Peer reviewed publications (Journals and Conferences)

[2012] Rebecca J. Passonneau, Vikas Bhardwaj, Ansaf Salleb-Aouissi and Nancy Ide Multiplicity and Word Sense: Evaluating and Learning from Multiply Labeled Word Sense Anno- tations. Language Resources and Evaluation 46(2): 219-252 (2012).

[2012] R. Trepos, Ansaf Salleb-Aouissi, M-O. Cordier, V. Masson and c. Gascuel Building actions from classification rules In Knowledge and Information Systems Journal (KAIS) Pages 1-32. http://dx.doi.org/10.1007/ s10115-011-0466-5

[2012] Faiza Khan Khattak and Ansaf Salleb-Aouissi. Improving Crowd Labeling through Expert Evaluation. In the 2012 AAAI Spring Symposium Series SS-12-06 Wisdom of the Crowd.

[2012] Cynthia Rudin, David Waltz, Roger Anderson, Albert Boulanger, Ansaf Salleb-Aouissi, Maggie Chow, Haimonti Dutta, Philip Gross, Bert Huang, Steve Ierome Machine Learning for the New York City Power Grid," in the IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 34, no. 2, pp. 328-345, Feb. 2012

[2011] Faiza Khan Khattak and Ansaf Salleb-Aouissi. Quality Control of Crowd Labeling through Expert Evaluation. Nips 2nd Workshop on Computational Social Science and the Wisdom of Crowds, Granada, Spain., 2011.

[2011] Ansaf Salleb-Aouissi, Axinia Radeva, Rebecca Passonneau, Boyi Xie, Faiza Khan Khattak, Ashish Tomar, David Waltz, Mary McCord, Harriet McGurk, and Noémie Elhadad. Diving into a Large Corpus of Pediatric Notes. ICML 2011 Learning from Unstructured Clinical Text Workshop Bellevue, WA, USA, July 2, 2011.

[2011] Cynthia Rudin, Benjamin Letham, Ansaf Salleb-Aouissi, Eugene Kogan, David Madigan Sequential Event Prediction with Association Rules. Journal of Machine Learning Research - Pro- ceedings Track 19: 615-634 (2011)

[2011] Leon Wu, Gail Kaiser, Cynthia Rudin, David Waltz, Roger Anderson, Albert Boulanger, Ansaf Salleb-Aouissi, Haimonti Dutta, and Manoj Poolery Evaluating Machine Learning for Improving Power Grid Reliability In the International Conference on Machine Learning ICML 2011 workshop on Machine Learning for Global Challenges.

[2010] Ansaf Salleb-Aouissi, Axinia Radeva, Rebecca Passonneau, Ashish Tomar, David Waltz, Mary McCord, Harriet McGurk, Noémie Elhadad A Perspective on Understanding Infantile Colic In NIPS 2010 Workshop on Learning and Planning from Batch Time Series Data, Whistler, British Columbia, Canada.

[2010] Vikas Bhardwaj, Rebecca Passonneau, Ansaf Salleb-Aouissi, Nancy Ide Anveshan: A Framework for Analysis of Multiple Annotators’ Labeling Behavior In the fourth linguistic annotation workshop LAW IV, held in conjunction with ACL 2010 Upsala, Sweden.

[2010] Haimonti Dutta, David L. Waltz, Karthik M. Ramasamy, Philip Gross, Ansaf Salleb-Aouissi, Hatim Diab, Manoj Pooleery, Catherine A. Schevon, Ronald Emerson Patient-Specific Seizure Detection from Intra-cranial EEG Using High Dimensional Clustering. In ICMLA 2010: 782-787

[2010] Haimonti Dutta, David Waltz, Ansaf Salleb-Aouissi, Catherine Schevon and Ronald Emerson Designing Patient-SpeciÞc Seizure Detectors From Multiple Frequency Bands of Intra-cranial EEG Using Support Vector Machines", DMHM, Workshop on Data Mining for HealthCare Management held in conjunction with PAKDD, 2010, Hyderabad, India.

