Zhi-Hua Zhou

According to our database1, Zhi-Hua Zhou authored at least 410 papers between 1999 and 2019.

Collaborative distances:

Awards

ACM Fellow

ACM Fellow 2016, "For contributions to machine learning and data mining".

IEEE Fellow

IEEE Fellow 2013, "For contributions to learning systems in data mining and pattern recognition".

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
Other 

Links

Homepages:

On csauthors.net:

Bibliography

2019
Unsupervised object discovery and co-localization by deep descriptor transformation.
Pattern Recognition, 2019

What Makes Objects Similar: A Unified Multi-Metric Learning Approach.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

Lowest probability mass neighbour algorithms: relaxing the metric constraint in distance-based neighbourhood algorithms.
Machine Learning, 2019

Learning to Generate Posters of Scientific Papers by Probabilistic Graphical Models.
J. Comput. Sci. Technol., 2019

Launch of the Excellent Young Computer Scientists Forum.
Frontiers Comput. Sci., 2019

On repeated stackelberg security game with the cooperative human behavior model for wildlife protection.
Appl. Intell., 2019

Towards One Reusable Model for Various Software Defect Mining Tasks.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

2018
Ensemble.
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Boosting.
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Reusable Reinforcement Learning via Shallow Trails.
IEEE Trans. Neural Netw. Learning Syst., 2018

Multi-Label Learning with Global and Local Label Correlation.
IEEE Trans. Knowl. Data Eng., 2018

Constrained Monotone k-Submodular Function Maximization Using Multiobjective Evolutionary Algorithms With Theoretical Guarantee.
IEEE Trans. Evolutionary Computation, 2018

One-Pass Learning with Incremental and Decremental Features.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Meta-Interpretive Learning from noisy images.
Machine Learning, 2018

Crowdsourcing with unsure option.
Machine Learning, 2018

Structural diversity for decision tree ensemble learning.
Frontiers Comput. Sci., 2018

Analyzing Evolutionary Optimization in Noisy Environments.
Evolutionary Computation, 2018

On the Effectiveness of Sampling for Evolutionary Optimization in Noisy Environments.
Evolutionary Computation, 2018

Anomaly Detection with Partially Observed Anomalies.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Social Stream Classification with Emerging New Labels.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

\ell_1-regression with Heavy-tailed Distributions.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Adaptive Online Learning in Dynamic Environments.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Unorganized Malicious Attacks Detection.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Multi-Layered Gradient Boosting Decision Trees.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Preference Based Adaptation for Learning Objectives.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Isolation Kernel and Its Effect on SVM.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Semi-Supervised Optimal Margin Distribution Machines.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Learning Environmental Calibration Actions for Policy Self-Evolution.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Experienced Optimization with Reusable Directional Model for Hyper-Parameter Search.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Tri-net for Semi-Supervised Deep Learning.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Dynamic Regret of Strongly Adaptive Methods.
Proceedings of the 35th International Conference on Machine Learning, 2018

Rectify Heterogeneous Models with Semantic Mapping.
Proceedings of the 35th International Conference on Machine Learning, 2018

Improving Deep Forest by Confidence Screening.
Proceedings of the IEEE International Conference on Data Mining, 2018

Label Distribution Learning by Optimal Transport.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Optimal Margin Distribution Clustering.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Dual Set Multi-Label Learning.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

AutoEncoder by Forest.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Learning From Semi-Supervised Weak-Label Data.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Multi-label Learning.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Scalable Algorithms for Multi-Instance Learning.
IEEE Trans. Neural Netw. Learning Syst., 2017

Classification Under Streaming Emerging New Classes: A Solution Using Completely-Random Trees.
IEEE Trans. Knowl. Data Eng., 2017

Selective Convolutional Descriptor Aggregation for Fine-Grained Image Retrieval.
IEEE Trans. Image Processing, 2017

2D Feature Selection by Sparse Matrix Regression.
IEEE Trans. Image Processing, 2017

Editorial of the Special Issue on Multi-instance Learning in Pattern Recognition and Vision.
Pattern Recognition, 2017

Introduction: special issue of selected papers from ACML 2015.
Machine Learning, 2017

Foreword: special issue for the journal track of the 8th Asian conference on machine learning (ACML 2016).
Machine Learning, 2017

Crowd intelligence in AI 2.0 era.
Frontiers of IT & EE, 2017

Mining heterogeneous causal effects for personalized cancer treatment.
Bioinformatics, 2017

Multi-View Matrix Completion for Clustering with Side Information.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Subset Selection under Noise.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Learning with Feature Evolvable Streams.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Improved Dynamic Regret for Non-degenerate Functions.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Logical Vision: One-Shot Meta-Interpretive Learning from Real Images.
Proceedings of the Inductive Logic Programming - 27th International Conference, 2017

