Ansaf Salleb-Aouissi

According to our database, Ansaf Salleb-Aouissi authored at least 39 papers between 2000 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Teenagers and Artificial Intelligence: Bootcamp Experience and Lessons Learned.

Uzay Macar, Blake Castleman, Noah Mauchly, Michael Jiang, Asma Aouissi, Salma Aouissi, Xena Maayah, Kaan Erdem, Rohith Ravindranath, Andrea Clark-Sevilla, Ansaf Salleb-Aouissi

CoRR, 2023

2022

Counterfactual Explanations for Support Vector Machine Models.

Sebastian Salazar, Samuel Denton, Ansaf Salleb-Aouissi

CoRR, 2022

Interpretable prediction of necrotizing enterocolitis from machine learning analysis of premature infant stool microbiota.

Yun Chao Lin, Ansaf Salleb-Aouissi, Thomas Hooven

BMC Bioinform., 2022

2021

Automated Symbolic Law Discovery: A Computer Vision Approach.

Hengrui Xing, Ansaf Salleb-Aouissi, Nakul Verma

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

A Weighted Solution to SVM Actionability and Interpretability.

Samuel Marc Denton, Ansaf Salleb-Aouissi

CoRR, 2020

Multiple instance learning for predicting necrotizing enterocolitis in premature infants using microbiome data.

Thomas Hooven, Yun Chao Lin, Ansaf Salleb-Aouissi

Proceedings of the ACM CHIL '20: ACM Conference on Health, 2020

2016

Toward a Robust Crowd-labeling Framework using Expert Evaluation and Pairwise Comparison.

Faiza Khan Khattak, Ansaf Salleb-Aouissi

CoRR, 2016

Using Kernel Methods and Model Selection for Prediction of Preterm Birth.

Ilia Vovsha, Ansaf Salleb-Aouissi, Anita Raja, Thomas Koch, Alex Rybchuk, Axinia Radeva, Ashwath Rajan, Yiwen Huang, Hatim Diab, Ashish Tomar, Ronald J. Wapner

Proceedings of the 1st Machine Learning in Health Care, 2016

2015

Learning Characteristic Rules in Geographic Information Systems.

Ansaf Salleb-Aouissi, Christel Vrain, Daniel Cassard

Proceedings of the Rule Technologies: Foundations, Tools, and Applications, 2015

Application of Sentiment and Topic Analysis to Teacher Evaluation Policy in the U.S.

Antonio Moretti, Kathy McKnight, Ansaf Salleb-Aouissi

Proceedings of the 8th International Conference on Educational Data Mining, 2015

2014

Predicting Preterm Birth Is Not Elusive: Machine Learning Paves the Way to Individual Wellness.

Ilia Vovsha, Ashwath Rajan, Ansaf Salleb-Aouissi, Anita Raja, Axinia Radeva, Hatim Diab, Ashish Tomar, Ronald J. Wapner

Proceedings of the 2014 AAAI Spring Symposia, 2014

2013

Building actions from classification rules.

Ronan Trepos, Ansaf Salleb-Aouissi, Marie-Odile Cordier, Véronique Masson, Chantal Gascuel-Odoux

Knowl. Inf. Syst., 2013

QuantMiner for mining quantitative association rules.

Ansaf Salleb-Aouissi, Christel Vrain, Cyril Nortet, Xiangrong Kong, Vivek Rathod, Daniel Cassard

J. Mach. Learn. Res., 2013

Robust Crowd Labeling Using Little Expertise.

Faiza Khan Khattak, Ansaf Salleb-Aouissi

Proceedings of the Discovery Science - 16th International Conference, 2013

2012

Machine Learning for theNew York City Power Grid.

Cynthia Rudin, David L. Waltz, Roger Anderson, Albert Boulanger, Ansaf Salleb-Aouissi, Maggie Chow, Haimonti Dutta, Philip Gross, Bert Huang, Steve Ierome

IEEE Trans. Pattern Anal. Mach. Intell., 2012

Multiplicity and word sense: evaluating and learning from multiply labeled word sense annotations.

Rebecca J. Passonneau, Vikas Bhardwaj, Ansaf Salleb-Aouissi, Nancy Ide

Lang. Resour. Evaluation, 2012

Improving Crowd Labeling through Expert Evaluation.

Faiza Khan Khattak, Ansaf Salleb-Aouissi

Proceedings of the Wisdom of the Crowd, 2012

2011

Sequential Event Prediction with Association Rules.

Cynthia Rudin, Benjamin Letham, Ansaf Salleb-Aouissi, Eugene Kogan, David Madigan

Proceedings of the COLT 2011, 2011

2010

Word Sense Annotation of Polysemous Words by Multiple Annotators.

