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ORCIDJonathan H. Chan
Jonathan Hoyin Chan – โจนาธาน โฮยิน ชาน
Person information
- unicode name: โจนาธาน โฮยิน ชาน
- affiliation: King Mongkut's University of Technology Thonburi, Thailand
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Journal Articles
- 2024
[j14]Weixu Zhang
, Yifei Wang, Yuanfeng Song, Victor Junqiu Wei, Yuxing Tian, Yiyan Qi, Jonathan H. Chan, Raymond Chi-Wing Wong, Haiqin Yang:
Natural Language Interfaces for Tabular Data Querying and Visualization: A Survey. IEEE Trans. Knowl. Data Eng. 36(11): 6699-6718 (2024)- 2022
- [j13]Lawal Ibrahim Faruk Dutsinma, Debajyoti Pal, Suree Funilkul, Jonathan H. Chan:
A Systematic Review of Voice Assistant Usability: An ISO 9241-11 Approach. SN Comput. Sci. 3(4): 267 (2022) - 2019
- [j12]Wutthipong Kongburan, Mark H. Chignell, Nipon Charoenkitkarn, Jonathan H. Chan:
Enhancing Predictive Power of Cluster-Boosted Regression With Text-Based Indexing. IEEE Access 7: 43394-43405 (2019) - [j11]Wutthipong Kongburan, Praisan Padungweang, Worarat Krathu, Jonathan H. Chan:
Enhancing metabolic event extraction performance with multitask learning concept. J. Biomed. Informatics 93 (2019) - 2016
- [j10]Worrawat Engchuan, Asawin Meechai, Sissades Tongsima, Jonathan H. Chan:
Handling batch effects on cross-platform classification of microarray data. Int. J. Adv. Intell. Paradigms 8(1): 59-76 (2016) - [j9]Worrawat Engchuan, Asawin Meechai, Sissades Tongsima, Narumol Doungpan, Jonathan H. Chan:
Gene-set activity toolbox (GAT): A platform for microarray-based cancer diagnosis using an integrative gene-set analysis approach. J. Bioinform. Comput. Biol. 14(4): 1650015:1-1650015:22 (2016) - [j8]Xueyuan Gong, Simon Fong, Jonathan H. Chan, Sabah Mohammed:
NSPRING: the SPRING extension for subsequence matching of time series supporting normalization. J. Supercomput. 72(10): 3801-3825 (2016) - 2015
- [j7]Worrawat Engchuan, Jonathan H. Chan:
Pathway activity transformation for multi-class classification of lung cancer datasets. Neurocomputing 165: 81-89 (2015) - 2014
- [j6]Sotarat Thammaboosadee, Bunthit Watanapa, Jonathan H. Chan, Udom Silparcha:
A Two-Stage Classifier That Identifies Charge and Punishment under Criminal Law of Civil Law System. IEICE Trans. Inf. Syst. 97-D(4): 864-875 (2014) - 2013
- [j5]Fei Zhu, Preecha Patumcharoenpol, Cheng Zhang, Yang Yang, Jonathan H. Chan, Asawin Meechai, Wanwipa Vongsangnak, Bairong Shen:
Biomedical text mining and its applications in cancer research. J. Biomed. Informatics 46(2): 200-211 (2013) - 2012
- [j4]Christian Schönbach, Sissades Tongsima, Jonathan H. Chan, Vladimir Brusic, Tin Wee Tan, Shoba Ranganathan:
InCoB2012 Conference: from biological data to knowledge to technological breakthroughs. BMC Bioinform. 13(S-17): S1 (2012) - [j3]Jonathan H. Chan, Tasanee Limsuwan:
Web-Based Decision Support System for School Meal Planning. Int. J. Inf. Syst. Soc. Chang. 3(1): 10-21 (2012) - [j2]Pitak Sootanan, Santitham Prom-on, Asawin Meechai, Jonathan Hoyin Chan:
Pathway-based microarray analysis for robust disease classification. Neural Comput. Appl. 21(4): 649-660 (2012) - 2011
- [j1]Santitham Prom-on, Atthawut Chanthaphan, Jonathan Hoyin Chan, Asawin Meechai:
Enhancing Biological Relevance of a Weighted Gene Co-Expression Network for Functional Module Identification. J. Bioinform. Comput. Biol. 9(1): 111-129 (2011)
