Tsung-Ting Kuo
Orcid: 0000-0002-8728-4477
According to our database1,
Tsung-Ting Kuo
authored at least 58 papers
between 2003 and 2024.
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Bibliography
2024
Biomedical blockchain with practical implementations and quantitative evaluations: a systematic review.
J. Am. Medical Informatics Assoc., 2024
Early prediction of long hospital stay for Intensive Care units readmission patients using medication information.
Comput. Biol. Medicine, 2024
Distributed management of patient data-sharing informed consents for clinical research.
Comput. Biol. Medicine, 2024
2023
A hierarchical strategy to minimize privacy risk when linking "De-identified" data in biomedical research consortia.
J. Biomed. Informatics, March, 2023
Blockchain-enabled immutable, distributed, and highly available clinical research activity logging system for federated COVID-19 data analysis from multiple institutions.
J. Am. Medical Informatics Assoc., 2023
Quorum-based model learning on a blockchain hierarchical clinical research network using smart contracts.
Int. J. Medical Informatics, 2023
Editorial: Blockchain and distributed ledger technology - enabled architectures for improving healthcare.
Frontiers Blockchain, 2023
2022
The evolving privacy and security concerns for genomic data analysis and sharing as observed from the iDASH competition.
J. Am. Medical Informatics Assoc., 2022
Inf. Serv. Use, 2022
Int. J. Medical Informatics, 2022
COVID-19 Chest X-ray Image Clustering and Topic Modeling using Associated Publications.
Proceedings of the AMIA 2022, 2022
Existing and emerging privacy challenges and solutions for federated data coordination.
Proceedings of the AMIA 2022, 2022
2021
Previewable Contract-Based On-Chain X-Ray Image Sharing Framework for Clinical Research.
Int. J. Medical Informatics, 2021
Benchmarking blockchain-based gene-drug interaction data sharing methods: A case study from the iDASH 2019 secure genome analysis competition blockchain track.
Int. J. Medical Informatics, 2021
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
2020
J. Am. Medical Informatics Assoc., 2020
EXpectation Propagation LOgistic REgRession on permissioned blockCHAIN (ExplorerChain): decentralized online healthcare/genomics predictive model learning.
J. Am. Medical Informatics Assoc., 2020
2019
J. Am. Medical Informatics Assoc., 2019
Fair compute loads enabled by blockchain: sharing models by alternating client and server roles.
J. Am. Medical Informatics Assoc., 2019
Proceedings of the AMIA 2019, 2019
Proceedings of the AMIA 2019, 2019
2018
Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018
J. Biomed. Informatics, 2018
The Impact of Automatic Pre-annotation in Clinical Note Data Element Extraction - the CLEAN Tool.
CoRR, 2018
ModelChain: Decentralized Privacy-Preserving Healthcare Predictive Modeling Framework on Private Blockchain Networks.
CoRR, 2018
2017
PeerJ Prepr., 2017
Blockchain distributed ledger technologies for biomedical and health care applications.
J. Am. Medical Informatics Assoc., 2017
A Collaborative Filtering-Based Two Stage Model with Item Dependency for Course Recommendation.
Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017
Proceedings of the AMIA 2017, 2017
2016
Int. J. Comput. Linguistics Chin. Lang. Process., 2016
Erratum to: Weakly supervised learning of biomedical information extraction from curated data.
BMC Bioinform., 2016
BMC Bioinform., 2016
Proceedings of the AMIA 2016, 2016
Proceedings of the AMIA 2016, 2016
2015
Proceedings of the ASE BigData & SocialInformatics 2015, 2015
2014
Encyclopedia of Social Network Analysis and Mining, 2014
A Transfer-Learning Approach to Exploit Noisy Information for Classification and Its Application on Sentiment Detection.
Proceedings of the Technologies and Applications of Artificial Intelligence, 2014
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014
Proceedings of the International Conference on Data Science and Advanced Analytics, 2014
2013
Soc. Netw. Anal. Min., 2013
Exploiting Temporal Information in a Two-Stage Classification Framework for Content-Based Depression Detection.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013
Unsupervised link prediction using aggregative statistics on heterogeneous social networks.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013
2012
Novel Models and Ensemble Techniques to Discriminate Favorite Items from Unrated Ones for Personalized Music Recommendation.
Proceedings of KDD Cup 2011 competition, San Diego, CA, USA, 2011, 2012
Proceedings of KDD Cup 2011 competition, San Diego, CA, USA, 2011, 2012
Exploiting Machine Learning Models for Chinese Legal Documents Labeling, Case Classification, and Sentencing Prediction.
Int. J. Comput. Linguistics Chin. Lang. Process., 2012
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].
Proceedings of the 24th Conference on Computational Linguistics and Speech Processing, 2012
Proceedings of the 2012 IEEE International Conference on Granular Computing, 2012
Exploiting Latent Information to Predict Diffusions of Novel Topics on Social Networks.
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012
2011
Learning-based concept-hierarchy refinement through exploiting topology, content and social information.
Inf. Sci., 2011
Proceedings of the Data Mining Workshops (ICDMW), 2011
2010
Int. J. Comput. Linguistics Chin. Lang. Process., 2010
Proceedings of the International Conference on Computer Graphics and Interactive Techniques, 2010
Proceedings of the 22th Conference on Computational Linguistics and Speech Processing, 2010
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2010
2009
An Ensemble of Three Classifiers for KDD Cup 2009: Expanded Linear Model, Heterogeneous Boosting, and Selective Naive Bayes.
Proceedings of KDD-Cup 2009 competition, Paris, France, June 28, 2009, 2009
2008
Learning to improve area-under-FROC for imbalanced medical data classification using an ensemble method.
SIGKDD Explor., 2008
2003
Proceedings of the Developments in Applied Artificial Intelligence, 2003