Ansaf Salleb-Aouissi

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Rebecca J. PassonneauDepartment of Computer Science and Engineering, Penn StateVerified email at cse.psu.edu
Bert HuangAssistant Professor, Tufts University Department of Computer ScienceVerified email at vt.edu
Albert BoulangerSenior Data Architect, Department of Neurology, Columbia UniversityVerified email at ldeo.columbia.edu
Phil Grossformer PhD candidate, Columbia University, currently at GoogleVerified email at cs.columbia.edu
Anita RajaProfessor of Computer Science, Hunter College and The Grad Center, CUNYVerified email at hunter.cuny.edu
Roger N. AndersonColumbia UniversityVerified email at ldeo.columbia.edu
Ron WapnerColumbia University Irving Medical CenterVerified email at columbia.edu
Leon WuColumbia UniversityVerified email at columbia.edu
Faiza Khan KhattakVector institute for AIVerified email at columbia.edu
Nancy IdeProfessor of Computer Science, Vassar CollegeVerified email at vassar.edu
Hatim DiabSenior Research Staff AssociateVerified email at ieee.org
Vikas BhardwajFacebookVerified email at fb.com
Ronan TréposINRA - MIATVerified email at inrae.fr
David MadiganProfessor of Statistics, Northeastern UniversityVerified email at northeastern.edu
Manoj PooleeryDirector - Technology, Business Development & Entrepreneurship, Center for Computational LearningVerified email at ccls.columbia.edu
Vivek RathodSoftware Engineer, GoogleVerified email at google.com
Catherine SchevonColumbia UniversityVerified email at columbia.edu
Nizar HabashProfessor of Computer Science, New York University Abu DhabiVerified email at nizarhabash.com

Ansaf Salleb-Aouissi

Columbia University Computer Science Department

Verified email at columbia.edu - Homepage

Machine Learning Artificial Intelligence Clinical Informatics


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Machine learning for the New York City power grid C Rudin, D Waltz, RN Anderson, A Boulanger, A Salleb-Aouissi, M Chow, ... IEEE transactions on pattern analysis and machine intelligence 34 (2), 328-345, 2011	349	2011
QuantMiner: A Genetic Algorithm for Mining Quantitative Association Rules. A Salleb-Aouissi, C Vrain, C Nortet IJCAI 7, 1035-1040, 2007	184	2007
Machine learning for power grid RN Anderson, A Boulanger, C Rudin, D Waltz, A Salleb-Aouissi, M Chow, ... US Patent 8,751,421, 2014	110	2014
Quality control of crowd labeling through expert evaluation FK Khattak, A Salleb-Aouissi Proceedings of the NIPS 2nd Workshop on Computational Social Science and the …, 2011	84	2011
Sequential event prediction with association rules C Rudin, B Letham, A Salleb-Aouissi, E Kogan, D Madigan Proceedings of the 24th annual conference on learning theory, 615-634, 2011	66	2011
Quantminer for mining quantitative association rules A Salleb-Aouissi, C Vrain, C Nortet, X Kong, V Rathod, D Cassard The Journal of Machine Learning Research 14 (1), 3153-3157, 2013	53	2013
Multiplicity and word sense: evaluating and learning from multiply labeled word sense annotations RJ Passonneau, V Bhardwaj, A Salleb-Aouissi, N Ide Language Resources and Evaluation 46, 219-252, 2012	42	2012
Predicting preterm birth is not elusive: Machine learning paves the way to individual wellness I Vovsha, A Rajan, A Salleb-Aouissi, A Raja, A Radeva, H Diab, A Tomar, ... 2014 AAAI Spring Symposium Series, 2014	37	2014
Anveshan: a framework for analysis of multiple annotators’ labeling behavior V Bhardwaj, RJ Passonneau, A Salleb-Aouissi, N Ide Proceedings of the Fourth Linguistic Annotation Workshop, 47-55, 2010	37	2010
Word sense annotation of polysemous words by multiple annotators. RJ Passonneau, A Salleb-Aouissi, V Bhardwaj, N Ide LREC, 2010	34	2010
Interpretable prediction of necrotizing enterocolitis from machine learning analysis of premature infant stool microbiota YC Lin, A Salleb-Aouissi, TA Hooven BMC bioinformatics 23 (1), 104, 2022	30	2022
An application of association rules discovery to geographic information systems A Salleb, C Vrain Principles of Data Mining and Knowledge Discovery: 4th European Conference …, 2000	30	2000
Ranking electrical feeders of the New York power grid P Gross, A Salleb-Aouissi, H Dutta, A Boulanger 2009 International Conference on Machine Learning and Applications, 359-365, 2009	23	2009
On the discovery of exception rules: A survey B Duval, A Salleb, C Vrain Quality Measures in Data Mining, 77-98, 2007	23	2007
Building actions from classification rules R Trépos, A Salleb-Aouissi, MO Cordier, V Masson, C Gascuel-Odoux Knowledge and information systems 34, 267-298, 2013	22	2013
Evaluating machine learning for improving power grid reliability LL Wu, GE Kaiser, C Rudin, DL Waltz, RN Anderson, AG Boulanger, ...	22	2011
Making sense of word sense variation RJ Passonneau, A Salleb-Aouissi, N Ide Proceedings of the Workshop on Semantic Evaluations: Recent Achievements and …, 2009	21	2009
Learning characteristic rules relying on quantified paths T Turmeaux, A Salleb, C Vrain, D Cassard European Conference on Principles of Data Mining and Knowledge Discovery …, 2003	19	2003
Mining maximal frequent itemsets by a boolean based approach A Salleb, Z Maazouzi, C Vrain European Conf. on Artificial Intelligence, Lyon France (July 2002), 285-289, 2002	19	2002
Using kernel methods and model selection for prediction of preterm birth I Vovsha, A Salleb-Aouissi, A Raja, T Koch, A Rybchuk, A Radeva, ... Machine Learning for Healthcare Conference, 55-72, 2016	17	2016

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