Conference and Workshop Papers
- 2024
- [c47]Yongcheng Zong, Changhong Jing, Jonathan H. Chan, Shuqiang Wang:
BrainNetDiff: Generative AI Empowers Brain Network Construction Via Multimodal Diffusion. ISBI 2024: 1-5 - 2023
- [c46]Wen Tao Mo, Jonathan H. Chan:
Freezing of Gait Prediction Using Deep Learning. IAIT 2023: 30:1-30:6 - [c45]Mateusz Kazimierczak, Thanyathorn Thanapattheerakul, Jonathan H. Chan:
Enhancing Security in WhatsApp: A System for Detecting Malicious and Inappropriate Content. SoICT 2023: 274-281 - 2021
- [c44]Shafinul Haque, Andy Wei Liu, Serena Liu, Jonathan H. Chan:
Improving the Robustness of a Convolutional Neural Network with Out-of-Distribution Data Fine-Tuning and Image Preprocessing. IAIT 2021: 26:1-26:7 - [c43]Abnash Bassi, Anika Shenoy, Arjun Sharma, Hanna Sigurdson, Connor Glossop, Jonathan H. Chan:
Building Energy Consumption Forecasting: A Comparison of Gradient Boosting Models. IAIT 2021: 27:1-27:9 - [c42]Debasrita Chakraborty, Debayan Goswami, Ashish Ghosh, Jonathan H. Chan, Susmita Ghosh:
Learning from Others: A Data Driven Transfer Learning based Daily New COVID-19 Case Prediction in India using an Ensemble of LSTM-RNNs. IAIT 2021: 29:1-29:8 - [c41]Hanna Sigurdson, Jonathan H. Chan:
Machine Learning Applications to Sports Injury: A Review. icSPORTS 2021: 157-168 - 2020
- [c40]Ziaullah Momand, Pornchai Mongkolnam, Pichai Kositpanthavong, Jonathan H. Chan:
Data Mining Based Prediction of Malnutrition in Afghan Children. KST 2020: 12-17 - 2019
- [c39]Thiptanawat Phongwattana, Jonathan H. Chan:
Development of Biomedical Corpus Enlargement Platform Using BERT for Bio-entity Recognition. ICONIP (1) 2019: 454-463 - 2018
- [c38]Debasrita Chakraborty, Deepankar Garg, Ashish Ghosh, Jonathan H. Chan:
Trigger Detection System for American Sign Language using Deep Convolutional Neural Networks. IAIT 2018: 4:1-4:6 - [c37]Thanyathorn Thanapattheerakul, Katherine Mao, Jacqueline Amoranto, Jonathan H. Chan:
Emotion in a Century: A Review of Emotion Recognition. IAIT 2018: 17:1-17:8 - [c36]Thiptanawat Phongwattana, Jonathan H. Chan:
A Combination of Text Mining Techniques for Relevant Literature Search and Extractive Summarization. NLPIR 2018: 7-11 - [c35]Nuntiya Chiensriwimol, Pornchai Mongkolnam, Jonathan H. Chan:
Frozen Shoulder Rehabilitation: Exercise Simulation and Usability Study. SoICT 2018: 257-264 - 2017
- [c34]Boyi Li, Amontep Wijitcharoen, Jonathan H. Chan:
Visualizing thai stock performance using parallel coordinates. VINCI 2017: 67-68 - [c33]Thanyathorn Thanapattheerakul, Jaturong Kongmanee, Jonathan H. Chan:
Network-based visualization tool for analyzing gene expression data. VINCI 2017: 77-78 - [c32]Saila Shama, Philip Lu, Narumol Doungpan, Asawin Meechai, Jonathan H. Chan:
Gene-set profiles: visualizing dissimilarity within gene co-expression networks for biomarker identification. VINCI 2017: 79-80 - [c31]Wutthipong Kongburan, Praisan Padungweang, Worarat Krathu, Jonathan H. Chan:
Network analysis of inter-organizational success factor relationships. VINCI 2017: 83-84 - [c30]Bethany Kon, Alex Lam, Jonathan H. Chan:
Evolution of Smart Homes for the Elderly. WWW (Companion Volume) 2017: 1095-1101 - [c29]Tiffany Tong, Jonathan H. Chan, Mark H. Chignell:
Serious Games for Dementia. WWW (Companion Volume) 2017: 1111-1115 - [c28]Wutthipong Kongburan, Mark H. Chignell, Jonathan H. Chan:
