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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
2242007
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
1042006
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
532007
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
512013
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
442010
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
432008
Reasoning about independence in probabilistic models of relational data
M Maier, K Marazopoulou, D Jensen
arXiv preprint arXiv:1302.4381, 2013
352013
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
332007
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
262007
Learning the Structure of Causal Models with Relational and Temporal Dependence.
K Marazopoulou, ME Maier, DD Jensen
ACI@ UAI, 66-75, 2015
242015
Relational blocking for causal discovery
MJ Rattigan, ME Maier, D Jensen
Proceedings of the Twenty-Fifth AAAI National Conference on Artificial …, 2011
182011
Causal Discovery for Relational Domains: Representation, Reasoning, and Learning
ME Maier
University of Massachusetts Amherst, 2014
172014
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
142011
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
82021
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
72019
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
42020
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
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, 2022
12022
Systems and methods for computational risk scoring based upon machine learning
S Merritt, M Bessey, M Maier
US Patent 11,436,284, 2022
2022
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