Hiroshi Mamitsuka
Visitor
Visitor
T313 Dept. Computer Science
Full researcher profile
https://research.aalto.fi/...
Osaamisalueet
Semi-supervised learning, Machine learning, Data mining, Tensor factorization, Graph mining, Semi-structured data, Data analysis, Bioinformatics, Systems biology, Precision medicine, Information retrieval, Innovation in manufacturing, Business analytics, 113 Tietojenkäsittely ja informaatiotieteet, Laskennallinen data-analyysi
Palkinnot
IEEE Kansai Section Medal recipient
Palkinto tai huomionosoitus urasta
Professorship Kaski Samuel
Feb 2014
Recipient of 'Certificate of Appreciation', Service Award, IEEE Computer Society
Palkinto tai huomionosoitus urasta
Professorship Kaski Samuel
Jan 2009
Best Student Paper
The award is given to the following paper: Junning Gao, Shuwei Yao, Hiroshi Mamitsuka and Shanfeng Zhu, "AiProAnnotator: Low-rank Approximation with network side information for high-performance, large-scale human Protein abnormality Annotator".<br/><br/>
Palkinto tai huomionosoitus tuotoksesta
Professorship Kaski Samuel
Dec 2018
Tutkimusryhmät
- Probabilistic Machine Learning, Vieraileva professori
- Professorship Kaski Samuel, Vieraileva professori
- Helsinki Institute for Information Technology (HIIT), Vieraileva professori
Julkaisut
Sc2Mol: a scaffold-based two-step molecule generator with variational autoencoder and transformer
Zhirui Liao, Lei Xie, Hiroshi Mamitsuka, Shanfeng Zhu
2023
Bioinformatics (Oxford, England)
Central-Smoothing Hypergraph Neural Networks for Predicting Drug-Drug Interactions
Duc Anh Nguyen, Canh Hao Nguyen, Hiroshi Mamitsuka
2023
IEEE Transactions on Neural Networks and Learning Systems
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
HPODNets: deep graph convolutional networks for predicting human protein–phenotype associations
Lizhi Liu, Hiroshi Mamitsuka, Shanfeng Zhu
2022
Bioinformatics
SPARSE: a sparse hypergraph neural network for learning multiple types of latent combinations to accurately predict drug-drug interactions
Duc Anh Nguyen, Canh Hao Nguyen, Peter Petschner, Hiroshi Mamitsuka
2022
Bioinformatics (Oxford, England)
DeepMHCII: a novel binding core-aware deep interaction model for accurate MHC-II peptide binding affinity prediction
Ronghui You, Wei Qu, Hiroshi Mamitsuka, Shanfeng Zhu
2022
Bioinformatics (Oxford, England)
Machine learning approaches for drug combination therapies
Betul Guvenc, Samuel Kaski, Hiroshi Mamitsuka
2021
BRIEFINGS IN BIOINFORMATICS
Crop loss identification at field parcel scale using satellite remote sensing and machine learning
Santosh Hiremath, Samantha Wittke, Taru Palosuo, Jere Kaivosoja, Fulu Tao, Maximilian Proll, Eetu Puttonen, Pirjo Peltonen-Sainio, Pekka Marttinen, Hiroshi Mamitsuka
2021
PloS one
HPOFiller: identifying missing protein–phenotype associations by graph convolutional network
Lizhi Liu, Hiroshi Mamitsuka, Shanfeng Zhu
2021
Bioinformatics
A survey on adverse drug reaction studies
Duc Anh Nguyen, Canh Hao Nguyen, Hiroshi Mamitsuka
2021
BRIEFINGS IN BIOINFORMATICS