Hiroshi Mamitsuka

Visitor
Visitor
T313 Dept. Computer Science
Full researcher profile
https://research.aalto.fi/...

Contact information

Phone number
+358504301880

Areas of expertise

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 Computer and information sciences, Computational data analysis

Honors and awards

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/>
Award or honor granted for a specific work Professorship Kaski Samuel Dec 2018

Recipient of 'Certificate of Appreciation', Service Award, IEEE Computer Society

Award or honor granted for academic or artistic career Professorship Kaski Samuel Jan 2009

IEEE Kansai Section Medal recipient

Award or honor granted for academic or artistic career Professorship Kaski Samuel Feb 2014

Publications

Machine-learning based drug-drug interaction prediction identifies acetylsalicylic acid as risk for cardiovascular events during migraine treatment

Kinga Gecse, Duc Anh Nguyen, Gabriella Juhasz, Hiroshi Mamitsuka, Peter Petschner 2023 Cephalalgia

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

DeepMHCI : an anchor position-aware deep interaction model for accurate MHC-I peptide binding affinity prediction

Wei Qu, Ronghui You, Hiroshi Mamitsuka, Shanfeng Zhu 2023 Bioinformatics (Oxford, England)

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