Tsung-Ting Kuo

发表

Time-Aware Ranking in Dynamic Citation Networks

Shou-De Lin, Kristina Lerman, Rumi Ghosh, 2011, 2011 IEEE 11th International Conference on Data Mining Workshops.

利用機器學習於中文法律文件之標記、案件分類及量刑預測 (Exploiting Machine Learning Models for Chinese Legal Documents Labeling, Case Classification, and Sentencing Prediction) [In Chinese]

Tsung-Ting Kuo, Wan-Chen Lin, Tung-Jia Chang, 2012, Coling 2012.

Novel Topic Diffusion Prediction using Latent Semantic and User Behavior

Shou-De Lin, San-Chuan Hung, Tsung-Ting Kuo, 2015, ASE BD&SI.

Current Applications of Blockchain Technology in Biomedical Research and Healthcare

Lucila Ohno-Machado, Amar Das, Tsung-Ting Kuo, 2019, AMIA.

Erratum to: Weakly supervised learning of biomedical information extraction from curated data

Chun-Nan Hsu, Gordon Lin, Tsung-Ting Kuo, 2016, BMC Bioinformatics.

A Linear Ensemble of Individual and Blended Models for Music Rating Prediction

Shou-De Lin, Chun-Liang Li, Hsuan-Tien Lin, 2012, KDD Cup.

Comparison of blockchain platforms: a systematic review and healthcare examples

Tsung-Ting Kuo, Hugo Zavaleta Rojas, Lucila Ohno-Machado, 2019, J. Am. Medical Informatics Assoc..

Ensembles of NLP Tools for Data Element Extraction from Clinical Notes

Son Doan, Lucila Ohno-Machado, Chun-Nan Hsu, 2016, AMIA.

Proceedings of the 2014 International Conference on Data Science and Advanced Analytics (DSAA 2014)

Alexandre Termier, Shou-De Lin, Eric Gaussier, 2014 .

Learning-based concept-hierarchy refinement through exploiting topology, content and social information

Shou-De Lin, Tsung-Ting Kuo, Shou-de Lin, 2011, Inf. Sci..

Learning to improve area-under-FROC for imbalanced medical data classification using an ensemble method

Shou-De Lin, Wei-Chi Lai, Chun-Min Chang, 2008, SKDD.

bioPDFX: preparing PDF scientific articles for biomedical text mining

Chun-Nan Hsu, Gordon Lin, Ankit Goyal, 2017, PeerJ Prepr..

Blockchain distributed ledger technologies for biomedical and health care applications

Hyeon-Eui Kim, Tsung-Ting Kuo, Lucila Ohno-Machado, 2017, J. Am. Medical Informatics Assoc..

Comparison of Smart Contract Blockchains for Healthcare Applications

Tsung-Ting Kuo, Hongru Yu, Haiyang Sun, 2019, AMIA.

iDASH secure genome analysis competition 2018: blockchain genomic data access logging, homomorphic encryption on GWAS, and DNA segment searching

Xiaoqian Jiang, Lucila Ohno-Machado, Lei Wang, 2020, BMC Medical Genomics.

The anatomy of a distributed predictive modeling framework: online learning, blockchain network, and consensus algorithm

Tsung-Ting Kuo, Tsung-Ting Kuo, 2020, JAMIA open.

An Ensemble of Three Classifiers for KDD Cup 2009: Expanded Linear Model, Heterogeneous Boosting, and Selective Naive Bayes

Shou-De Lin, Hsuan-Tien Lin, Chih-Jen Lin, 2009, KDD Cup.

Identifying Correction Rules for Auto Editing

Shou-De Lin, Tsung-Ting Kuo, Ying-Chun Lai, 2010, ROCLING.

The presence of highly similar notes within the MIMIC-III dataset

Chun-Nan Hsu, Julian J. McAuley, Rodney A. Gabriel, 2017, AMIA.

Privacy-preserving model learning on a blockchain network-of-networks

Jihoon Kim, Rodney A Gabriel, Tsung-Ting Kuo, 2020, J. Am. Medical Informatics Assoc..

Assessing the Quality of Diffusion Models Using Real-World Social Network Data

Shou-De Lin, Ting-Chun Peng, San-Chuan Hung, 2011, 2011 International Conference on Technologies and Applications of Artificial Intelligence.

A Collaborative Filtering-Based Two Stage Model with Item Dependency for Course Recommendation

Shou-De Lin, Tsung-Ting Kuo, Eric L. Lee, 2017, 2017 IEEE International Conference on Data Science and Advanced Analytics (DSAA).

Opinion Diffusion and Analysis on Social Networks

Shou-De Lin, Cheng-Te Li, Hsun-Ping Hsieh, 2014, Encyclopedia of Social Network Analysis and Mining.

ModelChain: Decentralized Privacy-Preserving Healthcare Predictive Modeling Framework on Private Blockchain Networks pdf

Lucila Ohno-Machado, Tsung-Ting Kuo, L. Ohno-Machado, 2018, ArXiv.

Identifying and characterizing highly similar notes in big clinical note datasets

Chun-Nan Hsu, Julian J. McAuley, Rodney A. Gabriel, 2018, J. Biomed. Informatics.

Exploiting Temporal Information in a Two-Stage Classification Framework for Content-Based Depression Detection

Shou-De Lin, Tsung-Ting Kuo, Yu-Chun Shen, 2013, PAKDD.

Deduplication in a massive clinical note dataset pdf

Chun-Nan Hsu, Julian J. McAuley, Rodney A. Gabriel, 2017, ArXiv.

