Network structure inference, a survey: Motivations, methods, and applications I Brugere, B Gallagher, TY Berger-Wolf ACM Computing Surveys (CSUR) 51 (2), 1-39, 2018 | 160 | 2018 |
Both nearest neighbours and long-term affiliates predict individual locations during collective movement in wild baboons DR Farine, A Strandburg-Peshkin, T Berger-Wolf, B Ziebart, I Brugere, J Li, ... Scientific reports 6 (1), 27704, 2016 | 69 | 2016 |
Coordination event detection and initiator identification in time series data C Amornbunchornvej, I Brugere, A Strandburg-Peshkin, DR Farine, ... ACM Transactions on Knowledge Discovery from Data (TKDD) 12 (5), 1-33, 2018 | 25 | 2018 |
Incorporating natural variation into time series-based land cover change identification V Mithal, A Garg, I Brugere, S Boriah, V Kumar, M Steinbach, C Potter, ... CIDU’11: Proceedings of the 2011 NASA Conference on Intelligent Data …, 2011 | 21 | 2011 |
A novel time series based approach to detect gradual vegetation changes in forests Y Chamber, A Garg, V Mithal, I Brugere, M Lau, V Krishna, S Boriah, ... NASA Conference on Intelligent Data Understanding, CIDU 2011, 248-262, 2011 | 19 | 2011 |
Social information improves location prediction in the wild J Li, I Brugere, B Ziebart, T Berger-Wolf, M Crofoot, D Farine Workshops at the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015 | 14 | 2015 |
A continuously benchmarked and crowdsourced challenge for rapid development and evaluation of models to predict COVID-19 diagnosis and hospitalization Y Yan, T Schaffter, T Bergquist, T Yu, J Prosser, Z Aydin, A Jabeer, ... JAMA Network Open 4 (10), e2124946-e2124946, 2021 | 11 | 2021 |
FLICA: a framework for leader identification in coordinated activity C Amornbunchornvej, I Brugere, A Strandburg-Peshkin, D Farine, ... arXiv preprint arXiv:1603.01570, 2016 | 10 | 2016 |
GAEA: Graph augmentation for equitable access via reinforcement learning GS Ramachandran, I Brugere, LR Varshney, C Xiong Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 884-894, 2021 | 9 | 2021 |
GOPHER: Global observation of planetary health and ecosystem resources A Garg, V Mithal, Y Chamber, I Brugere, V Chaudhari, M Dunham, ... 2011 IEEE International Geoscience and Remote Sensing Symposium, 1449-1452, 2011 | 9 | 2011 |
Evaluating social networks using task-focused network inference I Brugere, C Kanich, TY Berger-Wolf arXiv preprint arXiv:1707.02385, 2017 | 8 | 2017 |
Modeling and Analysis of Spatiotemporal Social Networks. I Brugere, VMV Gunturi, S Shekhar Encyclopedia of Social Network Analysis and Mining, 950-960, 2014 | 7 | 2014 |
A study of time series noise reduction techniques in the context of land cover change detection X Chen, V Mithal, S VangalaReddy, I Brugere, S Boriah, V Kumar | 7 | 2011 |
Network model selection for task-focused attributed network inference I Brugere, C Kanich, TY Berger-Wolf 2017 IEEE International Conference on Data Mining Workshops (ICDMW), 118-125, 2017 | 6 | 2017 |
Hyper-parameter tuning for fair classification without sensitive attribute access AK Veldanda, I Brugere, S Dutta, A Mishler, S Garg arXiv preprint arXiv:2302.01385, 2023 | 5 | 2023 |
Evaluation of crowdsourced mortality prediction models as a framework for assessing AI in medicine T Bergquist, T Schaffter, Y Yan, T Yu, J Prosser, J Gao, G Chen, ... medRxiv, 2021.01. 18.21250072, 2021 | 5 | 2021 |
Network model selection using task-focused minimum description length I Brugere, TY Berger-Wolf Companion Proceedings of the The Web Conference 2018, 961-968, 2018 | 4 | 2018 |
Modeling and Analysis of Spatiotemporal Social Networks. VMV Gunturi, I Brugere, S Shekhar Encyclopedia of Social Network Analysis and Mining. 2nd Ed., 2018 | 3 | 2018 |
Fairness via In-Processing in the Over-parameterized Regime: A Cautionary Tale with MinDiff Loss AK Veldanda, I Brugere, J Chen, S Dutta, A Mishler, S Garg Transactions on Machine Learning Research, 2023 | 2 | 2023 |
Fairness via in-processing in the over-parameterized regime: A cautionary tale AK Veldanda, I Brugere, J Chen, S Dutta, A Mishler, S Garg arXiv preprint arXiv:2206.14853, 2022 | 2 | 2022 |