2024
Knowledge Sharing and Transfer via Centralized Reward Agent for Multi-Task Reinforcement Learning.
CoRR, 2024
Highly Efficient Self-Adaptive Reward Shaping for Reinforcement Learning.
CoRR, 2024
Decoupled Prompt-Adapter Tuning for Continual Activity Recognition.
CoRR, 2024
Reward Shaping for Reinforcement Learning with An Assistant Reward Agent.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Mixed-Initiative Bayesian Sub-Goal Optimization in Hierarchical Reinforcement Learning.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024
2023
Federated Learning of Causal Effects from Incomplete Observational Data.
CoRR, 2023
Adversarial Learning Networks: Source-free Unsupervised Domain Incremental Learning.
CoRR, 2023
Discovering Low-Dimensional Causal Pathways between Multiple Interacting Neuronal Populations.
Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023
Hierarchical Reinforcement Learning with Human-AI Collaborative Sub-Goals Optimization.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023
2022
Subdomain Adaptation With Manifolds Discrepancy Alignment.
IEEE Trans. Cybern., 2022
Bayesian federated estimation of causal effects from observational data.
Proceedings of the Uncertainty in Artificial Intelligence, 2022
An Adaptive Kernel Approach to Federated Learning of Heterogeneous Causal Effects.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Adaptive Multi-Source Causal Inference from Observational Data.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
2021
Federated Estimation of Causal Effects from Observational Data.
CoRR, 2021
Adaptive Multi-Source Causal Inference.
CoRR, 2021
Causal Modeling with Stochastic Confounders.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
2020
Hierarchial Reinforcement Learning in StarCraft II with Human Expertise in Subgoals Selection.
CoRR, 2020
A Causal Modeling Framework with Stochastic Confounders.
CoRR, 2020
Randomized Transferable Machine.
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Succinct Adaptive Manifold Transfer.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
Adaptive Knowledge Transfer based on Transfer Neural Kernel Network.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020
2019
Modeling Multi-View Dependence in Bayesian Networks for Alzheimer's Disease Detection.
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019
Effects of Task Similarity on Policy Transfer with Selective Exploration in Reinforcement Learning.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019
2018
Knowledge-driven generative subspaces for modeling multi-view dependencies in medical data.
CoRR, 2018
Knowledge-Driven Interpretation of Multi-View Data in Medicine.
Proceedings of the Building Continents of Knowledge in Oceans of Data: The Future of Co-Created eHealth, 2018
2017
Scalable transfer learning in heterogeneous, dynamic environments.
Artif. Intell., 2017
A Deep Learning Approach to Neuroanatomical Characterisation of Alzheimer's Disease.
Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017
SEAPoT-RL: Selective Exploration Algorithm for Policy Transfer in RL.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
An Efficient Approach to Model-Based Hierarchical Reinforcement Learning.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
Toward A Collaborative AI Framework for Assistive Dementia Care.
Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
A Core Task Abstraction Approach to Hierarchical Reinforcement Learning: (Extended Abstract).
Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016
2015
Fusing Heterogeneous Data for Alzheimer's Disease Classification.
Proceedings of the MEDINFO 2015: eHealth-enabled Health, 2015
2014
Automatic detection and quantification of brain midline shift using anatomical marker model.
Comput. Medical Imaging Graph., 2014
Automated Prediction of Glasgow Outcome Scale for Traumatic Brain Injury.
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Proceedings of the 22nd International Conference on Pattern Recognition, 2014
Bootstrapping Simulation-Based Algorithms with a Suboptimal Policy.
Proceedings of the Twenty-Fourth International Conference on Automated Planning and Scheduling, 2014
2013
Causal Mechanism-based Model Construction
CoRR, 2013
Unsupervised Medical Image Classification by Combining Case-Based Classifiers.
Proceedings of the MEDINFO 2013, 2013
Writing for Publication in Biomedical Informatics Journals.
Proceedings of the MEDINFO 2013, 2013
Online Feature Selection for Model-based Reinforcement Learning.
Proceedings of the 30th International Conference on Machine Learning, 2013
A Dynamic Programming Algorithm for Learning Chain Event Graphs.