Distillation of Knowledge from the Research Literature on Alzheimer's Dementia. WWW (Companion Volume) 2017: 1137-1140 - 2016
- [c27]Jaturong Kongmanee, Thanyathorn Thanapattheerakul, Jonathan H. Chan:
Parallel Affinity Propagation Clustering in Identifying Sub-Network Biomarker Genes of Lung Cancer. CSBio 2016: 19-23 - [c26]Mark H. Chignell, Chelsea de Guzman, Leon Zucherman, Jie Jiang, Jonathan H. Chan, Nipon Charoenkitkarn:
Improving Sense of Well-Being by Managing Memories of Experience. HCI (5) 2016: 454-465 - [c25]Wutthipong Kongburan, Praisan Padungweang, Worarat Krathu, Jonathan H. Chan:
Semi-automatic construction of thyroid cancer intervention corpus from biomedical abstracts. ICACI 2016: 150-157 - [c24]Wutthipong Kongburan, Praisan Padungweang, Worarat Krathu, Jonathan H. Chan:
Metabolite Named Entity Recognition: A Hybrid Approach. ICONIP (1) 2016: 451-460 - 2015
- [c23]Jonathan H. Chan:
Digital Information and Communication in the Ageing Society. ICADIWT 2015: 3-11 - [c22]Naovarat Limdumrongnukoon, Pornchai Mongkolnam, Thammarsat Visutarrom, Jonathan H. Chan:
User Interface of Multimedia Delivery Platform for the Elderly. ICADIWT 2015: 55-67 - [c21]Kanmanus Ongvisatepaiboon, Vajirasak Vanijja, Jonathan H. Chan:
Smartphone-based Tele-Rehabilitation Framework for Patient with Frozen Shoulder. ICADIWT 2015: 158-169 - [c20]Worrawat Engchuan, Preecha Patumcharoenpol, Jonathan H. Chan:
Comparative Study of Web-Based Gene Expression Analysis Tools for Biomarkers Identification. ICONIP (3) 2015: 214-222 - [c19]Praisan Padungweang, Worrawat Engchuan, Jonathan H. Chan:
TNorm: An Unsupervised Batch Effects Correction Method for Gene Expression Data Classification. ICONIP (1) 2015: 411-420 - [c18]Narumol Doungpan, Worrawat Engchuan, Asawin Meechai, Jonathan H. Chan:
Clustering-based gene-subnetwork biomarker identification using gene expression data. IJCNN 2015: 1-7 - [c17]Kanmanus Ongvisatepaiboon, Jonathan H. Chan, Vajirasak Vanijja:
Smartphone-Based Tele-Rehabilitation System for Frozen Shoulder Using a Machine Learning Approach. SSCI 2015: 811-815 - 2014
- [c16]Worrawat Engchuan, Asawin Meechai, Sissades Tongsima, Jonathan H. Chan:
Cross-Platform Pathway Activity Transformation and Classification of Microarray Data. INNS-CIIS 2014: 139-148 - 2012
- [c15]Worrawat Engchuan, Jonathan Hoyin Chan:
Pathway-Based Multi-class Classification of Lung Cancer. ICONIP (5) 2012: 697-702 - [c14]Jonathan Hoyin Chan, Asawin Meechai, Chee Keong Kwoh:
Preface: Computational Systems-Biology and Bioinformatics. CSBio 2012: 1-3 - [c13]Jonathan H. Chan, Ah-Hwee Tan:
Preface: Trends in Natural and Machine Intelligence. INNS-WC 2012: 1-6 - [c12]Worrawat Engchuan, Jonathan Hoyin Chan:
Classification of Real and Pseudo pre-miRNAs in Plant Species. CSBio 2012: 17-23 - [c11]Preecha Patumcharoenpol, Jonathan Hoyin Chan, Asawin Meechai, Bairong Shen, Wanwipa Vongsangnak:
Bibliome Mining Platform and Application for Building Metabolic Interaction Network. CSBio 2012: 55-62 - 2011
- [c10]Stephanus Daniel Handoko, Chee Keong Kwoh, Yew-Soon Ong, Jonathan H. Chan:
Classification-assisted memetic algorithms for solving optimization problems with restricted equality constraint function mapping. IEEE Congress on Evolutionary Computation 2011: 1209-1216 - [c9]Pitak Sootanan, Asawin Meechai, Santitham Prom-on, Jonathan Hoyin Chan:
