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ORCIDAnsaf Salleb-Aouissi
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- affiliation: Columbia University
- affiliation: CCLS
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2020 – today
- 2024
[i7]Adam Catto, Nan Jia, Ansaf Salleb-Aouissi, Anita Raja:
M-DEW: Extending Dynamic Ensemble Weighting to Handle Missing Values. CoRR abs/2405.00182 (2024)- [i6]Blake Castleman, Uzay Macar, Ansaf Salleb-Aouissi:
Hierarchical Multi-Armed Bandits for the Concurrent Intelligent Tutoring of Concepts and Problems of Varying Difficulty Levels. CoRR abs/2408.07208 (2024) - 2023
- [i5]Uzay Macar, Blake Castleman, Noah Mauchly, Michael Jiang, Asma Aouissi, Salma Aouissi, Xena Maayah, Kaan Erdem, Rohith Ravindranath, Andrea Clark-Sevilla, Ansaf Salleb-Aouissi:
Teenagers and Artificial Intelligence: Bootcamp Experience and Lessons Learned. CoRR abs/2312.10067 (2023) - 2022
- [j6]Yun Chao Lin, Ansaf Salleb-Aouissi, Thomas Hooven:
Interpretable prediction of necrotizing enterocolitis from machine learning analysis of premature infant stool microbiota. BMC Bioinform. 23(1): 104 (2022) - [i4]Sebastian Salazar, Samuel Denton, Ansaf Salleb-Aouissi:
Counterfactual Explanations for Support Vector Machine Models. CoRR abs/2212.07432 (2022) - 2021
- [c28]Hengrui Xing, Ansaf Salleb-Aouissi, Nakul Verma:
Automated Symbolic Law Discovery: A Computer Vision Approach. AAAI 2021: 660-668 - 2020
- [c27]Thomas Hooven
, Yun Chao Lin, Ansaf Salleb-Aouissi:
Multiple instance learning for predicting necrotizing enterocolitis in premature infants using microbiome data. CHIL 2020: 99-109 - [i3]Samuel Marc Denton, Ansaf Salleb-Aouissi:
A Weighted Solution to SVM Actionability and Interpretability. CoRR abs/2012.03372 (2020)
2010 – 2019
- 2016
- [c26]Ilia Vovsha, Ansaf Salleb-Aouissi, Anita Raja, Thomas Koch, Alex Rybchuk, Axinia Radeva, Ashwath Rajan, Yiwen Huang, Hatim Diab, Ashish Tomar, Ronald J. Wapner:
Using Kernel Methods and Model Selection for Prediction of Preterm Birth. MLHC 2016: 55-72 - [i2]Faiza Khan Khattak, Ansaf Salleb-Aouissi:
Toward a Robust Crowd-labeling Framework using Expert Evaluation and Pairwise Comparison. CoRR abs/1607.02174 (2016) - [i1]Ilia Vovsha, Ansaf Salleb-Aouissi, Anita Raja, Thomas Koch, Alex Rybchuk, Axinia Radeva, Ashwath Rajan, Yiwen Huang, Hatim Diab, Ashish Tomar, Ronald J. Wapner:
Using Kernel Methods and Model Selection for Prediction of Preterm Birth. CoRR abs/1607.07959 (2016) - 2015
- [c25]Antonio Moretti, Kathy McKnight, Ansaf Salleb-Aouissi:
Application of Sentiment and Topic Analysis to Teacher Evaluation Policy in the U.S. EDM 2015: 628-629 - [c24]Ansaf Salleb-Aouissi, Christel Vrain, Daniel Cassard:
Learning Characteristic Rules in Geographic Information Systems. RuleML 2015: 431-444 - 2014
- [c23]Ilia Vovsha, Ashwath Rajan, Ansaf Salleb-Aouissi, Anita Raja, Axinia Radeva, Hatim Diab, Ashish Tomar, Ronald J. Wapner:
Predicting Preterm Birth Is Not Elusive: Machine Learning Paves the Way to Individual Wellness. AAAI Spring Symposia 2014 - 2013
- [j5]Ansaf Salleb-Aouissi, Christel Vrain, Cyril Nortet, Xiangrong Kong, Vivek Rathod, Daniel Cassard:
QuantMiner for mining quantitative association rules. J. Mach. Learn. Res. 14(1): 3153-3157 (2013) - [j4]Ronan Trepos, Ansaf Salleb-Aouissi, Marie-Odile Cordier, Véronique Masson, Chantal Gascuel-Odoux:
Building actions from classification rules. Knowl. Inf. Syst. 34(2): 267-298 (2013) - [c22]Faiza Khan Khattak, Ansaf Salleb-Aouissi:
Robust Crowd Labeling Using Little Expertise. Discovery Science 2013: 94-109 - 2012
- [j3]Rebecca J. Passonneau, Vikas Bhardwaj, Ansaf Salleb-Aouissi, Nancy Ide:
