Kyoung-Jae Won

According to our database, Kyoung-Jae Won authored at least 18 papers between 2004 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

ChatGPT and large language models in academia: opportunities and challenges.

Jesse G. Meyer, Ryan J. Urbanowicz, Patrick C. N. Martin, Karen O'Connor, Ruowang Li, Pei-Chen Peng, Tiffani J. Bright, Nicholas P. Tatonetti, Kyoung-Jae Won, Graciela Gonzalez-Hernandez, Jason H. Moore

BioData Min., January, 2023

2022

Regularization in Network Optimization via Trimmed Stochastic Gradient Descent With Noisy Label.

Kensuke Nakamura, Bong-Soo Sohn, Kyoung-Jae Won, Byung-Woo Hong

IEEE Access, 2022

Survey on unsupervised learning methods for optical flow estimation.

Tomislav Dobricki, Xiahai Zhuang, Kyoung-Jae Won, Byung-Woo Hong

Proceedings of the 13th International Conference on Information and Communication Technology Convergence, 2022

2021

VeTra: a tool for trajectory inference based on RNA velocity.

Guangzheng Weng, Junil Kim, Kyoung-Jae Won

Bioinform., 2021

2020

Processing Millions of Single Cells by SHARP.

Shibiao Wan, Junil Kim, Yiping Fan, Kyoung-Jae Won

Proceedings of the BCB '20: 11th ACM International Conference on Bioinformatics, 2020

2018

Defiant: (DMRs: easy, fast, identification and ANnoTation) identifies differentially Methylated regions from iron-deficient rat hippocampus.

David E. Condon, Phu V. Tran, Yu-Chin Lien, Jonathan Schug, Michael K. Georgieff, Rebecca A. Simmons, Kyoung-Jae Won

BMC Bioinform., 2018

2015

A Stationary Wavelet Entropy-Based Clustering Approach Accurately Predicts Gene Expression.

Nha Nguyen, An P. N. Vo, Inchan Choi, Kyoung-Jae Won

J. Comput. Biol., 2015

2014

A Wavelet Approach to Detect Enriched Regions and Explore Epigenomic Landscapes.

Nha Nguyen, An P. N. Vo, Kyoung-Jae Won

J. Comput. Biol., 2014

A wavelet-based method to exploit epigenomic language in the regulatory region.

Nha Nguyen, An P. N. Vo, Kyoung-Jae Won

Bioinform., 2014

Gaussian derivative wavelets identify dynamic changes in histone modification.

Nha Nguyen, Kyoung-Jae Won

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2014

2013

Evolving Fisher Kernels for Biological Sequence Classification.

Kyoung-Jae Won, Craig Saunders, Adam Prügel-Bennett

Evol. Comput., 2013

2008

Prediction of regulatory elements in mammalian genomes using chromatin signatures.

Kyoung-Jae Won, Iouri Chepelev, Bing Ren, Wei Wang

BMC Bioinform., 2008

Modeling promoter grammars with evolving hidden Markov models.

Kyoung-Jae Won, Albin Sandelin, Troels Torben Marstrand, Anders Krogh

Bioinform., 2008

2007

An evolutionary method for learning HMM structure: prediction of protein secondary structure.

Kyoung-Jae Won, Thomas Hamelryck, Adam Prügel-Bennett, Anders Krogh

BMC Bioinform., 2007

2006

Evolving the structure of hidden Markov models.

Kyoung-Jae Won, Adam Prügel-Bennett, Anders Krogh

IEEE Trans. Evol. Comput., 2006

2005

Evolving hidden Markov models for protein secondary structure prediction.

Kyoung-Jae Won, Thomas Hamelryck, Adam Prügel-Bennett, Anders Krogh

Proceedings of the IEEE Congress on Evolutionary Computation, 2005

2004

Training HMM structure with genetic algorithm for biological sequence analysis.

Kyoung-Jae Won, Adam Prügel-Bennett, Anders Krogh

Bioinform., 2004

The Block Hidden Markov Model for Biological Sequence Analysis.

Kyoung-Jae Won, Adam Prügel-Bennett, Anders Krogh

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2004