metrics
Samuel Kaski, J. Sinkkonen, J. Peltonen
2001
IEEE Transactions on Neural Networks
Clustering Gene Expression Data by Mutual Information with Gene Function
Samuel Kaski, J. Sinkkonen, J. Nikkilä
2001
International Conference on Artificial Neural Networks (ICANN 2001), Vienna, Austria, August 21-25, 2001
Data Visualization and Analysis with Self-Organizing Maps in Learning Metrics
Samuel Kaski, J. Sinkkonen, J. Peltonen
2001
Third International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2001), Munich, Germany, Sept. 5-7, 2001
Generative Mixture Modeling by Autonomous Estimators
Samuel Kaski, J. Salojärvi
2001
5th International Conference Knowledge-Based Intelligent Information Engineering Systems & Allied Technologies (KES'2001), Osaka, Japan, Sept. 6-8, 2001
Learning Metrics for Exploratory Data Analysis
Samuel Kaski
2001
2001 IEEE Signal Processing Society Workshop, Neural Networks for Signal Processing XI, Falmouth, Massach., USA, Sept. 10-12, 2001
Learning Metrics for Self-Organizing Maps
Samuel Kaski, J. Sinkkonen, J. Peltonen
2001
International Joint Conference on Neural Networks (IJCNN'01), Washington, D.C., July 15-19, 2001
SOM-Based Exploratory Analysis of Gene Expression Data
Samuel Kaski
2001
Advances in Self-Organizing Maps, Workshop on Self-Organizing Maps (WSOM'01), Lincoln, UK, June 13-15, 2001
Analysis of Gene Expression Data Using Semi-Supervised Clustering
Janne Nikkilä, P. Törönen, J. Sinkkonen, S. Kaski
2001
Neighborhood Preservation in Nonlinear Projection Methods: An Experimental Study
Jarkko Venna, Samuel Kaski
2001
Coloring that Reveals Cluster Structures in Multivariate Data
Samuel Kaski, J. Venna, T. Kohonen
2000
Australian Journal of Intelligent Information Processing Systems
Convergence of a Stochastic Semisupervised Clustering Algorithm
Samuel Kaski
2000
Kohti uutta luovan ajattelun opettamista
Samuel Kaski
2000
OPE2, Dokumentoitua opetuksen kehittämistä Teknillisessä korkeakoulussa 1999-2000
Methods for Exploratory Cluster Analysis
Samuel Kaski, J. Nikkilä, T. Kohonen
2000
SSGRR 2000, International Conference on Advances in Infrastructure for Electronic Business, Science, and Education on the Internet, L'Aquila, Italy, July 31-August 6, 2000
Metrics That Learn Relevance
Samuel Kaski, J. Sinkkonen
2000
Self Organization of a Massive Document Collection
Teuvo Kohonen, S. Kaski, K. Lagus, Jarkko Salojärvi, Jukka Honkela, Vesa Paatero, Antti Saarela
2000
IEEE Transactions on Neural Networks
Automatic Content-based Sequential Ordering of Newspaper Articles for Electronic Books
Ville Ollikainen, Christer Bäckström, Samuel Kaski
2000
International Conference on Engineering Applications of Neural Networks (EANN 2000), Kingston, UK, July 17-19, 2000
Clustering by Similarity in an Auxiliary Space
Janne Sinkkonen, Samuel Kaski
2000
Second International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2000), Hong Kong, December 13-15, 2000
Semisupervised Clustering Based on Conditional Distributions in an Auxiliary Space
Janne Sinkkonen, S. Kaski
2000
Coloring that Reveals Cluster Structures in Multidimensional Data
Jarkko Venna, S. Kaski
2000
STeP'00, Finnish Artificial Intelligence Conference, 'AI of Tomorrow': Symposium on Theory, Espoo, Finland, August 28-31, 2000
Coloring that Reveals High-Dimensional Structures in Data
S. Kaski, J. Venna, T. Kohonen
1999
6th International Conference on Neural Information Processing (ICONIP'99), Perth, Australia, November 16-20, 1999
Fast Winner Search for SOM-Based Monitoring and Retrieval of High-Dimensional Data
S. Kaski
1999
Ninth International Conference on Artificial Neural Networks (ICANN'99), Edinburgh, U.K., September 7-10, 1999
Metrics Induced by Maximizing Mutual Information
S. Kaski, J. Sinkkonen
1999
Self-Organization of a Massive Text Document Collection
T. Kohonen, S. Kaski, K. Lagus, J. Salojärvi, J. Honkela, V. Paatero, A. Saarela
1999
Kohonen Maps
Keyword Selection Method for Characterizing Text Document Maps
K. Lagus, S. Kaski
1999
WEBSOM for Textual Data Mining
K. Lagus, T. Honkela, S. Kaski, T. Kohonen
1999
Artificial Intelligence Review
Kohonen Maps
E. Oja, S. Kaski
1999
Self-Organizing Maps of Large Document Collections
T. Honkela, K. Lagus, S. Kaski
1998
Visual Explorations in Finance with Self-Organizing Maps
Self-Organizing Maps of Very Large Document Collections: Justification for the WEBSOM Method
T. Honkela, S. Kaski, T. Kohonen, K. Lagus
1998
Classification, Data Analysis, and Data Highways
3043 Works that Have Been Based on the Self-Organizing Map (SOM) Method Developed by Kohonen
Jari Kangas, S. Kaski
