Model of Self-Replicating Cell Capable of Self-Maintenance. - Naoaki Ono; Takashi Ikegami (ECAL, 1999)

Artificial Chemistry: Computational Studies on the Emergence of Self-Reproducing Units. - Naoaki Ono; Takashi Ikegami (ECAL, 2001)

Cellular Evolution in a 3D Lattice Artificial Chemistry. - Duraid Madina; Naoaki Ono; Takashi Ikegami (ECAL, 2003)

Several Necessary Conditions for the Evolution of Complex Forms of Life in an Artificial Environment. - Hideaki Suzuki; Naoaki Ono; Kikuo Yuta (Artif. Life, 2003)

Artificial Metabolic System: An Evolutionary Model for Community Organization in Metabolic Networks. - Naoaki Ono; Yoshi Fujiwara; Kikuo Yuta (ECAL, 2005)

A Gap in the Community-Size Distribution of a Large-Scale Social Networking Site - Kikuo Yuta; Naoaki Ono; Yoshi Fujiwara (CoRR, 2007)

Quantitative expression analysis using oligonucleotide microarrays based on a physico-chemical model. - Naoaki Ono; Shingo Suzuki; Chikara Furusawa; Hiroshi Shimizu; Tetsuya Yomo (BIONETICS, 2008)

An improved physico-chemical model of hybridization on high-density oligonucleotide microarrays. - Naoaki Ono; Shingo Suzuki; Chikara Furusawa; Tomoharu Agata; Akiko Kashiwagi; Hiroshi Shimizu; Tetsuya Yomo (Bioinform., 2008)

Model-based analysis of non-specific binding for background correction of high-density oligonucleotide microarrays. - Chikara Furusawa; Naoaki Ono; Shingo Suzuki; Tomoharu Agata; Hiroshi Shimizu; Tetsuya Yomo (Bioinform., 2009)

Analysis of metabolic network based on conservation of molecular structure. - Tomoharu Hogiri; Chikara Furusawa; Yohei Shinfuku; Naoaki Ono; Hiroshi Shimizu (Biosyst., 2009)

Global/temporal gene expression analysis of Escherichia coli in the early stages of symbiotic relationship development with the cellular slime mold Dictyostelium discoideum. - Kumiko Kihara; Kotaro Mori; Shingo Suzuki; Naoaki Ono; Chikara Furusawa; Tetsuya Yomo (Biosyst., 2009)

Ambient Suite: enhancing communication among multiple participants. - Kazuyuki Fujita; Yuichi Itoh; Hiroyuki Ohsaki; Naoaki Ono; Keiichiro Kagawa; Kazuki Takashima; Sho Tsugawa; Kosuke Nakajima; Yusuke Hayashi; Fumio Kishino (Advances in Computer Entertainment Technology, 2011)

Quasi-realtime social network construction with heterogeneous sensors in ambient environment. - Sho Tsugawa; Hiroyuki Ohsaki; Yuichi Itoh; Naoaki Ono; Keiichiro Kagawa; Kazuki Takashima; Makoto Imase (Advances in Computer Entertainment Technology, 2011)

Ambient Suite: Room-shaped information environment for interpersonal communication. - Kazuyuki Fujita; Yuichi Itoh; Hiroyuki Ohsaki; Naoaki Ono; Keiichiro Kagawa; Kazuki Takashima; Sho Tsugawa; Kosuke Nakajima; Yusuke Hayashi; Fumio Kishino (VR, 2012)

Toward large-scale and dynamic social network analysis with heterogeneous sensors in ambient environment. - Sho Tsugawa; Hiroyuki Ohsaki; Yuichi Itoh; Naoaki Ono; Keiichiro Kagawa; Kazuki Takashima; Makoto Imase (VR, 2012)

Evaluation of a noninvasive deep body thermometer in measurement of specific positions. - Ming Huang 002; Toshiyo Tamura; Wenxi Chen; Naoaki Ono; Tetsuo Sato; Shigehiko Kanaya (EMBC, 2015)

Integrated pathway-based transcription regulation network mining and visualization based on gene expression profiles. - Nelson Kibinge; Naoaki Ono; Masafumi Horie; Tetsuo Sato; Tadao Sugiura; Md. Altaf-Ul-Amin; Akira Saito; Shigehiko Kanaya (J. Biomed. Informatics, 2016)

Feature extraction and Cluster analysis of Pancreatic Pathological Image Based on Unsupervised Convolutional Neural Network. - Konosuke Asanou; Naoaki Ono; Chika Iwamoto; Kenoki Ohuchida; Koji Shindo; Shigehiko Kanaya (BIBM, 2018)

An integrative network-based approach to identify novel disease genes and pathways: a case study in the context of inflammatory bowel disease. - Ryohei Eguchi; Mohammad Bozlul Karim; Pingzhao Hu; Tetsuo Sato; Naoaki Ono; Shigehiko Kanaya; Md. Altaf-Ul-Amin (BMC Bioinform., 2018)