Deep Forest: Towards An Alternative to Deep Neural Networks.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Multi-Instance Learning with Key Instance Shift.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Incomplete Label Distribution Learning.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Deep Descriptor Transforming for Image Co-Localization.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Obtaining High-Quality Label by Distinguishing between Easy and Hard Items in Crowdsourcing.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Optimizing Ratio of Monotone Set Functions.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Cost-Effective Active Learning from Diverse Labelers.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Storage Fit Learning with Unlabeled Data.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Multi-Class Optimal Margin Distribution Machine.
Proceedings of the 34th International Conference on Machine Learning, 2017

A Unified View of Multi-Label Performance Measures.
Proceedings of the 34th International Conference on Machine Learning, 2017

New Class Adaptation Via Instance Generation in One-Pass Class Incremental Learning.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

BayDNN: Friend Recommendation with Bayesian Personalized Ranking Deep Neural Network.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

POSTER: A PU Learning based System for Potential Malicious URL Detection.
Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security, CCS 2017, Dallas, TX, USA, October 30, 2017

Discover Multiple Novel Labels in Multi-Instance Multi-Label Learning.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Deep Learning for Fixed Model Reuse.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Streaming Classification with Emerging New Class by Class Matrix Sketching.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Learning Safe Prediction for Semi-Supervised Regression.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Deep MIML Network.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Combining Logical Abduction and Statistical Induction: Discovering Written Primitives with Human Knowledge.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Large Margin Distribution Learning with Cost Interval and Unlabeled Data.
IEEE Trans. Knowl. Data Eng., 2016

Modeling of Geographic Dependencies for Real Estate Ranking.
TKDD, 2016

An empirical study on image bag generators for multi-instance learning.
Machine Learning, 2016

Introduction: special issue of selected papers from ACML 2014.
Machine Learning, 2016

Learnware: on the future of machine learning.
Frontiers Comput. Sci., 2016

Launch of the NSFC Excellent Young Scholars Forum.
Frontiers Comput. Sci., 2016

Dropout Rademacher complexity of deep neural networks.
SCIENCE CHINA Information Sciences, 2016

One-pass AUC optimization.
Artif. Intell., 2016

Facial Age Estimation by Total Ordering Preserving Projection.
Proceedings of the PRICAI 2016: Trends in Artificial Intelligence, 2016

Selection Hyper-heuristics Can Provably Be Helpful in Evolutionary Multi-objective Optimization.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

What Makes Objects Similar: A Unified Multi-Metric Learning Approach.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Overcoming Key Weaknesses of Distance-based Neighbourhood Methods using a Data Dependent Dissimilarity Measure.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

User Identity Linkage by Latent User Space Modelling.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Cost-Saving Effect of Crowdsourcing Learning.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Parallel Pareto Optimization for Subset Selection.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Transductive Optimization of Top k Precision.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Graph Quality Judgement: A Large Margin Expedition.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Learning Unified Features from Natural and Programming Languages for Locating Buggy Source Code.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

A Lower Bound Analysis of Population-Based Evolutionary Algorithms for Pseudo-Boolean Functions.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2016, 2016

Online Stochastic Linear Optimization under One-bit Feedback.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Multi-label Learning with Emerging New Labels.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Sparse Learning for Large-Scale and High-Dimensional Data: A Randomized Convex-Concave Optimization Approach.
Proceedings of the Algorithmic Learning Theory - 27th International Conference, 2016

Learnability of Non-I.I.D.
Proceedings of The 8th Asian Conference on Machine Learning, 2016

Learning Expected Hitting Time Distance.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Learning to Generate Posters of Scientific Papers.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Towards Safe Semi-Supervised Learning for Multivariate Performance Measures.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Column Sampling Based Discrete Supervised Hashing.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Risk Minimization in the Presence of Label Noise.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Stochastic Optimization for Kernel PCA.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Machine Learning.
Proceedings of the Springer Handbook of Computational Intelligence, 2015

Ensemble Learning.
Proceedings of the Encyclopedia of Biometrics, Second Edition, 2015

Robust Design Space Modeling.
ACM Trans. Design Autom. Electr. Syst., 2015

Partially Shared Latent Factor Learning With Multiview Data.
IEEE Trans. Neural Netw. Learning Syst., 2015

Pairwised Specific Distance Learning from Physical Linkages.
TKDD, 2015

Switch Analysis for Running Time Analysis of Evolutionary Algorithms.
IEEE Trans. Evolutionary Computation, 2015

Crowdsourcing label quality: a theoretical analysis.
SCIENCE CHINA Information Sciences, 2015

Variable solution structure can be helpful in evolutionary optimization.
SCIENCE CHINA Information Sciences, 2015

Subset Selection by Pareto Optimization.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Multi-label Selective Ensemble.
Proceedings of the Multiple Classifier Systems - 12th International Workshop, 2015

Logical Vision: Meta-Interpretive Learning for Simple Geometrical Concepts.
Proceedings of the Late Breaking Papers of the 25th International Conference on Inductive Logic Programming, 2015

Active Learning from Crowds with Unsure Option.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