1998
Bibliography of Self-Organizing Map (SOM) Papers: 1981-1997
S. Kaski, J. Kangas, T. Kohonen
1998
Neural Computing Surveys
Dimensionality Reduction by Random Mapping: Fast Similarity Computation for Clustering
S. Kaski
1998
International Joint Conference on Neural Networks (IJCNN'98), Anchorage, Alaska, May 4-9, 1998
Methods for Interpreting a Self-Organized Map in Data Analysis
S. Kaski, J. Nikkilä, T. Kohonen
1998
6th European Symposium on Artificial Neural Networks (ESANN'98), Bruges, Belgium
Statistical Aspects of the WEBSOM System in Organizing Document Collections
S. Kaski, K. Lagus, T. Honkela, T. Kohonen
1998
29th Symposium on the Interface, Houston, Texas, May 14-17, 1997
Tips for Processing and Color-Coding of Self-Organizing Maps
S. Kaski, T. Kohonen
1998
Visual Explorations in Finance with Self-Organizing Maps
WEBSOM - Self-Organizing Maps of Document Collections
S. Kaski, T. Honkela, K. Lagus, T. Kohonen
1998
Neurocomputing
WEBSOM - Self-Organizing Maps of Document Collections
T. Honkela, S. Kaski, K. Lagus, T. Kohonen
1997
Workshop on Self-Organizing Maps (WSOM'97), Espoo, Finland, June 4-6, 1997
Computationally Efficient Approximation of a Probabilistic Model for Document Representation in the WEBSOM Full-Text Analysis Method
S. Kaski
1997
Neural Processing Letters
Automatic Coloring of Data According to Its Cluster Structure
Teuvo Kohonen, S. Kaski, J. Venna
1997
Self-Organized Formation of Various Invariant-Feature Filters in the Adaptive-Subspace SOM
T. Kohonen, S. Kaski, H. Lappalainen
1997
Neural Computation
The Adaptive-Subspace Self-Organizing Map (ASSOM)
T. Kohonen, S. Kaski, H. Lappalainen, J. Salojärvi
1997
Workshop on Self-Organizing Maps (WSOM'97), Espoo, Finland, June 4-6, 1997
Topographic Components Model with Adaptive Latencies
J. Sinkkonen, S. Kaski
1997
NeuroImage
Topographic Components Model with Adaptive Latencies
J. Sinkkonen, S. Kaski
1997
Exploration of Full-Text Databases with Self-Organizing Maps
T. Honkela, S. Kaski, K. Lagus, T. Kohonen
1996
IEEE International Conference on Neural Networks (ICNN'96), Washington, D.C., USA, June 2-6, 1996
Newsgroup Exploration with WEBSOM Method and Browsing Interface
T. Honkela, S. Kaski, K. Lagus, T. Kohonen
1996
Self-Organizing Maps of Document Collections
T. Honkela, S. Kaski, K. Lagus, T. Kohonen
1996
Polysteekki, English ed.
Compression of Vector Quantization Code Sequences Based on Code Frequencies and Spatial Redundancies
J. Kangas, S. Kaski
1996
Comparing Self-Organizing Maps
S. Kaski, K. Lagus
1996
Creating an Order in Digital Libraries with Self-Organizing Maps
S. Kaski, T. Honkela, K. Lagus, T. Kohonen
1996
World Congress on Neural Networks (WCNN'96), San Diego, Calif., USA, September 15-18, 1996
Exploratory Data Analysis by the Self-Organizing Map: Structures of Welfare and Poverty in the World
S. Kaski, T. Kohonen
1996
Neural Networks in Financial Engineering
Very Large Two-Level SOM for the Browsing of Newsgroups
T. Kohonen, S. Kaski, K. Lagus, T. Honkela
1996
International Conference on Artificial Neural Networks (ICANN96), Bochum, Germany, July 16-19, 1996
Browsing Digital Libraries with the Aid of Self-Organizing Maps
K. Lagus, S. Kaski, T. Honkela, T. Kohonen
1996
Self-Organizing Maps of Document Collections: A New Approach to Interactive Exploration
K. Lagus, T. Honkela, S. Kaski, T. Kohonen
1996
Second International Conference on Knowledge Discovery and Data Mining (KDD-96), Portland, Oregon, USA, August 2-4, 1996
WEBSOM - A Status Report
K. Lagus, T. Honkela, S. Kaski, T. Kohonen
1996
Finnish Artificial Intelligence Conference, STeP-96, Vaasa, Finland, August 20-23, 1996
Optimal Resource Allocation for Novelty Detection in a Human Auditory Memory
J. Sinkkonen, S. Kaski, M. Huotilainen, R Ilmoniemi, R. Näätänen, K. Kaila
1996
Neuroreport
Self-Organizing Map in Recognition of Topographic Patterns of EEG Spectra
S. Joutsiniemi, S. Kaski, A. Larsen
1995
IEEE Transactions on Biomedical Engineering
Structures of Welfare and Poverty in the World Discovered by the Self-Organizing Map
S. Kaski, T. Kohonen
1995
Visualizing the Clusters on the Self-Organizing Map
J. Iivarinen, T. Kohonen, J. Kangas, S. Kaski
1994
Conference on Artificial Intelligence Research in Finland, , STeP-94, Turku, Finland, August 29-31, 1994
Winner-Take-All Networks for Physiological Models of Competitive Learning
S. Kaski, T. Kohonen
1994
Neural Networks
Monitoring EEG Signal with the Self-Organizing Map
S. Kaski, S. Joutsiniemi
1993
Analysis of magnetoencephalographic data with self-organizing maps
K. Portin, R. Salmelin, S. Kaski
1993