Ansaf Salleb-Aouissi

发表

Learning Characteristic Rules in Geographic Information Systems

Ansaf Salleb-Aouissi, Christel Vrain, Daniel Cassard, 2015, RuleML.

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

Ansaf Salleb-Aouissi, Antonio Moretti, Kathy McKnight, 2015, EDM.

Anveshan: A Framework for Analysis of Multiple Annotators’ Labeling Behavior

Nancy Ide, Rebecca J. Passonneau, Vikas Bhardwaj, 2010, Linguistic Annotation Workshop.

An Application of Association Rules Discovery to Geographic Information Systems

Ansaf Salleb-Aouissi, Christel Vrain, Christel Vrain, 2000, PKDD.

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

Anita Raja, Axinia Radeva, Ansaf Salleb-Aouissi, 2014, AAAI Spring Symposia.

Evaluating Machine Learning for Improving Power Grid Reliability

Haimonti Dutta, Gail E. Kaiser, David L. Waltz, 2011 .

Using Kernel Methods and Model Selection for Prediction of Preterm Birth

Anita Raja, Axinia Radeva, Thomas Koch, 2016, MLHC.

Learning Characteristic Rules Relying on Quantified Paths

Ansaf Salleb-Aouissi, Christel Vrain, Daniel Cassard, 2003, PKDD.

From Classification Rules to Action Recommendations

Véronique Masson, Marie-Odile Cordier, Ansaf Salleb-Aouissi, 2008 .

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

Haimonti Dutta, David L. Waltz, Manoj Pooleery, 2010, 2010 Ninth International Conference on Machine Learning and Applications.

On the Discovery of Exception Rules: A Survey

Béatrice Duval, Ansaf Salleb-Aouissi, Christel Vrain, 2007, Quality Measures in Data Mining.

Discovering Characterization Rules from Rankings

David L. Waltz, Bert Huang, Ansaf Salleb-Aouissi, 2009, 2009 International Conference on Machine Learning and Applications.

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

Ansaf Salleb-Aouissi, Faiza Khan Khattak, Ansaf Salleb-Aouissi, 2016, ArXiv.

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

Nancy Ide, Rebecca J. Passonneau, Vikas Bhardwaj, 2012, Lang. Resour. Evaluation.

Ranking Electrical Feeders of the New York Power Grid

Haimonti Dutta, Ansaf Salleb-Aouissi, Albert Boulanger, 2009, 2009 International Conference on Machine Learning and Applications.

Machine Learning for the New York City Power Grid

Haimonti Dutta, David L. Waltz, Cynthia Rudin, 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

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

Ansaf Salleb-Aouissi, Christel Vrain, Christel Vrain, 2007, Fundam. Informaticae.

Word Sense Annotation of Polysemous Words by Multiple Annotators

Nancy Ide, Rebecca J. Passonneau, Vikas Bhardwaj, 2010, LREC.

Toward Actionable Support Vector Machines: A Ranking-based Approach

David L. Waltz, Ansaf Salleb-Aouissi, Bert Huang, 2008 .

Building actions from classification rules

Véronique Masson, Marie-Odile Cordier, Ansaf Salleb-Aouissi, 2012, Knowledge and Information Systems.

BoolLoader : un chargeur efficace dédié aux bases de transactions denses

Zahir Maazouzi, Ansaf Salleb-Aouissi, Christel Vrain, 2004, EGC.

Susceptibility Ranking of Electrical Feeders: A Case Study

Haimonti Dutta, Philip N. Gross, Ansaf Salleb-Aouissi, 2008 .

A Weighted Solution to SVM Actionability and Interpretability pdf

Ansaf Salleb-Aouissi, Samuel Marc Denton, Ansaf Salleb-Aouissi, 2020, ArXiv.

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

Ansaf Salleb-Aouissi, Christel Vrain, Teddy Turmeaux, 2005, EGC.

QuantMiner for mining quantitative association rules

Ansaf Salleb-Aouissi, Christel Vrain, Daniel Cassard, 2013, J. Mach. Learn. Res..

Apprentissage de règles caractéristiques

Ansaf Salleb-Aouissi, Christel Vrain, Daniel Cassard, 2003, EGC.

Alive on Back-feed Culprit Identification via Machine Learning

Bert Huang, Ansaf Salleb-Aouissi, Philip Gross, 2009, 2009 International Conference on Machine Learning and Applications.

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

Ansaf Salleb-Aouissi, Christel Vrain, Teddy Turmeaux, 2005, EGC.

Estimation of the Density of Datasets with Decision Diagrams

Ansaf Salleb-Aouissi, Christel Vrain, Christel Vrain, 2005, ISMIS.

A Distance-Based Approach for Action Recommendation

Véronique Masson, Marie-Odile Cordier, Ansaf Salleb-Aouissi, 2005, ECML.

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

Ansaf Salleb-Aouissi, Thomas Hooven, Yun Chao Lin, 2020, CHIL.

Sequential Event Prediction with Association Rules

Cynthia Rudin, David Madigan, Benjamin Letham, 2011, COLT.

Making Sense of Word Sense Variation

Nancy Ide, Ansaf Salleb-Aouissi, Rebecca Passoneau, 2009, SEW@NAACL-HLT.

Robust Crowd Labeling Using Little Expertise

Ansaf Salleb-Aouissi, Faiza Khan Khattak, 2013, Discovery Science.

Improving Crowd Labeling through Expert Evaluation

Ansaf Salleb-Aouissi, Faiza Khan Khattak, Ansaf Salleb-Aouissi, 2012, AAAI Spring Symposium: Wisdom of the Crowd.

Mining Frequent Patterns and Association Rules

Ansaf Salleb-Aouissi, 2008 .

QuantMiner: A Genetic Algorithm for Mining Quantitative Association Rules

Ansaf Salleb-Aouissi, Christel Vrain, Cyril Nortet, 2007, IJCAI.

Automated Symbolic Law Discovery: A Computer Vision Approach

Nakul Verma, Ansaf Salleb-Aouissi, Hengrui Xing, 2021, AAAI.

Data pre-processing for the preterm prediction study MFMU dataset

Axinia Radeva, Ansaf Salleb-Aouissi, Ilia Vovsha, 2013 .