On Constrained Boolean Pareto Optimization.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Multi-Label Active Learning: Query Type Matters.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

On the Consistency of AUC Pairwise Optimization.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

CUR Algorithm for Partially Observed Matrices.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Rank Consistency based Multi-View Learning: A Privacy-Preserving Approach.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

A Simple Homotopy Algorithm for Compressive Sensing.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

One-Pass Multi-View Learning.
Proceedings of The 7th Asian Conference on Machine Learning, 2015

Statistical Unfolded Logic Learning.
Proceedings of The 7th Asian Conference on Machine Learning, 2015

Pareto Ensemble Pruning.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Structured Sparsity with Group-Graph Regularization.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Online Bandit Learning for a Special Class of Non-Convex Losses.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
A Review on Multi-Label Learning Algorithms.
IEEE Trans. Knowl. Data Eng., 2014

B-Planner: Planning Bidirectional Night Bus Routes Using Large-Scale Taxi GPS Traces.
IEEE Trans. Intelligent Transportation Systems, 2014

Genome-Wide Protein Function Prediction through Multi-Instance Multi-Label Learning.
IEEE/ACM Trans. Comput. Biology Bioinform., 2014

Editorial to the Special Issue of Selected Papers of SDM 2013.
Statistical Analysis and Data Mining, 2014

Special issue on the Sino-foreign-interchange workshop on intelligence science and intelligent data engineering.
Neurocomputing, 2014

Automated annotation of developmental stages of Drosophila embryos in images containing spatial patterns of expression.
Bioinformatics, 2014

On the Effectiveness of Sampling for Evolutionary Optimization in Noisy Environments.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIII, 2014

Top Rank Optimization in Linear Time.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Large margin distribution machine.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Meta-path based multi-network collective link prediction.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Exploiting geographic dependencies for real estate appraisal: a mutual perspective of ranking and clustering.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

ArchRanker: A ranking approach to design space exploration.
Proceedings of the ACM/IEEE 41st International Symposium on Computer Architecture, 2014

Scalable Multi-instance Learning.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Location semantics prediction for living analytics by mining smartphone data.
Proceedings of the International Conference on Data Science and Advanced Analytics, 2014

Napping for functional representation of policy.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

Large Margin Distribution Learning.
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2014

Learning with Augmented Multi-Instance View.
Proceedings of the Sixth Asian Conference on Machine Learning, 2014

Multi-Instance Learning with Distribution Change.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Labeling Complicated Objects: Multi-View Multi-Instance Multi-Label Learning.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Partial Multi-View Clustering.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Fast Multi-Instance Multi-Label Learning.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Learning with Augmented Class by Exploiting Unlabeled Data.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Transductive Multilabel Learning via Label Set Propagation.
IEEE Trans. Knowl. Data Eng., 2013

Improved Bounds for the Nyström Method With Application to Kernel Classification.
IEEE Trans. Information Theory, 2013

Effective and efficient microprocessor design space exploration using unlabeled design configurations.
ACM TIST, 2013

Sequence-Based Prediction of microRNA-Binding Residues in Proteins Using Cost-Sensitive Laplacian Support Vector Machines.
IEEE/ACM Trans. Comput. Biology Bioinform., 2013

A literature survey on robust and efficient eye localization in real-life scenarios.
Pattern Recognition, 2013

Efficient Optimization of Performance Measures by Classifier Adaptation.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

Facial Age Estimation by Learning from Label Distributions.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

Introduction: special issue of selected papers of ACML 2012.
Machine Learning, 2013

Resource Allocation for Heterogeneous Cognitive Radio Networks with Imperfect Spectrum Sensing.
IEEE Journal on Selected Areas in Communications, 2013

Convex and scalable weakly labeled SVMs.
Journal of Machine Learning Research, 2013

A spectral approach to detecting subtle anomalies in graphs.
J. Intell. Inf. Syst., 2013

On the doubt about margin explanation of boosting.
Artif. Intell., 2013

Self-Practice Imitation Learning from Weak Policy.
Proceedings of the Partially Supervised Learning - Second IAPR International Workshop, 2013

B-Planner: Night bus route planning using large-scale taxi GPS traces.
Proceedings of the 2013 IEEE International Conference on Pervasive Computing and Communications, 2013

Speedup Matrix Completion with Side Information: Application to Multi-Label Learning.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Selective Ensemble of Classifier Chains.
Proceedings of the Multiple Classifier Systems, 11th International Workshop, 2013

Exploiting Label Relationship in Multi-Label Learning.
Proceedings of the 3rd Workshop on Ubiquitous Data Mining co-located with the 23rd International Joint Conference on Artificial Intelligence (IJCAI 2013), 2013

On the Approximation Ability of Evolutionary Optimization with Application to Minimum Set Cover: Extended Abstract.
Proceedings of the IJCAI 2013, 2013

Multi-Instance Multi-Label Learning with Weak Label.
Proceedings of the IJCAI 2013, 2013

