C. Bellinger

Nathalie Japkowicz, Vincent Barnabe-Lortie, Colin Bellinger, 2015, 2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA).

Smoothing gamma ray spectra to improve outlier detection

Nathalie Japkowicz, Vincent Barnabe-Lortie, Colin Bellinger, 2014, the 2014 Seventh IEEE Symposium on Computational Intelligence for Security and Defense Applications (CISDA).

Active Measure Reinforcement Learning for Observation Cost Minimization pdf

Rory Coles, Isaac Tamblyn, Mark Crowley, 2020, Canadian Conference on AI.

Modelling and Classifying Stochastically Episodic Events

Colin Bellinger, C. Bellinger, 2010 .

Balancing Information with Observation Costs in Deep Reinforcement Learning

Isaac Tamblyn, Mark Crowley, C. Bellinger, 2021, Canadian AI.

Scientific Discovery and the Cost of Measurement - Balancing Information and Cost in Reinforcement Learning

Isaac Tamblyn, Mark Crowley, C. Bellinger, 2021, ArXiv.

AI Applied to Air Pollution and Environmental Health: A Case Study on Hypothesis Generation

Charlene C. Nielsen, Osmar R Zaiane, Osnat Wine, 2021, Humanity Driven AI.

Framework for extreme imbalance classification: SWIM—sampling with the majority class

Nathalie Japkowicz, Osmar R. Zaïane, Colin Bellinger, 2019, Knowledge and Information Systems.

One-Class versus Binary Classification: Which and When?

Nathalie Japkowicz, Colin Bellinger, Shiven Sharma, 2012, 2012 11th International Conference on Machine Learning and Applications.

ChemGymRL: An Interactive Framework for Reinforcement Learning for Digital Chemistry

Sriram Ganapathi Subramanian, Isaac Tamblyn, Mark Crowley, 2023, ArXiv.

Discovering co-location patterns with aggregated spatial transactions and dependency rules

Osmar R. Zaïane, Colin Bellinger, Mohomed Shazan Mohomed Jabbar, 2018, International Journal of Data Science and Analytics.

Clustering Based One-Class Classification for Compliance Verification of the Comprehensive Nuclear-Test-Ban Treaty

Nathalie Japkowicz, Colin Bellinger, Shiven Sharma, 2012, Canadian Conference on AI.

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

D. Spinello, Runnan Zou, R. Cheriton, 2023, ArXiv.

Imbalanced Multi-layer Cloud Classification with Advanced Baseline Imager (ABI) and CloudSat/CALIPSO Data

Dong L. Wu, J. Gong, C. Bellinger, 2022, 2022 IEEE International Conference on Big Data (Big Data).

Explainable image analysis for decision support in medical healthcare

N. Japkowicz, Eftim Zdravevski, C. Bellinger, 2021, 2021 IEEE International Conference on Big Data (Big Data).

Sampling a Longer Life: Binary versus One-class classification Revisited

Osmar R. Zaïane, Nathalie Japkowicz, Colin Bellinger, 2017, LIDTA@PKDD/ECML.

Learning when to observe: A frugal reinforcement learning framework for a high-cost world

Isaac Tamblyn, Mark Crowley, C. Bellinger, 2023, ArXiv.

D YNAMIC O BSERVATION P OLICIES IN O BSERVATION C OST -S ENSITIVE R EINFORCEMENT L EARNING

Isaac Tamblyn, Mark Crowley, C. Bellinger, 2023 .

Scientific Discovery and the Cost of Measurement - Balancing Information and Cost in Reinforcement Learning pdf

Isaac Tamblyn, Mark Crowley, Andriy Drozdyuk, 2021, ArXiv.

The class imbalance problem in deep learning

B. Krawczyk, N. Japkowicz, Paula Branco, 2022, Machine Learning.

RB-CCR: Radial-Based Combined Cleaning and Resampling algorithm for imbalanced data classification

Michal Koziarski, Colin Bellinger, Michal Wo'zniak, 2021, Machine Learning.

Synthetic Oversampling with the Majority Class: A New Perspective on Handling Extreme Imbalance

Osmar R. Zaïane, Bartosz Krawczyk, Nathalie Japkowicz, 2018, 2018 IEEE International Conference on Data Mining (ICDM).

Synthetic Oversampling for Advanced Radioactive Threat Detection

Nathalie Japkowicz, Chris Drummond, Colin Bellinger, 2015, 2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA).

ReMix: Calibrated Resampling for Class Imbalance in Deep learning pdf

Nathalie Japkowicz, Roberto Corizzo, Colin Bellinger, 2020, 2012.02312.

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

C. Bellinger, Laurence Lamarche-Cliche, 2023, ArXiv.

Validity of the Work Assessment Triage Tool for Selecting Rehabilitation Interventions for Workers’ Compensation Claimants with Musculoskeletal Conditions

Osmar R Zaiane, W. Shaw, D. Gross, 2019, Journal of Occupational Rehabilitation.

The index lift in data mining has a close relationship with the association measure relative risk in epidemiological studies

Khanh Vu, Osmar R. Zaïane, Colin Bellinger, 2019, BMC Medical Informatics and Decision Making.