Tsung-Ting Kuo

According to our database1, Tsung-Ting Kuo authored at least 44 papers between 2003 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

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

2020
Privacy-preserving model learning on a blockchain network-of-networks.
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
Comparison of blockchain platforms: a systematic review and healthcare examples.
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

Comparison of Smart Contract Blockchains for Healthcare Applications.
Proceedings of the AMIA 2019, 2019

Current Applications of Blockchain Technology in Biomedical Research and Healthcare.
Proceedings of the AMIA 2019, 2019

2018
Opinion Diffusion and Analysis on Social Networks.
Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

Identifying and characterizing highly similar notes in big clinical note datasets.
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
bioPDFX: preparing PDF scientific articles for biomedical text mining.
PeerJ Prepr., 2017

Blockchain distributed ledger technologies for biomedical and health care applications.
J. Am. Medical Informatics Assoc., 2017

Deduplication in a massive clinical note dataset.
CoRR, 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

The presence of highly similar notes within the MIMIC-III dataset.
Proceedings of the AMIA 2017, 2017

2016
Enriching Cold Start Personalized Language Model Using Social Network Information.
Int. J. Comput. Linguistics Chin. Lang. Process., 2016

Erratum to: Weakly supervised learning of biomedical information extraction from curated data.
BMC Bioinform., 2016

Weakly supervised learning of biomedical information extraction from curated data.
BMC Bioinform., 2016

Ensembles of NLP Tools for Data Element Extraction from Clinical Notes.
Proceedings of the AMIA 2016, 2016

Review and Evaluation of the State of Standardization of Computable Phenotype.
Proceedings of the AMIA 2016, 2016

2014
Opinion Diffusion and Analysis on Social Networks.
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

A Content-Based Matrix Factorization Model for Recipe Recommendation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Minimizing expected loss for risk-avoiding reinforcement learning.
Proceedings of the International Conference on Data Science and Advanced Analytics, 2014

2013
Modeling and evaluating information propagation in a microblogging social network.
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


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

Prediction-based outlier detection with explanations.
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

Time-Aware Ranking in Dynamic Citation Networks.
Proceedings of the Data Mining Workshops (ICDMW), 2011

2010
Discovering Correction Rules for Auto Editing.
Int. J. Comput. Linguistics Chin. Lang. Process., 2010

SocioCrowd: a social-network-based framework for crowd simulation.
Proceedings of the International Conference on Computer Graphics and Interactive Techniques, 2010

Identifying Correction Rules for Auto Editing.
Proceedings of the 22th Conference on Computational Linguistics and Speech Processing, 2010

Designing, Analyzing and Exploiting Stake-Based Social Networks.
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
Ontology-Based Knowledge Fusion Framework Using Graph Partitioning.
Proceedings of the Developments in Applied Artificial Intelligence, 2003


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