Colin Bellinger
Orcid: 0000-0002-3567-7834
According to our database1,
Colin Bellinger
authored at least 50 papers
between 2010 and 2024.
Collaborative distances:
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Bibliography
2024
Mach. Learn., July, 2024
Mach. Learn., June, 2024
Reinforcement learning for in silico determination of adsorbate - substrate structures.
J. Comput. Chem., June, 2024
Deep Policy Gradient Methods Without Batch Updates, Target Networks, or Replay Buffers.
CoRR, 2024
Next-Generation Satellite IoT Networks: A HAPS-Enabled Solution to Enhance Optical Data Transfer.
Proceedings of the 35th IEEE International Symposium on Personal, 2024
2023
Learning Visual Tracking and Reaching with Deep Reinforcement Learning on a UR10e Robotic Arm.
CoRR, 2023
ChemGymRL: An Interactive Framework for Reinforcement Learning for Digital Chemistry.
CoRR, 2023
Reinforcement Learning-based Wavefront Sensorless Adaptive Optics Approaches for Satellite-to-Ground Laser Communication.
CoRR, 2023
An Interpretable Measure of Dataset Complexity for Imbalanced Classification Problems.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023
Learning When to Observe: A Frugal Reinforcement Learning Framework for a High-Cost World.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023
Proceedings of the Fifth International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2023
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
Time and temporal abstraction in continual learning: tradeoffs, analogies and regret in an active measuring setting.
Proceedings of the Conference on Lifelong Learning Agents, 2023
2022
4th Workshop on Deep Learning Practice and Theory for High-Dimensional Sparse and Imbalanced Data with KDD 2022.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Imbalanced Multi-layer Cloud Classification with Advanced Baseline Imager (ABI) and CloudSat/CALIPSO Data.
Proceedings of the IEEE International Conference on Big Data, 2022
Proceedings of the 35th Canadian Conference on Artificial Intelligence, Toronto, Ontario, 2022
2021
RB-CCR: Radial-Based Combined Cleaning and Resampling algorithm for imbalanced data classification.
Mach. Learn., 2021
Scientific Discovery and the Cost of Measurement - Balancing Information and Cost in Reinforcement Learning.
CoRR, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the Discovery Science - 24th International Conference, 2021
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
Proceedings of the 34th Canadian Conference on Artificial Intelligence, 2021
2020
Framework for extreme imbalance classification: SWIM - sampling with the majority class.
Knowl. Inf. Syst., 2020
SMOTEFUNA: Synthetic Minority Over-Sampling Technique Based on Furthest Neighbour Algorithm.
IEEE Access, 2020
Proceedings of the Advances in Artificial Intelligence, 2020
2019
The index lift in data mining has a close relationship with the association measure relative risk in epidemiological studies.
BMC Medical Informatics Decis. Mak., 2019
Proceedings of the Discovery Science - 22nd International Conference, 2019
2018
Mach. Learn., 2018
Discovering co-location patterns with aggregated spatial transactions and dependency rules.
Int. J. Data Sci. Anal., 2018
One-class classification - From theory to practice: A case-study in radioactive threat detection.
Expert Syst. Appl., 2018
Synthetic Oversampling with the Majority Class: A New Perspective on Handling Extreme Imbalance.
Proceedings of the IEEE International Conference on Data Mining, 2018
2017
Proceedings of the First International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2017
2016
Beyond the Boundaries of SMOTE - A Framework for Manifold-Based Synthetically Oversampling.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016
Advantage of integration in big data: Feature generation in multi-relational databases for imbalanced learning.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016
2015
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015
2014
Proceedings of the Seventh IEEE Symposium on Computational Intelligence for Security and Defense Applications, 2014
2012
Trans. Comput. Collect. Intell., 2012
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012
Proceedings of the 2012 IEEE Symposium on Computational Intelligence for Security and Defence Applications, 2012
Clustering Based One-Class Classification for Compliance Verification of the Comprehensive Nuclear-Test-Ban Treaty.
Proceedings of the Advances in Artificial Intelligence, 2012
2011
Proceedings of the 2011 IEEE Symposium on Computational Intelligence for Security and Defense Applications, 2011
A New Frontier in Novelty Detection: Pattern Recognition of Stochastically Episodic Events.
Proceedings of the Intelligent Information and Database Systems, 2011
2010
On simulating episodic events against a background of noise-like non-episodic events.
Proceedings of the SummerSim '10, 2010