Yang Gao

According to our database1, Yang Gao authored at least 179 papers between 2003 and 2021.

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Bibliography

2021
GreyReID: A Novel Two-stream Deep Framework with RGB-grey Information for Person Re-identification.
ACM Trans. Multim. Comput. Commun. Appl., 2021

An Optimal Algorithm for the Stochastic Bandits While Knowing the Near-Optimal Mean Reward.
IEEE Trans. Neural Networks Learn. Syst., 2021

Crossover-Net: Leveraging vertical-horizontal crossover relation for robust medical image segmentation.
Pattern Recognit., 2021

Synergistic learning of lung lobe segmentation and hierarchical multi-instance classification for automated severity assessment of COVID-19 in CT images.
Pattern Recognit., 2021

Multiset Feature Learning for Highly Imbalanced Data Classification.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

A novel multiple instance learning framework for COVID-19 severity assessment via data augmentation and self-supervised learning.
Medical Image Anal., 2021

Mutual-information-inspired heuristics for constraint-based causal structure learning.
Inf. Sci., 2021

Parameter identification of DC arc models using chaotic quantum cuckoo search.
Appl. Soft Comput., 2021

Interactive medical image segmentation via a point-based interaction.
Artif. Intell. Medicine, 2021

2020
Leveraging Coupled Interaction for Multimodal Alzheimer's Disease Diagnosis.
IEEE Trans. Neural Networks Learn. Syst., 2020

An Effective MR-Guided CT Network Training for Segmenting Prostate in CT Images.
IEEE J. Biomed. Health Informatics, 2020

Progressive Cross-Camera Soft-Label Learning for Semi-Supervised Person Re-Identification.
IEEE Trans. Circuits Syst. Video Technol., 2020

A Universal Method of Linear Approximation With Controllable Error for the Efficient Implementation of Transcendental Functions.
IEEE Trans. Circuits Syst. I Regul. Pap., 2020

CariGAN: Caricature generation through weakly paired adversarial learning.
Neural Networks, 2020

Robust neighborhood embedding for unsupervised feature selection.
Knowl. Based Syst., 2020

A novel fault propagation path identification inference algorithm using parent nodes filter.
Int. J. Data Sci. Anal., 2020

Contextual Bandits With Hidden Features to Online Recommendation via Sparse Interactions.
IEEE Intell. Syst., 2020

CariMe: Unpaired Caricature Generation with Multiple Exaggerations.
CoRR, 2020

Learning-based Computer-aided Prescription Model for Parkinson's Disease: A Data-driven Perspective.
CoRR, 2020

Manifold Alignment for Semantically Aligned Style Transfer.
CoRR, 2020

HF-UNet: Learning Hierarchically Inter-Task Relevance in Multi-Task U-Net for Accurate Prostate Segmentation.
CoRR, 2020

TripletUNet: Multi-Task U-Net with Online Voxel-Wise Learning for Precise CT Prostate Segmentation.
CoRR, 2020

Synergistic Learning of Lung Lobe Segmentation and Hierarchical Multi-Instance Classification for Automated Severity Assessment of COVID-19 in CT Images.
CoRR, 2020

Generalizable Semantic Segmentation via Model-agnostic Learning and Target-specific Normalization.
CoRR, 2020

MW-GAN: Multi-Warping GAN for Caricature Generation with Multi-Style Geometric Exaggeration.
CoRR, 2020

Cross-Domain Adversarial Autoencoder for Fine Grained Category Preserving Image Translation.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Consistent MetaReg: Alleviating Intra-task Discrepancy for Better Meta-knowledge.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Biased Feature Learning for Occlusion Invariant Face Recognition.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Asymmetric Distribution Measure for Few-shot Learning.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Learning Task-aware Local Representations for Few-shot Learning.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Action Semantics Network: Considering the Effects of Actions in Multiagent Systems.
Proceedings of the 8th International Conference on Learning Representations, 2020

Automatic Data Augmentation Via Deep Reinforcement Learning for Effective Kidney Tumor Segmentation.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Unsupervised Domain Attention Adaptation Network for Caricature Attribute Recognition.
Proceedings of the Computer Vision - ECCV 2020, 2020

