Ansaf Salleb-Aouissi
Affiliations: | Computer Science | Columbia University, New York, NY |
Area:
Data Mining, Machine Learning, Frequent Patterns, Classification, Ranking, Rule LearningWebsite:
http://www1.ccls.columbia.edu/~ansaf/Google:
"Ansaf Salleb-Aouissi"
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Publications
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| Lin Y, Mallia D, Clark-Sevilla A, et al. (2023) A Comprehensive and Bias-Free Machine Learning Approach for Risk Prediction of Preeclampsia with Severe Features in a Nulliparous Study Cohort. Research Square |
| Lin YC, Salleb-Aouissi A, Hooven TA. (2022) Interpretable prediction of necrotizing enterocolitis from machine learning analysis of premature infant stool microbiota. Bmc Bioinformatics. 23: 104 |
| Salleb-Aouissi A, Vrain C, Cassard D. (2015) Learning characteristic rules in geographic information systems Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 9202: 431-444 |
| Vovsha I, Rajan A, Salleb-Aouissi A, et al. (2014) Predicting preterm birth is not elusive: Machine learning paves the way to individual wellness Aaai Spring Symposium - Technical Report. 82-89 |
| Trépos R, Salleb-Aouissi A, Cordier MO, et al. (2013) Building actions from classification rules Knowledge and Information Systems. 34: 267-298 |
| Gross P, Salleb-Aouissi A, Dutta H, et al. (2009) Ranking electrical feeders of the New York power grid 8th International Conference On Machine Learning and Applications, Icmla 2009. 359-365 |
| Huang B, Salleb-Aouissi A, Gross P. (2009) Alive on back-feed culprit identification via machine learning 8th International Conference On Machine Learning and Applications, Icmla 2009. 725-730 |
| Huang B, Salleb-Aouissi A. (2009) Maximum entropy density estimation with incomplete presence-only data Journal of Machine Learning Research. 5: 240-247 |
| Salleb-Aouissi A, Vrain C. (2007) A contribution to the use of decision diagrams for loading and mining transaction databases Fundamenta Informaticae. 78: 575-594 |