Colin Bellinger

Colin Bellinger

Dalhousie University

H-index: 16

North America-Canada

About Colin Bellinger

Colin Bellinger, With an exceptional h-index of 16 and a recent h-index of 15 (since 2020), a distinguished researcher at Dalhousie University, specializes in the field of Machine Learning, Learning from Limited and Imbalanced Data, One-Class Classification, Active Learning, Reinforcement Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Reinforcement learning for in silico determination of adsorbate—substrate structures

Understanding imbalanced data: XAI & interpretable ML framework

ChemGymRL: A Customizable Interactive Framework for Reinforcement Learning for Digital Chemistry

Reinforcement Learning Environment for Wavefront Sensorless Adaptive Optics in Single-Mode Fiber Coupled Optical Satellite Communications Downlinks

Time and temporal abstraction in continual learning: tradeoffs, analogies and regret in an active measuring setting

Demonstrating ChemGymRL: An Interactive Framework for Reinforcement Learning for Digital Chemistry

Learning Visual Tracking and Reaching with Deep Reinforcement Learning on a UR10e Robotic Arm

Dynamic observation policies in observation cost-sensitive reinforcement learning

Colin Bellinger Information

University

Position

National Research Council of Canada and

Citations(all)

1163

Citations(since 2020)

1010

Cited By

431

hIndex(all)

16

hIndex(since 2020)

15

i10Index(all)

27

i10Index(since 2020)

24

Email

University Profile Page

Google Scholar

Colin Bellinger Skills & Research Interests

Machine Learning

Learning from Limited and Imbalanced Data

One-Class Classification

Active Learning

Reinforcement Learning

Top articles of Colin Bellinger

Reinforcement learning for in silico determination of adsorbate—substrate structures

Journal of Computational Chemistry

2024/2/15

Jiří Hostaš
Jiří Hostaš

H-Index: 9

Colin Bellinger
Colin Bellinger

H-Index: 11

Understanding imbalanced data: XAI & interpretable ML framework

Machine Learning

2024/1/16

Colin Bellinger
Colin Bellinger

H-Index: 11

Bartosz Krawczyk
Bartosz Krawczyk

H-Index: 28

ChemGymRL: A Customizable Interactive Framework for Reinforcement Learning for Digital Chemistry

Digital Discovery

2024

Reinforcement Learning Environment for Wavefront Sensorless Adaptive Optics in Single-Mode Fiber Coupled Optical Satellite Communications Downlinks

Photonics

2023/12/13

Colin Bellinger
Colin Bellinger

H-Index: 11

Davide Spinello
Davide Spinello

H-Index: 16

Time and temporal abstraction in continual learning: tradeoffs, analogies and regret in an active measuring setting

2023/11/20

Colin Bellinger
Colin Bellinger

H-Index: 11

Maia Fraser
Maia Fraser

H-Index: 5

Demonstrating ChemGymRL: An Interactive Framework for Reinforcement Learning for Digital Chemistry

2023/11/3

Learning Visual Tracking and Reaching with Deep Reinforcement Learning on a UR10e Robotic Arm

arXiv preprint arXiv:2308.14652

2023/8/28

Colin Bellinger
Colin Bellinger

H-Index: 11

Dynamic observation policies in observation cost-sensitive reinforcement learning

arXiv preprint arXiv:2307.02620

2023/7/5

Colin Bellinger
Colin Bellinger

H-Index: 11

Mark Crowley
Mark Crowley

H-Index: 13

Automated imbalanced classification via layered learning

Machine Learning

2023/6

Chemgymrl: An interactive framework for reinforcement learning for digital chemistry

arXiv preprint arXiv:2305.14177

2023/5/23

Understanding CNN fragility when learning with imbalanced data

Machine Learning

2023/4/11

Efficient augmentation for imbalanced deep learning

2023/4/3

Reinforcement Learning-based Wavefront Sensorless Adaptive Optics Approaches for Satellite-to-Ground Laser Communication

arXiv preprint arXiv:2303.07516

2023/3/13

Colin Bellinger
Colin Bellinger

H-Index: 11

Davide Spinello
Davide Spinello

H-Index: 16

Reinforcement Learning for Adsorbate–Substrate Modeling in Silico–the Genesis of RLMaterial software

2023

Colin Bellinger
Colin Bellinger

H-Index: 11

An Interpretable Measure of Dataset Complexity for Imbalanced Classification Problems

2023

The class imbalance problem in deep learning

Machine Learning

2022/12/28

Imbalanced multi-layer cloud classification with Advanced Baseline Imager (ABI) and CloudSat/CALIPSO data

2022/12/17

Interpretable ML for Imbalanced Data

arXiv preprint arXiv:2212.07743

2022/12/15

4th Workshop on Deep Learning Practice and Theory for High-Dimensional Sparse and Imbalanced Data with KDD 2022

2022/8/14

See List of Professors in Colin Bellinger University(Dalhousie University)

Co-Authors

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