Multi-Modal Image Annotation with Multi-Instance Multi-Label LDA.
Proceedings of the IJCAI 2013, 2013

Uniform Convergence, Stability and Learnability for Ranking Problems.
Proceedings of the IJCAI 2013, 2013

One-Pass AUC Optimization.
Proceedings of the 30th International Conference on Machine Learning, 2013

Learning Imbalanced Multi-class Data with Optimal Dichotomy Weights.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Active Query Driven by Uncertainty and Diversity for Incremental Multi-label Learning.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Co-Training with Insufficient Views.
Proceedings of the Asian Conference on Machine Learning, 2013

Multi-Label Learning with PRO Loss.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012
New Semi-Supervised Classification Method Based on Modified Cluster Assumption.
IEEE Trans. Neural Netw. Learning Syst., 2012

Isolation-Based Anomaly Detection.
TKDD, 2012

Introduction to the Special Section on Distance Metric Learning in Intelligent Systems.
ACM TIST, 2012

Drosophila Gene Expression Pattern Annotation through Multi-Instance Multi-Label Learning.
IEEE/ACM Trans. Comput. Biology Bioinform., 2012

Non-Parametric Kernel Learning with robust pairwise constraints.
Int. J. Machine Learning & Cybernetics, 2012

Introduction to the special issue on learning from multi-label data.
Machine Learning, 2012

Key Instance Detection in Multi-Instance Learning.
Proceedings of the 4th Asian Conference on Machine Learning, 2012

Examining spectral space of complex networks with positive and negative links.
IJSNM, 2012

Learning Sparse Representations for Fruit-Fly Gene Expression Pattern Image Annotation and Retrieval.
BMC Bioinformatics, 2012

Sample-based software defect prediction with active and semi-supervised learning.
Autom. Softw. Eng., 2012

Multi-instance multi-label learning.
Artif. Intell., 2012

On the approximation ability of evolutionary optimization with application to minimum set cover.
Artif. Intell., 2012

On Algorithm-Dependent Boundary Case Identification for Problem Classes.
Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012

Diversity Regularized Ensemble Pruning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Building Decision Trees for the Multi-class Imbalance Problem.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012

Nyström Method vs Random Fourier Features: A Theoretical and Empirical Comparison.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Semi-supervised multi-instance multi-label learning for video annotation task.
Proceedings of the 20th ACM Multimedia Conference, MM '12, Nara, Japan, October 29, 2012

Multi-label hypothesis reuse.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Resource allocation for heterogeneous multiuser OFDM-based cognitive radio networks with imperfect spectrum sensing.
Proceedings of the IEEE INFOCOM 2012, Orlando, FL, USA, March 25-30, 2012, 2012

Exploitation of label relationship in multi-label learning.
Proceedings of the 2012 IEEE International Conference on Granular Computing, 2012

Unsupervised metric fusion by cross diffusion.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Disagreement-Based Multi-system Tracking.
Proceedings of the Computer Vision - ACCV 2012 Workshops, 2012

Towards Discovering What Patterns Trigger What Labels.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

Multi-Label Learning by Exploiting Label Correlations Locally.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011
CoTrade: Confident Co-Training With Data Editing.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2011

Quantitative Analysis of Nonlinear Embedding.
IEEE Trans. Neural Networks, 2011

When Does Cotraining Work in Real Data?
IEEE Trans. Knowl. Data Eng., 2011

A conversation with Professor Zhi-Hua Zhou.
SIGKDD Explorations, 2011

Special edition on semi-supervised learning for visual content analysis and understanding.
Pattern Recognition, 2011

A Refined Margin Analysis for Boosting Algorithms via Equilibrium Margin.
Journal of Machine Learning Research, 2011

On the Consistency of Multi-Label Learning.
Proceedings of the COLT 2011, 2011

Software Defect Detection with Rocus.
J. Comput. Sci. Technol., 2011

Fast Power Allocation Algorithm for Cognitive Radio Networks.
IEEE Communications Letters, 2011

Unlabeled Data and Multiple Views.
Proceedings of the Partially Supervised Learning - First IAPR TC3 Workshop, 2011

Spectral Analysis of k-Balanced Signed Graphs.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

Towards Cost-Sensitive Learning for Real-World Applications.
Proceedings of the New Frontiers in Applied Data Mining, 2011

Ensemble multi-instance multi-label learning approach for video annotation task.
Proceedings of the 19th International Conference on Multimedia 2011, Scottsdale, AZ, USA, November 28, 2011

Ensemble approach based on conditional random field for multi-label image and video annotation.
Proceedings of the 19th International Conference on Multimedia 2011, Scottsdale, AZ, USA, November 28, 2011

Cost-Sensitive Learning.
Proceedings of the Modeling Decision for Artificial Intelligence, 2011

Diversity Regularized Machine.
Proceedings of the IJCAI 2011, 2011

Line Orthogonality in Adjacency Eigenspace with Application to Community Partition.
Proceedings of the IJCAI 2011, 2011

