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Marc Maier
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Graph clustering with network structure indices
MJ Rattigan, M Maier, D Jensen
Proceedings of the Twenty-Fourth International Conference on Machine …, 2007
2372007
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
1032006
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
582013
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
552007
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
492010
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
452008
Reasoning about independence in probabilistic models of relational data
M Maier, K Marazopoulou, D Jensen
arXiv preprint arXiv:1302.4381, 2013
402013
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
342007
Learning the Structure of Causal Models with Relational and Temporal Dependence.
K Marazopoulou, ME Maier, DD Jensen
ACI@ UAI, 66-75, 2015
292015
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
292007
Relational blocking for causal discovery
MJ Rattigan, ME Maier, D Jensen
Proceedings of the Twenty-Fifth AAAI National Conference on Artificial …, 2011
202011
Causal Discovery for Relational Domains: Representation, Reasoning, and Learning
ME Maier
University of Massachusetts Amherst, 2014
192014
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
18*2020
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
162019
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
162011
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
112022
Interpretable bias mitigation for textual data: Reducing gender bias in patient notes while maintaining classification performance
JR Minot, N Cheney, M Maier, DC Elbers, CM Danforth, PS Dodds
arXiv preprint arXiv:2103.05841, 2021
102021
Flattening network data for causal discovery: What could go wrong?
M Maier, K Marazopoulou, D Arbour, D Jensen
Workshop on Information in Networks, 2013
42013
Discovering Causal Knowledge by Design
ME Maier, MJ Rattigan, DD Jensen
University of Massachusetts Amherst, Technical Report 09-47, 2009
32009
Systems and methods for computational risk scoring based upon machine learning
S Merritt, M Bessey, M Maier
US Patent 10,902,065, 2021
22021
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