Marc E. Maier

According to our database, Marc E. Maier authored at least 15 papers between 2006 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2020

Improving the Accuracy and Transparency of Underwriting with AI to Transform the Life Insurance Industry.

Marc E. Maier, Hayley Carlotto, Sara Saperstein, Freddie Sanchez, Sherriff Balogun, Sears A. Merritt

AI Mag., 2020

2019

Transforming Underwriting in the Life Insurance Industry.

Marc E. Maier, Hayley Carlotto, Freddie Sanchez, Sherriff Balogun, Sears A. Merritt

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2015

Learning the Structure of Causal Models with Relational and Temporal Dependence.

Katerina Marazopoulou, Marc E. Maier, David D. Jensen

Proceedings of the UAI 2015 Workshop on Advances in Causal Inference co-located with the 31st Conference on Uncertainty in Artificial Intelligence (UAI 2015), 2015

2013

Reasoning about Independence in Probabilistic Models of Relational Data

Marc E. Maier, Katerina Marazopoulou, David D. Jensen

CoRR, 2013

A Sound and Complete Algorithm for Learning Causal Models from Relational Data.

Marc E. Maier, Katerina Marazopoulou, David T. Arbour, David D. Jensen

Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013

2011

Indexing Network Structure with Shortest-Path Trees.

Marc E. Maier, Matthew J. Rattigan, David D. Jensen

ACM Trans. Knowl. Discov. Data, 2011

Relational Blocking for Causal Discovery.

Matthew J. Rattigan, Marc E. Maier, David D. Jensen

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010

Learning Causal Models of Relational Domains.

Marc E. Maier, Brian J. Taylor, Hüseyin Oktay, David D. Jensen

Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2008

Automatic identification of quasi-experimental designs for discovering causal knowledge.

David D. Jensen, Andrew S. Fast, Brian J. Taylor, Marc E. Maier

Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Automatic Identification of Quasi-Experimental Designs for Scientific Discovery.

David D. Jensen, Andrew S. Fast, Brian J. Taylor, Marc E. Maier, Matthew J. Rattigan

Proceedings of the Automated Scientific Discovery, 2008

2007

A hybrid model for tumor-induced angiogenesis in the cornea in the presence of inhibitors.

Heather A. Harrington, Marc E. Maier, Lé Santha Naidoo, Nathaniel Whitaker, Panayotis G. Kevrekidis

Math. Comput. Model., 2007

Relational data pre-processing techniques for improved securities fraud detection.

Andrew S. Fast, Lisa Friedland, Marc E. Maier, Brian J. Taylor, David D. Jensen, Henry G. Goldberg, John Komoroske

Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Graph clustering with network structure indices.

Matthew J. Rattigan, Marc E. Maier, David D. Jensen

Proceedings of the Machine Learning, 2007

Exploiting Network Structure for Active Inference in Collective Classification.

Matthew J. Rattigan, Marc E. Maier, David D. Jensen, Bin Wu, Xin Pei, Jianbin Tan, Yi Wang

Proceedings of the Workshops Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

2006

Using structure indices for efficient approximation of network properties.

Matthew J. Rattigan, Marc E. Maier, David D. Jensen

Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006