Local and Structural Consistency for Multi-Manifold Clustering.
Proceedings of the IJCAI 2011, 2011

Effective and Efficient Microprocessor Design Space Exploration Using Unlabeled Design Configurations.
Proceedings of the IJCAI 2011, 2011

Towards Making Unlabeled Data Never Hurt.
Proceedings of the 28th International Conference on Machine Learning, 2011

A Taxi Driving Fraud Detection System.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Lifted-Rollout for Approximate Policy Iteration of Markov Decision Process.
Proceedings of the Data Mining Workshops (ICDMW), 2011

iBAT: detecting anomalous taxi trajectories from GPS traces.
Proceedings of the UbiComp 2011: Ubiquitous Computing, 13th International Conference, 2011

Collisions are helpful for computing unique input-output sequences.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

An analysis on recombination in multi-objective evolutionary optimization.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Localized K-Flats.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

Improving Semi-Supervised Support Vector Machines Through Unlabeled Instances Selection.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010
Generalized low-rank approximations of matrices revisited.
IEEE Trans. Neural Networks, 2010

Multi-View Video Summarization.
IEEE Trans. Multimedia, 2010

Multilabel dimensionality reduction via dependence maximization.
TKDD, 2010

Understanding bag-of-words model: a statistical framework.
Int. J. Machine Learning & Cybernetics, 2010

Semi-supervised learning by disagreement.
Knowl. Inf. Syst., 2010

Preface.
J. Comput. Sci. Technol., 2010

Editorial.
Intell. Data Anal., 2010

Social Learning.
IEEE Intelligent Systems, 2010

Exploiting remote learners in Internet environment with agents.
SCIENCE CHINA Information Sciences, 2010

Corrigendum to "Ensembling neural networks: Many could be better than all" [Artificial Intelligence 137 (1-2) (2002) 239-263].
Artif. Intell., 2010

Multi-manifold Clustering.
Proceedings of the PRICAI 2010: Trends in Artificial Intelligence, 2010

Towards Analyzing Recombination Operators in Evolutionary Search.
Proceedings of the Parallel Problem Solving from Nature, 2010

On Detecting Clustered Anomalies Using SCiForest.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Multi-View Active Learning in the Non-Realizable Case.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Active Learning by Querying Informative and Representative Examples.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Multi-information Ensemble Diversity.
Proceedings of the Multiple Classifier Systems, 9th International Workshop, 2010

Learning with cost intervals.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

A New Analysis of Co-Training.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Exploiting Unlabeled Data to Enhance Ensemble Diversity.
Proceedings of the ICDM 2010, 2010

Top-Eye: top-k evolving trajectory outlier detection.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

Approximation Stability and Boosting.
Proceedings of the Algorithmic Learning Theory, 21st International Conference, 2010

Multi-Label Learning with Weak Label.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

Multi-Instance Dimensionality Reduction.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

Cost-Sensitive Semi-Supervised Support Vector Machine.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

Facial Age Estimation by Learning from Label Distributions.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009
Ensemble.
Proceedings of the Encyclopedia of Database Systems, 2009

Boosting.
Proceedings of the Encyclopedia of Database Systems, 2009

Ensemble Learning.
Proceedings of the Encyclopedia of Biometrics, 2009

Exploratory Undersampling for Class-Imbalance Learning.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2009

Image Retargeting Using Mesh Parametrization.
IEEE Trans. Multimedia, 2009

Face recognition under occlusions and variant expressions with partial similarity.
IEEE Trans. Information Forensics and Security, 2009

Mining extremely small data sets with application to software reuse.
Softw., Pract. Exper., 2009

Editorial: special issue on selected papers of PAKDD 2007.
Knowl. Inf. Syst., 2009

Tighter and Convex Maximum Margin Clustering.
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

Semi-supervised document retrieval.
Inf. Process. Manage., 2009

Preface.
Int. J. Software and Informatics, 2009

A bag-of-words approach for Drosophila gene expression pattern annotation.
BMC Bioinformatics, 2009

Multi-instance clustering with applications to multi-instance prediction.
Appl. Intell., 2009

A Convex Method for Locating Regions of Interest with Multi-instance Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

Budget Semi-supervised Learning.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

When does Co-training Work in Real Data?.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

Face image modeling by multilinear subspace analysis with missing values.
Proceedings of the 17th International Conference on Multimedia 2009, 2009

When Semi-supervised Learning Meets Ensemble Learning.
Proceedings of the Multiple Classifier Systems, 8th International Workshop, 2009

Selective Ensemble under Regularization Framework.
Proceedings of the Multiple Classifier Systems, 8th International Workshop, 2009

Drosophila gene expression pattern annotation using sparse features and term-term interactions.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Non-Metric Label Propagation.
Proceedings of the IJCAI 2009, 2009

Exploiting Multi-Modal Interactions: A Unified Framework.
Proceedings of the IJCAI 2009, 2009

