Haytham Elghazel

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 33

Top Topics

Feature Selection

Hybrid Algorithm

Top Venues

Publications

Guillaume Lefebvre, Haytham Elghazel, Théodore Guillet, Alexandre Aussem, Matthieu Sonnati
A new sentence embedding framework for the education and professional training domain with application to hierarchical multi-label text classification. Data Knowl. Eng. 150 (2024)
Mehdi Hennequin, Khalid Benabdeslem, Haytham Elghazel
PAC-Bayesian Domain Adaptation Bounds for Multi-view learning. CoRR (2024)
Thomas Ranvier, Haytham Elghazel, Emmanuel Coquery, Khalid Benabdeslem
Accounting for Imputation Uncertainty During Neural Network Training. DaWaK (2023)
Abdelhamid Gaddari, Haytham Elghazel, Rakia Jaziri, Mohand-Said Hacid, Pierre-Henri Comble
A New Time-Aware LSTM based Framework for Multi-label Classification on Healthcare Data. AICCSA (2023)
Abdelhamid Gaddari, Haytham Elghazel, Rakia Jaziri, Mohand-Saïd Hacid, Pierre-Henri Comble
Classification multi-label de données médicales par LSTM temporel et clustering flou. EGC (2023)
Guillaume Lefebvre, Haytham Elghazel, Théodore Guillet, Alexandre Aussem, Matthieu Sonnati
BERTEPro : A new Sentence Embedding Framework for the Education and Professional Training domain. SAC (2023)
Guillaume Lefebvre, Haytham Elghazel, Théodore Guillet, Alexandre Aussem, Matthieu Sonnati
BERTEPro : Une nouvelle approche de représentation sémantique dans le domaine de l'éducation et de la formation professionnelle. EGC (2023)
Mehdi Hennequin, Khalid Benabdeslem, Haytham Elghazel, Thomas Ranvier, Eric Michoux
Multi-view Self-attention for Regression Domain Adaptation with Feature Selection. ICONIP (1) (2022)
Thomas Ranvier, Haytham Elghazel, Emmanuel Coquery, Khalid Benabdeslem
Autoencoder-based Attribute Noise Handling Method for Medical Data. CoRR (2022)
Thomas Ranvier, Haytham Elghazel, Emmanuel Coquery, Khalid Benabdeslem
Autoencoder-Based Attribute Noise Handling Method for Medical Data. ICONIP (6) (2022)
Mehdi Hennequin, Khalid Benabdeslem, Haytham Elghazel
Adversarial Multi - View Domain Adaptation for Regression. IJCNN (2022)
Hugo Bertrand, Haytham Elghazel, Sahar Masmoudi, Emmanuel Coquery, Mohand-Saïd Hacid
Localized Feature Ranking approach for Multi-Target Regression. IJCNN (2022)
Clément Sage, Thibault Douzon, Alex Aussem, Véronique Eglin, Haytham Elghazel, Stefan Duffner, Christophe Garcia, Jérémy Espinas
Data-Efficient Information Extraction from Documents with Pre-trained Language Models. ICDAR Workshops (2) (2021)
Orhan Yazar, Haytham Elghazel, Mohand-Saïd Hacid, Nathalie Castin
Identifying Conditionally Independent Target Subsets for Multi-Target Regression*Note: Sub-titles are not captured in Xplore and should not be used. ICTAI (2020)
Dihia Boulegane, Albert Bifet, Haytham Elghazel, Giyyarpuram Madhusudan
Streaming Time Series Forecasting using Multi-Target Regression with Dynamic Ensemble Selection. IEEE BigData (2020)
Clément Sage, Alex Aussem, Véronique Eglin, Haytham Elghazel, Jérémy Espinas
End-to-End Extraction of Structured Information from Business Documents with Pointer-Generator Networks. SPNLP@EMNLP (2020)
Hichem Dabbèchi, Nahla Zaaboub Haddar, Haytham Elghazel, Kais Haddar
Social Media Data Integration: From Data Lake to NoSQL Data Warehouse. ISDA (2020)
Hichem Dabbèchi, Nahla Zaaboub Haddar, Haytham Elghazel, Kais Haddar
NoSQL Data Lake: A Big Data Source from Social Media. HIS (2020)
Clément Sage, Alexandre Aussem, Haytham Elghazel, Véronique Eglin, Jérémy Espinas
