| Unsupervised detection of sub-events in large scale disasters C Arachie, M Gaur, S Anzaroot, W Groves, K Zhang, A Jaimes Proceedings Of The AAAI conference on artificial intelligence 34 (01), 354-361, 2020 | 43 | 2020 |
| Adversarial label learning C Arachie, B Huang Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 3183-3190, 2019 | 28 | 2019 |
| Constrained labeling for weakly supervised learning C Arachie, B Huang Uncertainty in Artificial Intelligence, 236-246, 2021 | 19 | 2021 |
| A general framework for adversarial label learning C Arachie, B Huang Journal of Machine Learning Research 22 (118), 1-33, 2021 | 18 | 2021 |
| Firebolt: Weak supervision under weaker assumptions Z Kuang, CG Arachie, B Liang, P Narayana, G DeSalvo, MS Quinn, ... International Conference on Artificial Intelligence and Statistics, 8214-8259, 2022 | 10 | 2022 |
| A novel approach to social media guideline design and its application to automated vehicle events H Alambeigi, A Smith, R Wei, A McDonald, C Arachie, B Huang Proceedings of the human factors and ergonomics society annual meeting 65 (1 …, 2021 | 8 | 2021 |
| Stochastic generalized adversarial label learning C Arachie, B Huang arXiv preprint arXiv:1906.00512, 2019 | 5 | 2019 |
| Data consistency for weakly supervised learning C Arachie, B Huang arXiv preprint arXiv:2202.03987, 2022 | 4 | 2022 |
| Data Mining Twitter To Improve Automated Vehicle Safety T McDonald, B Huang, R Wei, H Alambeigi, C Arachie, A Smith, ... Safety through Disruption (Safe-D) University Transportation Center (UTC), 2021 | 2 | 2021 |
| Adversarial labeling for learning without labels C Arachie, B Huang CoRR, abs, 1805 | 2 | 1805 |
| Learning with Constraint-Based Weak Supervision CG Arachie Virginia Tech, 2022 | 1 | 2022 |
| Weakly supervised label learning flows Y Lu, W Song, C Arachie, B Huang Neural Networks, 106892, 2024 | | 2024 |
| An Adaptable Framework for Deep Adversarial Label Learning from Weak Supervision. C Arachie, B Huang CoRR, 2019 | | 2019 |
| Machine Learning of A Priori Information in Optimal Estimation of Atmospheric Composition B Huang, Y Dong, C Arachie, E Spinei, NA Kramarova, K Wargan AGU Fall Meeting Abstracts 2018, H31H-1973, 2018 | | 2018 |
| An Adversarial Labeling Game for Learning from Weak Supervision C Arachie, B Huang | | |
| Self-Selecting Neural Networks R Kingery, C Arachie, A Azizi, ATZ Kasgari | | |
Bert HuangAssistant Professor, Tufts University Department of Computer ScienceVerified email at vt.edu
