Chee Keong Kwoh

Orcid: 0000-0002-8547-6387

Affiliations:
  • Nanyang Technological University, School of Computer Engineering, Singapore
  • University of London, Imperial College of Science, Technology and Medicine, UK (PhD 1995)


According to our database1, Chee Keong Kwoh authored at least 192 papers between 1995 and 2024.

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Bibliography

2024
Contrastive Domain Adaptation for Time-Series Via Temporal Mixup.
IEEE Trans. Artif. Intell., March, 2024

Self-Supervised Autoregressive Domain Adaptation for Time Series Data.
IEEE Trans. Neural Networks Learn. Syst., January, 2024

A relationship-aware calibrated prototypical network for fault incremental diagnosis of electric motors without reserved samples.
Reliab. Eng. Syst. Saf., 2024

MathEagle: Accurate prediction of drug-drug interaction events via multi-head attention and heterogeneous attribute graph learning.
Comput. Biol. Medicine, 2024

2023
Self-Supervised Contrastive Representation Learning for Semi-Supervised Time-Series Classification.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

A universal transfer network for machinery fault diagnosis.
Comput. Ind., October, 2023

Attention Over Self-Attention: Intention-Aware Re-Ranking With Dynamic Transformer Encoders for Recommendation.
IEEE Trans. Knowl. Data Eng., August, 2023

COMET: Convolutional Dimension Interaction for Collaborative Filtering.
ACM Trans. Intell. Syst. Technol., August, 2023

ViPal: A framework for virulence prediction of influenza viruses with prior viral knowledge using genomic sequences.
J. Biomed. Informatics, June, 2023

Virulence network of interacting domains of influenza a and mouse proteins.
Frontiers Bioinform., May, 2023

ADAST: Attentive Cross-Domain EEG-Based Sleep Staging Framework With Iterative Self-Training.
IEEE Trans. Emerg. Top. Comput. Intell., February, 2023

ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data.
ACM Trans. Knowl. Discov. Data, 2023

Empirical Study of Protein Feature Representation on Deep Belief Networks Trained With Small Data for Secondary Structure Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Directed collaboration patterns in funded teams: A perspective of knowledge flow.
Inf. Process. Manag., 2023

Generating Reliable Pixel-Level Labels for Source Free Domain Adaptation.
CoRR, 2023

Adaptive Stylization Modulation for Domain Generalized Semantic Segmentation.
CoRR, 2023

Label-efficient Time Series Representation Learning: A Review.
CoRR, 2023

PROTEUS: Domain Adaptation for Dynamic Features in AI-assisted Windows Malware Detection.
Proceedings of the IEEE International Conference on Data Mining, 2023

PESI: Paratope-Epitope Set Interaction for SARS-CoV-2 Neutralization Prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
Jupytope: computational extraction of structural properties of viral epitopes.
Briefings Bioinform., November, 2022

Conditional Contrastive Domain Generalization for Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2022

Toward Multidiversified Ensemble Clustering of High-Dimensional Data: From Subspaces to Metrics and Beyond.
IEEE Trans. Cybern., 2022

IAV-CNN: A 2D Convolutional Neural Network Model to Predict Antigenic Variants of Influenza A Virus.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

An Efficient Multiresolution Clustering for Motif Discovery in Complex Networks.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

CoTMix: Contrastive Domain Adaptation for Time-Series via Temporal Mixup.
CoRR, 2022

Self-supervised Learning for Label-Efficient Sleep Stage Classification: A Comprehensive Evaluation.
CoRR, 2022

Attention over Self-attention: Intention-aware Re-ranking with Dynamic Transformer Encoders for Recommendation.
CoRR, 2022

Pre-training graph neural networks for link prediction in biomedical networks.
Bioinform., 2022

A framework for predicting variable-length epitopes of human-adapted viruses using machine learning methods.
Briefings Bioinform., 2022

Graph representation learning in bioinformatics: trends, methods and applications.
Briefings Bioinform., 2022

Rotating Machinery Fault Diagnosis Based on Multi-sensor Information Fusion Using Graph Attention Network.
Proceedings of the 17th International Conference on Control, 2022