From Few to More: Large-Scale Dynamic Multiagent Curriculum Learning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Differentiable Meta-Learning Model for Few-Shot Semantic Segmentation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Multi-Agent Game Abstraction via Graph Attention Neural Network.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Layerwise Sparse Coding for Pruned Deep Neural Networks with Extreme Compression Ratio.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Tracking Sparse Linear Classifiers.
IEEE Trans. Neural Networks Learn. Syst., 2019

Pelvic Organ Segmentation Using Distinctive Curve Guided Fully Convolutional Networks.
IEEE Trans. Medical Imaging, 2019

Crossbar-Net: A Novel Convolutional Neural Network for Kidney Tumor Segmentation in CT Images.
IEEE Trans. Image Process., 2019

Recent Advances in Brillouin Optical Time Domain Reflectometry.
Sensors, 2019

Joint multi-label classification and label correlations with missing labels and feature selection.
Knowl. Based Syst., 2019

Learning Bayesian network structures using weakest mutual-information-first strategy.
Int. J. Approx. Reason., 2019

Defensive Few-shot Adversarial Learning.
CoRR, 2019

GreyReID: A Two-stream Deep Framework with RGB-grey Information for Person Re-identification.
CoRR, 2019

Adversarial Camera Alignment Network for Unsupervised Cross-camera Person Re-identification.
CoRR, 2019

A Comprehensive Study of Optical Fiber Acoustic Sensing.
IEEE Access, 2019

MIDCN: A Multiple Instance Deep Convolutional Network for Image Classification.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

A Contextual Bandit Approach to Personalized Online Recommendation via Sparse Interactions.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

NeoLOD: A Novel Generalized Coupled Local Outlier Detection Model Embedded Non-IID Similarity Metric.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Concept Drift Based Multi-dimensional Data Streams Sampling Method.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

DeepMEF: A Deep Model Ensemble Framework for Video Based Multi-modal Person Identification.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

A Novel Deep Multi-Modal Feature Fusion Method for Celebrity Video Identification.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

Value Function Transfer for Deep Multi-Agent Reinforcement Learning Based on N-Step Returns.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Accelerating Nash Q-Learning with Graphical Game Representation and Equilibrium Solving.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

Feature-Selected and -Preserved Sampling for High-Dimensional Stream Data Summary.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

A Mask Based Deep Ranking Neural Network for Person Retrieval.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

A Novel Unsupervised Camera-Aware Domain Adaptation Framework for Person Re-Identification.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Revisiting Local Descriptor Based Image-To-Class Measure for Few-Shot Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Distribution Consistency Based Covariance Metric Networks for Few-Shot Learning.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Joint user knowledge and matrix factorization for recommender systems.
World Wide Web, 2018

Incomplete-Data Oriented Multiview Dimension Reduction via Sparse Low-Rank Representation.
IEEE Trans. Neural Networks Learn. Syst., 2018

Cross-Modal Metric Learning for AUC Optimization.
IEEE Trans. Neural Networks Learn. Syst., 2018

Heterogeneous Face Recognition by Margin-Based Cross-Modality Metric Learning.
IEEE Trans. Cybern., 2018

Transformerless Ultrasonic Ranging System with the Feature of Intrinsic Safety for Explosive Environment.
Sensors, 2018

OPML: A one-pass closed-form solution for online metric learning.
Pattern Recognit., 2018

Active learning with confidence-based answers for crowdsourcing labeling tasks.
Knowl. Based Syst., 2018

Unsupervised Joint Subspace and Dictionary Learning for Enhanced Cross-Domain Person Re-Identification.
IEEE J. Sel. Top. Signal Process., 2018

Online multi-view subspace learning via group structure analysis for visual object tracking.
Distributed Parallel Databases, 2018

Online Deep Metric Learning.
CoRR, 2018

Crossbar-Net: A Novel Convolutional Network for Kidney Tumor Segmentation in CT Images.
CoRR, 2018

Interactive Medical Image Segmentation via Point-Based Interaction and Sequential Patch Learning.
CoRR, 2018

