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Accurate and cost-effective traffic information acquisition using adaptive sampling: Centralized and V2V schemes

Transportation research. Part C, Emerging technologies, 2018-09, Vol.94, p.99-120

2018

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Accurate and Cost-Effective Traffic Information Acquisition using Adaptive Sampling: Centralized and V2V Schemes

Transportation research procedia (Online), 2017, Vol.23, p.61-80

2017

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Integrating prior domain knowledge into discriminative learning using automatic model construction and phantom examples

Pattern recognition, 2009-12, Vol.42 (12), p.3231-3240

2009

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Reinforcement Learning in Robust Markov Decision Processes

Mathematics of operations research, 2016-11, Vol.41 (4), p.1325-1353

2016

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Variational Bayesian Inference for Crowdsourcing Predictions

2020 59th IEEE Conference on Decision and Control (CDC), 2020, p.3166-3172

2020

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MPA-IBM Project SAFER: Sense-Making Analytics for Maritime Event Recognition

INFORMS journal on applied analytics, 2019-07, Vol.49 (4), p.269-280

2019

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QTest 2.1: Quantitative testing of theories of binary choice using Bayesian inference

Journal of mathematical psychology, 2019-08, Vol.91, p.176-194

2019

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Robustness through prior knowledge : using explanation-based learning to distinguish handwritten Chinese characters

International journal on document analysis and recognition, 2007-12, Vol.10 (3-4), p.175-186

2007

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Towards Finite-Sample Convergence of Direct Reinforcement Learning

Lecture notes in computer science, 2005, p.230-241

1ère éd, 2005

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Heterogeneity and Parsimony in Intertemporal Choice

Decision (Washington, D.C.), 2018-04, Vol.5 (2), p.63-94

2018

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Efficient real-time mobile traffic information acquisition

2016 IEEE Region 10 Conference (TENCON), 2016, p.3786-3789

2016

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Transformer Models with Explainability for IT Telemetry and Business Events

2024 IEEE International Conference on Software Services Engineering (SSE), 2024, p.130-140

2024

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QTest: Quantitative Testing of Theories of Binary Choice

Decision (Washington, D.C.), 2014-01, Vol.1 (1), p.2-34

2014

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Efficient Reinforcement Learning in Resource Allocation Problems Through Permutation Invariant Multi-task Learning

2021 60th IEEE Conference on Decision and Control (CDC), 2021, p.2270-2275

2021

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Robustness and Personalization in Federated Learning: A Unified Approach via Regularization

2022 IEEE International Conference on Edge Computing and Communications (EDGE), 2022, p.1-11

2022

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Combining Micro and Macro Features for Online Pattern-of-Life Movement Prediction

2019 International Conference on Data Mining Workshops (ICDMW), 2019, p.587-594

2019

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A Deep Ensemble Method for Multi-Agent Reinforcement Learning: A Case Study on Air Traffic Control

Proceedings of the International Conference on Automated Planning and Scheduling, 2021-05, Vol.31, p.468-476

2021

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Federated Reinforcement Learning for Portfolio Management

Federated Learning, p.467-482

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Personalized, Robust Federated Learning with Fed

Federated Learning, p.99-123

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Explanation-based feature construction

Lim, Shiau Hong

2009

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Explanation-based feature construction

Dissertation Abstracts International, 2009, Vol.70 (6), p.115-115

Lim, Shiau Hong

2009

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Models for Autonomously Motivated Exploration in Reinforcement Learning

Discovery Science, p.29-29

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Models for Autonomously Motivated Exploration in Reinforcement Learning: Extended Abstract

Algorithmic Learning Theory, p.14-17

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Variant-Specific IgA Protects Against Omicron Infection

The Journal of infectious diseases, 2024-08, Vol.230 (2), p.e287-e291

2024

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Expanding the use of salivary cortisol as a non-invasive outpatient test in the dynamic evaluation of suspected adrenal insufficiency

Endocrine Connections, 2023-04, Vol.12 (4), p.1-9

2023

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Accurate and cost-effective traffic information acquisition using adaptive sampling: Centralized and V2V schemes

Accurate and Cost-Effective Traffic Information Acquisition using Adaptive Sampling: Centralized and V2V Schemes

Integrating prior domain knowledge into discriminative learning using automatic model construction and phantom examples

Reinforcement Learning in Robust Markov Decision Processes

Variational Bayesian Inference for Crowdsourcing Predictions

MPA-IBM Project SAFER: Sense-Making Analytics for Maritime Event Recognition

QTest 2.1: Quantitative testing of theories of binary choice using Bayesian inference

Robustness through prior knowledge : using explanation-based learning to distinguish handwritten Chinese characters

Towards Finite-Sample Convergence of Direct Reinforcement Learning

Heterogeneity and Parsimony in Intertemporal Choice

Efficient real-time mobile traffic information acquisition

Transformer Models with Explainability for IT Telemetry and Business Events

QTest: Quantitative Testing of Theories of Binary Choice

Efficient Reinforcement Learning in Resource Allocation Problems Through Permutation Invariant Multi-task Learning

Robustness and Personalization in Federated Learning: A Unified Approach via Regularization

Combining Micro and Macro Features for Online Pattern-of-Life Movement Prediction

A Deep Ensemble Method for Multi-Agent Reinforcement Learning: A Case Study on Air Traffic Control

Federated Reinforcement Learning for Portfolio Management

Personalized, Robust Federated Learning with Fed

Explanation-based feature construction

Explanation-based feature construction

Models for Autonomously Motivated Exploration in Reinforcement Learning

Models for Autonomously Motivated Exploration in Reinforcement Learning: Extended Abstract

Variant-Specific IgA Protects Against Omicron Infection

Expanding the use of salivary cortisol as a non-invasive outpatient test in the dynamic evaluation of suspected adrenal insufficiency

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