| 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 | 343 | 2011 |
| QuantMiner: A Genetic Algorithm for Mining Quantitative Association Rules. A Salleb-Aouissi, C Vrain, C Nortet IJCAI 7, 1035-1040, 2007 | 181 | 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 | 106 | 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 | 83 | 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 | 64 | 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 | 52 | 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 | 40 | 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 |
| 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 |
| 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 | 24 | 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 | 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 | 16 | 2016 |
Rebecca J. PassonneauDepartment of Computer Science and Engineering, Penn State在 cse.psu.edu 的電子郵件地址已通過驗證