[2010] Rebecca J. Passonneau, Ansaf Salleb-Aoussi, Vikas Bhardwaj and Nancy Ide Word Sense-Annotation of Polysemous Words by Multiple Annotators Accepted for publication at the seventh international conference on Language Resources and Eval- uation LREC 2010.

[2010] B. Huang and A. Salleb-Aouissi Maximum Entropy Density Estimation with Incomplete Presence-Only Data In the 12th International Conference on AI and Statistics AISTATS 2009. JMLR Proceedings Volume 5, pages 240-247.

[2010] Ansaf Salleb-Aouissi, Bert Huang, David Waltz Discovering Characterization Rules from Rankings In the IEEE proceedings of the International Conference on Machine Learning and Applications ICMLA 2009, pages 154-161, December 2009.

[2009] Ansaf Salleb-Aouissi, Bert Huang, David Waltz Discovering Characterization Rules from Rankings In the IEEE proceedings of the International Conference on Machine Learning and Applications ICMLA 2009, pages 154-161, December 2009.

[2009] Bert Huang, Ansaf Salleb-Aouissi, Phil Gross Alive on Back-feed Culprit Identification via Machine Learning In the IEEE proceedings of the International Conference on Machine Learning and Applications ICMLA 2009, pages 359-365, December 2009.

[2009] Phil Gross, Ansaf Salleb-Aouissi, Haimonti Dutta and Albert Boulanger Ranking Electrical Feeders of the New York Power Grid In the IEEE proceedings of the International Conference on Machine Learning and Applications ICMLA 2009, pages 725-730, December 2009.

[2009] B. Passoneau, A. Salleb-Aouissi, and N. Ide Making Sense of Word Sense Variation In SEW-2009 - Semantic Evaluations: Recent Achievements and Future Direction. A NAACL HLT 2009 Workshop, pages 2-9, June 4, 2009, Boulder, Colorado, USA.

[2009] Haimonti Dutta, David Waltz, Alessandro Moschitti, Daniele Pighin, Philip Gross, Claire Monteleoni, Ansaf Salleb-Aouissi, Albert Boulanger, Manoj Pooleery and Roger Anderson Estimating the Time Between Failures of Electrical Feeders in the New York Power Grid In Next Generation Data Mining Summit, : Dealing with the Energy Crisis, Greenhouse Emissions, and Transportation Challenges NGDM 2009.

[2008] A. Salleb-Aouissi, Bert C. Huang and David L. Waltz Vers des Machines a Vecteurs de Support "Actionables": Une Approche Fondee sur le Classement Toward Actionable Support Vector Machines: A Ranking-based Approach Best Paper Award in Knowledge Extraction and Management (Extraction et Gestion des Connaissances) EGC 2008, pp. 285-295 Sophia Antipolis, France.

[2007] A. Salleb-Aouissi, C. Vrain and C. Nortet QuantMiner: A Genetic Algorithm for Mining Quantitative Association Rules In the Proceedings of the 20th International Conference on Artificial Intelligence IJCAI 2007, pp. 1035-1040. Hyberadad, India.

[2007] A. Salleb-Aouissi, C. Vrain A Contribution to the Use of Decision Diagrams for Loading and Mining Transaction Databases Fundamenta Informaticae Journal 2007. Volume 78, Number 4, pp. 575-594. IOS Press.

[2007] B. Duval, A. Salleb, C. Vrain On the Discovery of Exception Rules: A Survey Reviewed Book chapter in "Quality Measures in Data Mining" book. In F. Guillet and Howard J. Hamilton editors Springer's Lecture Notes in Artificial Intelligence, Volume 43/2007 pp. 77-98. Springer January 2007.

[2006] R. Trepos, A. Salleb, M.-O. Cordier, V. Masson, C. Gascuel Une approche fondée sur une distance pour la recommandation d'actions. In 15e congrès francophone AFRIF-AFIA Reconnaissance des Formes et Intelligence Artificielle (15th French Speaking Conference on Pattern Recognition and Artificial Intelligence) RFIA 2006 Tours, France.