A heterogeneous graph cross-omics attention model for single-cell representation learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
Enhanced Ensemble Clustering via Fast Propagation of Cluster-Wise Similarities.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Multi-View Collaborative Network Embedding.
ACM Trans. Knowl. Discov. Data, 2021

Adversarial Multiple-Target Domain Adaptation for Fault Classification.
IEEE Trans. Instrum. Meas., 2021

Contrastive Adversarial Domain Adaptation for Machine Remaining Useful Life Prediction.
IEEE Trans. Ind. Informatics, 2021

GLIMG: Global and local item graphs for top-N recommender systems.
Inf. Sci., 2021

Attention-based sequence to sequence model for machine remaining useful life prediction.
Neurocomputing, 2021

Adversarial Domain Adaptation with Self-Training for EEG-based Sleep Stage Classification.
CoRR, 2021

Class similarity network for coding and long non-coding RNA classification.
BMC Bioinform., 2021

VirPreNet: a weighted ensemble convolutional neural network for the virulence prediction of influenza A virus using all eight segments.
Bioinform., 2021

Graph contextualized attention network for predicting synthetic lethality in human cancers.
Bioinform., 2021

Predicting the interaction biomolecule types for lncRNA: an ensemble deep learning approach.
Briefings Bioinform., 2021

DeepCPP: a deep neural network based on nucleotide bias information and minimum distribution similarity feature selection for RNA coding potential prediction.
Briefings Bioinform., 2021

Recent advances in network-based methods for disease gene prediction.
Briefings Bioinform., 2021

Chromatin loop anchors predict transcript and exon usage.
Briefings Bioinform., 2021

Time-Series Representation Learning via Temporal and Contextual Contrasting.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020
Ultra-Scalable Spectral Clustering and Ensemble Clustering.
IEEE Trans. Knowl. Data Eng., 2020

Time series computational prediction of vaccines for influenza A H3N2 with recurrent neural networks.
J. Bioinform. Comput. Biol., 2020

COMET: Convolutional Dimension Interaction for Deep Matrix Factorization.
CoRR, 2020

Attention Sequence to Sequence Model for Machine Remaining Useful Life Prediction.
CoRR, 2020

Deep learning based DNA: RNA triplex forming potential prediction.
BMC Bioinform., 2020

A random forest based computational model for predicting novel lncRNA-disease associations.
BMC Bioinform., 2020

Tempel: time-series mutation prediction of influenza A viruses via attention-based recurrent neural networks.
Bioinform., 2020

Predicting human microbe-drug associations via graph convolutional network with conditional random field.
Bioinform., 2020

Heterogeneous information network and its application to human health and disease.
Briefings Bioinform., 2020

DL-CRISPR: A Deep Learning Method for Off-Target Activity Prediction in CRISPR/Cas9 With Data Augmentation.
IEEE Access, 2020

Spectral Clustering by Subspace Randomization and Graph Fusion for High-Dimensional Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Adversarial Transfer Learning for Machine Remaining Useful Life Prediction.
Proceedings of the IEEE International Conference on Prognostics and Health Management, 2020

Information Theory-Based Feature Selection: Minimum Distribution Similarity with Removed Redundancy.
Proceedings of the Computational Science - ICCS 2020, 2020

Predicting Drugs for COVID-19/SARS-CoV-2 via Heterogeneous Graph Attention Networks.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019
Molecular Dynamics and Simulation.
Proceedings of the Encyclopedia of Bioinformatics and Computational Biology - Volume 2, 2019

Whole Genome Sequencing Analysis.
Proceedings of the Encyclopedia of Bioinformatics and Computational Biology - Volume 3, 2019

Genome Analysis - Identification of Genes Involved in Host-Pathogen Protein-Protein Interaction Networks.
Proceedings of the Encyclopedia of Bioinformatics and Computational Biology - Volume 3, 2019

Natural Language Processing Approaches in Bioinformatics.
Proceedings of the Encyclopedia of Bioinformatics and Computational Biology - Volume 1, 2019

Ensemble Prediction of Synergistic Drug Combinations Incorporating Biological, Chemical, Pharmacological, and Network Knowledge.
IEEE J. Biomed. Health Informatics, 2019

