| The Feasibility of Predicting Impending Malignant Ventricular Arrhythmias by using Nonlinear Features of Short Heartbeat Intervals Z Chen, N Ono, W Chen, T Tamura, MD Altaf-Ul-Amin, S Kanaya, ... Computer Methods and Programs in Biomedicine 205, 106102, 2021 | 16 | 2021 |
| An End-to-End Sleep Staging Simulator Based on Mixed Deep Neural Networks Z Chen, Z Yang, D Wang, M Huang, N Ono, M Altaf-Ul-Amin, S Kanaya BIBM 2021, 2021 | 12 | 2021 |
| Multi-Tier Platform for Cognizing Massive Electroencephalogram Z Chen, L Zhu, Z Yang, R Zhang IJCAI 2022, 2022 | 11 | 2022 |
| Learning Vector Quantized Representation for Cancer Subtypes Identification Z Chen, Z Yang, L Zhu, P Gao, T Matsubara, S Kanaya, M Altaf-Ul-Amin Computer Methods and Programs in Biomedicine 236, 107543, 2023 | 8* | 2023 |
| ivae: An improved deep learning structure for eeg signal characterization and reconstruction Z Chen, N Ono, MD Altaf-Ul-Amin, S Kanaya, M Huang BIBM 2020 (BHI Workshop), 2020 | 7 | 2020 |
| Automated Sleep Staging via Parallel Frequency-Cut Attention Z Chen, Z Yang, L Zhu, W Chen, T Tamura, N Ono, MD Altaf-Ul-Amin, ... IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023 | 6* | 2023 |
| Adaptive spike-like representation of eeg signals for sleep stages scoring L Zhu, Z Yang, K Odani, G Shi, Y Kan, Z Chen, R Zhang EMBC 2022, 2022 | 6 | 2022 |
| Automated Cancer Subtyping via Vector Quantization Mutual Information Maximization Z Chen, L Zhu, Z Yang, T Matsubara ECML-PKDD 2022, 2023 | 5 | 2023 |
| Exploring Feasibility of Truth-Involved Automatic Sleep Staging Combined with Transformer Z Yang, D Wang, Z Chen, M Huang, N Ono, M Altaf-Ul-Amin, S Kanaya BIBM 2021, 2021 | 5 | 2021 |
| A Training Pipeline of An Arrhythmia Classifier for Atrial Fibrillation Detection using Photoplethysmography Signal S Kudo, Z Chen, X Zhou, LT Izu, Y Chen-Izu, X Zhu, T Tamura, S Kanaya, ... Frontiers in Physiology 14, 2, 2023 | 4 | 2023 |
| On finding natural antibiotics based on TCM formulae P Gao, AK Nasution, S Yang, Z Chen, N Ono, S Kanaya, MD Altaf-Ul-Amin Methods 214, 35-45, 2023 | 4 | 2023 |
| Hierarchical categorical generative modeling for multi-omics cancer subtyping Z Yang, L Zhu, C Li, Z Chen, N Ono, M Altaf-Ul-Amin, S Kanaya BIBM 2022, 2022 | 3 | 2022 |
| Cancer Subtyping via Embedded Unsupervised Learning on Transcriptomics Data Z Yang, L Zhu, Z Chen, M Huang, N Ono, MD Altaf-Ul-Amin, S Kanaya EMBC 2022, 1113-1116, 2022 | 3 | 2022 |
| Learning Local Representation by Gradient-Isolated Memorizing of Spiking Neural Network M Wu, Z Chen, Y Yao HPCC 2022, 2023 | 1 | 2023 |
| A two-view EEG representation for brain cognition by composite temporal-spatial contrastive learning Z Chen, L Zhu, H Jia, T Matsubara SDM 2023, 2023 | 1 | 2023 |
| Sleep staging framework with physiologically harmonized sub-networks Z Chen, Z Yang, D Wang, X Zhu, N Ono, MD Altaf-Ul-Amin, S Kanaya, ... Methods 209, 18-28, 2023 | 1 | 2023 |
| Enforcing KL Regularization in General Tsallis Entropy Reinforcement Learning via Advantage Learning L Zhu, Z Chen, E Uchibe, T Matsubara arXiv preprint arXiv:2205.07885, 2022 | 1 | 2022 |
| An integrated multi-omics approach for amr phenotype prediction of gut microbiota P Gao, Z Chen, D Wang, M Huang, N Ono, M Altaf-Ul-Amin, S Kanaya BIBM 2021 (BHI Workshop), 2021 | 1 | 2021 |
| Feasibility analysis of symbolic representation for single-channel EEG-based sleep stages Z Chen, P Gao, M Huang, N Ono, MD Altaf-Ul-Amin, S Kanaya EMBC 2021, 2021 | 1 | 2021 |
| MedNAS: Multi-Scale Training-Free Neural Architecture Search for Medical Image Analysis Y Wang, L Zhen, J Zhang, M Li, L Zhang, Z Wang, Y Feng, Y Xue, X Wang, ... IEEE Transactions on Evolutionary Computation, 2024 | | 2024 |
Shigehiko KanayaProfessor of Computational Systems biology Lab, Nara Institute of Science and Technology (NAIST)Email confirmado em gtc.naist.jp