DrosophilaGene Expression Pattern Annotation through Multi-Instance Multi-Label Learning.
Proceedings of the IJCAI 2009, 2009

Multi-instance learning by treating instances as non-I.I.D. samples.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Learning instance specific distances using metric propagation.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Semi-supervised learning using label mean.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Least Square Incremental Linear Discriminant Analysis.
Proceedings of the ICDM 2009, 2009

Semi-naive Exploitation of One-Dependence Estimators.
Proceedings of the ICDM 2009, 2009

Enhanced Pictorial Structures for precise eye localization under incontrolled conditions.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

Learning a distance metric from multi-instance multi-label data.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

A Framework for Machine Learning with Ambiguous Objects.
Proceedings of the Brain Informatics, International Conference, BI 2009, 2009

A Framework for Machine Learning with Ambiguous Objects.
Proceedings of the Active Media Technology, 5th International Conference, 2009

2008
Improving Web search using image snippets.
ACM Trans. Internet Techn., 2008

Individual Stable Space: An Approach to Face Recognition Under Uncontrolled Conditions.
IEEE Trans. Neural Networks, 2008

Constraint Score: A new filter method for feature selection with pairwise constraints.
Pattern Recognition, 2008

Correction to "Automatic Age Estimation Based on Facial Aging Patterns".
IEEE Trans. Pattern Anal. Mach. Intell., 2008

Top 10 algorithms in data mining.
Knowl. Inf. Syst., 2008

Spectrum of Variable-Random Trees.
J. Artif. Intell. Res., 2008

A Framework for Modeling Positive Class Expansion with Single Snapshot.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008

Mining Bulletin Board Systems Using Community Generation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008

Facial age estimation by nonlinear aging pattern subspace.
Proceedings of the 16th International Conference on Multimedia 2008, 2008

On multi-view active learning and the combination with semi-supervised learning.
Proceedings of the Machine Learning, 2008

M3MIML: A Maximum Margin Method for Multi-instance Multi-label Learning.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

TEFE: A Time-Efficient Approach to Feature Extraction.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Isolation Forest.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Semi-supervised Learning by Disagreement.
Proceedings of the 2008 IEEE International Conference on Granular Computing, 2008

Cost-sensitive face recognition.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

On the Margin Explanation of Boosting Algorithms.
Proceedings of the 21st Annual Conference on Learning Theory, 2008

On the usefulness of infeasible solutions in evolutionary search: A theoretical study.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

Multi-Label Dimensionality Reduction via Dependence Maximization.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

Constraint Projections for Ensemble Learning.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007
Improve Computer-Aided Diagnosis With Machine Learning Techniques Using Undiagnosed Samples.
IEEE Trans. Systems, Man, and Cybernetics, Part A, 2007

Semisupervised Regression with Cotraining-Style Algorithms.
IEEE Trans. Knowl. Data Eng., 2007

ML-KNN: A lazy learning approach to multi-label learning.
Pattern Recognition, 2007

Automatic Age Estimation Based on Facial Aging Patterns.
IEEE Trans. Pattern Anal. Mach. Intell., 2007

Solving multi-instance problems with classifier ensemble based on constructive clustering.
Knowl. Inf. Syst., 2007

Predicting Future Customers via Ensembling Gradually Expanded Trees.
IJDWM, 2007

Entropy-Inspired Competitive Clustering Algorithms.
Int. J. Software and Informatics, 2007

Guest Editorial to the Special Issue on Advances of Artificial Intelligence and Knowledge Engineering in China.
Comput. J., 2007

Semi-Supervised Dimensionality Reduction.
Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

Applications of Data Mining in E-Business Finance: Introduction.
Proceedings of the Applications of Data Mining in E-Business and Finance, 2007

Exploiting Image Contents in Web Search.
Proceedings of the IJCAI 2007, 2007

On the relation between multi-instance learning and semi-supervised learning.
Proceedings of the Machine Learning, 2007

Cocktail Ensemble for Regression.
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

Analyzing Co-training Style Algorithms.
Proceedings of the Machine Learning: ECML 2007, 2007

Structure Learning of Probabilistic Relational Models from Incomplete Relational Data.
Proceedings of the Machine Learning: ECML 2007, 2007

Single Image Subspace for Face Recognition.
Proceedings of the Analysis and Modeling of Faces and Gestures, 2007

Mining Ambiguous Data with Multi-instance Multi-label Representation.
Proceedings of the Advanced Data Mining and Applications, Third International Conference, 2007

Semi-Supervised Learning with Very Few Labeled Training Examples.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

Multi-Label Learning by Instance Differentiation.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006
Enhancing relevance feedback in image retrieval using unlabeled data.
ACM Trans. Inf. Syst., 2006

Training Cost-Sensitive Neural Networks with Methods Addressing the Class Imbalance Problem.
IEEE Trans. Knowl. Data Eng., 2006