Classification of lung adenocarcinoma transcriptome subtypes from pathological images using deep convolutional networks. - Victor Andrew A. Antonio; Naoaki Ono; Akira Saito; Tetsuo Sato; Md. Altaf-Ul-Amin; Shigehiko Kanaya (Int. J. Comput. Assist. Radiol. Surg., 2018)

Inter Disease Relations Based on Human Biomarkers by Network Analysis. - Shaikh Farhad Hossain; Ming Huang 002; Naoaki Ono; Shigehiko Kanaya; Md. Altaf-Ul-Amin (BIBE, 2019)

Cardiotoxicity Prediction Based on Integreted hERG Database with Molecular Convolution Model. - Jieying Hu; Ming Huang 002; Naoaki Ono; Ye Chen-Izu; Leighton T. Izu; Shigehiko Kanaya (BIBM, 2019)

The Feasibility of Arrhythmias Detection from A Capacitive ECG Measurement Using Convolutional Neural Network. - Koshiro Kido; Naoaki Ono; Md. Altaf-Ul-Amin; Shigehiko Kanaya; Ming Huang 002 (EMBC, 2019)

Classification of alkaloids according to the starting substances of their biosynthetic pathways using graph convolutional neural networks. - Ryohei Eguchi; Naoaki Ono; Aki Hirai; Tetsuo Katsuragi; Satoshi Nakamura 001; Ming Huang 002; Md. Altaf-Ul-Amin; Shigehiko Kanaya (BMC Bioinform., 2019)

A Novel CNN-Based Framework for Classification of Signal Quality and Sleep Position from a Capacitive ECG Measurement. - Koshiro Kido; Toshiyo Tamura; Naoaki Ono; Md. Altaf-Ul-Amin; Masaki Sekine; Shigehiko Kanaya; Ming Huang 002 (Sensors, 2019)

iVAE: An Improved Deep Learning Structure for EEG Signal Characterization and Reconstruction. - Zheng Chen 012; Naoaki Ono; Md. Altaf-Ul-Amin; Shigehiko Kanaya; Ming Huang 002 (BIBM, 2020)

BiClusO: A Novel Biclustering Approach and Its Application to Species-VOC Relational Data. - Mohammad Bozlul Karim; Ming Huang 002; Naoaki Ono; Shigehiko Kanaya; Md. Altaf-Ul-Amin (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

An End-to-End Sleep Staging Simulator Based on Mixed Deep Neural Networks. - Zheng Chen 012; Ziwei Yang 002; Dong Wang 044; Ming Huang 002; Naoaki Ono; Md. Altaf-Ul-Amin; Shigehiko Kanaya (BIBM, 2021)

An Integrated Multi-Omics Approach for AMR Phenotype Prediction of Gut Microbiota. - Pei Gao; Zheng Chen 012; Dong Wang 044; Ming Huang 002; Naoaki Ono; Md. Altaf-Ul-Amin; Shigehiko Kanaya (BIBM, 2021)

Exploring Feasibility of Truth-Involved Automatic Sleep Staging Combined with Transformer. - Ziwei Yang 002; Dong Wang 044; Zheng Chen 012; Ming Huang 002; Naoaki Ono; Md. Altaf-Ul-Amin; Shigehiko Kanaya (BIBM, 2021)

Feasibility Analysis of Symbolic Representation for Single-Channel EEG-Based Sleep Stages. - Zheng Chen 012; Pei Gao; Ming Huang 002; Naoaki Ono; Md. Altaf-Ul-Amin; Shigehiko Kanaya (EMBC, 2021)

An Approach to Construct and Validate TCM Dataset Effective against Bacterial Pneumonia. - Pei Gao; Zheng Chen 012; Ming Huang 002; Naoaki Ono; Shigehiko Kanaya; Md. Altaf-Ul-Amin (LifeTech, 2021)

Prediction of Body Constitutions through Life-Style for Health Guidance. - Guang Shi; Zheng Chen 012; Shigehiko Kanaya; Md. Altaf-Ul-Amin; Naoaki Ono; Ming Huang 002 (LifeTech, 2021)

Development of a biomarker database toward performing disease classification and finding disease interrelations. - Shaikh Farhad Hossain; Ming Huang 002; Naoaki Ono; Aki Morita; Shigehiko Kanaya; Md. Altaf-Ul-Amin (Database J. Biol. Databases Curation, 2021)

The feasibility of predicting impending malignant ventricular arrhythmias by using nonlinear features of short heartbeat intervals. - Zheng Chen 012; Naoaki Ono; Wei Chen 015; Toshiyo Tamura; Md. Altaf-Ul-Amin; Shigehiko Kanaya; Ming Huang 002 (Comput. Methods Programs Biomed., 2021)

A Real-Time Portable IoT System for Telework Tracking. - Yongxin Zhang; Zheng Chen 012; Haoyu Tian; Koshiro Kido; Naoaki Ono; Wei Chen 015; Toshiyo Tamura; Md. Altaf-Ul-Amin; Shigehiko Kanaya; Ming Huang 002 (Frontiers Digit. Health, 2021)