Cross-Domain Adversarial Auto-Encoder.
CoRR, 2018

MaskReID: A Mask Based Deep Ranking Neural Network for Person Re-identification.
CoRR, 2018

Joint Multi-field Siamese Recurrent Neural Network for Entity Resolution.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Online Feature Selection by Adaptive Sub-gradient Methods.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

A Novel Automatic Context-Based Similarity Metric for Local Outlier Detection Tasks.
Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

A Novel Two-Stage Deep Method for Mitosis Detection in Breast Cancer Histology Images.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Feature Learning and Transfer Performance Prediction for Video Reinforcement Learning Tasks via a Siamese Convolutional Neural Network.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

A Novel Image-Specific Transfer Approach for Prostate Segmentation in MR Images.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Modelling Diffusion Process by Deep Neural Networks for Image Retrieval.
Proceedings of the British Machine Vision Conference 2018, 2018

WebCaricature: a benchmark for caricature recognition.
Proceedings of the British Machine Vision Conference 2018, 2018

An Optimal Algorithm for the Stochastic Bandits with Knowing Near-optimal Mean Reward.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

A Joint Local and Global Deep Metric Learning Method for Caricature Recognition.
Proceedings of the Computer Vision - ACCV 2018, 2018

2017
Group-Based Alternating Direction Method of Multipliers for Distributed Linear Classification.
IEEE Trans. Cybern., 2017

Anti-disturbance proportional integral attitude control and stabilization of rolling hydraulic position system.
J. Syst. Control. Eng., 2017

Classification of high-dimensional evolving data streams via a resource-efficient online ensemble.
Data Min. Knowl. Discov., 2017

WebCaricature: a benchmark for caricature face recognition.
CoRR, 2017

Attributes coupling based matrix factorization for item recommendation.
Appl. Intell., 2017

Exploiting Location Significance and User Authority for Point-of-Interest Recommendation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Variation Robust Cross-Modal Metric Learning for Caricature Recognition.
Proceedings of the on Thematic Workshops of ACM Multimedia 2017, Mountain View, CA, USA, October 23, 2017

A Point Says a Lot: An Interactive Segmentation Method for MR Prostate via One-Point Labeling.
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017

Does Manual Delineation only Provide the Side Information in CT Prostate Segmentation?
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Cost-Sensitive Alternating Direction Method of Multipliers for Large-Scale Classification.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2017 - 18th International Conference, Guilin, China, October 30, 2017

Revisiting Metric Learning for SPD Matrix Based Visual Representation.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Beyond IID: Learning to Combine Non-IID Metrics for Vision Tasks.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
A learning-based CT prostate segmentation method via joint transductive feature selection and regression.
Neurocomputing, 2016

Ensemble of Sparse Cross-Modal Metrics for Heterogeneous Face Recognition.
Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Incremental Nonnegative Matrix Factorization Based on Matrix Sketching and k-means Clustering.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2016, 2016

Multi-view Subspace Clustering via a Global Low-Rank Affinity Matrix.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2016, 2016

Grouping Parallel Bayesian Network Structure Learning Algorithm Based on Variable Ordering.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2016, 2016

A Novel Multi-objective Bionic Algorithm Based on Plant Root System Growth Mechanism.
Proceedings of the Intelligent Computing Methodologies - 12th International Conference, 2016

A Fast Distributed Classification Algorithm for Large-Scale Imbalanced Data.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Efficient Average Reward Reinforcement Learning Using Constant Shifting Values.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
MRM-Lasso: A Sparse Multiview Feature Selection Method via Low-Rank Analysis.
IEEE Trans. Neural Networks Learn. Syst., 2015

Semi-Automatic Segmentation of Prostate in CT Images via Coupled Feature Representation and Spatial-Constrained Transductive Lasso.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

Design and analysis of communication scheduling applied in water inrush perception layer of mine internet of things.
Comput. Syst. Sci. Eng., 2015

Interactive image segmentation via cascaded metric learning.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2014
Fast Local Histogram Specification.
IEEE Trans. Circuits Syst. Video Technol., 2014