Multi-Label Neural Networks with Applications to Functional Genomics and Text Categorization.
IEEE Trans. Knowl. Data Eng., 2006

Diagonal principal component analysis for face recognition.
Pattern Recognition, 2006

Learning the kernel parameters in kernel minimum distance classifier.
Pattern Recognition, 2006

Face recognition from a single image per person: A survey.
Pattern Recognition, 2006

Adapting RBF Neural Networks to Multi-Instance Learning.
Neural Processing Letters, 2006

Guest Editors' introduction to the special issue: machine learning approaches to multimedia information retrieval.
Multimedia Syst., 2006

Clusterer ensemble.
Knowl.-Based Syst., 2006

Multi-Instance Learning from Supervised View.
J. Comput. Sci. Technol., 2006

Image Region Selection and Ensemble for Face Recognition.
J. Comput. Sci. Technol., 2006

Recognizing Face or Object from a Single Image: Linear vs. Kernel Methods on 2D Patterns.
Proceedings of the Structural, 2006

Learning with Unlabeled Data and Its Application to Image Retrieval.
Proceedings of the PRICAI 2006: Trends in Artificial Intelligence, 2006

Non-negative Matrix Factorization on Kernels.
Proceedings of the PRICAI 2006: Trends in Artificial Intelligence, 2006

Uncontrolled Face Recognition by Individual Stable Neural Network.
Proceedings of the PRICAI 2006: Trends in Artificial Intelligence, 2006

Neighbor Line-Based Locally Linear Embedding.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2006

Generation of Comprehensible Hypotheses from Gene Expression Data.
Proceedings of the Data Mining for Biomedical Applications, PAKDD 2006 Workshop, 2006

Multi-Instance Multi-Label Learning with Application to Scene Classification.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Learning from facial aging patterns for automatic age estimation.
Proceedings of the 14th ACM International Conference on Multimedia, 2006

Ensemble-Based Discriminant Manifold Learning for Face Recognition.
Proceedings of the Advances in Natural Computation, Second International Conference, 2006

Query-Sensitive Similarity Measure for Content-Based Image Retrieval.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Adaptive Kernel Principal Component Analysis with Unsupervised Learning of Kernels.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

The Influence of Class Imbalance on Cost-Sensitive Learning: An Empirical Study.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Exploratory Under-Sampling for Class-Imbalance Learning.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Distributional Features for Text Categorization.
Proceedings of the Machine Learning: ECML 2006, 2006

Learning Non-Metric Partial Similarity Based on Maximal Margin Criterion.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

On Multi-Class Cost-Sensitive Learning.
Proceedings of the Proceedings, 2006

A New Approach to Estimating the Expected First Hitting Time of Evolutionary Algorithms.
Proceedings of the Proceedings, 2006

Improve Web Search Using Image Snippets.
Proceedings of the Proceedings, 2006

2005
Ensembling local learners ThroughMultimodal perturbation.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2005

Supervised nonlinear dimensionality reduction for visualization and classification.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2005

Recognizing partially occluded, expression variant faces from single training image per person with SOM and soft k-NN ensemble.
IEEE Trans. Neural Networks, 2005

Tri-Training: Exploiting Unlabeled Data Using Three Classifiers.
IEEE Trans. Knowl. Data Eng., 2005

Adapt Bagging to Nearest Neighbor Classifiers.
J. Comput. Sci. Technol., 2005

(2D)2PCA: Two-directional two-dimensional PCA for efficient face representation and recognition.
Neurocomputing, 2005

A unified SWSI-KAMs framework and performance evaluation on face recognition.
Neurocomputing, 2005

Multi-Instance Learning Based Web Mining.
Appl. Intell., 2005

A new face recognition method based on SVD perturbation for single example image per person.
Applied Mathematics and Computation, 2005

Dependency Bagging.
Proceedings of the Rough Sets, 2005

Feature Selection for High Dimensional Face Image Using Self-organizing Maps.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2005

SETRED: Self-training with Editing.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2005

Spiculated Lesion Detection in Digital Mammogram Based on Artificial Neural Network Ensemble.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

Semi-Supervised Regression with Co-Training.
Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

An Intelligent Medical Image Understanding Method Using Two-Tier Neural Network Ensembles.
Proceedings of the Innovations in Applied Artificial Intelligence, 2005

A k-nearest neighbor based algorithm for multi-label classification.
Proceedings of the 2005 IEEE International Conference on Granular Computing, 2005

Locating Regions of Interest in CBIR with Multi-instance Learning Techniques.
Proceedings of the AI 2005: Advances in Artificial Intelligence, 2005

Two-Dimensional Non-negative Matrix Factorization for Face Representation and Recognition.
Proceedings of the Analysis and Modelling of Faces and Gestures, 2005

2004
NeC4.5: Neural Ensemble Based C4.5.
IEEE Trans. Knowl. Data Eng., 2004

Enhanced (PC)2 A for face recognition with one training image per person
Pattern Recognition Letters, 2004