Rebecca J. Passonneau, Ansaf Salleb-Aouissi, Vikas Bhardwaj, Nancy Ide

Proceedings of the International Conference on Language Resources and Evaluation, 2010

Patient-Specific Seizure Detection from Intra-cranial EEG Using High Dimensional Clustering.

Haimonti Dutta, David L. Waltz, Karthik M. Ramasamy, Philip Gross, Ansaf Salleb-Aouissi, Hatim Diab, Manoj Pooleery, Catherine A. Schevon, Ronald Emerson

Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

Anveshan: A Framework for Analysis of Multiple Annotators' Labeling Behavior.

Vikas Bhardwaj, Rebecca J. Passonneau, Ansaf Salleb-Aouissi, Nancy Ide

Proceedings of the Fourth Linguistic Annotation Workshop, 2010

2009

Maximum Entropy Density Estimation with Incomplete Presence-Only Data.

Bert Huang, Ansaf Salleb-Aouissi

Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

Making Sense of Word Sense Variation.

Rebecca Passoneau, Ansaf Salleb-Aouissi, Nancy Ide

Proceedings of the Workshop on Semantic Evaluations: Recent Achievements and Future Directions, 2009

Discovering Characterization Rules from Rankings.

Ansaf Salleb-Aouissi, Bert Huang, David L. Waltz

Proceedings of the International Conference on Machine Learning and Applications, 2009

Alive on Back-feed Culprit Identification via Machine Learning.

Bert Huang, Ansaf Salleb-Aouissi, Philip Gross

Proceedings of the International Conference on Machine Learning and Applications, 2009

Ranking Electrical Feeders of the New York Power Grid.

Philip Gross, Ansaf Salleb-Aouissi, Haimonti Dutta, Albert Boulanger

Proceedings of the International Conference on Machine Learning and Applications, 2009

2008

Vers des Machines à Vecteurs Support "Actionnables" : Une Approche Fondée sur le Classement.

Ansaf Salleb-Aouissi, Bert Huang, David L. Waltz

Proceedings of the Extraction et gestion des connaissances (EGC'2008), 2008

2007

On the Discovery of Exception Rules: A Survey.

Béatrice Duval, Ansaf Salleb, Christel Vrain

Proceedings of the Quality Measures in Data Mining, 2007

A Contribution to the Use of Decision Diagrams for Loading and Mining Transaction Databases.

Ansaf Salleb-Aouissi, Christel Vrain

Fundam. Informaticae, 2007

QuantMiner: A Genetic Algorithm for Mining Quantitative Association Rules.

Ansaf Salleb-Aouissi, Christel Vrain, Cyril Nortet

Proceedings of the IJCAI 2007, 2007

2005

Estimation of the Density of Datasets with Decision Diagrams.

Ansaf Salleb, Christel Vrain

Proceedings of the Foundations of Intelligent Systems, 15th International Symposium, 2005

Le rôle de l'utilisateur dans un processus d'extraction de règles d'association.

Cyril Nortet, Ansaf Salleb-Aouissi, Teddy Turmeaux, Christel Vrain

Proceedings of the Extraction des connaissances : Etat et perspectives (Ateliers de la conférence EGC'2005), 2005

Extraction de règles d'association quantitatives - Application à des données médicales.

Cyril Nortet, Ansaf Salleb, Teddy Turmeaux, Christel Vrain

Proceedings of the Extraction et gestion des connaissances (EGC'2005), 2005

A Distance-Based Approach for Action Recommendation.

Ronan Trepos, Ansaf Salleb, Marie-Odile Cordier, Véronique Masson, Chantal Gascuel

Proceedings of the Machine Learning: ECML 2005, 2005

2004

BoolLoader : un chargeur efficace dédié aux bases de transactions denses.

Zahir Maazouzi, Ansaf Salleb, Christel Vrain

Proceedings of the Extraction et gestion des connaissances (EGC'2004), 2004

2003

Learning Characteristic Rules Relying on Quantified Paths.

Teddy Turmeaux, Ansaf Salleb, Christel Vrain, Daniel Cassard

Proceedings of the Knowledge Discovery in Databases: PKDD 2003, 2003

Apprentissage de règles caractéristiques.

Teddy Turmeaux, Daniel Cassard, Ansaf Salleb, Christel Vrain

Proceedings of the Extraction et gestion des connaissances (EGC'2003), 2003

2002

Mining maximal frequent itemsets by a boolean approach.

Ansaf Salleb, Zahir Maazouzi, Christel Vrain

Proceedings of the 15th European Conference on Artificial Intelligence, 2002

2000

An Application of Association Rules Discovery to Geographic Information Systems.

Ansaf Salleb, Christel Vrain

Proceedings of the Principles of Data Mining and Knowledge Discovery, 2000