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ORCIDNaoaki Ono
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2020 – today
- 2024
[c32]Md. Shakhaout Hossain, Naoaki Ono, Shigehiko Kanaya, Md. Altaf-Ul-Amin:
No-Reference Blurred Image Detection from Colonoscopy Videos Using Walsh-Hadamard Transform and Kolmogorov Smirnov Test. IST 2024: 1-6- [i6]Sota Kudo, Naoaki Ono, Shigehiko Kanaya, Ming Huang:
Flexible Variational Information Bottleneck: Achieving Diverse Compression with a Single Training. CoRR abs/2402.01238 (2024) - 2023
- [c31]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 - [c30]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 - [i5]Daiki Koge, Naoaki Ono, Shigehiko Kanaya:
Variational Autoencoding Molecular Graphs with Denoising Diffusion Probabilistic Model. CoRR abs/2307.00623 (2023) - [i4]Daiki Koge, Naoaki Ono, Shigehiko Kanaya:
Pre-training of Molecular GNNs as Conditional Boltzmann Generator. CoRR abs/2312.13110 (2023) - 2022
- [j16]Tetsushi Tanaka, André Freire Cruz, Naoaki Ono, Shigehiko Kanaya:
Clustering analysis of soil microbial community at global scale. Int. J. Bioinform. Res. Appl. 18(3): 219-233 (2022) - [c29]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 - [c28]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 - [c27]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 - [c26]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 - [c25]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 - [c24]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 - [c23]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 - [c22]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) - 2021
- [j15]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) - [j14]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) - [j13]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) - [j12]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) - [c21]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 - [c20]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 - [c19]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 - [c18]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 - [c17]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 - [c16]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
- [j11]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) - [c15]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
- [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) - [c14]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 - [c13]Jieying Hu, Ming Huang, Naoaki Ono, Ye Chen-Izu, Leighton T. Izu, Shigehiko Kanaya:
Cardiotoxicity Prediction Based on Integreted hERG Database with Molecular Convolution Model. BIBM 2019: 1500-1503 - [c12]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 - 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) - [c11]Konosuke Asanou, Naoaki Ono, Chika Iwamoto, Kenoki Ohuchida, Koji Shindo, Shigehiko Kanaya:
Feature extraction and Cluster analysis of Pancreatic Pathological Image Based on Unsupervised Convolutional Neural Network. BIBM 2018: 2738-2740 - 2016
- [j6]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) - 2015
- [c10]Ming Huang, Toshiyo Tamura, Wenxi Chen, Naoaki Ono, Tetsuo Sato, Shigehiko Kanaya:
Evaluation of a noninvasive deep body thermometer in measurement of specific positions. EMBC 2015: 4395-4398 - 2012
- [c9]Kazuyuki Fujita, Yuichi Itoh, Hiroyuki Ohsaki, Naoaki Ono, Keiichiro Kagawa, Kazuki Takashima, Sho Tsugawa, Kosuke Nakajima, Yusuke Hayashi, Fumio Kishino:
Ambient Suite: Room-shaped information environment for interpersonal communication. VR 2012: 1-4 - [c8]Sho Tsugawa, Hiroyuki Ohsaki, Yuichi Itoh, Naoaki Ono, Keiichiro Kagawa, Kazuki Takashima, Makoto Imase:
Toward large-scale and dynamic social network analysis with heterogeneous sensors in ambient environment. VR 2012: 1-2 - 2011
- [c7]Kazuyuki Fujita, Yuichi Itoh, Hiroyuki Ohsaki, Naoaki Ono, Keiichiro Kagawa, Kazuki Takashima, Sho Tsugawa, Kosuke Nakajima, Yusuke Hayashi, Fumio Kishino:
Ambient Suite: enhancing communication among multiple participants. Advances in Computer Entertainment Technology 2011: 25 - [c6]Sho Tsugawa, Hiroyuki Ohsaki, Yuichi Itoh, Naoaki Ono, Keiichiro Kagawa, Kazuki Takashima, Makoto Imase:
Quasi-realtime social network construction with heterogeneous sensors in ambient environment. Advances in Computer Entertainment Technology 2011: 75
2000 – 2009
- 2009
- [j5]Chikara Furusawa, Naoaki Ono, Shingo Suzuki, Tomoharu Agata, Hiroshi Shimizu, Tetsuya Yomo:
Model-based analysis of non-specific binding for background correction of high-density oligonucleotide microarrays. Bioinform. 25(1): 36-41 (2009) - [j4]Tomoharu Hogiri, Chikara Furusawa, Yohei Shinfuku, Naoaki Ono, Hiroshi Shimizu:
Analysis of metabolic network based on conservation of molecular structure. Biosyst. 95(3): 175-178 (2009) - [j3]Kumiko Kihara, Kotaro Mori, Shingo Suzuki, Naoaki Ono, Chikara Furusawa, Tetsuya Yomo:
Global/temporal gene expression analysis of Escherichia coli in the early stages of symbiotic relationship development with the cellular slime mold Dictyostelium discoideum. Biosyst. 96(2): 141-164 (2009) - 2008
- [j2]Naoaki Ono, Shingo Suzuki, Chikara Furusawa, Tomoharu Agata, Akiko Kashiwagi, Hiroshi Shimizu, Tetsuya Yomo:
An improved physico-chemical model of hybridization on high-density oligonucleotide microarrays. Bioinform. 24(10): 1278-1285 (2008) - [c5]Naoaki Ono, Shingo Suzuki, Chikara Furusawa, Hiroshi Shimizu, Tetsuya Yomo:
Quantitative expression analysis using oligonucleotide microarrays based on a physico-chemical model. BIONETICS 2008: 18 - 2007
- [i1]Kikuo Yuta, Naoaki Ono, Yoshi Fujiwara:
A Gap in the Community-Size Distribution of a Large-Scale Social Networking Site. CoRR abs/physics/0701168 (2007) - 2005
- [c4]Naoaki Ono, Yoshi Fujiwara, Kikuo Yuta:
Artificial Metabolic System: An Evolutionary Model for Community Organization in Metabolic Networks. ECAL 2005: 716-724 - 2003
- [j1]Hideaki Suzuki, Naoaki Ono, Kikuo Yuta:
Several Necessary Conditions for the Evolution of Complex Forms of Life in an Artificial Environment. Artif. Life 9(2): 153-174 (2003) - [c3]Duraid Madina, Naoaki Ono, Takashi Ikegami:
Cellular Evolution in a 3D Lattice Artificial Chemistry. ECAL 2003: 59-68 - 2001
- [c2]Naoaki Ono, Takashi Ikegami:
Artificial Chemistry: Computational Studies on the Emergence of Self-Reproducing Units. ECAL 2001: 186-195
1990 – 1999
- 1999
- [c1]Naoaki Ono, Takashi Ikegami:
Model of Self-Replicating Cell Capable of Self-Maintenance. ECAL 1999: 399-406
Coauthor Index
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