[2005] A. Salleb and C.Vrain Estimation of the Density of Datasets with Decision Diagrams In Proceedings of 15th International Symposium on Methodologies for Intelligent Systems ISMIS 2005. In M.-S. Hacid, N. V. Murray, Z. W. Ras, editors, Springer's Lecture Notes in Artificial Intelligence LNAI 3488, pp. 688-697, 2005.

[2005] R. Trepos, A. Salleb, M.-O. Cordier, V. Masson, C. Gascuel A Distance-Based Approach for Action Recommendation. In Proceedings of the 9th European Conference on Machine Learning ECML 2005 Porto portugal Springer's Lecture Notes in Artificial Intelligence LNAI 3720, pp. 425-436, 2005.

[2005] C. Nortet, A. Salleb, T. Turmeaux and C. Vrain Extraction de Règles d'Association Quantitatives Application à des Données Médicales. Proceedings of the 5th French speaking conference on Knowledge Discovery and Knowledge Management EGC 2005. Revue des Nouvelles Technologies de l'Information RNTI, Ed. Cépaduès, Volume II, Pages 495-506. January 2005, Paris France.

[2005] C. Nortet, A. Salleb, T. Turmeaux and C. Vrain Le role de l'utilisateur dans un processus d'extraction de règles d'association. Proceedings of the French speaking workshop on Data and Knowledge Quality DKQ 2005 co-located with EGC 2005. pages 35-42. January 2005, Paris France.

[2004] A. Salleb,T. Turmeaux, C. Vrain and C. Nortet Mining Quantitative Association Rules in a Atherosclerosis Dataset. PKDD Discovery Challenge 2004 (co-located with the 6th European Conference on Principles and Practice of Knowledge Discovery in Database) Pisa, Italy, pp. 98-103, Sept. 2004.

[2004] Z. Maazouzi, A. Salleb and C. Vrain BoolLoader : un chargeur efficace dédié aux bases denses. In the 4th French speaking conference on Knowledge Discovery and Knowledge Management EGC 2004. Revue des Nouvelles Technologies de l'Information RNTI, pp. 71–81, Ed. Cépaduès, January 2004, Clermont-Ferrand, France.

[2003] T. Turmeaux, A. Salleb, C. Vrain and D. Cassard Learning Characteristic Rules Relying on Quantified Paths In the 7th European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD 2003, Lavra˘c et al. (Eds.) LNAI 2838, pp. 471-482, 2003. Springer-Verlag.

[2003] A. Salleb Recherche de Motifs Fréquents pour l'Extraction de Règles d'Association et de Caractérisation. (Mining Frequent Patterns for the Discovery of Association and Characterization Rules). Ph.D. thesis, Laboratoire d'Informatique Fondamentale d'Orléans Lifo, University of Orléans. France. Advisor: Professor Christel Vrain. December 2003

[2003] T. Turmeaux, D. Cassard, A. Salleb and C. Vrain Apprentissage de Règles Caractéristiques In the 3rd French speaking conference on Knowledge Discovery and Knowledge Management EGC 2003 Hermès science publications, RSTI - RIA revue, volume 17, pages 437-448, January 2003, Lyon, France.

[2002] A. Salleb, Z. Maazouzi and C. Vrain. Mining Maximal Frequent Itemsets by a Boolean Approach. In the 15th European Conference on Artificial Intelligence, ECAI 2002, F. van Harmelen (Ed.) IOS Press Amsterdam, 2002, pages 385-389, Lyon, France, July 2002.

[2002] A. Salleb, Z. Maazouzi Approche Booléenne pour l'Extraction des Itemsets Fréquents Maximaux In the French speaking conference on machine learning CAp 2002, PUG Press, pages 111-122, June 2002, Orléans, France.

[2002] A. Lips, D. Cassard, V. Bouchot, M. Billa, A. Salleb, M. Gonzalez, L. Bougrain, C. Vrain, B. Tourlière, G. Stein and F. Alexandre. Quantitative Assessments of a Continent-Scale Metallogenic GIS by Data-Driven and Knowledge- Driven Approaches to Construct Decision-Aid Documents. Extended abstract GIS in Geology 2002, Moscou, November, 2002.