Kinematics approach with neural networks for early detection of sepsis (KANNEDS). - Márcio Freire Cruz; Naoaki Ono; Ming Huang 002; Md. Altaf-Ul-Amin; Shigehiko Kanaya; Carlos Arthur Mattos Teixeira Cavalcante (BMC Medical Informatics Decis. Mak., 2021)

Prediction of Potential Natural Antibiotics based on Jamu Formula Using Machine Learning Approach. - Ahmad Kamal Nasution; Sony Hartono Wijaya; Ming Huang 002; Naoaki Ono; Shigehiko Kanaya; Md. Altaf-Ul-Amin (BIBE, 2022)

Cancer Subtyping via Embedded Unsupervised Learning on Transcriptomics Data. - Ziwei Yang 002; Lingwei Zhu; Zheng Chen 012; Ming Huang 002; Naoaki Ono; Md. Altaf-Ul-Amin; Shigehiko Kanaya (EMBC, 2022)

Feature Extraction and Unsupervised Clustering of Histopathological Images of Pancreatic Cancer Using Information Maximization. - Mahfujul Islam Rumman; Naoaki Ono; Kenoki Ohuchida; Md. Altaf-Ul-Amin; Ming Huang 002; Shigehiko Kanaya (GCCE, 2022)

Straightforward Clustering and Identification of Morphological-Level Pancreatic Carcinoma. - Guangxian Zhu; Huijia Wang; Ming Huang 002; Md. Altaf-Ul-Amin; Naoaki Ono; Shigehiko Kanaya (GCCE, 2022)

Deep Learning-Based Sleep Staging with Acceleration and Heart Rate Data of a Consumer Wearable Device. - Sota Kudo; Zheng Chen 012; Naoaki Ono; Md. Altaf-Ul-Amin; Shigehiko Kanaya; Ming Huang 002 (LifeTech, 2022)

Algorithm Cocktail Approach for Predicting Body Constitution and Bias Recovery. - Guang Shi; Zheng Chen 012; Ming Huang 002; Renyuan Zhang; Naoaki Ono; Md. Altaf-Ul-Amin; Shigehiko Kanaya (LifeTech, 2022)

Reconciling of the distances in physical space and latent feature space for complex activity modeling. - Yongxin Zhang; Naoaki Ono; Md. Altaf-Ul-Amin; Shigehiko Kanaya; Ming Huang 002 (LifeTech, 2022)

A Stochastic Coding Method of EEG Signals for Sleep Stage Classification. - Guangxian Zhu; Huijia Wang; Yirong Kan; Zheng Chen 012; Ming Huang 002; Md. Altaf-Ul-Amin; Naoaki Ono; Shigehiko Kanaya; Renyuan Zhang; Yasuhiko Nakashima (SOCC, 2022)

Enhancement on Model Interpretability and Sleep Stage Scoring Performance with A Novel Pipeline Based on Deep Neural Network. - Zheng Chen 012; Ziwei Yang 002; Ming Huang 002; Toshiyo Tamura; Naoaki Ono; Md. Altaf-Ul-Amin; Shigehiko Kanaya (CoRR, 2022)

Clustering analysis of soil microbial community at global scale. - Tetsushi Tanaka; André Freire Cruz; Naoaki Ono; Shigehiko Kanaya (Int. J. Bioinform. Res. Appl., 2022)

Investigating Potential Natural Antibiotics Plants Based on Unani Formula Using Supervised Network Analysis and Machine Learning Approach. - Ahmad Kamal Nasution; Naoaki Ono; Shigehiko Kanaya; Md. Altaf-Ul-Amin (BIBM, 2023)

Utilizing Contrastive Predictive Coding for the Detection of Epilepsy in EEG Data. - Zihang Wang; Guangxian Zhu; Haohui Jia; Kenta T. Suzuki; Dafang Zhao; Naoaki Ono; Md. Altaf-Ul-Amin; Shigehiko Kanaya (GCCE, 2023)

Variational Autoencoding Molecular Graphs with Denoising Diffusion Probabilistic Model. - Daiki Koge; Naoaki Ono; Shigehiko Kanaya (CoRR, 2023)

Pre-training of Molecular GNNs as Conditional Boltzmann Generator. - Daiki Koge; Naoaki Ono; Shigehiko Kanaya (CoRR, 2023)

No-Reference Blurred Image Detection from Colonoscopy Videos Using Walsh-Hadamard Transform and Kolmogorov Smirnov Test. - Md. Shakhaout Hossain; Naoaki Ono; Shigehiko Kanaya; Md. Altaf-Ul-Amin (IST, 2024)

Flexible variational information bottleneck: Achieving diverse compression with a single training. - Sota Kudo; Naoaki Ono; Shigehiko Kanaya; Ming Huang 002 (Neurocomputing, 2025)