Proceedings of the Discovery Science - 16th International Conference, 2013
2012
Bootstrapping Monte Carlo Tree Search with an Imperfect Heuristic.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012
Transferring Expectations in Model-based Reinforcement Learning.
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
An automated pathological class level annotation system for volumetric brain images.
Proceedings of the AMIA 2012, 2012
2011
CAPIR: Collaborative Action Planning with Intention Recognition.
Proceedings of the Seventh AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2011
2010
TBIdoc: 3D content-based CT image retrieval system for traumatic brain injury.
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Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, San Diego, 2010
A Model Driven Approach to Imbalanced Data Sampling in Medical Decision Making.
Proceedings of the MEDINFO 2010, 2010
Towards A Multi-Level Game Model for Influenza Epidemics.
Proceedings of the MEDINFO 2010, 2010
An Analytic Characterization of Model Minimization in Factored Markov Decision Processes.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010
2009
Active Learning for Causal Bayesian Network Structure with Non-symmetrical Entropy.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009
A Surprise Triggered Adaptive and Reactive (STAR) Framework for Online Adaptation in Non-stationary Environments.
Proceedings of the Fifth Artificial Intelligence and Interactive Digital Entertainment Conference, 2009
2008
Computer-based decision support for critical and emergency care.
J. Biomed. Informatics, 2008
Hemorrhage slices detection in brain CT images.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008
Text Mining in Radiology Reports.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008
Identifying Causal Effects from Data for the Clinical Ventilation Process Modelling.
Proceedings of the 2008 International Conference on BioMedical Engineering and Informatics, 2008
2007
ECTracker - An Efficient Algorithm for Haplotype Analysis and Classification.
Proceedings of the MEDINFO 2007 - Proceedings of the 12th World Congress on Health (Medical) Informatics, 2007
Biomedical Knowledge Discovery with Topological Constraints Modeling in Bayesian Networks: A Preliminary Report.
Proceedings of the MEDINFO 2007 - Proceedings of the 12th World Congress on Health (Medical) Informatics, 2007
Predicting Coronary Artery Disease with Medical Profile and Gene Polymorphisms Data.
Proceedings of the MEDINFO 2007 - Proceedings of the 12th World Congress on Health (Medical) Informatics, 2007
2006
A Set-based Hybrid Approach (SHA) for MRI Segmentation.
Proceedings of the Ninth International Conference on Control, 2006
Patient-Specific Inference and Situation-Dependent Classification Using Context-Sensitive Networks.
Proceedings of the AMIA 2006, 2006
Set-based Cascading Approaches for Magnetic Resonance (MR) Image Segmentation (SCAMIS).
Proceedings of the AMIA 2006, 2006
2005
Translation Initiation Sites Prediction with Mixture Gaussian Models in Human cDNA Sequences.
IEEE Trans. Knowl. Data Eng., 2005
Reports on the 2005 AAAI Spring Symposium Series.
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AI Mag., 2005
LinkageTracker: A Discriminative Pattern Tracking Approach to Linkage Disequilibrium Mapping.
Proceedings of the Database Systems for Advanced Applications, 2005
Pgmc: a Framework for Probabilistic Graphical Model Combination.
Proceedings of the AMIA 2005, 2005
A Framework to Learn Bayesian Network from Changing, Multiple-Source Biomedical Data.
Proceedings of the Challenges to Decision Support in a Changing World, 2005
Challenges in an Adaptive Modeling Framework for Systems Biology.
Proceedings of the Challenges to Decision Support in a Changing World, 2005
Integration of Probabilistic Graphic Models for Decision Support.
Proceedings of the Challenges to Decision Support in a Changing World, 2005
Proceedings of the Challenges to Decision Support in a Changing World, 2005
Proceedings of the Challenges to Decision Support in a Changing World, 2005
2004
Translation Initiation Sites Prediction with Mixture Gaussian Models.
Proceedings of the Algorithms in Bioinformatics, 4th International Workshop, 2004
Cost-Effectiveness Analysis of Colorectal Cancer Screening Strategies in Singapore: A Dynamic Decision Analytic Approach.