[2002] A. Salleb, Z. Maazouzi and C. Vrain Search Space Splitting for Mining Maximal Frequent Itemsets In the International Conference on Information and Knowledge Engineering IKE'02, Las Vegas, USA, CSREA Press ed., June, 2002, pages 482-488.

[2001] D. Cassard, M. Billa, V. Bouchot, A. Salleb, G. Stein and B. Tourliere Predictive Mapping with GIS Andes Datasets. Abstract and poster in the European Union of Geosciences, Symposium FMF5 EUG XI, Cambridge publications ISSN 1362-0886, Strasbourg France, April 2001.

[2000] A. Salleb and C. Vrain An Application of Association Rule Discovery to Geographic Information Systems In the 4th European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD 2000, D.A. Zighed et al. (Eds.) LNAI 1910, pp. 613-618. Springer-Verlag ed.

[1999] A. Salleb Knowledge Discovery in Geographic Databases Masters thesis (DEA), Laboratoire d'Informatique Fondamentale d'Orléans Lifo, University of Orléans September 1999.

Posters and technical reports

[2009] H. Dutta, D. Waltz, C. A. Schevon, K. M Ramasamy, P. Gross, A. Salleb-Aouissi, H. Diab, M. Pooleery, A. Boulanger and R. Emerson Seizure Detection from Multiple Frequency Bands of Intra-cranial EEG using High Dimensional Clustering Poster at the Fourth International Workshop on Seizure Prediction ISPW4, Kansas City, MO, June 2009.

[2008] P. Gross, A. Salleb-Aouissi, H. Dutta and Albert Boulanger Ranking Electrical Feeders of the New York Power Grid 3rd Annual Machine Learning Symposium at the New York Academy of Sciences NYAS 2008, New York, October, 2008.

[2008] H. Feng, H. Dutta and A. Salleb-Aouissi On Improving Probability Estimate Trees 3rd Annual Workshop for Women in Machine Learning WiML 2008 held in conjunction with Neural Information Processing Systems (NIPS), Vancouver, B.C., 2008.

[2008] P. Gross, A. Salleb-Aouissi, H. Dutta, A. Boulanger Susceptibility Ranking of Electrical Feeders: A case Study Technical report number CCLS-08-04.

[2008] A. Salleb-Aouissi, R. Trepos, M-O. Cordier, V. Masson From Classification rules to action recommendations Technical report number CCLS-08-01.

[2008] A. Salleb-Aouissi, B, Huang, Dave Waltz, Toward Actionable Support Vector Machines: A Ranking-based Approach Technical report number CCLS-08-02.

[2007] B. Huang, A. Salleb-Aouissi Maximum Entropy Density Estimation with Incomplete Data Poster and Abstract at the 2nd Annual Machine Learning Symposium NYAS, New York Academy of science, Oct 2007.

[2007] B. Huang, A. Salleb-Aouissi, P. Gross, A. Boulanger, D. Waltz, C. G. Jones Ranking Electrical Components: A Case Study and the Lessons Learned Technical report number CCLS-07-03.

[2006] M.-O. Cordier, V. Masson, A. Salleb, R. Trepos, C. Gascuel, F. Garcia SACADEAU project : recommending actions from simulation results Poster BESAI 2006 - 5thWorkshop on Binding Environmental Sciences and Artificial Intelligence, a workshop held in conjunction with the 17th European Conference on Artificial Intelligence (ECAI 2006) August 28th-September 1st, 2006. Riva del Garda, Italy.

[2006] J. Fortuna, M. Arias and A. Salleb-Aouissi Datamining towards Improving Performance in Predicting Electricity Distribution Feeder Failures Best Student Poster Award at the First annual Computer Science research - Columbia University.

[2004] Z. Maazouzi, A. Salleb and C. Vrain Can We Load Efficiently Dense datasets? Technical Report RR-2004-02, Laboratoire d'Informatique Fondamentale d'Orléans 2004.

[2000] V. Bouchot, B. Tourlière, Y. Itard, A. Salleb, D. Cassard, M. Billa, Y. Deschamps, N. Nicol and J.P. Milesi Méthodologie pour la valorisation des SIGs par la production de cartes de prédictivité Technical Report, BRGM/RP-50629-FR, 2000.