Characterization of Hydration Properties in Structural Ensembles of Biomolecules.
J. Chem. Inf. Model., 2019

An improved random forest-based computational model for predicting novel miRNA-disease associations.
BMC Bioinform., 2019

MULTiPly: a novel multi-layer predictor for discovering general and specific types of promoters.
Bioinform., 2019

Computational prediction of drug-target interactions using chemogenomic approaches: an empirical survey.
Briefings Bioinform., 2019

An Encoding Scheme Capturing Generic Priors and Properties of Amino Acids Improves Protein Classification.
IEEE Access, 2019

Fast Top-N Personalized Recommendation on Item Graph.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
Computational identification of physicochemical signatures for host tropism of influenza A virus.
J. Bioinform. Comput. Biol., 2018

Proposing drug fragments for dengue virus NS5 protein.
J. Bioinform. Comput. Biol., 2018

Computational analysis of the receptor binding specificity of novel influenza A/H7N9 viruses.
BMC Genom., 2018

2017
Drug-Target Interaction Prediction with Graph Regularized Matrix Factorization.
IEEE ACM Trans. Comput. Biol. Bioinform., 2017

Toward Multi-Diversified Ensemble Clustering of High-Dimensional Data.
CoRR, 2017

Identification of Potential Critical Virulent Sites Based on Hemagglutinin of Influenza a Virus in Past Pandemic Strains.
Proceedings of the 6th International Conference on Bioinformatics and Biomedical Science, 2017

AI and Big Data Analytics for Health and Bioinformatics.
Proceedings of the 8th International Conference on Computational Systems-Biology and Bioinformatics, 2017

Phylogenetic Tree based Method for Uncovering Co-mutational Site-pairs in Influenza Viruses.
Proceedings of the 8th ACM International Conference on Bioinformatics, 2017

2016
Cross-Examination for Angle-Closure Glaucoma Feature Detection.
IEEE J. Biomed. Health Informatics, 2016

Learning ECOC Code Matrix for Multiclass Classification with Application to Glaucoma Diagnosis.
J. Medical Syst., 2016

Automated anterior segment OCT image analysis for Angle Closure Glaucoma mechanisms classification.
Comput. Methods Programs Biomed., 2016

Complex wavelet based quality assessment for AS-OCT images with application to Angle Closure Glaucoma diagnosis.
Comput. Methods Programs Biomed., 2016

Gene, Environment and Methylation (GEM): a tool suite to efficiently navigate large scale epigenome wide association studies and integrate genotype and interaction between genotype and environment.
BMC Bioinform., 2016

Drug-target interaction prediction via class imbalance-aware ensemble learning.
BMC Bioinform., 2016

Active learning for ontological event extraction incorporating named entity recognition and unknown word handling.
J. Biomed. Semant., 2016

Clustering based active learning for biomedical Named Entity Recognition.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015
Efficient and Accurate OTU Clustering with GPU-Based Sequence Alignment and Dynamic Dendrogram Cutting.
IEEE ACM Trans. Comput. Biol. Bioinform., 2015

Reliable Feature Selection for Automated Angle Closure Glaucoma Mechanism Detection.
J. Medical Syst., 2015

Predicting essential genes and synthetic lethality via influence propagation in signaling pathways of cancer cell fates.
J. Bioinform. Comput. Biol., 2015

Classification and its application to drug-target interaction prediction.
CoRR, 2015

Fast, accurate, and reliable molecular docking with QuickVina 2.
Bioinform., 2015

2014
Reliable and Fast Estimation of Recombination Rates by Convergence Diagnosis and Parallel Markov Chain Monte Carlo.
IEEE ACM Trans. Comput. Biol. Bioinform., 2014

A survey on computer aided diagnosis for ocular diseases.
BMC Medical Informatics Decis. Mak., 2014

Finding trans-regulatory genes and protein complexes modulating meiotic recombination hotspots of human, mouse and yeast.
BMC Syst. Biol., 2014

LDsplit: screening for cis-regulatory motifs stimulating meiotic recombination hotspots by analysis of DNA sequence polymorphisms.
BMC Bioinform., 2014

IFACEwat: the interfacial water-implemented re-ranking algorithm to improve the discrimination of near native structures for protein rigid docking.
BMC Bioinform., 2014

