| 4th Workshop on Deep Learning Practice and Theory for High-Dimensional Sparse and Imbalanced Data with KDD 2022 R Corizzo, J Ge, C Bellinger, X Zhu, P Branco, K Lee, N Japkowicz, ... Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | | 2022 |
| A new frontier in novelty detection: Pattern recognition of stochastically episodic events C Bellinger, BJ Oommen Intelligent Information and Database Systems: Third International Conference …, 2011 | 3 | 2011 |
| A systematic review of data mining and machine learning for air pollution epidemiology C Bellinger, MS Mohomed Jabbar, O Zaïane, A Osornio-Vargas BMC public health 17, 1-19, 2017 | 261 | 2017 |
| Active learning for one-class classification V Barnabé-Lortie, C Bellinger, N Japkowicz 2015 IEEE 14th international conference on machine learning and applications …, 2015 | 36 | 2015 |
| Active Measure Reinforcement Learning for Observation Cost Minimization. C Bellinger, R Coles, M Crowley, I Tamblyn Canadian AI, 2021 | 21 | 2021 |
| Advantage of integration in big data: Feature generation in multi-relational databases for imbalanced learning F Ahmed, M Samorani, C Bellinger, OR Zaïane 2016 IEEE International Conference on Big Data (Big Data), 532-539, 2016 | 15 | 2016 |
| AI Applied to Air Pollution and Environmental Health: A Case Study on Hypothesis Generation C Bellinger, MSM Jabbar, O Wine, C Nielsen, J Serrano-Lomelin, ... Humanity Driven AI: Productivity, Well-being, Sustainability and Partnership …, 2022 | | 2022 |
| An Evaluation of the Value Added by Informative Metrics C Bellinger, J Lalonde, MW Floyd, V Mallur, E Elkanzi, D Ghazi, J He, ... Proceedings of the Fourth Workshop on Evaluation Methods for Machine, 0 | 1 | |
| An Interpretable Measure of Dataset Complexity for Imbalanced Classification Problems JMN Gøttcke, C Bellinger, P Branco, A Zimek Proceedings of the 2023 SIAM International Conference on Data Mining (SDM …, 2023 | 1 | 2023 |
| Anomaly detection in gamma ray spectra: A machine learning perspective S Sharma, C Bellinger, N Japkowicz, R Berg, K Ungar 2012 IEEE symposium on computational intelligence for security and defence …, 2012 | 44 | 2012 |
| Automated imbalanced classification via layered learning V Cerqueira, L Torgo, P Branco, C Bellinger Machine Learning 112 (6), 2083-2104, 2023 | 5 | 2023 |
| Balancing Information with Observation Costs in Deep Reinforcement Learning. C Bellinger, A Drozdyuk, M Crowley, I Tamblyn Canadian AI, 2022 | 7* | 2022 |
| Beyond the boundaries of smote: A framework for manifold-based synthetically oversampling C Bellinger, C Drummond, N Japkowicz Machine Learning and Knowledge Discovery in Databases: European Conference …, 2016 | 37 | 2016 |
| Calibrated resampling for imbalanced and long-tails in deep learning C Bellinger, R Corizzo, N Japkowicz Discovery Science: 24th International Conference, DS 2021, Halifax, NS …, 2021 | 16 | 2021 |
| ChemGymRL: A customizable interactive framework for reinforcement learning for digital chemistry C Beeler, SG Subramanian, K Sprague, M Baula, N Chatti, A Dawit, X Li, ... Digital Discovery 3 (4), 742-758, 2024 | | 2024 |
| Chemgymrl: An interactive framework for reinforcement learning for digital chemistry C Beeler, SG Subramanian, K Sprague, N Chatti, C Bellinger, M Shahen, ... arXiv preprint arXiv:2305.14177, 2023 | 7 | 2023 |
| Clustering based one-class classification for compliance verification of the comprehensive nuclear-test-ban treaty S Sharma, C Bellinger, N Japkowicz Advances in Artificial Intelligence: 25th Canadian Conference on Artificial …, 2012 | 17 | 2012 |
| Data for resistance and inductance estimation within a voltage source inverter D Aldana, Y Salgueiro, C Bellinger, M Rivera, CA Astudillo Data in brief 25, 104104, 2019 | | 2019 |
| Demonstrating ChemGymRL: An Interactive Framework for Reinforcement Learning for Digital Chemistry C Beeler, SG Subramanian, K Sprague, C Bellinger, M Crowley, ... AI for Accelerated Materials Design-NeurIPS 2023 Workshop, 0 | | |
| Discovering co-location patterns with aggregated spatial transactions and dependency rules MSM Jabbar, C Bellinger, OR Zaïane, A Osornio-Vargas International Journal of Data Science and Analytics 5 (2), 137-154, 2018 | 6 | 2018 |
Nathalie JapkowiczAmerican University在 american.edu 的电子邮件经过验证