Pathway-Based Microarray Analysis with Negatively Correlated Feature Sets for Disease Classification. ICONIP (1) 2011: 676-683 - [c8]Jonathan Hoyin Chan, Pitak Sootanan, Ponlavit Larpeampaisarl:
Feature selection of pathway markers for microarray-based disease classification using negatively correlated feature sets. IJCNN 2011: 3293-3299 - 2010
- [c7]Sattara Hattirat, Chumpol Ngamphiw, Anunchai Assawamakin, Jonathan H. Chan, Sissades Tongsima:
Catalog of Genetic Variations (SNPs and CNVs) and Analysis Tools for Thai Genetic Studies. CSBio 2010: 130-140 - [c6]Pitak Sootanan, Santitham Prom-on, Asawin Meechai, Jonathan Hoyin Chan:
Microarray-Based Disease Classification Using Pathway Activities with Negatively Correlated Feature Sets. ICONIP (2) 2010: 250-258 - 2009
- [c5]Atthawut Chanthaphan, Santitham Prom-on, Asawin Meechai, Jonathan Hoyin Chan:
Identifying Functional Modules Using MST-Based Weighted Gene Co-Expression Networks. BIBE 2009: 192-199 - [c4]Pitak Sootanan, Santitham Prom-on, Asawin Meechai, Jonathan Hoyin Chan:
Pathway Activity Inferences with Negatively Correlated Features for Pancreatic Cancer Classification. BMEI 2009: 1-5 - 2008
- [c3]Santitham Prom-on, Jonathan Hoyin Chan, Asawin Meechai, Wallaya Jongjaroenprasert, Boonsong Ongphiphadhanakul:
Identifying Disease Susceptible DNA Regions Using Underlying Odds Ratio Contour Analysis. BIOTECHNO 2008: 13-16 - [c2]Thammakorn Saethang, Santitham Prom-on, Asawin Meechai, Jonathan Hoyin Chan:
Sample Filtering Relief Algorithm: Robust Algorithm for Feature Selection. ICONIP (2) 2008: 260-267 - 2006
- [c1]Jarukit Lertbantanawong, Jonathan H. Chan:
A Systematic Statistical Process for Microarray Data Analysis: Countering the Limitations in the Public Data Sets. CIBCB 2006: 1-8
Editorship
- 2020
- [e11]Haiqin Yang, Kitsuchart Pasupa, Andrew Chi-Sing Leung, James T. Kwok, Jonathan H. Chan, Irwin King:
Neural Information Processing - 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 18-22, 2020, Proceedings, Part IV. Communications in Computer and Information Science 1332, Springer 2020, ISBN 978-3-030-63819-1 [contents] - [e10]Haiqin Yang, Kitsuchart Pasupa, Andrew Chi-Sing Leung, James T. Kwok, Jonathan H. Chan, Irwin King:
Neural Information Processing - 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 18-22, 2020, Proceedings, Part V. Communications in Computer and Information Science 1333, Springer 2020, ISBN 978-3-030-63822-1 [contents] - [e9]Haiqin Yang, Kitsuchart Pasupa, Andrew Chi-Sing Leung, James T. Kwok, Jonathan H. Chan, Irwin King:
Neural Information Processing - 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 23-27, 2020, Proceedings, Part I. Lecture Notes in Computer Science 12532, Springer 2020, ISBN 978-3-030-63829-0 [contents] - [e8]Haiqin Yang, Kitsuchart Pasupa, Andrew Chi-Sing Leung, James T. Kwok, Jonathan H. Chan, Irwin King:
Neural Information Processing - 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 23-27, 2020, Proceedings, Part II. Lecture Notes in Computer Science 12533, Springer 2020, ISBN 978-3-030-63832-0 [contents] - [e7]Haiqin Yang, Kitsuchart Pasupa, Andrew Chi-Sing Leung, James T. Kwok, Jonathan H. Chan, Irwin King:
Neural Information Processing - 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 23-27, 2020, Proceedings, Part III. Lecture Notes in Computer Science 12534, Springer 2020, ISBN 978-3-030-63835-1 [contents] - 2016
- [e6]Kittichai Lavangnananda, Somnuk Phon-Amnuaisuk, Worrawat Engchuan, Jonathan H. Chan:
