| The max-min hill-climbing Bayesian network structure learning algorithm I Tsamardinos, LE Brown, CF Aliferis Machine learning 65, 31-78, 2006 | 2497 | 2006 |
| Autominder: An intelligent cognitive orthotic system for people with memory impairment ME Pollack, L Brown, D Colbry, CE McCarthy, C Orosz, B Peintner, ... Robotics and autonomous systems 44 (3-4), 273-282, 2003 | 508 | 2003 |
| Pearl: A mobile robotic assistant for the elderly ME Pollack, L Brown, D Colbry, C Orosz, B Peintner, S Ramakrishnan, ... AAAI workshop on automation as eldercare 2002, 85-91, 2002 | 505 | 2002 |
| Survey of multi-agent systems for microgrid control A Kantamneni, LE Brown, GG Parker, WW Weaver Engineering Applications of Artificial Intelligence 45, 192-203, 2015 | 293 | 2015 |
| Causal Explorer: A Causal Probabilistic Network Learning Toolkit for Biomedical Discovery. CF Aliferis, I Tsamardinos, AR Statnikov, LE Brown METMBS 3, 371-376, 2003 | 154 | 2003 |
| A survey of current practice and teaching of AI M Wollowski, R Selkowitz, L Brown, A Goel, G Luger, J Marshall, A Neel, ... Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 87 | 2016 |
| MFAssignR: Molecular formula assignment software for ultrahigh resolution mass spectrometry analysis of environmental complex mixtures SK Schum, LE Brown, LR Mazzoleni Environmental Research 191, 110114, 2020 | 84 | 2020 |
| A novel algorithm for scalable and accurate Bayesian network learning. LE Brown, I Tsamardinos, CF Aliferis Medinfo, 711-715, 2004 | 71 | 2004 |
| Autominder: A planning, monitoring, and reminding assistive agent ME Pollack, CE McCarthy, S Ramakrishnan, I Tsamardinos, L Brown, ... 7th International Conference on Intelligent Autonomous Systems, 265-272, 2002 | 56 | 2002 |
| Bounding the False Discovery Rate in Local Bayesian Network Learning. I Tsamardinos, LE Brown AAAI, 1100-1105, 2008 | 49 | 2008 |
| Alfred: The robot waiter who remembers you BA Maxwell, LA Meeden, N Addo, L Brown, P Dickson, J Ng, S Olshfski, ... Proceedings of AAAI workshop on robotics, 1-12, 1999 | 49 | 1999 |
| A comparison of novel and state-of-the-art polynomial bayesian network learning algorithms LE Brown, I Tsamardinos, CF Aliferis AAAI 2005, 739-745, 2005 | 44 | 2005 |
| Monofacial vs bifacial solar photovoltaic systems in snowy environments KS Hayibo, A Petsiuk, P Mayville, L Brown, JM Pearce Renewable Energy 193, 657-668, 2022 | 42 | 2022 |
| Generating realistic large Bayesian networks by tiling I Tsamardinos, A Statnikov, LE Brown, CF Aliferis FLAIRS 2006-19th International Florida Artificial Intelligence Research …, 2006 | 39 | 2006 |
| Scaling-up bayesian network learning to thousands of variables using local learning techniques I Tsamardinos, CF Aliferis, A Statnikov, LE Brown Vanderbilt University DSL TR-03-02, 2003 | 28 | 2003 |
| Towards fair machine learning software: Understanding and addressing model bias through counterfactual thinking Z Wang, Y Zhou, M Qiu, I Haque, L Brown, Y He, J Wang, D Lo, W Zhang arXiv preprint arXiv:2302.08018, 2023 | 26 | 2023 |
| Causal explorer: A matlab library of algorithms for causal discovery and variable selection for classification A Statnikov, I Tsamardinos, LE Brown, CF Aliferis Challenges in machine learning 2, 267-78, 2010 | 26 | 2010 |
| TGMI: an efficient algorithm for identifying pathway regulators through evaluation of triple-gene mutual interaction C Gunasekara, K Zhang, W Deng, LE Brown, H Wei Nucleic Acids Research 46 (11), e67, 2018 | 24 | 2018 |
| Prediction of hour of coincident daily peak load J Liu, LE Brown 2019 IEEE Power & Energy Society Innovative Smart Grid Technologies …, 2019 | 22 | 2019 |
| Comparing decision support methodologies for identifying asthma exacerbations JW Dexheimer, LE Brown, J Leegon, D Aronsky Studies in Health Technology and Informatics 129 (2), 880, 2007 | 21 | 2007 |
