Ansaf Salleb-Aouissi

Affiliations:
  • Columbia University
  • CCLS


According to our database1, Ansaf Salleb-Aouissi authored at least 41 papers between 2000 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Hierarchical Multi-Armed Bandits for the Concurrent Intelligent Tutoring of Concepts and Problems of Varying Difficulty Levels.
CoRR, 2024

M-DEW: Extending Dynamic Ensemble Weighting to Handle Missing Values.
CoRR, 2024

2023
Teenagers and Artificial Intelligence: Bootcamp Experience and Lessons Learned.
CoRR, 2023

2022
Counterfactual Explanations for Support Vector Machine Models.
CoRR, 2022

Interpretable prediction of necrotizing enterocolitis from machine learning analysis of premature infant stool microbiota.
BMC Bioinform., 2022

2021
Automated Symbolic Law Discovery: A Computer Vision Approach.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
A Weighted Solution to SVM Actionability and Interpretability.
CoRR, 2020

Multiple instance learning for predicting necrotizing enterocolitis in premature infants using microbiome data.
Proceedings of the ACM CHIL '20: ACM Conference on Health, 2020

2016
Toward a Robust Crowd-labeling Framework using Expert Evaluation and Pairwise Comparison.
CoRR, 2016

Using Kernel Methods and Model Selection for Prediction of Preterm Birth.
Proceedings of the 1st Machine Learning in Health Care, 2016

2015
Learning Characteristic Rules in Geographic Information Systems.
Proceedings of the Rule Technologies: Foundations, Tools, and Applications, 2015

Application of Sentiment and Topic Analysis to Teacher Evaluation Policy in the U.S.
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.
Proceedings of the 2014 AAAI Spring Symposia, 2014

2013
Building actions from classification rules.
Knowl. Inf. Syst., 2013

QuantMiner for mining quantitative association rules.
J. Mach. Learn. Res., 2013

Robust Crowd Labeling Using Little Expertise.
Proceedings of the Discovery Science - 16th International Conference, 2013

2012
Machine Learning for theNew York City Power Grid.
IEEE Trans. Pattern Anal. Mach. Intell., 2012

Multiplicity and word sense: evaluating and learning from multiply labeled word sense annotations.
Lang. Resour. Evaluation, 2012

Improving Crowd Labeling through Expert Evaluation.
Proceedings of the Wisdom of the Crowd, 2012

2011
Sequential Event Prediction with Association Rules.
Proceedings of the COLT 2011, 2011

2010
Word Sense Annotation of Polysemous Words by Multiple Annotators.
Proceedings of the International Conference on Language Resources and Evaluation, 2010

Patient-Specific Seizure Detection from Intra-cranial EEG Using High Dimensional Clustering.
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

Anveshan: A Framework for Analysis of Multiple Annotators' Labeling Behavior.
Proceedings of the Fourth Linguistic Annotation Workshop, 2010

2009
Maximum Entropy Density Estimation with Incomplete Presence-Only Data.
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

Making Sense of Word Sense Variation.
Proceedings of the Workshop on Semantic Evaluations: Recent Achievements and Future Directions, 2009

Discovering Characterization Rules from Rankings.
Proceedings of the International Conference on Machine Learning and Applications, 2009

Alive on Back-feed Culprit Identification via Machine Learning.
Proceedings of the International Conference on Machine Learning and Applications, 2009

Ranking Electrical Feeders of the New York Power Grid.
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.
Proceedings of the Extraction et gestion des connaissances (EGC'2008), 2008

2007
On the Discovery of Exception Rules: A Survey.
Proceedings of the Quality Measures in Data Mining, 2007

A Contribution to the Use of Decision Diagrams for Loading and Mining Transaction Databases.
Fundam. Informaticae, 2007

QuantMiner: A Genetic Algorithm for Mining Quantitative Association Rules.
Proceedings of the IJCAI 2007, 2007

2005
Estimation of the Density of Datasets with Decision Diagrams.
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.
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.
Proceedings of the Extraction et gestion des connaissances (EGC'2005), 2005

A Distance-Based Approach for Action Recommendation.
Proceedings of the Machine Learning: ECML 2005, 2005

2004
BoolLoader : un chargeur efficace dédié aux bases de transactions denses.
Proceedings of the Extraction et gestion des connaissances (EGC'2004), 2004

2003
Learning Characteristic Rules Relying on Quantified Paths.
Proceedings of the Knowledge Discovery in Databases: PKDD 2003, 2003

Apprentissage de règles caractéristiques.
Proceedings of the Extraction et gestion des connaissances (EGC'2003), 2003

2002
Mining maximal frequent itemsets by a boolean approach.
Proceedings of the 15th European Conference on Artificial Intelligence, 2002

2000
An Application of Association Rules Discovery to Geographic Information Systems.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2000


  Loading...