Projection functions for eye detection.
Pattern Recognition, 2004

Making FLDA applicable to face recognition with one sample per person.
Pattern Recognition, 2004

Improve Multi-Instance Neural Networks through Feature Selection.
Neural Processing Letters, 2004

SOM Ensemble-Based Image Segmentation.
Neural Processing Letters, 2004

Rule Extraction: Using Neural Networks or for Neural Networks?
J. Comput. Sci. Technol., 2004

Artificial intelligence in medicine in China.
Artificial Intelligence in Medicine, 2004

Analyzing Magnification Factors and Principal Spread Directions in Manifold Learning.
Proceedings of the Applied Soft Computing Technologies: The Challenge of Complexity, Proceedings of the 9th Online World Conference on Soft Computing in Industrial Applications (WSC9), September 20th, 2004

Unified Locally Linear Embedding and Linear Discriminant Analysis Algorithm (ULLELDA) for Face Recognition.
Proceedings of the Advances in Biometric Person Authentication, 2004

On the Size of Training Set and the Benefit from Ensemble.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2004

Ensembling MML Causal Discovery.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2004

Fuzzy-Kernel Learning Vector Quantization.
Proceedings of the Advances in Neural Networks, 2004

Robust Face Recognition from a Single Training Image per Person with Kernel-Based SOM-Face.
Proceedings of the Advances in Neural Networks, 2004

Progressive Principal Component Analysis.
Proceedings of the Advances in Neural Networks, 2004

Editing Training Data for kNN Classifiers with Neural Network Ensemble.
Proceedings of the Advances in Neural Networks, 2004

Ensembles of Multi-Instance Neural Networks.
Proceedings of the Intelligent Information Processing II, 2004

Exploiting Unlabeled Data in Content-Based Image Retrieval.
Proceedings of the Machine Learning: ECML 2004, 2004

Meta-game Equilibrium for Multi-agent Reinforcement Learning.
Proceedings of the AI 2004: Advances in Artificial Intelligence, 2004

2003
Medical diagnosis with C4.5 rule preceded by artificial neural network ensemble.
IEEE Trans. Information Technology in Biomedicine, 2003

Efficient face candidates selector for face detection.
Pattern Recognition, 2003

Evolving Fault-Tolerant Neural Networks.
Neural Computing and Applications, 2003

Virtual Creatures Controlled by Developmental and Evolutionary CPM Neural Networks.
Intelligent Automation & Soft Computing, 2003

Extracting symbolic rules from trained neural network ensembles.
AI Commun., 2003

Three perspectives of data mining.
Artif. Intell., 2003

Selective Ensemble of Decision Trees.
Proceedings of the Rough Sets, 2003

SOM Based Image Segmentation.
Proceedings of the Rough Sets, 2003

A Novel Bag Generator for Image Database Retrieval With Multi-Instance Learning Techniques.
Proceedings of the 15th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2003), 2003

Ensembles of Multi-instance Learners.
Proceedings of the Machine Learning: ECML 2003, 2003

2002
Face recognition with one training image per person.
Pattern Recognition Letters, 2002

Hybrid decision tree.
Knowl.-Based Syst., 2002

Lung cancer cell identification based on artificial neural network ensembles.
Artificial Intelligence in Medicine, 2002

Artificial Neural Networks in Biomedicine - Paulo J.G. Lisboa, Emmanuel C. Ifeachor and Piotr S. Szczepaniak (Eds.), Springer-Verlag, London, 2000, ISBN 1-85233-005-8.
Artificial Intelligence in Medicine, 2002

Ensembling neural networks: Many could be better than all.
Artif. Intell., 2002

The Application of Visualization and Neural Network Techniques in a Power Transformer Condition Monitoring System.
Proceedings of the Developments in Applied Artificial Intelligence, 2002

2001
Combining Regression Estimators: GA-Based Selective Neural Network Ensemble.
International Journal of Computational Intelligence and Applications, 2001

An Approach for Data Filtering Based on Rough Set Theory.
Proceedings of the Advances in Web-Age Information Management, 2001

Genetic Algorithm based Selective Neural Network Ensemble.
Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, 2001

2000
FANNC: A Fast Adaptive Neural Network Classifier.
Knowl. Inf. Syst., 2000

A general neural framework for classification rule mining.
Int. J. Comput. Syst. Signal, 2000

A Statistics Based Approach for Extracting Priority Rules from Trained Neural Networks.
IJCNN (3), 2000

Using Neural Networks for Fault Diagnosis.
IJCNN (5), 2000

Pose Invariant Face Recognition.
Proceedings of the 4th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2000), 2000

1999
Mining Typhoon Knowledge with Neural Networks.
Proceedings of the 11th IEEE International Conference on Tools with Artificial Intelligence, 1999

FANRE: A Fast Adaptive Neural Regression Estimator.
Proceedings of the Advanced Topics in Artificial Intelligence, 1999


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