Comparison of crisp and fuzzy character neural networks in handwritten word recognition. - Paul D. Gader; Magdi A. Mohamed; Jung-Hsien Chiang (IEEE Trans. Fuzzy Syst., 1995)

A hybrid feature extraction framework for handwritten numeric fields recognition. - Jung-Hsien Chiang; Paul D. Gader (ICPR, 1996)

Neural and Fuzzy Methods in Handwriting Recognition. - Paul D. Gader; James M. Keller; Raghu Krishnapuram; Jung-Hsien Chiang; Magdi A. Mohamed (Computer, 1997)

Recognition of handprinted numerals in VISA® card application forms. - Jung-Hsien Chiang; Paul D. Gader (Mach. Vis. Appl., 1997)

Hybrid fuzzy-neural systems in handwritten word recognition. - Jung-Hsien Chiang; Paul D. Gader (IEEE Trans. Fuzzy Syst., 1997)

Handwritten word recognition with character and inter-character neural networks. - Paul D. Gader; Magdi A. Mohamed; Jung-Hsien Chiang (IEEE Trans. Syst. Man Cybern. Part B, 1997)

A hybrid neural network model in handwritten word recognition. - Jung-Hsien Chiang (Neural Networks, 1998)

A Fuzzy Route Guidance Model for Intelligent In-Vehicle Navigation Systems. - Jung-Hsien Chiang (Int. J. Artif. Intell. Tools, 1999)

Network-based decision making via generalized fuzzy integral operators. - Jung-Hsien Chiang (Int. J. Intell. Syst., 1999)

Choquet fuzzy integral-based hierarchical networks for decision analysis. - Jung-Hsien Chiang (IEEE Trans. Fuzzy Syst., 1999)

Author's reply. - Jung-Hsien Chiang (IEEE Trans. Fuzzy Syst., 1999)

Comments on "Choquet fuzzy integral-based hierarchical networks for decision analysis" [and reply]. - Ali Koksal Hocaoglu; Paul D. Gader; Jung-Hsien Chiang (IEEE Trans. Fuzzy Syst., 1999)

Aggregating membership values by a Choquet-fuzzy-integral based operator. - Jung-Hsien Chiang (Fuzzy Sets Syst., 2000)

Learning Decision Functions in Fuzzy g-Models. - Jung-Hsien Chiang; Yau-Hwang Kuo (Int. J. Artif. Intell. Tools, 2000)

Hierarchical Fuzzy-KNN Networks for News Documents Categorization. - Jung-Hsien Chiang; Yan-Chang Chen (FUZZ-IEEE, 2001)

基於階層式類神經網路之自動新聞文件分類方法 (Hierarchical Neural Networks for Automatic News Document Categorization) [In Chinese]. - Yan-Cheng Chen; Jung-Hsien Chiang (ROCLING, 2001)

An Adaptive Fuzzy Clustering Technique for Traffic Prediction of Packet-switched Networks. - Yau-Hwang Kuo; Mong-Fong Horng; Jung-Hsien Chiang (J. Adv. Comput. Intell. Intell. Informatics, 2001)

Incorporating fuzzy operators in the decision network to improve classification reliability. - Jung-Hsien Chiang; Yan-Cheng Chen (Comput. Electr. Eng., 2002)

A fuzzy model of support vector machine regression. - Pei-Yi Hao; Jung-Hsien Chiang (FUZZ-IEEE, 2003)

MeKE: Discovering the Functions of Gene Products from Biomedical Literature Via Sentence Alignment. - Jung-Hsien Chiang; Hsu-Chun Yu (Bioinform., 2003)

A new kernel-based fuzzy clustering approach: support vector clustering with cell growing. - Jung-Hsien Chiang; Pei-Yi Hao (IEEE Trans. Fuzzy Syst., 2003)

Discovering gene-gene relations from fuzzy sequential sentence patterns in biomedical literature. - Jung-Hsien Chiang; Zong-Xian Yin; Cheng-Yu Chen (FUZZ-IEEE, 2004)

GIS: a biomedical text-mining system for gene information discovery. - Jung-Hsien Chiang; Hsu-Chun Yu; Huai-Jen Hsu (Bioinform., 2004)