Proceedings of the MEDINFO 2004, 2004
We Did the Right Thing: An Intervention Analysis Approach to Modeling Intervened SARS Propagation in Singapore.
Proceedings of the MEDINFO 2004, 2004
Classifying Biomedical Citations without Labeled Training Examples.
Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004
2003
Characterization of medical time series using fuzzy similarity-based fractal dimensions.
Artif. Intell. Medicine, 2003
Automated Knowledge Extraction for Decision Model Construction: A Data Mining Approach.
Proceedings of the AMIA 2003, 2003
2002
Mining of Correlated Rules in Genome Sequences.
Proceedings of the AMIA 2002, 2002
2001
Top-down approaches to abstract medical time series using linear segments.
Proceedings of the IEEE International Conference on Systems, 2001
Building decision support systems for treating severe head injuries.
Proceedings of the IEEE International Conference on Systems, 2001
Nonparametric Techniques to Extract Fuzzy Rules for Breast Cancer Diagnosis Problem.
Proceedings of the MEDINFO 2001, 2001
Constructing Influence Views from Data to Support Dynamic Decision Making in Medicine.
Proceedings of the MEDINFO 2001, 2001
Application of Fuzzy Similarity-Based Fractal Dimensions to Characterize Medical Time Series.
Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28, 2001
Fuzzy K-means clustering with missing values.
Proceedings of the AMIA 2001, 2001
PDL: a definition language for trend pattern representation and detection in medicine.
Proceedings of the AMIA 2001, 2001
2000
Causal Mechanism-based Model Constructions.
Proceedings of the UAI '00: Proceedings of the 16th Conference in Uncertainty in Artificial Intelligence, Stanford University, Stanford, California, USA, June 30, 2000
Automating Dynamic Decision Model Construction to Support Clinical Practice Guideline Development.
Proceedings of the Computer-Based Support for Clinical Guidelines and Protocols, 2000
A data preprocessing framework for supporting probability-learning in dynamic decision modeling in medicine.
Proceedings of the AMIA 2000, 2000
Application of K-nearest neighbors algorithm on breast cancer diagnosis problem.
Proceedings of the AMIA 2000, 2000
Using linear regression functions to abstract high-frequency data in medicine.
Proceedings of the AMIA 2000, 2000
1999
Supporting multi-level multi-perspective dynamic decision making in medicine.
Proceedings of the AMIA 1999, 1999
PROBES: a framework for probability elicitation from experts.
Proceedings of the AMIA 1999, 1999
Decision analytic approach to severe head injury management.
Proceedings of the AMIA 1999, 1999
1998
Dynamic decision analysis in medicine: a data-driven approach.
Int. J. Medical Informatics, 1998
Multiple Perspective Dynamic Decision Making.
Artif. Intell., 1998
Knowledge-Based Formulation of Dynamic Decision Models.
Proceedings of the PRICAI'98, 1998
Consistency Management in Multiple Perspective Medical Decision Analysis.
Proceedings of the MEDINFO '98, 1998
Modelling Medical Decisions in DynaMoL: A New General Framework of Dynamic Decision Analysis.
Proceedings of the MEDINFO '98, 1998
Induction of Diagnostic Test Strategies with Multi-Level Information Measures.
Proceedings of the MEDINFO '98, 1998
1997
Learning Conditional Probabilities for Dynamic Influence Structures in Medical Decision Models.
Proceedings of the AMIA 1997, 1997
1996
Multiple Perspective Reasoning.
Proceedings of the Fifth International Conference on Principles of Knowledge Representation and Reasoning (KR'96), 1996
1994
An integrated approach to dynamic decision making under uncertainty.
PhD thesis, 1994
1992
Representing Context-Sensitive Knowledge in a Network Formalism: A Preliminary Report.
Proceedings of the UAI '92: Proceedings of the Eighth Annual Conference on Uncertainty in Artificial Intelligence, 1992
1991
Representation Requirements for Supporting Decision Model Formulation.
Proceedings of the UAI '91: Proceedings of the Seventh Annual Conference on Uncertainty in Artificial Intelligence, 1991