Integrating water exclusion theory into βcontacts to predict binding free energy changes and binding hot spots.
BMC Bioinform., 2014

Parameter estimation and simulation for one-choice Ratcliff diffusion model.
Proceedings of the Symposium on Applied Computing, 2014

SparseHC: A Memory-efficient Online Hierarchical Clustering Algorithm.
Proceedings of the International Conference on Computational Science, 2014

Automatic sleep onset detection using single EEG sensor.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Data-driven prediction of cancer cell fates with a nonlinear model of signaling pathways.
Proceedings of the 5th ACM Conference on Bioinformatics, 2014

Fast dendrogram-based OTU clustering using sequence embedding.
Proceedings of the 5th ACM Conference on Bioinformatics, 2014

2013
CovalentDock Cloud: a web server for automated covalent docking.
Nucleic Acids Res., 2013

Binding Affinity Prediction for Protein-Ligand Complexes Based on <i>β</i> Contacts and B Factor.
J. Chem. Inf. Model., 2013

CovalentDock: Automated covalent docking with parameterized covalent linkage energy estimation and molecular geometry constraints.
J. Comput. Chem., 2013

Research and applications: Automatic glaucoma diagnosis through medical imaging informatics.
J. Am. Medical Informatics Assoc., 2013

Comprehensive detection of cancer gene expression profiles and gene networks are impacted by the choice of pre-processing algorithm and gene-selection method.
Int. J. Data Min. Bioinform., 2013

Using causality modeling and Fuzzy Lattice Reasoning algorithm for predicting blood glucose.
Expert Syst. Appl., 2013

Improved Time Complexities for Learning Boolean Networks.
Entropy, 2013

Discovering Unique, Low-Energy Transition States Using Evolutionary Molecular Memetic Computing.
IEEE Comput. Intell. Mag., 2013

Molecular docking analysis of 2009-H1N1 and 2004-H5N1 influenza virus HLA-B*4405-restricted HA epitope candidates: implications for TCR cross-recognition and vaccine development.
BMC Bioinform., 2013

Structural analysis of the novel influenza A (H7N9) viral Neuraminidase interactions with current approved neuraminidase inhibitors Oseltamivir, Zanamivir, and Peramivir in the presence of mutation R289K.
BMC Bioinform., 2013

Structural analysis on mutation residues and interfacial water molecules for human TIM disease understanding.
BMC Bioinform., 2013

Drug-target interaction prediction by learning from local information and neighbors.
Bioinform., 2013

Review of tandem repeat search tools: a systematic approach to evaluating algorithmic performance.
Briefings Bioinform., 2013

Meta-analysis of Genomic and Proteomic Features to Predict Synthetic Lethality of Yeast and Human Cancer.
Proceedings of the ACM Conference on Bioinformatics, 2013

2012
Erratum to "QuickVina: Accelerating AutoDock Vina Using Gradient-Based Heuristics for Global Optimization".
IEEE ACM Trans. Comput. Biol. Bioinform., 2012

QuickVina: Accelerating AutoDock Vina Using Gradient-Based Heuristics for Global Optimization.
IEEE ACM Trans. Comput. Biol. Bioinform., 2012

Identify Predictive SNP groups in Genome Wide Association Study: A Sparse Learning Approach.
Proceedings of the 3rd International Conference on Computational Systems-Biology and Bioinformatics, 2012

Comparison of Structure-based Tools for the Prediction of Ligand Binding Site Residues in Apo-structures.
Proceedings of the 3rd International Conference on Computational Systems-Biology and Bioinformatics, 2012

Preface: Computational Systems-Biology and Bioinformatics.
Proceedings of the 3rd International Conference on Computational Systems-Biology and Bioinformatics, 2012

Discovery of Protein Complexes with Core-Attachment Structures from Tandem Affinity Purification (TAP) Data.
J. Comput. Biol., 2012

A tree-structured covalent-bond-driven molecular memetic algorithm for optimization of ring-deficient molecules.
Comput. Math. Appl., 2012

Positive-unlabeled learning for disease gene identification.
Bioinform., 2012

A contact-network-based simulation model for evaluating interventions under "what-if" scenarios in epidemic.
Proceedings of the Winter Simulation Conference, 2012