Exploiting Machine Learning Models for Chinese Legal Documents Labeling, Case Classification, and Sentencing Prediction

Shou-De Lin, Tsung-Ting Kuo, Wan-Chen Lin, 2012, Int. J. Comput. Linguistics Chin. Lang. Process..

Exploiting Latent Information to Predict Diffusions of Novel Topics on Social Networks

Shou-De Lin, Nanyun Peng, Wei-Fen Lin, 2012, ACL.

The Impact of Automatic Pre-annotation in Clinical Note Data Element Extraction - the CLEAN Tool pdf

Jihoon Kim, Lucila Ohno-Machado, Jina Huh, 2018, ArXiv.

Review and Evaluation of the State of Standardization of Computable Phenotype

Hyeon-Eui Kim, Chun-Nan Hsu, Stephanie Feudjio Feupe, 2016, AMIA.

StakeNet: Devise, Study and Utilize Social Networks Using Stakeholder Information

Shou-De Lin, Tsung-Ting Kuo, Chia-Jen Lin, 2010, 2010 International Conference on Technologies and Applications of Artificial Intelligence.

A Content-Based Matrix Factorization Model for Recipe Recommendation

Shou-De Lin, Tsung-Ting Kuo, Chia-Jen Lin, 2014, PAKDD.

Designing, Analyzing and Exploiting Stake-Based Social Networks

Shou-De Lin, Chih-Jen Lin, Tsung-Ting Kuo, 2010, 2010 International Conference on Advances in Social Networks Analysis and Mining.

Novel Models and Ensemble Techniques to Discriminate Favorite Items from Unrated Ones for Personalized Music Recommendation

Shou-De Lin, Chun-Liang Li, Hsuan-Tien Lin, 2012, KDD Cup.

Feature Engineering and Classifier Ensemble for KDD Cup 2010

Shou-De Lin, Hsuan-Tien Lin, Chia-Hua Ho, 2010, KDD 2010.

A Transfer-Learning Approach to Exploit Noisy Information for Classification and Its Application on Sentiment Detection

Yu-Yang Huang, Shou-De Lin, Wan-Chen Lu, 2014, TAAI.

Sixth International Joint Conference on Natural Language Processing, IJCNLP 2013, Nagoya, Japan, October 14-18, 2013

Wen-Tai Hsieh, Yu-Hsuan Cheng, Seng-cho T. Chou, 2013, IJCNLP.

Modeling and evaluating information propagation in a microblogging social network

Shou-De Lin, Cheng-Te Li, San-Chuan Hung, 2012, Social Network Analysis and Mining.

SocioCrowd: a social-network-based framework for crowd simulation

Shou-De Lin, Cheng-Te Li, Hsun-Ping Hsieh, 2010, SIGGRAPH '10.

Ontology-Based Knowledge Fusion Framework Using Graph Partitioning

Shian-Shyong Tseng, Yao-Tsung Lin, Tsung-Ting Kuo, 2003, IEA/AIE.

Weakly supervised learning of biomedical information extraction from curated data

Chun-Nan Hsu, Gordon Lin, Tsung-Ting Kuo, 2016, BMC Bioinformatics.

Opinion Diffusion and Analysis on Social Networks

Shou-De Lin, Cheng-Te Li, Hsun-Ping Hsieh, 2018, Encyclopedia of Social Network Analysis and Mining. 2nd Ed..

Discovering Correction Rules for Auto Editing

Shou-De Lin, Tsung-Ting Kuo, Ying-Chun Lai, 2010, Int. J. Comput. Linguistics Chin. Lang. Process..

Prediction-based outlier detection with explanations

Shou-De Lin, Wei-Chi Lai, Chi-Hung Tsai, 2012, 2012 IEEE International Conference on Granular Computing.

Lucila Ohno-Machado, Chun-Nan Hsu, Dina Demner-Fushman, 2016, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.

EXpectation Propagation LOgistic REgRession on permissioned blockCHAIN (ExplorerChain): decentralized online healthcare/genomics predictive model learning

Lucila Ohno-Machado, Rodney A Gabriel, Tsung-Ting Kuo, 2020, J. Am. Medical Informatics Assoc..

Enriching Cold Start Personalized Language Model Using Social Network Information

Yu-Yang Huang, Shou-De Lin, Rui Yan, 2014, ACL.

Unsupervised link prediction using aggregative statistics on heterogeneous social networks

Yu-Yang Huang, Shou-De Lin, Rui Yan, 2013, KDD.

Fair compute loads enabled by blockchain: sharing models by alternating client and server roles

Rodney A. Gabriel, Tsung-Ting Kuo, Lucila Ohno-Machado, 2019, J. Am. Medical Informatics Assoc..

Minimizing expected loss for risk-avoiding reinforcement learning

Shou-De Lin, William Chen, Tsung-Ting Kuo, 2014, 2014 International Conference on Data Science and Advanced Analytics (DSAA).

Predictive Analytics for Glaucoma using Data from the All of Us Research Program.

Lucila Ohno-Machado, Eric Boerwinkle, Tsung-Ting Kuo, 2021, American journal of ophthalmology.

Benchmarking blockchain-based gene-drug interaction data sharing methods: A case study from the iDASH 2019 secure genome analysis competition blockchain track

Lucila Ohno-Machado, Tsung-Ting Kuo, Yang Cao, 2021, Int. J. Medical Informatics.

Machine learning-based predictive modeling of surgical intervention in glaucoma using systemic data from electronic health records.

Robert N Weinreb, Tsung-Ting Kuo, Lucila Ohno-Machado, 2019, American journal of ophthalmology.

‘Fit-for-purpose?’ – challenges and opportunities for applications of blockchain technology in the future of healthcare

Kamal Obbad, Kevin A Clauson, Tsung-Ting Kuo, 2019, BMC Medicine.