Ansaf Salleb-Aouissi
Ansaf Salleb-Aouissi
Columbia University Computer Science Department
Verified email at - Homepage
Cited by
Cited by
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
QuantMiner: A Genetic Algorithm for Mining Quantitative Association Rules.
A Salleb-Aouissi, C Vrain, C Nortet
IJCAI 7, 1035-1040, 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
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
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
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
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
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
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
Word sense annotation of polysemous words by multiple annotators.
RJ Passonneau, A Salleb-Aouissi, V Bhardwaj, N Ide
LREC, 2010
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
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
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
On the discovery of exception rules: A survey
B Duval, A Salleb, C Vrain
Quality Measures in Data Mining, 77-98, 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
Evaluating machine learning for improving power grid reliability
LL Wu, GE Kaiser, C Rudin, DL Waltz, RN Anderson, AG Boulanger, ...
Making sense of word sense variation
RJ Passonneau, A Salleb-Aouissi, N Ide
Proceedings of the Workshop on Semantic Evaluations: Recent Achievements and …, 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
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
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
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