Bilinear discriminative dictionary learning for face recognition.
Pattern Recognit., 2014

Local histogram specification for face recognition under varying lighting conditions.
Image Vis. Comput., 2014

Structurally Enhanced Incremental Neural Learning for Image Classification with Subgraph Extraction.
Int. J. Neural Syst., 2014

Multi-Instance Dictionary Learning for Detecting Abnormal Events in Surveillance Videos.
Int. J. Neural Syst., 2014

Attributes Coupling based Item Enhanced Matrix Factorization Technique for Recommender Systems.
CoRR, 2014

mPadal: a joint local-and-global multi-view feature selection method for activity recognition.
Appl. Intell., 2014

A Novel Ego-Centered Academic Community Detection Approach via Factor Graph Model.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2014, 2014

Joint Coupled-Feature Representation and Coupled Boosting for AD Diagnosis.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Adaptive support framework for wisdom web of things.
World Wide Web, 2013

Online Selective Kernel-Based Temporal Difference Learning.
IEEE Trans. Neural Networks Learn. Syst., 2013

Multimodal Sparse Representation-Based Classification for Lung Needle Biopsy Images.
IEEE Trans. Biomed. Eng., 2013

Visual word coding based on difference maximization.
Neurocomputing, 2013

TRASMIL: A local anomaly detection framework based on trajectory segmentation and multi-instance learning.
Comput. Vis. Image Underst., 2013

Video Behavior Analysis Using Topic Models and Rough Sets [Applications Notes].
IEEE Comput. Intell. Mag., 2013

Transductive cost-sensitive lung cancer image classification.
Appl. Intell., 2013

Erratum: A Coupled Clustering Approach for Items Recommendation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

A Coupled Clustering Approach for Items Recommendation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

Voting-XCSc: A Consensus Clustering Method via Learning Classifier System.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2013, 2013

Image Super Resolution via Visual Prior Based Digital Image Characteristics.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2013, 2013

Prostate Segmentation in CT Images via Spatial-Constrained Transductive Lasso.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Asymmetric exclusion process for modeling of information flow.
Comput. Phys. Commun., 2012

Self-paced dictionary learning for image classification.
Proceedings of the 20th ACM Multimedia Conference, MM '12, Nara, Japan, October 29, 2012

Transductive Prostate Segmentation for CT Image Guided Radiotherapy.
Proceedings of the Machine Learning in Medical Imaging - Third International Workshop, 2012

Codebook Quantization for Image Classification Using Incremental Neural Learning and Subgraph Extraction.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2012, 2012

Abnormal Event Detection via Multi-Instance Dictionary Learning.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2012, 2012

MapReduce-based Closed Frequent Itemset Mining with Efficient Redundancy Filtering.
Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

Towards a General Supporting Framework for Self-Adaptive Software Systems.
Proceedings of the 36th Annual IEEE Computer Software and Applications Conference Workshops, 2012

Opponent's Style Modeling Based on Situations for Bayesian Poker.
Proceedings of the AI 2012: Advances in Artificial Intelligence, 2012

2011
Xcsc: a Novel Approach to Clustering with Extended Classifier System.
Int. J. Neural Syst., 2011

Granular-Based Partial Periodic Pattern Discovery over Time Series Data.
Proceedings of the Rough Sets and Knowledge Technology - 6th International Conference, 2011

A Relevance Feedback Framework for Image Retrieval Based on Ant Colony Algorithm.
Proceedings of the Advances in Visual Computing - 7th International Symposium, 2011

Image Region Segmentation Based on Color Coherence Quantization.
Proceedings of the Modern Approaches in Applied Intelligence, 2011

P2LSA and P2LSA+: Two Paralleled Probabilistic Latent Semantic Analysis Algorithms Based on the MapReduce Model.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2011, 2011

2010
RL-DOT: A Reinforcement Learning NPC Team for Playing Domination Games.
IEEE Trans. Comput. Intell. AI Games, 2010

CASTLE: a computer-assisted stress teaching and learning environment for learners of English as a second language.
Proceedings of the INTERSPEECH 2010, 2010