Globalized bipartite local model for drug-target interaction prediction.
Proceedings of the 11th International Workshop on Data Mining in Bioinformatics, 2012

GPU Accelerated Molecular Docking with Parallel Genetic Algorithm.
Proceedings of the 18th IEEE International Conference on Parallel and Distributed Systems, 2012

NetPipe: a network-based pipeline for discovery of genes and protein complexes regulating meiotic recombination hotspots.
Proceedings of the ACM International Conference on Bioinformatics, 2012

Integration of genomic and epigenomic features to predict meiotic recombination hotspots in human and mouse.
Proceedings of the ACM International Conference on Bioinformatics, 2012

2011
Trend Analysis of Length of Stay Data via Phase-Type Models.
Int. J. Knowl. Discov. Bioinform., 2011

A Feature Subset Selection Method Based On High-Dimensional Mutual Information.
Entropy, 2011

Construction of co-complex score matrix for protein complex prediction from AP-MS data.
Bioinform., 2011

Structural analysis of the hot spots in the binding between H1N1 HA and the 2D1 antibody: do mutations of H1N1 from 1918 to 2009 affect much on this binding?
Bioinform., 2011

Analyzing Trends of Hospital Length of Stay Using Phase-Type Distributions.
Proceedings of the Data Mining Workshops (ICDMW), 2011

MRMR optimized classification for automatic glaucoma diagnosis.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

A hybrid framework for genome wide epistasis discovery.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Classification-assisted memetic algorithms for solving optimization problems with restricted equality constraint function mapping.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

Prediction of Trans-regulators of Recombination Hotspots in Mouse Genome.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2011

Phylogenetic and mutational analysis of 2008, 2009 & 2010 neuraminidase of H1N1 influenza A.
Proceedings of the ACM International Conference on Bioinformatics, 2011

2010
Feasibility Structure Modeling: An Effective Chaperone for Constrained Memetic Algorithms.
IEEE Trans. Evol. Comput., 2010

Integrating diverse biological and computational sources for reliable protein-protein interactions.
BMC Bioinform., 2010

Multi-threaded vectorized distance matrix computation on the CELL/BE and x86/SSE2 architectures.
Bioinform., 2010

INVERTER: INtegrated Variable numbER Tandem rEpeat findeR.
Proceedings of the Computational Systems-Biology and Bioinformatics, 2010

A Vaccine Strategy for Plant Allergy by RNA Interference - An <i>in Silico</i> Approach.
Proceedings of the Computational Systems-Biology and Bioinformatics, 2010

Bioinformatics approaches in tuberculosis vaccination strategies by whole genome sequence.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2010

Structural analysis of (TCR - )HLA/peptide complexes: An initial study.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2010

A possible mutation that enables H1N1 influenza a virus to escape antibody recognition.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine, 2010

Outcomes of gene association analysis of cancer microarray data are impacted by pre-processing algorithms.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine, 2010

2009
High performance protein sequence database scanning on the Cell Broadband Engine.
Sci. Program., 2009

Brief Overview of Bioinformatics Activities in Singapore.
PLoS Comput. Biol., 2009

A core-attachment based method to detect protein complexes in PPI networks.
BMC Bioinform., 2009

A GA-SVM Feature Selection Model Based on High Performance Computing Techniques.
Proceedings of the IEEE International Conference on Systems, 2009

Pairwise Distance Matrix Computation for Multiple Sequence Alignment on the Cell Broadband Engine.
Proceedings of the Computational Science, 2009

Classification-Assisted Memetic Algorithms for Equality-Constrained Optimization Problems.
Proceedings of the AI 2009: Advances in Artificial Intelligence, 2009

2008
From Biomedical Literature to Knowledge: Mining Protein-Protein Interactions.
Proceedings of the Computational Intelligence in Biomedicine and Bioinformatics, 2008

Extracting Protein-Protein Interactions from MEDLINE using the Hidden Vector State model.
Int. J. Bioinform. Res. Appl., 2008

Hotspot Hunter: a computational system for large-scale screening and selection of candidate immunological hotspots in pathogen proteomes.
BMC Bioinform., 2008

