Seungchan Kim

Orcid: 0000-0003-4183-4338

According to our database¹, Seungchan Kim authored at least 49 papers between 1999 and 2024.

Collaborative distances:

Dijkstra number² of three.
Erdős number³ of four.

Timeline

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PhD thesis

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On csauthors.net:

Bibliography

2024

Multi-Robot Multi-Room Exploration With Geometric Cue Extraction and Circular Decomposition.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., February, 2024

MapEx: Indoor Structure Exploration with Probabilistic Information Gain from Global Map Predictions.

[BibT_eX]

[DOI]

CoRR, 2024

2023

A 192-Gb 12-High 896-GB/s HBM3 DRAM With a TSV Auto-Calibration Scheme and Machine-Learning-Based Layout Optimization.

[BibT_eX]

[DOI]

IEEE J. Solid State Circuits, 2023

Toward General-Purpose Robots via Foundation Models: A Survey and Meta-Analysis.

[BibT_eX]

[DOI]

CoRR, 2023

Multi-Robot Multi-Room Exploration with Geometric Cue Extraction and Spherical Decomposition.

[BibT_eX]

[DOI]

CoRR, 2023

2022

Unsupervised Online Learning for Robotic Interestingness With Visual Memory.

[BibT_eX]

[DOI]

IEEE Trans. Robotics, 2022

Calibrated Bagging Deep Learning for Image Semantic Segmentation: A Case Study on COVID-19 Chest X-ray Image.

[BibT_eX]

[DOI]

CoRR, 2022

A 192-Gb 12-High 896-GB/s HBM3 DRAM with a TSV Auto-Calibration Scheme and Machine-Learning-Based Layout Optimization.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Solid-State Circuits Conference, 2022

Robotic Interestingness via Human-Informed Few-Shot Object Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

AirDet: Few-Shot Detection Without Fine-Tuning for Autonomous Exploration.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Semi-supervised Learning for COVID-19 Image Classification via ResNet.

[BibT_eX]

[DOI]

CoRR, 2021

2020

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.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Solid- State Circuits Conference, 2020

2019

Combating the Compounding-Error Problem with a Multi-step Model.

[BibT_eX]

[DOI]

CoRR, 2019

DeepMellow: Removing the Need for a Target Network in Deep Q-Learning.

[BibT_eX]

[DOI]

Seungchan Kim

Kavosh Asadi

Michael L. Littman

George Dimitri Konidaris

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Probing glioblastoma and its microenvironment using single-nucleus and single-cell sequencing.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Removing the Target Network from Deep Q-Networks with the Mellowmax Operator.

[BibT_eX]

[DOI]

Seungchan Kim

Kavosh Asadi

Michael L. Littman

George Dimitri Konidaris

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018

GPU-Accelerated Differential Dependency Network Analysis.

[BibT_eX]

[DOI]

Proceedings of the 26th Euromicro International Conference on Parallel, 2018

2017

Contextualization of drug-mediator relations using evidence networks.

[BibT_eX]

[DOI]

BMC Bioinform., 2017

Differential Pathway Dependency Discovery Associated with Drug Response across Cancer Cell Lines.

[BibT_eX]

[DOI]

Proceedings of the Biocomputing 2017: Proceedings of the Pacific Symposium, 2017

2016

Knowledge-Assisted Approach to Identify Pathways with Differential Dependencies.

[BibT_eX]

[DOI]

Proceedings of the Biocomputing 2016: Proceedings of the Pacific Symposium, 2016

2014

Template-based intervention in Boolean network models of biological systems.

[BibT_eX]

[DOI]

Michael P. Verdicchio

Seungchan Kim

EURASIP J. Bioinform. Syst. Biol., 2014

2011

Biomarkers associated with metastasis of lung cancer to brain predict patient survival.

[BibT_eX]

[DOI]

Int. J. Data Min. Bioinform., 2011

Context-specific gene regulatory networks subdivide intrinsic subtypes of breast cancer.

[BibT_eX]

[DOI]

BMC Bioinform., 2011

Identifying Targets for intervention by Analyzing Basins of Attraction.

[BibT_eX]

[DOI]

Michael P. Verdicchio

Seungchan Kim

Proceedings of the Biocomputing 2011: Proceedings of the Pacific Symposium, 2011

2010

Planning interventions in biological networks.

[BibT_eX]

[DOI]

Daniel Bryce

Michael P. Verdicchio

Seungchan Kim

ACM Trans. Intell. Syst. Technol., 2010

Clustering Context-Specific Gene Regulatory Networks.

[BibT_eX]

[DOI]

Proceedings of the Biocomputing 2010: Proceedings of the Pacific Symposium, 2010

2009

Fuzzy c-means clustering with prior biological knowledge.

