| Graph clustering with network structure indices MJ Rattigan, M Maier, D Jensen Proceedings of the 24th international conference on Machine learning, 783-790, 2007 | 241 | 2007 |
| The case for anomalous link discovery MJ Rattigan, D Jensen Acm Sigkdd Explorations Newsletter 7 (2), 41-47, 2005 | 151 | 2005 |
| Using structure indices for efficient approximation of network properties MJ Rattigan, M Maier, D Jensen Proceedings of the 12th ACM SIGKDD international conference on Knowledge …, 2006 | 105 | 2006 |
| Exploiting network structure for active inference in collective classification MJ Rattigan, M Maier, D Jensen Seventh IEEE International Conference on Data Mining Workshops (ICDMW 2007 …, 2007 | 53 | 2007 |
| Information awareness: A prospective technical assessment D Jensen, M Rattigan, H Blau Proceedings of the ninth ACM SIGKDD international conference on Knowledge …, 2003 | 34 | 2003 |
| Statistical relational learning: Four claims and a survey J Neville, M Rattigan, D Jensen Workshop SRL, Int. Joint. Conf. on AI 25, 2003 | 22 | 2003 |
| The case for anomalous link detection MJ Rattigan, D Jensen Proceedings of the 4th international workshop on multi-relational mining, 69-74, 2005 | 21 | 2005 |
| Relational blocking for causal discovery M Rattigan, M Maier, D Jensen Proceedings of the AAAI Conference on Artificial Intelligence 25 (1), 145-151, 2011 | 20 | 2011 |
| 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 | 17 | 2011 |
| Randomization tests for relational learning D Jensen, J Neville, M Rattigan International Joint Conference on Artificial Intelligence (submitted), 2003 | 12 | 2003 |
| Object conditioning for causal inference D Jensen, J Burroni, M Rattigan Uncertainty in Artificial Intelligence, 1072-1082, 2020 | 7 | 2020 |
| Leveraging d-separation for relational data sets MJH Rattigan, D Jensen 2010 IEEE International Conference on Data Mining, 989-994, 2010 | 6 | 2010 |
| Leveraging relational representations for causal discovery MJH Rattigan University of Massachusetts Amherst, 2012 | 4 | 2012 |
| Opportunities and Risks for Data Science in Organizations: Banking, Finance, and Policy-Special Session Overview A Azzini, S Marrara, A Topalović, MP Bach, M Rattigan 2018 IEEE 5th International Conference on Data Science and Advanced …, 2018 | 3 | 2018 |
| Reidentification of artists and genres in KDD Cup 2011 M Rattigan Proceedings of the 2011 Workshop on Information in Networks, 2011 | 3 | 2011 |
| Discovering Causal Knowledge by Design ME Maier, MJ Rattigan, DD Jensen Tech Report 09-47, University of Massachusetts Amherst, Computer Science …, 2009 | 3 | 2009 |
| CoMID: COVID-19 Misinformation Alignment Detection Using Content and User Data N Jafari, SM Sarwar, J Allan, K Sung, S Dori-Hacohen, M Rattigan | 1 | 2022 |
| Digging Data: Using Archaeology to Teach Responsible Data Practices in a Study Abroad Context M Trim, A Tuck, M Rattigan, C Reilly Proceedings of the 55th ACM Technical Symposium on Computer Science …, 2024 | | 2024 |
| Automatic Identification of Quasi-Experimental Designs for Scientific Discovery. DD Jensen, AS Fast, BJ Taylor, ME Maier, MJ Rattigan AAAI Fall Symposium: Automated Scientific Discovery, 24-25, 2008 | | 2008 |
| Learning Filesystems MJ Rattigan Synthesis, 2005 | | 2005 |
