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2020 – today
- 2024
[j21]Jung Su Ahn
, Young-Rae Cho:
Weighted Sparse Convolution and Transformer Feature Aggregation Networks for 3D Dental Segmentation. IEEE Access 12: 135172-135184 (2024)- 2022
- [j20]Kyeongbo Kong, Junggi Lee, Youngchul Kwak, Young-Rae Cho, Seong-Eun Kim, Woo-Jin Song:
Penalty based robust learning with noisy labels. Neurocomputing 489: 112-127 (2022) - 2021
- [j19]Hyun-Woong Cho, Sungdo Choi, Young-Rae Cho, Jongseok Kim:
Complex-Valued Channel Attention and Application in Ego-Velocity Estimation With Automotive Radar. IEEE Access 9: 17717-17727 (2021) - [j18]Hoyeon Jeong, Yoonbee Kim, Yi-Sue Jung, Dae Ryong Kang, Young-Rae Cho:
Entropy-Based Graph Clustering of PPI Networks for Predicting Overlapping Functional Modules of Proteins. Entropy 23(10): 1271 (2021) - [i1]Kyeongbo Kong, Junggi Lee, Youngchul Kwak, Young-Rae Cho, Seong-Eun Kim, Woo-Jin Song:
Mitigating Memorization in Sample Selection for Learning with Noisy Labels. CoRR abs/2107.07041 (2021) - 2020
- [j17]Jung-Jun Lee, Jae-Hwan Jhong, Young-Rae Cho, Sunghwan Kim, Ja-Yong Koo:
Penalized log-density estimation using Legendre polynomials. Commun. Stat. Simul. Comput. 49(11): 2844-2860 (2020) - [j16]Young-Rae Cho:
Evaluation of cross-ontology association rules weighted by term specificity. Int. J. Data Min. Bioinform. 24(3): 258-268 (2020) - [c33]Lee Soo Jung, Young-Rae Cho:
Survey of network-based approaches of drug-target interaction prediction. BIBM 2020: 1793-1796 - [c32]Hyun-Woong Cho, Sungdo Choi, Young-Rae Cho, Jongseok Kim:
Deep Complex-Valued Network for Ego-Velocity Estimation with Millimeter-Wave Radar. IEEE SENSORS 2020: 1-4 - [e1]Taesung Park, Young-Rae Cho, Xiaohua Hu, Illhoi Yoo, Hyun Goo Woo, Jianxin Wang, Julio C. Facelli, Seungyoon Nam, Mingon Kang:
IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2020, Virtual Event, South Korea, December 16-19, 2020. IEEE 2020, ISBN 978-1-7281-6215-7 [contents]
2010 – 2019
- 2019
- [j15]Young-Rae Cho, Seung-Jun Shin, Sung-Hyuk Yim, Kyeongbo Kong, Hyun-Woong Cho, Woo-Jin Song:
Multistage Fusion With Dissimilarity Regularization for SAR/IR Target Recognition. IEEE Access 7: 728-740 (2019) - [c31]Sawal Maskey, Young-Rae Cho:
Survey of biological network alignment: cross-species analysis of conserved systems. BIBM 2019: 2090-2096 - 2018
- [j14]Karel Kalecky, Young-Rae Cho:
PrimAlign: PageRank-inspired Markovian alignment for large biological networks. Bioinform. 34(13): i537-i546 (2018) - 2017
- [j13]Ján Sládek, Young-Rae Cho:
Evaluating the contributions of GO term properties to semantic similarity measurement. Int. J. Data Min. Bioinform. 18(3): 240-251 (2017) - [j12]Hyun-Woong Cho, Young-Rae Cho, Woo-Jin Song, Byoung-Kwang Kim:
Image Matting for Automatic Target Recognition. IEEE Trans. Aerosp. Electron. Syst. 53(5): 2233-2250 (2017) - [c30]Joseph Huang, Collin Rapp, Young-Rae Cho:
Mining cross-ontology weighted association rules between GO and HPO. BIBM 2017: 1706-1711 - [c29]Young-Rae Cho, Seung-Jun Shin, Sung-Hyuk Yim, Hyun-Woong Cho, Woo-Jin Song:
Multistage fusion and dissimilarity regularization for deep learning. MFI 2017: 586-591 - 2016
- [c28]Yong Shui, Young-Rae Cho:
Filtering association rules in Gene Ontology based on term specificity. BIBM 2016: 1314-1321 - 2015
- [j11]Young-Rae Cho, Yanan Xin, Greg Speegle:
P-Finder: Reconstruction of Signaling Networks from Protein-Protein Interactions and GO Annotations. IEEE ACM Trans. Comput. Biol. Bioinform. 12(2): 309-321 (2015) - [c27]Qiaoli Hu, Young-Rae Cho:
An integrative measure of graph- and vector-based semantic similarity using information content distance. BIBM 2015: 517-522 - [c26]Lizhu Ma, Young-Rae Cho:
Semantic mapping to align PPI networks and predict conserved protein complexes. BIBM 2015: 1608-1613 - 2014
- [j10]Slávka Jaromerská, Petr Praus, Young-Rae Cho:
Distance-Wise pathway Discovery from protein-protein Interaction Networks Weighted by Semantic Similarity. J. Bioinform. Comput. Biol. 12(1) (2014) - 2013
- [c25]Yilan Bai, Greg Speegle, Young-Rae Cho:
Signaling pathway prediction by path frequency in protein-protein interaction networks. BIBM 2013: 1-8 - [c24]Young-Rae Cho, Slávka Jaromerská:
Prediction of signaling networks by information propagation on protein-protein interaction networks integrated with GO annotations. BIBM 2013: 127-132 - 2012
- [c23]Young-Rae Cho, Tak Chien Chiam, Yanxin Lu:
M-Finder: Functional association mining from protein interaction networks weighted by semantic similarity. BIBM 2012: 1-6 - [c22]Francisco I. Pena, Young-Rae Cho:
Improvements of graph entropy approach to detect protein complexes by ontological analysis of PPIs. BIBM Workshops 2012: 211-217 - [c21]George D. Montañez, Young-Rae Cho:
Assessing reliability of protein-protein interactions by gene ontology integration. CIBCB 2012: 21-27 - [c20]Namdo Kim, Young-Nam Yun, Young-Rae Cho, Jay B. Kim, Byeong Min:
How to automate millions lines of top-level UVM testbench and handle huge register classes. ISOCC 2012: 405-407 - 2011
- [c19]Edward Casey Kenley, Lyles Kirk, Young-Rae Cho:
Differentiating party and date hubs in protein interaction networks using semantic similarity measures. BCB 2011: 641-645 - [c18]Nicholas Soltau, Young-Rae Cho:
Assessment of Cluster Overlaps to Improve Accuracy of Module Detection from PPI Networks. BIBM 2011: 569-573 - [c17]Edward Casey Kenley, Young-Rae Cho:
Entropy-Based Graph Clustering: Application to Biological and Social Networks. ICDM 2011: 1116-1121 - 2010
- [j9]Young-Rae Cho, Aidong Zhang:
Identification of functional hubs and modules by converting interactome networks into hierarchical ordering of proteins. BMC Bioinform. 11(S-3): 3 (2010) - [j8]Young-Rae Cho, Aidong Zhang:
Mining Protein Interactome Networks to Measure Interaction Reliability and Select Hub Proteins. Int. J. Knowl. Discov. Bioinform. 1(3): 20-35 (2010) - [j7]Young-Rae Cho, Aidong Zhang:
Predicting protein function by frequent functional association pattern mining in protein interaction networks. IEEE Trans. Inf. Technol. Biomed. 14(1): 30-36 (2010) - [c16]Young-Rae Cho:
Topological analysis of structural roles of proteins in interactome networks. BCB 2010: 587-593 - [c15]Lei Shi, Young-Rae Cho, Aidong Zhang:
Functional Flow Simulation Based Analysis of Protein Interaction Network. BIBE 2010: 144-149 - [c14]Hao Lian, Chengsen Song, Young-Rae Cho:
Decomposing protein interactome networks by graph entropy. BIBM 2010: 585-589 - [p1]Young-Rae Cho, Aidong Zhang:
Functional Influence-Based Approach to Identify Overlapping Modules in Biological Networks. Link Mining 2010: 535-556
2000 – 2009
- 2009
- [j6]Young-Rae Cho, Aidong Zhang, Xian Xu:
Semantic similarity based feature extraction from microarray expression data. Int. J. Data Min. Bioinform. 3(3): 333-345 (2009) - [c13]Young-Rae Cho, Aidong Zhang:
Restructuring Protein Interaction Networks to Reveal Structural Hubs and Functional Organizations. BIBM 2009: 105-110 - [c12]Young-Rae Cho, Lei Shi, Aidong Zhang:
flowNet: Flow-Based Approach for Efficient Analysis of Complex Biological Networks. ICDM 2009: 91-100 - [c11]Pritam Chanda, Young-Rae Cho, Aidong Zhang, Murali Ramanathan:
Mining of Attribute Interactions Using Information Theoretic Metrics. ICDM Workshops 2009: 350-355 - [c10]Lei Shi, Young-Rae Cho, Aidong Zhang:
ANN Based Protein Function Prediction Using Integrated Protein-Protein Interaction Data. IJCBS 2009: 271-277 - 2008
- [j5]Young-Rae Cho, Lei Shi, Murali Ramanathan, Aidong Zhang:
A probabilistic framework to predict protein function from interaction data integrated with semantic knowledge. BMC Bioinform. 9 (2008) - [j4]Young-Rae Cho, Lei Shi, Aidong Zhang:
Functional module detection by functional flow pattern mining in protein interaction networks. BMC Bioinform. 9(S-10) (2008) - [j3]Woochang Hwang, Young-Rae Cho, Aidong Zhang, Murali Ramanathan:
CASCADE: a novel quasi all paths-based network analysis algorithm for clustering biological interactions. BMC Bioinform. 9 (2008) - [c9]Kyuho Shim, Young-Rae Cho, Namdo Kim, Hyuncheol Baik, Kyungkuk Kim, Dusung Kim, Jaebum Kim, Byeongun Min, Kyumyung Choi, Maciej J. Ciesielski, Seiyang Yang:
A fast two-pass HDL simulation with on-demand dump. ASP-DAC 2008: 422-427 - [c8]Young-Rae Cho, Aidong Zhang:
Discovering Frequent Patterns of Functional Associations in Protein Interaction Networks for Function Prediction. BIBM 2008: 59-65 - 2007
- [j2]Young-Rae Cho, Woochang Hwang, Murali Ramanathan, Aidong Zhang:
Semantic integration to identify overlapping functional modules in protein interaction networks. BMC Bioinform. 8 (2007) - [c7]Young-Rae Cho, Woochang Hwang, Aidong Zhang:
Optimizing Flow-based Modularization by Iterative Centroid Search in Protein Interaction Networks. BIBE 2007: 342-349 - [c6]Woochang Hwang, Taehyong Kim, Young-Rae Cho, Aidong Zhang, Murali Ramanathan:
SIGN: reliable protein interaction identification by integrating the Similarity In GO and the similarity in protein interaction Networks. BIBE 2007: 1384-1388 - [c5]Young-Rae Cho, Woochang Hwang, Aidong Zhang:
Modularization of Protein Interaction Networks by Incorporating Gene Ontology Annotations. CIBCB 2007: 233-238 - [c4]Young-Rae Cho, Woochang Hwang, Aidong Zhang:
Assessing Reliability of Protein-Protein Interactions by Semantic Data Integration. ICDM Workshops 2007: 83-88 - [c3]Young-Rae Cho, Xian Xu, Woochang Hwang, Aidong Zhang:
Feature Extraction from Microarray Expression Data by Integration of Semantic Knowledge. ICMLA 2007: 606-611 - 2006
- [j1]Woochang Hwang, Young-Rae Cho, Aidong Zhang, Murali Ramanathan:
A novel functional module detection algorithm for protein-protein interaction networks. Algorithms Mol. Biol. 1 (2006) - [c2]Young-Rae Cho, Woochang Hwang, Aidong Zhang:
Efficient Modularization of Weighted Protein Interaction Networks using k-Hop Graph Reduction. BIBE 2006: 289-298 - [c1]Young-Rae Cho, Woochang Hwang, Aidong Zhang:
Identification of Overlapping Functional Modules in Protein Interaction Networks: Information Flow-based Approach. ICDM Workshops 2006: 147-152
Coauthor Index
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