Intelligent and Evolutionary Systems - The 19th Asia Pacific Symposium, IES 2015, Bangkok, Thailand, November 2015, Proceedings. Springer 2016, ISBN 978-3-319-26999-3 [contents] - 2012
- [e5]Jonathan Hoyin Chan, Asawin Meechai, Chee Keong Kwoh:
Proceedings of the 3rd International Conference on Computational Systems-Biology and Bioinformatics, CSBio 2012, Bangkok, Thailand, October 3-5, 2012. Procedia Computer Science 11, Elsevier 2012 [contents] - [e4]Jonathan H. Chan, Ah-Hwee Tan:
Proceedings of the 3rd International Neural Network Society Winter Conference, INNS-WC 2012, Bangkok, Thailand, October 3-5, 2012. Procedia Computer Science 13, Elsevier 2012 [contents] - 2010
- [e3]Jonathan H. Chan, Yew-Soon Ong, Sung-Bae Cho:
Computational Systems-Biology and Bioinformatics - First International Conference, CSBio 2010, Bangkok, Thailand, November 3-5, 2010. Proceedings. Communications in Computer and Information Science 115, Springer 2010, ISBN 978-3-642-16749-2 [contents] - 2009
- [e2]Chi-Sing Leung, Minho Lee, Jonathan Hoyin Chan:
Neural Information Processing, 16th International Conference, ICONIP 2009, Bangkok, Thailand, December 1-5, 2009, Proceedings, Part I. Lecture Notes in Computer Science 5863, Springer 2009, ISBN 978-3-642-10676-7 [contents] - [e1]Chi-Sing Leung, Minho Lee, Jonathan Hoyin Chan:
Neural Information Processing, 16th International Conference, ICONIP 2009, Bangkok, Thailand, December 1-5, 2009, Proceedings, Part II. Lecture Notes in Computer Science 5864, Springer 2009, ISBN 978-3-642-10682-8 [contents]
Informal and Other Publications
- 2024
- [i8]Kaung Myat Kyaw, Jonathan Hoyin Chan:
A Framework for Synthetic Audio Conversations Generation using Large Language Models. CoRR abs/2409.00946 (2024) - 2023
- [i7]Ziaullah Momand, Debajyoti Pal, Pornchai Mongkolnam, Jonathan H. Chan:
A Machine Learning Approach to Detect Dehydration in Afghan Children. CoRR abs/2305.13275 (2023) - [i6]Ziaullah Momand, Jonathan H. Chan, Pornchai Mongkolnam:
Immersive Technologies in Virtual Companions: A Systematic Literature Review. CoRR abs/2309.01214 (2023) - [i5]Wen Tao Mo, Jonathan H. Chan:
Predicting Three Types of Freezing of Gait Events Using Deep Learning Models. CoRR abs/2310.06322 (2023) - [i4]Weixu Zhang, Yifei Wang, Yuanfeng Song, Victor Junqiu Wei, Yuxing Tian, Yiyan Qi, Jonathan H. Chan, Raymond Chi-Wing Wong, Haiqin Yang:
Natural Language Interfaces for Tabular Data Querying and Visualization: A Survey. CoRR abs/2310.17894 (2023) - 2022
- [i3]Sakdipat Ontoum, Jonathan H. Chan:
Personality Type Based on Myers-Briggs Type Indicator with Text Posting Style by using Traditional and Deep Learning. CoRR abs/2201.08717 (2022) - [i2]Abhishek Dey, Debayan Goswami, Rahul Roy, Susmita Ghosh, Yu Shrike Zhang, Jonathan H. Chan:
Mutual Information and Ensemble Based Feature Recommender for Renal Cancer Stage Classification. CoRR abs/2209.13836 (2022) - 2021
- [i1]Debasrita Chakraborty, Debayan Goswami, Susmita Ghosh, Ashish Ghosh, Jonathan H. Chan:
Combination of Transfer Learning, Recursive Learning and Ensemble Learning for Multi-Day Ahead COVID-19 Cases Prediction in India using Gated Recurrent Unit Networks. CoRR abs/2108.09131 (2021)
Coauthor Index
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last updated on 2024-10-23 21:23 CEST by the dblp team
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