An intelligent news recommender agent for filtering and categorizing large volumes of text corpus. - Jung-Hsien Chiang; Yan-Cheng Chen (Int. J. Intell. Syst., 2004)

Support vector learning mechanism for fuzzy rule-based modeling: a new approach. - Jung-Hsien Chiang; Pei-Yi Hao (IEEE Trans. Fuzzy Syst., 2004)

A new fuzzy cover approach to clustering. - Jung-Hsien Chiang; Shihong Yue; Zong-Xian Yin (IEEE Trans. Fuzzy Syst., 2004)

Literature Extraction of Protein Functions Using Sentence Pattern Mining. - Jung-Hsien Chiang; Hsu-Chun Yu (IEEE Trans. Knowl. Data Eng., 2005)

GeneLibrarian: an effective gene-information summarization and visualization system. - Jung-Hsien Chiang; Jyh-Wei Shin; Heng-Hui Liu; Chong-Liang Chin (BMC Bioinform., 2006)

Pruning and Model-selecting Algorithms in the Rbf Frameworks Constructed by Support Vector Learning. - Pei-Yi Hao; Jung-Hsien Chiang (Int. J. Neural Syst., 2006)

Patterns Discovery on Complex Diagnosis and Biological Data Using Fuzzy Latent Variables. - Zong-Xian Yin; Jung-Hsien Chiang (ICDE, 2007)

Modeling human cancer-related regulatory modules by GA-RNN hybrid algorithms. - Jung-Hsien Chiang; Shih-Yi Chao (BMC Bioinform., 2007)

Discovering gene-gene relations from sequential sentence patterns in biomedical literature. - Jung-Hsien Chiang; Hsiao-Sheng Liu; Shih-Yi Chao; Cheng-Yu Chen (Expert Syst. Appl., 2007)

Hierarchically SVM classification based on support vector clustering method and its application to document categorization. - Pei-Yi Hao; Jung-Hsien Chiang; Yi-Kun Tu (Expert Syst. Appl., 2007)

Unsupervised minor prototype detection using an adaptive population partitioning algorithm. - Jung-Hsien Chiang; Zong-Xian Yin (Pattern Recognit., 2007)

Similar genes discovery system (SGDS): Application for predicting possible pathways by using GO semantic similarity measure. - Jung-Hsien Chiang; Shing-Hua Ho; Wen-Hung Wang (Expert Syst. Appl., 2008)

Novel Algorithm for Coexpression Detection in Time-Varying Microarray Data Sets. - Zong-Xian Yin; Jung-Hsien Chiang (IEEE ACM Trans. Comput. Biol. Bioinform., 2008)

In Silico Prediction of Human Protein Interactions Using Fuzzy-SVM Mixture Models and Its Application to Cancer Research. - Jung-Hsien Chiang; Tsung-Lu Michael Lee (IEEE Trans. Fuzzy Syst., 2008)

Fuzzy Regression Analysis by Support Vector Learning Approach. - Pei-Yi Hao; Jung-Hsien Chiang (IEEE Trans. Fuzzy Syst., 2008)

Ontology-Based Intelligent Web Mining Agent for Taiwan Travel. - Yung-Chun Chang; Pei-Ching Yang; Jung-Hsien Chiang (Web Intelligence/IAT Workshops, 2009)

A new maximal-margin spherical-structured multi-class support vector machine. - Pei-Yi Hao; Jung-Hsien Chiang; Yen-Hsiu Lin (Appl. Intell., 2009)

Prediction of subcelluar localization using maximal-margin spherical support vector machine. - Wei-Ming Chen; I-Lin Wu; Jung-Hsien Chiang; Pei-Yi Hao (ICMLC, 2010)

Automated evaluation of electronic discharge notes to assess quality of care for cardiovascular diseases using Medical Language Extraction and Encoding System (MedLEE). - Jung-Hsien Chiang; Jou-Wei Lin; Chen-Wei Yang (J. Am. Medical Informatics Assoc., 2010)

Condensing biomedical journal texts through paragraph ranking. - Jung-Hsien Chiang; Heng-Hui Liu; Yi-Ting Huang (Bioinform., 2011)

AutoBind: automatic extraction of protein-ligand-binding affinity data from biological literature. - Darby Tien-Hao Chang; Chao-Hsuan Ke; Jung-Hsin Lin; Jung-Hsien Chiang (Bioinform., 2012)

