Thomas R. Hoens, Ph.D.
Affiliations: | 2012 | University of Notre Dame, Notre Dame, IN, United States |
Area:
Computer Science, Artificial IntelligenceGoogle:
"Thomas Hoens"Parents
Sign in to add mentorNitesh Chawla | grad student | 2012 | Notre Dame | |
(Living in an imbalanced world.) |
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Publications
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Rider AK, Johnson RA, Davis DA, et al. (2013) Classifier evaluation with missing negative class labels Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8207: 380-391 |
Hoens TR, Chawla NV. (2012) Learning in non-stationary environments with class imbalance Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 168-176 |
Cieslak DA, Hoens TR, Chawla NV, et al. (2012) Hellinger distance decision trees are robust and skew-insensitive Data Mining and Knowledge Discovery. 24: 136-158 |
Hoens TR, Qian Q, Chawla NV, et al. (2012) Building decision trees for the multi-class imbalance problem Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7301: 122-134 |
Hoens TR, Chawla NV, Polikar R. (2011) Heuristic Updatable Weighted Random Subspaces for non-stationary environments Proceedings - Ieee International Conference On Data Mining, Icdm. 241-250 |
Hoens TR, Blanton M, Chawla NV. (2010) Reliable medical recommendation systems with patient privacy Ihi'10 - Proceedings of the 1st Acm International Health Informatics Symposium. 173-182 |
Hoens TR, Blanton M, Chawla NV. (2010) A private and reliable recommendation system for social networks Proceedings - Socialcom 2010: 2nd Ieee International Conference On Social Computing, Passat 2010: 2nd Ieee International Conference On Privacy, Security, Risk and Trust. 816-825 |
Raeder T, Hoens TR, Chawla NV. (2010) Consequences of variability in classifier performance estimates Proceedings - Ieee International Conference On Data Mining, Icdm. 421-430 |
Hoens TR, Chawla NV. (2010) Generating diverse ensembles to counter the problem of class imbalance Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6119: 488-499 |