Nonlinear filters in genomic control. - Edward R. Dougherty; Michael L. Bittner; Yidong Chen 002; Seungchan Kim; Krishnamoorthy Sivakumar; Junior Barrera; Paul S. Meltzer; Jeffrey M. Trent (NSIP, 1999)

Unsupervised morphological granulometric texture segmentation of digital mammograms. - Sooncheol Baeg; Sinan Batman; Edward R. Dougherty; Vishnu G. Kamat; Nasser Kehtarnavaz; Seungchan Kim; Anthony T. Popov; Krishnamoorthy Sivakumar; Robert B. Shah (J. Electronic Imaging, 1999)

Multiresolution filter design. - Edward R. Dougherty; Junior Barrera; Gerard Mozelle; Seungchan Kim; Marcel Brun (Electronic Imaging: Nonlinear Image Processing, 2000)

Coefficient of determination in nonlinear signal processing. - Edward R. Dougherty; Seungchan Kim; Yidong Chen 002 (Signal Process., 2000)

Multiresolution Analysis for Optimal Binary Filters. - Edward R. Dougherty; Junior Barrera; Gerard Mozelle; Seungchan Kim; Marcel Brun (J. Math. Imaging Vis., 2001)

Granulometric classifiers from small samples. - Yoganand Balagurunathan; Ronaldo Fumio Hashimoto; Seungchan Kim; Junior Barrera; Edward R. Dougherty (Image Processing: Algorithms and Systems, 2002)

Probabilistic Boolean networks: a rule-based uncertainty model for gene regulatory networks. - Ilya Shmulevich; Edward R. Dougherty; Seungchan Kim; Wei Zhang 011 (Bioinform., 2002)

Inference from Clustering with Application to Gene-Expression Microarrays. - Edward R. Dougherty; Junior Barrera; Marcel Brun; Seungchan Kim; Roberto Marcondes Cesar Junior; Yidong Chen 002; Michael L. Bittner; Jeffrey M. Trent (J. Comput. Biol., 2002)

Strong Feature Sets from Small Samples. - Seungchan Kim; Edward R. Dougherty; Junior Barrera; Yidong Chen 002; Michael L. Bittner; Jeffrey M. Trent (J. Comput. Biol., 2002)

Corrected Small-sample Estimation of the Bayes Error. - Marcel Brun; David Sabbagh; Seungchan Kim; Edward R. Dougherty (Bioinform., 2003)

Growing genetic regulatory networks from seed genes. - Ronaldo Fumio Hashimoto; Seungchan Kim; Ilya Shmulevich; Wei Zhang 011; Michael L. Bittner; Edward R. Dougherty (Bioinform., 2004)

An Algorithm to Learn Causal Relations Between Genes from Steady State Data: Simulation and Its Application to Melanoma Dataset. - Xin Zhang 005; Chitta Baral; Seungchan Kim (AIME, 2005)

BioLog: A Browser Based Collaboration and Resource Navigation Assistant for BioMedical Researchers. - Prabhdeep Singh; R. Bhimavarapu; Hasan Davulcu; Chitta Baral; Seungchan Kim; Huan Liu 001; Michael L. Bittner; I. V. Ramakrishnan (DILS, 2005)

Feature selection algorithms to find strong genes. - Paulo J. S. Silva; Ronaldo Fumio Hashimoto; Seungchan Kim; Junior Barrera; Leônidas de Oliveira Brandão; Edward Suh; Edward R. Dougherty (Pattern Recognit. Lett., 2005)

Quantization of Global Gene Expression Data. - Tae-Hoon Chung; Marcel Brun; Seungchan Kim (ICMLA, 2006)

Stochastic Transcriptional Regulatory Systems with Time Delays: A Mean-Field Approximation. - John Goutsias; Seungchan Kim (J. Comput. Biol., 2006)

Joint learning of logic relationships for studying protein function using phylogenetic profiles and the rosetta stone method. - Xin Zhang 005; Seungchan Kim; Tie Wang; Chitta Baral (IEEE Trans. Signal Process., 2006)

Planning for Gene Regulatory Network Intervention. - Daniel Bryce; Seungchan Kim (IJCAI, 2007)

Comparison of Gene Regulatory Networks via Steady-State Trajectories. - Marcel Brun; Seungchan Kim; Woonjung Choi; Edward R. Dougherty (EURASIP J. Bioinform. Syst. Biol., 2007)