A Systems Biology Approach to Solving the Puzzle of Unknown Genomic Gene-Function Association Using Grid-Ready SVM Committee Machines. - Tsung-Lu Michael Lee; Jung-Hsien Chiang (IEEE Comput. Intell. Mag., 2012)

PhosphoChain: a novel algorithm to predict kinase and phosphatase networks from high-throughput expression data. - Wei-Ming Chen; Samuel A. Danziger; Jung-Hsien Chiang; John D. Aitchison (Bioinform., 2013)

CGPredictor: a systematic integrated analytic tool for mining and examining genome-scale cancer independent prognostic epigenetic marker panels. - Wan-Shu Cheng; Jung-Hsien Chiang (BMC Syst. Biol., 2013)

Portable Assessment of Emotional Status and Support System. - Pei-Ching Yang; Chia-Chi Chang; Yen-Lin Chen; Jung-Hsien Chiang; Galen Chin-Lun Hung (HIS, 2014)

Overview of the gene ontology task at BioCreative IV. - Yuqing Mao; Kimberly Van Auken; Donghui Li; Cecilia N. Arighi; Peter McQuilton; G. Thomas Hayman; Susan Tweedie; Mary L. Schaeffer; Stanley J. F. Laulederkind; Shur-Jen Wang; Julien Gobeill; Patrick Ruch; et al. (Database J. Biol. Databases Curation, 2014)

NCS: incorporating positioning data to quantify nucleosome stability in yeast. - Jung-Hsien Chiang; Chan-Hsien Lin (Bioinform., 2014)

Discovering novel protein-protein interactions by measuring the protein semantic similarity from the biomedical literature. - Jung-Hsien Chiang; Jiun-Huang Ju (J. Bioinform. Comput. Biol., 2014)

Pattern analysis in daily physical activity data for personal health management. - Jung-Hsien Chiang; Pei-Ching Yang; Hsuan Tu (Pervasive Mob. Comput., 2014)

iDianNao: Recommending Volunteer Opportunities to Older Adults. - Wen-Chieh Fang; Pei-Ching Yang; Meng-Che Hsieh; Jung-Hsien Chiang (IEA/AIE, 2015)

Life Record: A Smartphone-Based Daily Activity Monitoring System. - Pei-Ching Yang; Shiang-Chiuan Su; I-Lin Wu; Jung-Hsien Chiang (ICSI (2), 2015)

Condensedly: comprehending article contents through condensed texts. - Chao-Hsuan Ke; Tsung-Lu Michael Lee; Jung-Hsien Chiang (CoRR, 2016)

A Smartphone-Based Personalized Activity Recommender System for Patients with Depression. - Galen Chin-Lun Hung; Pei-Ching Yang; Chen-Yi Wang; Jung-Hsien Chiang (EAI Endorsed Trans. Cogn. Commun., 2016)

Literature-based discovery of new candidates for drug repurposing. - Hsih-te Yang; Jiun-Huang Ju; Yue-Ting Wong; Ilya Shmulevich; Jung-Hsien Chiang (Briefings Bioinform., 2017)

Cateye: A Hint-Enabled Search Engine Framework for Biomedical Classification Systems. - Chia-Jung Yang; Jung-Hsien Chiang (ICS, 2018)

Using Heterogeneous Social Media as Auxiliary Information to Improve Hotel Recommendation Performance. - Jui-Hung Chang; Chen-En Tsai; Jung-Hsien Chiang (IEEE Access, 2018)

Gene ontology concept recognition using named concept: understanding the various presentations of the gene functions in biomedical literature. - Chia-Jung Yang; Jung-Hsien Chiang (Database J. Biol. Databases Curation, 2018)

FuzzAttention on Session-based Recommender System. - Chi-Shiang Wang; Jung-Hsien Chiang (FUZZ-IEEE, 2019)

Discovering What You Cared by Intelligent Recommender System. - Chi-Shiang Wang; Hung-Chun Chne; Jung-Hsien Chiang (TAAI, 2019)

Real-time event embedding for POI recommendation. - Pei-Yi Hao; Weng-Hang Cheang; Jung-Hsien Chiang (Neurocomputing, 2019)

