Jong Cheol Jeong

Orcid: 0000-0002-5024-2927

According to our database1, Jong Cheol Jeong authored at least 15 papers between 2006 and 2022.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2022
Local data commons: the sleeping beauty in the community of data commons.
BMC Bioinform., December, 2022

2021
Privacy-Preserving Deep Learning NLP Models for Cancer Registries.
IEEE Trans. Emerg. Top. Comput., 2021

2019
Deep Transfer Learning Across Cancer Registries for Information Extraction from Pathology Reports.
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019

2016
GOAL: the comprehensive gene ontology analysis layer.
Sci. China Inf. Sci., 2016

2015
A New Semantic Functional Similarity over Gene Ontology.
IEEE ACM Trans. Comput. Biol. Bioinform., 2015

2014
ST-analyzer: A web-based user interface for simulation trajectory analysis.
J. Comput. Chem., 2014

2013
New Methodology for Measuring Semantic Functional Similarity Based on Bidirectional Integration.
PhD thesis, 2013

Evaluating topology-based metrics for GO term similarity measures.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

2011
On Position-Specific Scoring Matrix for Protein Function Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2011

KUPS: constructing datasets of interacting and non-interacting protein pairs with associated attributions.
Nucleic Acids Res., 2011

2009
Sequence-based prediction of protein interaction sites with an integrative method.
Bioinform., 2009

2007
Enhanced recursive feature elimination.
Proceedings of the Sixth International Conference on Machine Learning and Applications, 2007

Minimum reference set based feature selection for small sample classifications.
Proceedings of the Machine Learning, 2007

A New Feature Selection Method for Improving the Precision of Diagnosing Abnormal Protein Sequences by Support Vector Machine and Vectorization Method.
Proceedings of the Adaptive and Natural Computing Algorithms, 8th International Conference, 2007

2006
A New Approach for Finding an Optimal Solution and Regularization by Learning Dynamic Momentum.
Proceedings of the Artificial Intelligence and Soft Computing, 2006


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