Threshold Logic Gene Regulatory Model - Prediction of Dorsal-ventral Patterning and Hardware-based Simulation of Drosophila. - Tejaswi Gowda; Samuel Leshner; Sarma B. K. Vrudhula; Seungchan Kim (BIODEVICES (1), 2008)

Identifying MiRNA and Imaging Features Associated with Metastasis of Lung Cancer to the Brain. - Sara Nasser; Aarati R. Ranade; Shravan Sridhart; Lisa Haney; Ronald L. Korn; Michael B. Gotway; Glen J. Weiss; Seungchan Kim (BIBM, 2009)

In-silico conditioning of microRNA to identify potential biomarkers from serum for pancreatic cancer. - Sara Nasser; Glen J. Weiss; Aarati R. Ranade; Seungchan Kim (GENSiPS, 2009)

Fuzzy c-means clustering with prior biological knowledge. - Luis Tari; Chitta Baral; Seungchan Kim (J. Biomed. Informatics, 2009)

Clustering Context-Specific Gene Regulatory Networks. - Archana Ramesh; Robert P. Trevino; Daniel D. Von Hoff; Seungchan Kim (Pacific Symposium on Biocomputing, 2010)

Planning interventions in biological networks. - Daniel Bryce; Michael P. Verdicchio; Seungchan Kim (ACM Trans. Intell. Syst. Technol., 2010)

Identifying Targets for intervention by Analyzing Basins of Attraction. - Michael P. Verdicchio; Seungchan Kim (Pacific Symposium on Biocomputing, 2011)

Context-specific gene regulatory networks subdivide intrinsic subtypes of breast cancer. - Sara Nasser; Heather E. Cunliffe; Michael A. Black; Seungchan Kim (BMC Bioinform., 2011)

Biomarkers associated with metastasis of lung cancer to brain predict patient survival. - Sara Nasser; Aarati R. Ranade; Shravan Sridhart; Lisa Haney; Ronald L. Korn; Michael B. Gotway; Glen J. Weiss; Seungchan Kim (Int. J. Data Min. Bioinform., 2011)

Template-based intervention in Boolean network models of biological systems. - Michael P. Verdicchio; Seungchan Kim (EURASIP J. Bioinform. Syst. Biol., 2014)

Knowledge-Assisted Approach to Identify Pathways with Differential Dependencies. - Gil Speyer; Jeff Kiefer; Harshil Dhruv; Michael E. Berens; Seungchan Kim (PSB, 2016)

Differential Pathway Dependency Discovery Associated with Drug Response across Cancer Cell Lines. - Gil Speyer; Divya Mahendra; Hai J. Tran; Jeff Kiefer; Stuart L. Schreiber; Paul A. Clemons; Harshil Dhruv; Michael E. Berens; Seungchan Kim (PSB, 2017)

Contextualization of drug-mediator relations using evidence networks. - Hai J. Tran; Gil Speyer; Jeff Kiefer; Seungchan Kim (BMC Bioinform., 2017)

GPU-Accelerated Differential Dependency Network Analysis. - Gil Speyer; Juan Rodriguez; Tomas Bencomo; Seungchan Kim (PDP, 2018)

Removing the Target Network from Deep Q-Networks with the Mellowmax Operator. - Seungchan Kim; Kavosh Asadi; Michael L. Littman; George Dimitri Konidaris (AAMAS, 2019)

Probing glioblastoma and its microenvironment using single-nucleus and single-cell sequencing. - Sen Peng; Seungchan Kim; Harshil Dhruv; Sanhita Rath; Connor Vuong; Saumya Bollam; Jenny Eschbacher; Xishuang Dong; Shwetal Mehta; Nader Sanai; Michael E. Berens (BIBM, 2019)

DeepMellow: Removing the Need for a Target Network in Deep Q-Learning. - Seungchan Kim; Kavosh Asadi; Michael L. Littman; George Dimitri Konidaris (IJCAI, 2019)

Combating the Compounding-Error Problem with a Multi-step Model. - Kavosh Asadi; Dipendra Misra; Seungchan Kim; Michael L. Littman (CoRR, 2019)

22.3 A 128Gb 8-High 512GB/s HBM2E DRAM with a Pseudo Quarter Bank Structure, Power Dispersion and an Instruction-Based At-Speed PMBIST. - Dong-Uk Lee; Ho Sung Cho; Jihwan Kim; Young Jun Ku; Sangmuk Oh; Chul Dae Kim; Hyun Woo Kim; Wooyoung Lee; Tae-Kyun Kim 001; Tae Sik Yun; Min Jeong Kim; SeungGyeon Lim; et al. (ISSCC, 2020)