Multiplicity and word sense: evaluating and learning from multiply labeled word sense annotations. Lang. Resour. Evaluation 46(2): 219-252 (2012) - [j2]Cynthia Rudin, David L. Waltz, Roger Anderson, Albert Boulanger, Ansaf Salleb-Aouissi, Maggie Chow, Haimonti Dutta, Philip Gross, Bert Huang, Steve Ierome:
Machine Learning for theNew York City Power Grid. IEEE Trans. Pattern Anal. Mach. Intell. 34(2): 328-345 (2012) - [c21]Faiza Khan Khattak, Ansaf Salleb-Aouissi:
Improving Crowd Labeling through Expert Evaluation. AAAI Spring Symposium: Wisdom of the Crowd 2012 - 2011
- [c20]Cynthia Rudin, Benjamin Letham, Ansaf Salleb-Aouissi, Eugene Kogan, David Madigan:
Sequential Event Prediction with Association Rules. COLT 2011: 615-634 - 2010
- [c19]Vikas Bhardwaj, Rebecca J. Passonneau, Ansaf Salleb-Aouissi, Nancy Ide:
Anveshan: A Framework for Analysis of Multiple Annotators' Labeling Behavior. Linguistic Annotation Workshop 2010: 47-55 - [c18]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. ICMLA 2010: 782-787 - [c17]Rebecca J. Passonneau, Ansaf Salleb-Aouissi, Vikas Bhardwaj, Nancy Ide:
Word Sense Annotation of Polysemous Words by Multiple Annotators. LREC 2010
2000 – 2009
- 2009
- [c16]Ansaf Salleb-Aouissi, Bert Huang, David L. Waltz:
Discovering Characterization Rules from Rankings. ICMLA 2009: 154-161 - [c15]Philip Gross, Ansaf Salleb-Aouissi, Haimonti Dutta, Albert Boulanger:
Ranking Electrical Feeders of the New York Power Grid. ICMLA 2009: 359-365 - [c14]Bert Huang, Ansaf Salleb-Aouissi, Philip Gross:
Alive on Back-feed Culprit Identification via Machine Learning. ICMLA 2009: 725-730 - [c13]Rebecca Passoneau, Ansaf Salleb-Aouissi, Nancy Ide:
Making Sense of Word Sense Variation. SEW@NAACL-HLT 2009: 2-9 - [c12]Bert Huang, Ansaf Salleb-Aouissi:
Maximum Entropy Density Estimation with Incomplete Presence-Only Data. AISTATS 2009: 240-247 - 2008
- [c11]Ansaf Salleb-Aouissi, Bert Huang, David L. Waltz:
Vers des Machines à Vecteurs Support "Actionnables" : Une Approche Fondée sur le Classement. EGC 2008: 285-296 - 2007
- [j1]Ansaf Salleb-Aouissi, Christel Vrain:
A Contribution to the Use of Decision Diagrams for Loading and Mining Transaction Databases. Fundam. Informaticae 78(4): 575-594 (2007) - [c10]Ansaf Salleb-Aouissi, Christel Vrain, Cyril Nortet:
QuantMiner: A Genetic Algorithm for Mining Quantitative Association Rules. IJCAI 2007: 1035-1040 - [p1]Béatrice Duval, Ansaf Salleb, Christel Vrain:
On the Discovery of Exception Rules: A Survey. Quality Measures in Data Mining 2007: 77-98 - 2005
- [c9]Ronan Trepos, Ansaf Salleb, Marie-Odile Cordier, Véronique Masson, Chantal Gascuel:
A Distance-Based Approach for Action Recommendation. ECML 2005: 425-436 - [c8]Cyril Nortet, Ansaf Salleb-Aouissi, Teddy Turmeaux, Christel Vrain:
Le rôle de l'utilisateur dans un processus d'extraction de règles d'association. EGC (Ateliers) 2005: 397-402 - [c7]Cyril Nortet, Ansaf Salleb, Teddy Turmeaux, Christel Vrain:
Extraction de règles d'association quantitatives - Application à des données médicales. EGC 2005: 495-506 - [c6]Ansaf Salleb, Christel Vrain:
Estimation of the Density of Datasets with Decision Diagrams. ISMIS 2005: 688-697 - 2004
- [c5]Zahir Maazouzi, Ansaf Salleb, Christel Vrain:
BoolLoader : un chargeur efficace dédié aux bases de transactions denses. EGC 2004: 71-82 - 2003
- [c4]Teddy Turmeaux, Daniel Cassard, Ansaf Salleb, Christel Vrain:
Apprentissage de règles caractéristiques. EGC 2003: 437-448 - [c3]Teddy Turmeaux, Ansaf Salleb, Christel Vrain, Daniel Cassard:
Learning Characteristic Rules Relying on Quantified Paths. PKDD 2003: 471-482 - 2002
- [c2]Ansaf Salleb, Zahir Maazouzi, Christel Vrain:
Mining maximal frequent itemsets by a boolean approach. ECAI 2002: 385-389 - 2000
- [c1]Ansaf Salleb, Christel Vrain:
An Application of Association Rules Discovery to Geographic Information Systems. PKDD 2000: 613-618
Coauthor Index
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