Information awareness: a prospective technical assessment. - David D. Jensen; Matthew J. Rattigan; Hannah Blau (KDD, 2003)

The case for anomalous link discovery. - Matthew J. Rattigan; David D. Jensen (SIGKDD Explor., 2005)

Using structure indices for efficient approximation of network properties. - Matthew J. Rattigan; Marc E. Maier; David D. Jensen (KDD, 2006)

Exploiting Network Structure for Active Inference in Collective Classification. - Matthew J. Rattigan; Marc E. Maier; David D. Jensen; Bin Wu 001; Xin Pei; Jianbin Tan; Yi Wang 010 (ICDM Workshops, 2007)

Graph clustering with network structure indices. - Matthew J. Rattigan; Marc E. Maier; David D. Jensen (ICML, 2007)

Automatic Identification of Quasi-Experimental Designs for Scientific Discovery. - David D. Jensen; Andrew S. Fast; Brian J. Taylor; Marc E. Maier; Matthew J. Rattigan (AAAI Fall Symposium: Automated Scientific Discovery, 2008)

Leveraging D-Separation for Relational Data Sets. - Matthew J. Rattigan; David D. Jensen (ICDM, 2010)

Relational Blocking for Causal Discovery. - Matthew J. Rattigan; Marc E. Maier; David D. Jensen (AAAI, 2011)

Indexing Network Structure with Shortest-Path Trees. - Marc E. Maier; Matthew J. Rattigan; David D. Jensen (ACM Trans. Knowl. Discov. Data, 2011)

Opportunities and Risks for Data Science in Organizations: Banking, Finance, and Policy - Special Session Overview. - Antonia Azzini; Stefania Marrara; Amir Topalovic; Mirjana Pejic Bach; Matthew J. Rattigan (DSAA, 2018)

Object Conditioning for Causal Inference. - David D. Jensen; Javier Burroni; Matthew J. Rattigan (UAI, 2019)

Digging Data: Using Archaeology to Teach Responsible Data Practices in a Study Abroad Context. - Michelle Trim; Anthony Tuck; Matthew J. Rattigan; Cole Reilly (SIGCSE (1), 2024)