Semi-supervised Learning for COVID-19 Image Classification via ResNet. - Lucy Nwuso; Xiangfang Li; Lijun Qian; Seungchan Kim; Xishuang Dong (CoRR, 2021)

AirDet: Few-Shot Detection Without Fine-Tuning for Autonomous Exploration. - Bowen Li 007; Chen Wang 033; Pranay Reddy; Seungchan Kim; Sebastian A. Scherer (ECCV (39), 2022)

Robotic Interestingness via Human-Informed Few-Shot Object Detection. - Seungchan Kim; Chen Wang 033; Bowen Li 007; Sebastian A. Scherer (IROS, 2022)

A 192-Gb 12-High 896-GB/s HBM3 DRAM with a TSV Auto-Calibration Scheme and Machine-Learning-Based Layout Optimization. - Myeong-Jae Park; Ho Sung Cho; Tae-Sik Yun; Sangjin Byeon; Young Jun Koo; Sang-Sic Yoon; Dong-Uk Lee; Seokwoo Choi; Ji Hwan Park; Jinhyung Lee; Kyungjun Cho; Junil Moon; et al. (ISSCC, 2022)

Calibrated Bagging Deep Learning for Image Semantic Segmentation: A Case Study on COVID-19 Chest X-ray Image. - Lucy Nwosu; Xiangfang Li; Lijun Qian; Seungchan Kim; Xishuang Dong (CoRR, 2022)

Unsupervised Online Learning for Robotic Interestingness With Visual Memory. - Chen Wang 033; Yuheng Qiu; Wenshan Wang; Yafei Hu; Seungchan Kim; Sebastian A. Scherer (IEEE Trans. Robotics, 2022)

Multi-Robot Multi-Room Exploration with Geometric Cue Extraction and Spherical Decomposition. - Seungchan Kim; Micah Corah; John Keller; Graeme Best; Sebastian A. Scherer (CoRR, 2023)

Toward General-Purpose Robots via Foundation Models: A Survey and Meta-Analysis. - Yafei Hu; Quanting Xie; Vidhi Jain; Jonathan Francis; Jay Patrikar; Nikhil Varma Keetha; Seungchan Kim; Yaqi Xie 001; Tianyi Zhang 014; Shibo Zhao; Yu Quan Chong; Chen Wang 033; et al. (CoRR, 2023)

A 192-Gb 12-High 896-GB/s HBM3 DRAM With a TSV Auto-Calibration Scheme and Machine-Learning-Based Layout Optimization. - Myeong-Jae Park; Jinhyung Lee; Kyungjun Cho; Ji Hwan Park; Junil Moon; Sung-Hak Lee; Tae-Kyun Kim 001; Sanghoon Oh; Seokwoo Choi; Yongsuk Choi; Ho Sung Cho; Tae-Sik Yun; et al. (IEEE J. Solid State Circuits, 2023)

MapEx: Indoor Structure Exploration with Probabilistic Information Gain from Global Map Predictions. - Cherie Ho; Seungchan Kim; Brady G. Moon; Aditya Parandekar; Narek Harutyunyan; Chen Wang 033; Katia P. Sycara; Graeme Best; Sebastian A. Scherer (CoRR, 2024)

Multi-Robot Multi-Room Exploration With Geometric Cue Extraction and Circular Decomposition. - Seungchan Kim; Micah Corah; John Keller; Graeme Best; Sebastian A. Scherer (IEEE Robotics Autom. Lett., 2024)

MapExRL: Human-Inspired Indoor Exploration with Predicted Environment Context and Reinforcement Learning. - Narek Harutyunyan; Brady G. Moon; Seungchan Kim; Cherie Ho; Adam Hung; Sebastian A. Scherer (CoRR, 2025)

PIPE Planner: Pathwise Information Gain with Map Predictions for Indoor Robot Exploration. - Seungjae Baek; Brady G. Moon; Seungchan Kim; Muqing Cao; Cherie Ho; Sebastian A. Scherer; Jeong hwan Jeon (CoRR, 2025)

RayFronts: Open-Set Semantic Ray Frontiers for Online Scene Understanding and Exploration. - Omar Alama; Avigyan Bhattacharya; Haoyang He; Seungchan Kim; Yuheng Qiu; Wenshan Wang; Cherie Ho; Nikhil Varma Keetha; Sebastian A. Scherer (CoRR, 2025)