David K. Y. Chiu

According to our database1, David K. Y. Chiu authored at least 57 papers between 1986 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2021
Random Graph-based Multiple Instance Learning for Structured IoT Smart City Applications.
ACM Trans. Internet Techn., 2021

2018
Common Random Subgraph Modeling Using Multiple Instance Learning.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017
A maximum partial entropy-based method for multiple-instance concept learning.
Appl. Intell., 2017

2014
Discovering functional patterns from pattern signatures of P53 protein sequence association structure.
Neurocomputing, 2014

Object Segmentation through Multiple Instance Learning.
Proceedings of the Image and Signal Processing - 6th International Conference, 2014

2013
NHOP: A Nested Associative Pattern for Analysis of Consensus Sequence Ensembles.
IEEE Trans. Knowl. Data Eng., 2013

Inferring the Association Network from p53 Sequence Alignment Using Granular Evaluations.
Proceedings of the Pattern Recognition in Bioinformatics, 2013

2012
Statistical discovery of site inter-dependencies in sub-molecular hierarchical protein structuring.
EURASIP J. Bioinform. Syst. Biol., 2012

Constructing Target Concept in Multiple Instance Learning Using Maximum Partial Entropy.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2012

2011
A degree-distribution based hierarchical agglomerative clustering algorithm for protein complexes identification.
Comput. Biol. Chem., 2011

Adaptive Kernel Diverse Density Estimate for Multiple Instance Learning.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2011

InfoBarcoding: Selection of non-contiguous sites in molecular biomarker.
Proceedings of the IEEE 1st International Conference on Computational Advances in Bio and Medical Sciences, 2011

2010
A Graph-Based Algorithm for Mining Multi-Level Patterns in genomic Data.
J. Bioinform. Comput. Biol., 2010

Associative classification using patterns from nested granules.
Int. J. Granul. Comput. Rough Sets Intell. Syst., 2010

An Evaluation of DNA Barcoding Using Genetic Programming-Based Process.
Proceedings of the Life System Modeling and Intelligent Computing, 2010

Association network modeling from microarray data around fermentation stress response gene NSF1 (YPL230W) using significantly co-expressed gene set.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2010

2009
Multi-value Association Patterns and Data Mining.
Proceedings of the Foundations of Computational Intelligence - Volume 6: Data Mining, 2009

A Granular Hierarchical Approach to Biophysical and Biochemical Evaluations of Transgenic Modifications.
Proceedings of the International Joint Conferences on Bioinformatics, 2009

A Target Tracking Algorithm based on Adaptive Multiple Feature Fusion.
Proceedings of the ICINCO 2009, 2009

2008
MOHCS: Towards Mining Overlapping Highly Connected Subgraphs
CoRR, 2008

Detecting Statistical Covariations of Sequence Physicochemical Properties.
Proceedings of the Advances in Bioinformatics and Computational Biology, 2008

Three related types of multi-value association patterns.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

NHOP: Detecting Descriptive Patterns using Association Pattern Mining.
Proceedings of the 2008 IEEE International Conference on Granular Computing, 2008

Complementary Analysis of High-Order Association Patterns and Classification.
Proceedings of the Twenty-First International Florida Artificial Intelligence Research Society Conference, 2008

2007
MAGMA: An Algorithm for Mining Multi-level Patterns in Genomic Data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2007

2006
An evolutionary clustering algorithm for gene expression microarray data analysis.
IEEE Trans. Evol. Comput., 2006

Self-Assembly Based Models and Computation Algorithms for DNA.
Int. J. Unconv. Comput., 2006

Multipattern Consensus Regions in Multiple Aligned Protein Sequences and Their Segmentation.
EURASIP J. Bioinform. Syst. Biol., 2006

2005
Clustering and re-clustering for Pattern Discovery in Gene Expression Data.
J. Bioinform. Comput. Biol., 2005

Exon Structure Analysis via PCA and ICA of Short-Time Fourier Transform.
Proceedings of the Advances in Natural Computation, First International Conference, 2005

2004
Multiple pattern associations for interpreting structural and functional characteristics of biomolecules.
Inf. Sci., 2004

Evaluation Of Selecting Interval Values Of Input Variables In Connectionist Networks.
Int. J. Comput. Intell. Appl., 2004

2002
Ameliorating Boundary Errors from Quantizing Images with the Discrete Wavelet Transform.
Proceedings of the 6th Joint Conference on Information Science, 2002

Evaluation of Microarray Design for Bacterial Strain Identification.
Proceedings of the 6th Joint Conference on Information Science, 2002

A Non-Time Based Tracking Controller for Multiple Nonholonomic Mobile Robots.
Proceedings of the 2002 IEEE International Conference on Robotics and Automation, 2002

Real-time tracking control with obstacle avoidance of multiple mobile robots.
Proceedings of the 2002 IEEE International Symposium on Intelligent Control, 2002

2001
A discrete-valued clustering algorithm with applications to biomolecular data.
Inf. Sci., 2001

1998
Evaluating Input Dependency in a Feedforward Neural Network.
Proceedings of the Fifth International Conference on Neural Information Processing, 1998

1997
Detecting Themes in Web Document Descriptors.
Proceedings of WebNet 97, 1997

The ck-Nearest Neighbor Distance Network: A Network Using Class Boundary Feature Distances.
Proceedings of the Progress in Connectionist-Based Information Systems: Proceedings of the 1997 International Conference on Neural Information Processing and Intelligent Information Systems, 1997

1996
Pattern detection in biomolecules using synthesized random sequence.
Pattern Recognit., 1996

1995
Texture Comparison Based on Selected Texture Primitives.
Proceedings of the Image Analysis Applications and Computer Graphics, 1995

1994
Learning Sequential Patterns for Probabilistic Inductive Prediction.
IEEE Trans. Syst. Man Cybern. Syst., 1994

1993
Hierarchical maximum entropy partitioning in texture image analysis.
Pattern Recognit. Lett., 1993

A texture-based distance measure for classification.
Pattern Recognit., 1993

A method for inferring probabilistic consensus structure with applications to molecular sequence data.
Pattern Recognit., 1993

Towards an event-space self-configurable neural network.
Proceedings of International Conference on Neural Networks (ICNN'88), San Francisco, CA, USA, March 28, 1993

Representational Issues in Texture Analysis.
Proceedings of the Computer Vision: Systems, Theory and Applications, 1993

1991
Synthesis of Statistical Knowledge from Time-Dependent Data.
IEEE Trans. Pattern Anal. Mach. Intell., 1991

Inferring consensus structure from nucleic acid sequences.
Comput. Appl. Biosci., 1991

A consensus structure inference algorithm.
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1991

Information Discovery through Hierarchical Maximum Entropy Discretization and Synthesis.
Proceedings of the Knowledge Discovery in Databases, 1991

1990
Information synthesis based on hierarchical maximum entropy discretization.
J. Exp. Theor. Artif. Intell., 1990

1988
OBSERVER: A Probabilistic Learning System for Ordered Events.
Proceedings of the Pattern Recognition, 1988

1987
An event-covering method for effective probabilistic inference.
Pattern Recognit., 1987

Synthesizing Statistical Knowledge from Incomplete Mixed-Mode Data.
IEEE Trans. Pattern Anal. Mach. Intell., 1987

1986
Synthesizing Knowledge: A Cluster Analysis Approach Using Event Covering.
IEEE Trans. Syst. Man Cybern., 1986


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