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2020 – today
- 2023
[j19]Md. Shakhaout Hossain
, Sami Azam, Asif Karim, Sidratul Montaha, Ryana Quadir, Friso De Boer, Md. Altaf-Ul-Amin:
Ergonomic Risk Prediction for Awkward Postures From 3D Keypoints Using Deep Learning. IEEE Access 11: 114497-114508 (2023)- [j18]Zheng Chen, Ziwei Yang, Lingwei Zhu, Peng Gao, Takashi Matsubara, Shigehiko Kanaya, Md. Altaf-Ul-Amin:
Learning vector quantized representation for cancer subtypes identification. Comput. Methods Programs Biomed. 236: 107543 (2023) - [c27]Ahmad Kamal Nasution, Naoaki Ono, Shigehiko Kanaya, Md. Altaf-Ul-Amin:
Investigating Potential Natural Antibiotics Plants Based on Unani Formula Using Supervised Network Analysis and Machine Learning Approach. BIBM 2023: 3111-3117 - [c26]Zihang Wang, Guangxian Zhu, Haohui Jia, Kenta T. Suzuki, Dafang Zhao, Naoaki Ono, Md. Altaf-Ul-Amin, Shigehiko Kanaya:
Utilizing Contrastive Predictive Coding for the Detection of Epilepsy in EEG Data. GCCE 2023: 346-347 - 2022
- [c25]Ahmad Kamal Nasution, Sony Hartono Wijaya, Ming Huang, Naoaki Ono, Shigehiko Kanaya, Md. Altaf-Ul-Amin:
Prediction of Potential Natural Antibiotics based on Jamu Formula Using Machine Learning Approach. BIBE 2022: 204-209 - [c24]Ziwei Yang, Lingwei Zhu, Chen Li, Zheng Chen, Naoki Ono, Md. Altaf-Ul-Amin, Shigehiko Kanaya:
Hierarchical Categorical Generative Modeling for Multi-omics Cancer Subtyping. BIBM 2022: 1350-1355 - [c23]Ziwei Yang, Lingwei Zhu, Zheng Chen, Ming Huang, Naoaki Ono, Md. Altaf-Ul-Amin, Shigehiko Kanaya:
Cancer Subtyping via Embedded Unsupervised Learning on Transcriptomics Data. EMBC 2022: 1113-1116 - [c22]Mahfujul Islam Rumman, Naoaki Ono, Kenoki Ohuchida, Md. Altaf-Ul-Amin, Ming Huang, Shigehiko Kanaya:
Feature Extraction and Unsupervised Clustering of Histopathological Images of Pancreatic Cancer Using Information Maximization. GCCE 2022: 117-120 - [c21]Guangxian Zhu, Huijia Wang, Ming Huang, Md. Altaf-Ul-Amin, Naoaki Ono, Shigehiko Kanaya:
Straightforward Clustering and Identification of Morphological-Level Pancreatic Carcinoma. GCCE 2022: 162-163 - [c20]Guang Shi, Zheng Chen, Ming Huang, Renyuan Zhang, Naoaki Ono, Md. Altaf-Ul-Amin, Shigehiko Kanaya:
Algorithm Cocktail Approach for Predicting Body Constitution and Bias Recovery. LifeTech 2022: 112-113 - [c19]Sota Kudo, Zheng Chen, Naoaki Ono, Md. Altaf-Ul-Amin, Shigehiko Kanaya, Ming Huang:
Deep Learning-Based Sleep Staging with Acceleration and Heart Rate Data of a Consumer Wearable Device. LifeTech 2022: 305-307 - [c18]Yongxin Zhang, Naoaki Ono, Md. Altaf-Ul-Amin, Shigehiko Kanaya, Ming Huang:
Reconciling of the distances in physical space and latent feature space for complex activity modeling. LifeTech 2022: 524-526 - [c17]Guangxian Zhu, Huijia Wang, Yirong Kan, Zheng Chen, Ming Huang, Md. Altaf-Ul-Amin, Naoaki Ono, Shigehiko Kanaya, Renyuan Zhang, Yasuhiko Nakashima:
A Stochastic Coding Method of EEG Signals for Sleep Stage Classification. SOCC 2022: 1-6 - [i3]Ziwei Yang, Lingwei Zhu, Zheng Chen, Ming Huang, Naoaki Ono, Md. Altaf-Ul-Amin, Shigehiko Kanaya:
Cancer Subtyping via Embedded Unsupervised Learning on Transcriptomics Data. CoRR abs/2204.02278 (2022) - [i2]Zheng Chen, Ziwei Yang, Ming Huang, Toshiyo Tamura, Naoaki Ono, Md. Altaf-Ul-Amin, Shigehiko Kanaya:
Enhancement on Model Interpretability and Sleep Stage Scoring Performance with A Novel Pipeline Based on Deep Neural Network. CoRR abs/2204.03173 (2022) - [i1]Zheng Chen, Ziwei Yang, Lingwei Zhu, Guang Shi, Kun Yue, Takashi Matsubara, Shigehiko Kanaya, Md. Altaf-Ul-Amin:
Cancer Subtyping by Improved Transcriptomic Features Using Vector Quantized Variational Autoencoder. CoRR abs/2207.09783 (2022) - 2021
- [j17]Shaikh Farhad Hossain, Ming Huang, Naoaki Ono, Aki Morita, Shigehiko Kanaya, Md. Altaf-Ul-Amin:
Development of a biomarker database toward performing disease classification and finding disease interrelations. Database J. Biol. Databases Curation 2021 (2021) - [j16]Zheng Chen, Naoaki Ono, Wei Chen, Toshiyo Tamura, Md. Altaf-Ul-Amin, Shigehiko Kanaya, Ming Huang:
The feasibility of predicting impending malignant ventricular arrhythmias by using nonlinear features of short heartbeat intervals. Comput. Methods Programs Biomed. 205: 106102 (2021) - [j15]Yongxin Zhang, Zheng Chen, Haoyu Tian, Koshiro Kido, Naoaki Ono, Wei Chen, Toshiyo Tamura, Md. Altaf-Ul-Amin, Shigehiko Kanaya, Ming Huang:
A Real-Time Portable IoT System for Telework Tracking. Frontiers Digit. Health 3: 643042 (2021) - [j14]Márcio Freire Cruz, Naoaki Ono, Ming Huang, Md. Altaf-Ul-Amin, Shigehiko Kanaya, Carlos Arthur Mattos Teixeira Cavalcante:
Kinematics approach with neural networks for early detection of sepsis (KANNEDS). BMC Medical Informatics Decis. Mak. 21(1): 163 (2021) - [j13]Mohammad Bozlul Karim, Shigehiko Kanaya, Md. Altaf-Ul-Amin:
DPClusSBO: An integrated software for clustering of simple and bipartite graphs. SoftwareX 16: 100821 (2021) - [c16]Zheng Chen, Ziwei Yang, Dong Wang, Ming Huang, Naoaki Ono, Md. Altaf-Ul-Amin, Shigehiko Kanaya:
An End-to-End Sleep Staging Simulator Based on Mixed Deep Neural Networks. BIBM 2021: 848-853 - [c15]Pei Gao, Zheng Chen, Dong Wang, Ming Huang, Naoaki Ono, Md. Altaf-Ul-Amin, Shigehiko Kanaya:
An Integrated Multi-Omics Approach for AMR Phenotype Prediction of Gut Microbiota. BIBM 2021: 2211-2216 - [c14]Ziwei Yang, Dong Wang, Zheng Chen, Ming Huang, Naoaki Ono, Md. Altaf-Ul-Amin, Shigehiko Kanaya:
Exploring Feasibility of Truth-Involved Automatic Sleep Staging Combined with Transformer. BIBM 2021: 2920-2923 - [c13]Zheng Chen, Pei Gao, Ming Huang, Naoaki Ono, Md. Altaf-Ul-Amin, Shigehiko Kanaya:
Feasibility Analysis of Symbolic Representation for Single-Channel EEG-Based Sleep Stages. EMBC 2021: 5928-5931 - [c12]Pei Gao, Zheng Chen, Ming Huang, Naoaki Ono, Shigehiko Kanaya, Md. Altaf-Ul-Amin:
An Approach to Construct and Validate TCM Dataset Effective against Bacterial Pneumonia. LifeTech 2021: 102-103 - [c11]Guang Shi, Zheng Chen, Shigehiko Kanaya, Md. Altaf-Ul-Amin, Naoaki Ono, Ming Huang:
Prediction of Body Constitutions through Life-Style for Health Guidance. LifeTech 2021: 106-107 - 2020
- [j12]Mohammad Bozlul Karim, Ming Huang, Naoaki Ono, Shigehiko Kanaya, Md. Altaf-Ul-Amin:
BiClusO: A Novel Biclustering Approach and Its Application to Species-VOC Relational Data. IEEE ACM Trans. Comput. Biol. Bioinform. 17(6): 1955-1965 (2020) - [c10]Zheng Chen, Naoaki Ono, Md. Altaf-Ul-Amin, Shigehiko Kanaya, Ming Huang:
iVAE: An Improved Deep Learning Structure for EEG Signal Characterization and Reconstruction. BIBM 2020: 1909-1913
2010 – 2019
- 2019
- [j11]Mohammad Bozlul Karim, Shigehiko Kanaya, Md. Altaf-Ul-Amin:
Implementation of BiClusO and its comparison with other biclustering algorithms. Appl. Netw. Sci. 4(1): 79:1-79:15 (2019) - [j10]Ryohei Eguchi, Naoaki Ono, Aki Hirai, Tetsuo Katsuragi, Satoshi Nakamura, Ming Huang, Md. Altaf-Ul-Amin, Shigehiko Kanaya:
Classification of alkaloids according to the starting substances of their biosynthetic pathways using graph convolutional neural networks. BMC Bioinform. 20(1): 380:1-380:13 (2019) - [j9]Koshiro Kido, Toshiyo Tamura, Naoaki Ono, Md. Altaf-Ul-Amin, Masaki Sekine, Shigehiko Kanaya, Ming Huang:
A Novel CNN-Based Framework for Classification of Signal Quality and Sleep Position from a Capacitive ECG Measurement. Sensors 19(7): 1731 (2019) - [c9]Shaikh Farhad Hossain, Ming Huang, Naoaki Ono, Shigehiko Kanaya, Md. Altaf-Ul-Amin:
Inter Disease Relations Based on Human Biomarkers by Network Analysis. BIBE 2019: 103-108 - [c8]Koshiro Kido, Naoaki Ono, Md. Altaf-Ul-Amin, Shigehiko Kanaya, Ming Huang:
The Feasibility of Arrhythmias Detection from A Capacitive ECG Measurement Using Convolutional Neural Network. EMBC 2019: 3494-3497 - [r1]Md. Altaf-Ul-Amin, Shigehiko Kanaya, Zeti-Azura Mohamed-Hussein:
Investigating Metabolic Pathways and Networks. Encyclopedia of Bioinformatics and Computational Biology (3) 2019: 489-503 - 2018
- [j8]Ryohei Eguchi, Mohammad Bozlul Karim, Pingzhao Hu, Tetsuo Sato, Naoaki Ono, Shigehiko Kanaya, Md. Altaf-Ul-Amin:
An integrative network-based approach to identify novel disease genes and pathways: a case study in the context of inflammatory bowel disease. BMC Bioinform. 19(1): 264:1-264:12 (2018) - [j7]Victor Andrew A. Antonio, Naoaki Ono, Akira Saito, Tetsuo Sato, Md. Altaf-Ul-Amin, Shigehiko Kanaya:
Classification of lung adenocarcinoma transcriptome subtypes from pathological images using deep convolutional networks. Int. J. Comput. Assist. Radiol. Surg. 13(12): 1905-1913 (2018) - [c7]Shaikh Farhad Hossain, Sony Hartono Wijaya, Ming Huang, Irmanida Batubara, Shigehiko Kanaya, Md. Altaf-Ul-Amin Farhad:
Prediction of Plant-Disease Relations Based on Unani Formulas by Network Analysis. BIBE 2018: 348-351 - [c6]Mohammad Bozlul Karim, Shigehiko Kanaya, Md. Altaf-Ul-Amin:
Comparison of BiClusO with Five Different Biclustering Algorithms Using Biological and Synthetic Data. COMPLEX NETWORKS (2) 2018: 575-585 - 2016
- [j6]Sony Hartono Wijaya, Farit Mochamad Afendi, Irmanida Batubara, Latifah K. Darusman, Md. Altaf-Ul-Amin, Shigehiko Kanaya:
Finding an appropriate equation to measure similarity between binary vectors: case studies on Indonesian and Japanese herbal medicines. BMC Bioinform. 17: 520:1-520:19 (2016) - [j5]Nelson Kibinge, Naoaki Ono, Masafumi Horie, Tetsuo Sato, Tadao Sugiura, Md. Altaf-Ul-Amin, Akira Saito, Shigehiko Kanaya:
Integrated pathway-based transcription regulation network mining and visualization based on gene expression profiles. J. Biomed. Informatics 61: 194-202 (2016) - 2012
- [j4]Shingo Kikugawa, Kensaku Nishikata, Katsuhiko Murakami, Yoshiharu Sato, Mami Suzuki, Md. Altaf-Ul-Amin, Shigehiko Kanaya, Tadashi Imanishi:
PCDq: human protein complex database with quality index which summarizes different levels of evidences of protein complexes predicted from H-Invitational protein-protein interactions integrative dataset. BMC Syst. Biol. 6(S-2): S7 (2012) - 2010
- [c5]Farit Mochamad Afendi, Latifah K. Darusman, Aki Hirai, Md. Altaf-Ul-Amin, Hiroki Takahashi, Kensuke Nakamura, Shigehiko Kanaya:
System Biology Approach for Elucidating the Relationship Between Indonesian Herbal Plants and the Efficacy of Jamu. ICDM Workshops 2010: 661-668
2000 – 2009
- 2007
- [j3]Hijiri Maeno, Md. Altaf-Ul-Amin, Yoko Shinbo, Ken Kurokawa, Naotake Ogasawara, Shigehiko Kanaya:
Elucidating Conservation of Genes in Multiple Genomes Based on Graphs Configured by Bidirectional Best-Hit Relationships. Inf. Media Technol. 2(1): 68-78 (2007) - [j2]Hisashi Tuji, Md. Altaf-Ul-Amin, Masanori Arita, Hirokazu Nishio, Yoko Shinbo, Ken Kurokawa, Shigehiko Kanaya:
Comparison of Protein Complexes Predicted from PPI Networks by DPClus and Newman Clustering Algorithms. Inf. Media Technol. 2(1): 98-108 (2007) - 2006
- [j1]Md. Altaf-Ul-Amin, Yoko Shinbo, Kenji Mihara, Ken Kurokawa, Shigehiko Kanaya:
Development and implementation of an algorithm for detection of protein complexes in large interaction networks. BMC Bioinform. 7: 207 (2006) - 2005
- [c4]Md. Altaf-Ul-Amin, Toshihiro Koma, Ken Kurokawa, Shigehiko Kanaya:
Prediction of Protein Functions Based on Protein-Protein Interaction Networks: A Min-Cut Approach. ICDE Workshops 2005: 1156 - 2001
- [c3]Md. Altaf-Ul-Amin, Satoshi Ohtake, Hideo Fujiwara:
Design for Hierarchical Two-Pattern Testability of Data Paths. Asian Test Symposium 2001: 11-16
1990 – 1999
- 1999
- [c2]Md. Altaf-Ul-Amin, Zahari Mohamed Darus:
VHDL Design of a Test Processor Based on Mixed-Mode Test Generation. Great Lakes Symposium on VLSI 1999: 244- - 1998
- [c1]Md. Altaf-Ul-Amin, Zahari Mohamed Darus:
An Off-Chip Current Sensor for IDDQ Testing of CMOS ICs. Asian Test Symposium 1998: 318-322
Coauthor Index
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