CBESW: Sequence Alignment on the Playstation 3.
BMC Bioinform., 2008

Using classification for constrained memetic algorithm: A new paradigm.
Proceedings of the IEEE International Conference on Systems, 2008

A study on constrained MA using GA and SQP: Analytical vs. finite-difference gradients.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007
Semi-supervised learning of the hidden vector state model for extracting protein-protein interactions.
Artif. Intell. Medicine, 2007

Ant-MST: An Ant-Based Minimum Spanning Tree for Gene Expression Data Clustering.
Proceedings of the Pattern Recognition in Bioinformatics, 2007

Parallel DNA Sequence Alignment on the Cell Broadband Engine.
Proceedings of the Parallel Processing and Applied Mathematics, 2007

Training the Hidden Vector State Model from Un-annotated Corpus.
Proceedings of the Computational Science - ICCS 2007, 7th International Conference, Beijing, China, May 27, 2007

Semi-supervised Learning of the Hidden Vector State Model for Protein-Protein Interactions Extraction.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2007

2006
Cancer Classification With MicroRNA Expression Patterns Found By An Information Theory Approach.
J. Comput., 2006

Dynamic algorithm for inferring qualitative models of Gene Regulatory Networks.
Int. J. Data Min. Bioinform., 2006

Informative MicroRNA Expression Patterns for Cancer Classification.
Proceedings of the Data Mining for Biomedical Applications, PAKDD 2006 Workshop, 2006

Extreme Learning Machine for Predicting HLA-Peptide Binding.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

Extracting Protein-Protein Interactions from the Literature Using the Hidden Vector State Model.
Proceedings of the Computational Science, 2006

Functional Prediction of Snake Neurotoxins.
Proceedings of the Ninth International Conference on Control, 2006

2005
u-Genome: A Database on Genome Design in Unicellular Genomes.
Silico Biol., 2005

Human Posture Reconstruction And Animation From Monocular Images Based On Genetic Algorithms.
Int. J. Image Graph., 2005

3D Posture Reconstruction and Human Animation from 2D Feature Points.
Comput. Graph. Forum, 2005

Applying the Clonal Selection Principle to Find Flexible Job-Shop Schedules.
Proceedings of the Artificial Immune Systems: 4th International Conference, 2005

Identifying Simple Discriminatory Gene Vectors with an Information Theory Approach.
Proceedings of the Fourth International IEEE Computer Society Computational Systems Bioinformatics Conference, 2005

2004
The Pattern Classification Based on the Nearest Feature Midpoints.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

Fast Leave-One-Out Evaluation and Improvement on Inference for LS-SVMs.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

Motion Recovery Based on Feature Extraction from 2D Images.
Proceedings of the International Conference on Computer Vision and Graphics, 2004

Reconstructing Boolean networks from noisy gene expression data.
Proceedings of the 8th International Conference on Control, 2004

Dynamic Algorithm for Inferring Qualitative Models of Gene Regulatory Networks.
Proceedings of the 3rd International IEEE Computer Society Computational Systems Bioinformatics Conference, 2004

2001
Computer-assisted transurethral laser resection of the prostate (CALRP): theoretical and experimental motion plan.
IEEE Trans. Biomed. Eng., 2001

The safety issues of medical robotics.
Reliab. Eng. Syst. Saf., 2001

Convex object based volume visualization: a formal proof and example.
Comput. Graph., 2001

Interactive Surgical Planning Using Context Based Volume Visualization Techniques.
Proceedings of the Medical Imaging and Augmented Reality: First International Workshop, 2001

1999
Tessellated Surface Reconstruction from 2D Contours.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 1999

1998
Probabilistic reasoning and multiple-expert methodology for correlated objective data.
Artif. Intell. Eng., 1998

1997
Choice of error cost function for training unobservable nodes in Bayesian networks.
Proceedings of the Knowledge-Based Intelligent Electronic Systems, 1997

1996
Using Hidden Nodes in Bayesian Networks.
Artif. Intell., 1996

1995
Estimating the initial values of unobservable variables in visual probabilistic networks.
Proceedings of the Computer Analysis of Images and Patterns, 6th International Conference, 1995


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