Data-Driven Generation of Medical-Research Hypotheses in Cancer Patients. - Hsin-Hsiung Chang; Jung-Hsien Chiang; Cheng-Chung Chu (COMPSAC, 2021)

Precise uncertain significance prediction using latent space matrix factorization models: genomics variant and heterogeneous clinical data-driven approaches. - Sina Abdollahi; Peng-Chan Lin; Meng-Ru Shen; Jung-Hsien Chiang (Briefings Bioinform., 2021)

CUAB: Convolutional Uncertainty Attention Block Enhanced the Chest X-ray Image Analysis. - Chi-Shiang Wang; Fang-Yi Su; Tsung-Lu Michael Lee; Yi-Shan Tsai; Jung-Hsien Chiang (CoRR, 2021)

A Deep Learning Based Workflow for Detection of Lung Nodules With Chest Radiograph. - Yang Tai; Yu-Wen Fang; Fang-Yi Su; Jung-Hsien Chiang (CoRR, 2021)

TDD-BPR: The topic diversity discovering on Bayesian personalized ranking for personalized recommender system. - Chi-Shiang Wang; Bo-Syun Chen; Jung-Hsien Chiang (Neurocomputing, 2021)

WinBinVec: Cancer-Associated Protein-Protein Interaction Extraction and Identification of 20 Various Cancer Types and Metastasis Using Different Deep Learning Models. - Sina Abdollahi; Peng-Chan Lin; Jung-Hsien Chiang (IEEE J. Biomed. Health Informatics, 2021)

COVID-19 Deep Clustering: An Ontology construction clustering method with dynamic medical labeling. - Cong-Phuoc Phan; Jung-Hsien Chiang (SoICT, 2022)

MedCheX: An Efficient COVID-19 Detection Model for Clinical Usage. - Chi-Shiang Wang; Fang-Yi Su; Jung-Hsien Chiang (J. Inf. Sci. Eng., 2022)

Possibilistic classification by support vector networks. - Pei-Yi Hao; Jung-Hsien Chiang; Yu-De Chen (Neural Networks, 2022)

DiaDeL: An Accurate Deep Learning-Based Model With Mutational Signatures for Predicting Metastasis Stage and Cancer Types. - Sina Abdollahi; Peng-Chan Lin; Jung-Hsien Chiang (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

An Adaptive, Context-Aware, and Stacked Attention Network-Based Recommendation System to Capture Users' Temporal Preference. - Jung-Hsien Chiang; Chung-Yao Ma; Chi-Shiang Wang; Pei-Yi Hao (IEEE Trans. Knowl. Data Eng., 2023)

The overview of the BioRED (Biomedical Relation Extraction Dataset) track at BioCreative VIII. - Rezarta Islamaj; Po-Ting Lai; Chih-Hsuan Wei; Ling Luo 001; Tiago Melo Almeida; Richard A. A. Jonker; Sofia I R. Conceição; Diana F. Sousa; Cong-Phuoc Phan; Jung-Hsien Chiang; Jiru Li; Dinghao Pan; et al. (Database J. Biol. Databases Curation, 2024)

Optimized biomedical entity relation extraction method with data augmentation and classification using GPT-4 and Gemini. - Cong-Phuoc Phan; Ben Phan; Jung-Hsien Chiang (Database J. Biol. Databases Curation, 2024)

DiffuCE: Expert-Level CBCT Image Enhancement Using a Novel Conditional Denoising Diffusion Model with Latent Alignment. - Fang-Yi Su; Tzu-Hung Chang; Jung-Hsien Chiang (WACV, 2025)

CAS: enhancing implicit constrained data augmentation with semantic enrichment for biomedical relation extraction and beyond. - Fang-Yi Su; Gia-Han Ngo; Ben Phan; Jung-Hsien Chiang (Database J. Biol. Databases Curation, 2025)

Debiasing Diffusion Model: Enhancing Fairness through Latent Representation Learning in Stable Diffusion Model. - Lin-Chun Huang; Ching Chieh Tsao; Fang-Yi Su; Jung-Hsien Chiang (CoRR, 2025)

SGD-Mix: Enhancing Domain-Specific Image Classification with Label-Preserving Data Augmentation. - Yixuan Dong; Fang-Yi Su; Jung-Hsien Chiang (CoRR, 2025)