Real-Time Abnormal Event Detection in Complicated Scenes.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Learning classifier system using both labeled and unlabeled data.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

2009
Detecting Abnormal Events via Hierarchical Dirichlet Processes.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

3D Scene Analysis Using UIMA Framework.
Proceedings of the Next-Generation Applied Intelligence, 2009

Clustering with XCS and Agglomerative Rule Merging.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2009

Prediction-Based Prefetching to Support VCR-like Operations in Gossip-Based P2P VoD Systems.
Proceedings of the 15th IEEE International Conference on Parallel and Distributed Systems, 2009

Syllable nucleus Durations Estimation using Linear Regression based ensemble model.
Proceedings of the IEEE International Conference on Acoustics, 2009

Apply ant colony optimization to Tetris.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Probabilistic Seeking Prediction in P2P VoD Systems.
Proceedings of the AI 2009: Advances in Artificial Intelligence, 2009

2008
Intelligent Systems in Nanjing University.
IEEE Intell. Informatics Bull., 2008

Reinforcement Learning with Markov Logic Networks.
Proceedings of the MICAI 2008: Advances in Artificial Intelligence, 2008

Multi-class Multi-instance Learning for Lung Cancer Image Classification Based on Bag Feature Selection.
Proceedings of the Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008

Clustering with XCS on Complex Structure Dataset.
Proceedings of the AI 2008: Advances in Artificial Intelligence, 2008

2007
A two-layered multi-agent reinforcement learning model and algorithm.
J. Netw. Comput. Appl., 2007

Learning classifier system ensemble and compact rule set.
Connect. Sci., 2007

An Tableau Automated Theorem Proving Method Using Logical Reinforcement Learning.
Proceedings of the Advances in Computation and Intelligence, 2007

Connect-Based Subgoal Discovery for Options in Hierarchical Reinforcement Learning.
Proceedings of the Third International Conference on Natural Computation, 2007

2006
Ensemble Learning Classifier System and Compact Ruleset.
Proceedings of the Simulated Evolution and Learning, 6th International Conference, 2006

2005
Adaptive grid job scheduling with genetic algorithms.
Future Gener. Comput. Syst., 2005

Feedback based Dynamic Autonomous Web Service Composition.
Proceedings of the 2005 International Conference on Semantics, 2005

LCSE: Learning Classifier System Ensemble for Incremental Medical Instances.
Proceedings of the Learning Classifier Systems, International Workshops, 2005

Applying Neural Network to Reinforcement Learning in Continuous Spaces.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

Towards Efficient Selection of Web Services with Reinforcement Learning Process.
Proceedings of the 17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2005), 2005

LMRL: A Multi-Agent Reinforcement Learning Model and Algorithm.
Proceedings of the Third International Conference on Information Technology and Applications (ICITA 2005), 2005

An Efficient Adaptive Focused Crawler Based on Ontology Learning.
Proceedings of the 5th International Conference on Hybrid Intelligent Systems (HIS 2005), 2005

Incremental gradient descent imputation method for missing data in learning classifier systems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Learning classifier system ensemble for data mining.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Mapping Web Usage Patterns to MDP Model and Mining with Reinforcement Learning.
Proceedings of the Fuzzy Systems and Knowledge Discovery, Second International Conference, 2005

K-Cluster Algorithm for Automatic Discovery of Subgoals in Reinforcement Learning.
Proceedings of the 2005 International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA 2005), 2005

SCGA: Controlling Genetic Algorithms with Sarsa(0).
Proceedings of the 2005 International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA 2005), 2005

2004
Believability Based Iterated Belief Revision.
Proceedings of the PRICAI 2004: Trends in Artificial Intelligence, 2004

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

Mining Web Sequential Patterns Using Reinforcement Learning.
Proceedings of the Advanced Web Technologies and Applications, 2004

2003
How to Choose the Optimal Policy in Multi-agent Belief Revision?
Proceedings of the Rough Sets, 2003

Adaptive Job Scheduling for a Service Grid Using a Genetic Algorithm.
Proceedings of the Grid and Cooperative Computing, Second International Workshop, 2003


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