Ihmiset

Hiroshi Mamitsuka

Visitor
Visitor
T313 Dept. Computer Science
Full researcher profile
https://research.aalto.fi/...
Sähköposti
ext-hiroshi.mamitsuka@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 Computer and information sciences, Computational data analysis

Palkinnot

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

Tutkimusryhmät

  • Probabilistic Machine Learning, Visiting Professor
  • Professorship Kaski Samuel, Visiting Professor
  • Helsinki Institute for Information Technology (HIIT), Visiting Professor
  • Professorship Kaski Samuel, Visitor (Faculty)
  • Probabilistic Machine Learning, Visitor (Faculty)
  • Helsinki Institute for Information Technology (HIIT), Visitor (Faculty)

Julkaisut

Machine learning for predicting drug–drug interactions : Graph neural networks and beyond

Peter Petschner, Anh Duc Nguyen, Canh Hao Nguyen, Hiroshi Mamitsuka 2025 Current Opinion in Systems Biology

Central-Smoothing Hypergraph Neural Networks for Predicting Drug-Drug Interactions

Duc Anh Nguyen, Canh Hao Nguyen, Hiroshi Mamitsuka 2024 IEEE Transactions on Neural Networks and Learning Systems

GORetriever : Reranking protein-description-based GO candidates by literature-driven deep information retrieval for protein function annotation

Huiying Yan, Shaojun Wang, Hancheng Liu, Hiroshi Mamitsuka, Shanfeng Zhu 2024 Bioinformatics

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

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

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

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