| Graph clustering with network structure indices MJ Rattigan, M Maier, D Jensen Proceedings of the Twenty-Fourth International Conference on Machine …, 2007 | 246 | 2007 |
| Using structure indices for efficient approximation of network properties MJ Rattigan, M Maier, D Jensen Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge …, 2006 | 103 | 2006 |
| A sound and complete algorithm for learning causal models from relational data M Maier, K Marazopoulou, D Arbour, D Jensen Proceedings of the Twenty-Ninth UAI Conference on Uncertainty in Artificial …, 2013 | 60 | 2013 |
| Exploiting network structure for active inference in collective classification MJ Rattigan, M Maier, D Jensen Proceedings of the Seventh IEEE International Conference on Data Mining …, 2007 | 54 | 2007 |
| Learning causal models of relational domains ME Maier, BJ Taylor, H Oktay, D Jensen Proceedings of the Twenty-Fourth AAAI National Conference on Artificial …, 2010 | 53 | 2010 |
| Reasoning about independence in probabilistic models of relational data M Maier, K Marazopoulou, D Jensen arXiv preprint arXiv:1302.4381, 2013 | 43 | 2013 |
| Automatic identification of quasi-experimental designs for discovering causal knowledge DD Jensen, AS Fast, BJ Taylor, ME Maier Proceedings of the Fourteenth ACM SIGKDD International Conference on …, 2008 | 43 | 2008 |
| Relational data pre-processing techniques for improved securities fraud detection A Fast, L Friedland, M Maier, B Taylor, D Jensen, HG Goldberg, ... Proceedings of the Thirteenth ACM SIGKDD International Conference on …, 2007 | 37 | 2007 |
| Interpretable bias mitigation for textual data: Reducing genderization in patient notes while maintaining classification performance JR Minot, N Cheney, M Maier, DC Elbers, CM Danforth, PS Dodds ACM Transactions on Computing for Healthcare 3 (4), 1-41, 2022 | 34 | 2022 |
| Improving the accuracy and transparency of underwriting with AI to transform the life insurance industry M Maier, H Carlotto, S Saperstein, F Sanchez, S Balogun, S Merritt Ai Magazine 41 (3), 78-93, 2020 | 34 | 2020 |
| Learning the Structure of Causal Models with Relational and Temporal Dependence. K Marazopoulou, ME Maier, DD Jensen UAI, 572-581, 2015 | 32 | 2015 |
| A hybrid model for tumor-induced angiogenesis in the cornea in the presence of inhibitors HA Harrington, M Maier, L Naidoo, N Whitaker, PG Kevrekidis Mathematical and Computer Modelling 46 (3), 513-524, 2007 | 29 | 2007 |
| Transforming underwriting in the life insurance industry M Maier, H Carlotto, F Sanchez, S Balogun, S Merritt Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 9373-9380, 2019 | 24 | 2019 |
| Relational blocking for causal discovery MJ Rattigan, ME Maier, D Jensen Proceedings of the Twenty-Fifth AAAI National Conference on Artificial …, 2011 | 20 | 2011 |
| Causal Discovery for Relational Domains: Representation, Reasoning, and Learning ME Maier University of Massachusetts Amherst, 2014 | 19 | 2014 |
| Indexing network structure with shortest-path trees M Maier, M Rattigan, D Jensen ACM Transactions on Knowledge Discovery from Data (TKDD) 5 (3), 1-25, 2011 | 16 | 2011 |
| Systems and methods for computational risk scoring based upon machine learning S Merritt, M Bessey, M Maier US Patent 10,902,065, 2021 | 4 | 2021 |
| Flattening network data for causal discovery: What could go wrong? M Maier, K Marazopoulou, D Arbour, D Jensen Workshop on Information in Networks, 2013 | 4 | 2013 |
| Discovering Causal Knowledge by Design ME Maier, MJ Rattigan, DD Jensen University of Massachusetts Amherst, Technical Report 09-47, 2009 | 3 | 2009 |
| Systems and methods for risk factor predictive modeling with model explanations M Maier, S Li, H Carlotto, I Kumar US Patent 11,710,564, 2023 | 2 | 2023 |
David JensenProfessor of Computer Science, University of Massachusetts AmherstVerified email at cs.umass.edu