[BibT_eX]

[DOI]

Luis Tari

Chitta Baral

Seungchan Kim

J. Biomed. Informatics, 2009

In-silico conditioning of microRNA to identify potential biomarkers from serum for pancreatic cancer.

[BibT_eX]

[DOI]

Proceedings of the 2009 IEEE International Workshop on Genomic Signal Processing and Statistics, 2009

Identifying MiRNA and Imaging Features Associated with Metastasis of Lung Cancer to the Brain.

[BibT_eX]

[DOI]

Proceedings of the 2009 IEEE International Conference on Bioinformatics and Biomedicine, 2009

2008

Threshold Logic Gene Regulatory Model - Prediction of Dorsal-ventral Patterning and Hardware-based Simulation of Drosophila.

[BibT_eX]

Proceedings of the First International Conference on Biomedical Electronics and Devices, 2008

2007

Comparison of Gene Regulatory Networks via Steady-State Trajectories.

[BibT_eX]

[DOI]

EURASIP J. Bioinform. Syst. Biol., 2007

Planning for Gene Regulatory Network Intervention.

[BibT_eX]

[DOI]

Daniel Bryce

Seungchan Kim

Proceedings of the IJCAI 2007, 2007

2006

Joint learning of logic relationships for studying protein function using phylogenetic profiles and the rosetta stone method.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2006

Stochastic Transcriptional Regulatory Systems with Time Delays: A Mean-Field Approximation.

[BibT_eX]

[DOI]

John Goutsias

Seungchan Kim

J. Comput. Biol., 2006

Quantization of Global Gene Expression Data.

[BibT_eX]

[DOI]

Tae-Hoon Chung

Marcel Brun

Seungchan Kim

Proceedings of the Fifth International Conference on Machine Learning and Applications, 2006

2005

Feature selection algorithms to find strong genes.

[BibT_eX]

[DOI]

Paulo J. S. Silva

Ronaldo Fumio Hashimoto

Seungchan Kim

Junior Barrera

Leônidas de Oliveira Brandão

Edward Suh

Edward R. Dougherty

Pattern Recognit. Lett., 2005

BioLog: A Browser Based Collaboration and Resource Navigation Assistant for BioMedical Researchers.

[BibT_eX]

[DOI]

Proceedings of the Data Integration in the Life Sciences, Second InternationalWorkshop, 2005

An Algorithm to Learn Causal Relations Between Genes from Steady State Data: Simulation and Its Application to Melanoma Dataset.

[BibT_eX]

[DOI]

Xin Zhang

Chitta Baral

Seungchan Kim

Proceedings of the Artificial Intelligence in Medicine, 2005

2004

Growing genetic regulatory networks from seed genes.

[BibT_eX]

[DOI]

Ronaldo Fumio Hashimoto

Bioinform., 2004

2003

Corrected Small-sample Estimation of the Bayes Error.

[BibT_eX]

[DOI]

Bioinform., 2003

2002

Strong Feature Sets from Small Samples.

[BibT_eX]

[DOI]

J. Comput. Biol., 2002

Inference from Clustering with Application to Gene-Expression Microarrays.

[BibT_eX]

[DOI]

Roberto Marcondes Cesar Junior

Yidong Chen

Michael L. Bittner

Jeffrey M. Trent

J. Comput. Biol., 2002

Probabilistic Boolean networks: a rule-based uncertainty model for gene regulatory networks.

[BibT_eX]

[DOI]

Bioinform., 2002

Granulometric classifiers from small samples.

[BibT_eX]

[DOI]

Yoganand Balagurunathan

Ronaldo Fumio Hashimoto

Seungchan Kim

Junior Barrera

Edward R. Dougherty

Proceedings of the Image Processing: Algorithms and Systems, 2002

2001

Multiresolution Analysis for Optimal Binary Filters.

[BibT_eX]

[DOI]

J. Math. Imaging Vis., 2001

2000

Coefficient of determination in nonlinear signal processing.

[BibT_eX]

[DOI]

Edward R. Dougherty

Seungchan Kim

Yidong Chen

Signal Process., 2000

Multiresolution filter design.

[BibT_eX]

[DOI]

Proceedings of the Nonlinear Image Processing XI, 2000

1999

Unsupervised morphological granulometric texture segmentation of digital mammograms.

[BibT_eX]

[DOI]

Krishnamoorthy Sivakumar

Robert B. Shah

J. Electronic Imaging, 1999

Nonlinear filters in genomic control.

[BibT_eX]

Krishnamoorthy Sivakumar

Junior Barrera

Paul S. Meltzer

Jeffrey M. Trent

Proceedings of the IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing (NSIP'99), 1999

Seungchan Kim

Timeline

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On csauthors.net:

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