Recurrent Neural Network Approach for Table Field Extraction in Business Documents. ICDAR (2019)
Orhan Yazar, Haytham Elghazel, Mohand-Said Hacid, Nathalie Castin
Conditionally Decorrelated Multi-Target Regression. ICONIP (2) (2019)
Anil Narassiguin, Haytham Elghazel, Alex Aussem
Dynamic Ensemble Selection with Probabilistic Classifier Chains. ECML/PKDD (1) (2017)
Haytham Elghazel, Alex Aussem, Ouadie Gharroudi, Wafa Saadaoui
Ensemble multi-label text categorization based on rotation forest and latent semantic indexing. Expert Syst. Appl. 57 (2016)
Khalid Benabdeslem, Haytham Elghazel, Mohammed Hindawi
Ensemble constrained Laplacian score for efficient and robust semi-supervised feature selection. Knowl. Inf. Syst. 49 (3) (2016)
Anil Narassiguin, Mohamed Bibimoune, Haytham Elghazel, Alex Aussem
An extensive empirical comparison of ensemble learning methods for binary classification. Pattern Anal. Appl. 19 (4) (2016)
Anil Narassiguin, Haytham Elghazel, Alex Aussem
Similarity Tree Pruning: A Novel Dynamic Ensemble Selection Approach. ICDM Workshops (2016)
Raywat Makkhongkaew, Khalid Benabdeslem, Haytham Elghazel
Semi-supervised co-selection: Features and instances by a weighting approach. IJCNN (2016)
Ouadie Gharroudi, Haytham Elghazel, Alexandre Aussem
A Semi-Supervised Ensemble Approach for Multi-label Learning. ICDM Workshops (2016)
Ouadie Gharroudi, Haytham Elghazel, Alex Aussem
Calibrated k-labelsets for Ensemble Multi-label Classification. ICONIP (1) (2015)
Ouadie Gharroudi, Haytham Elghazel, Alex Aussem
Ensemble Multi-label Classification: A Comparative Study on Threshold Selection and Voting Methods. ICTAI (2015)
Maxime Gasse, Alex Aussem, Haytham Elghazel
An Experimental Comparison of Hybrid Algorithms for Bayesian Network Structure Learning. CoRR (2015)
Maxime Gasse, Alex Aussem, Haytham Elghazel
A hybrid algorithm for Bayesian network structure learning with application to multi-label learning. CoRR (2015)
Maxime Gasse, Alexandre Aussem, Haytham Elghazel
On the Optimality of Multi-Label Classification under Subset Zero-One Loss for Distributions Satisfying the Composition Property. ICML (2015)
Haytham Elghazel, Alex Aussem
Unsupervised feature selection with ensemble learning. Mach. Learn. 98 (1-2) (2015)
Ouadie Gharroudi, Haytham Elghazel, Alex Aussem
A Comparison of Multi-Label Feature Selection Methods Using the Random Forest Paradigm. Canadian Conference on AI (2014)
Haytham Elghazel, Khalid Benabdeslem
Different Aspects of Clustering The Self-Organizing Maps. Neural Process. Lett. 39 (1) (2014)
Maxime Gasse, Alex Aussem, Haytham Elghazel
A hybrid algorithm for Bayesian network structure learning with application to multi-label learning. Expert Syst. Appl. 41 (15) (2014)
Thanh-Huy Le, Haytham Elghazel, Mohand-Said Hacid
A Relational-Based Approach for Aggregated Search in Graph Databases. DASFAA (1) (2012)
Fazia Bellal, Haytham Elghazel, Alex Aussem
A semi-supervised feature ranking method with ensemble learning. Pattern Recognit. Lett. 33 (10) (2012)
Maxime Gasse, Alex Aussem, Haytham Elghazel
An Experimental Comparison of Hybrid Algorithms for Bayesian Network Structure Learning. ECML/PKDD (1) (2012)
Najib Ben Aoun, Haytham Elghazel, Mohand-Said Hacid, Chokri Ben Amar
Graph Aggregation Based Image Modeling and Indexing for Video Annotation. CAIP (2) (2011)
Hasna Barkia, Haytham Elghazel, Alex Aussem
Semi-supervised Feature Importance Evaluation with Ensemble Learning. ICDM (2011)
Haytham Elghazel, Mohand-Said Hacid
Aggregated Search in Graph Databases: Preliminary Results. GbRPR (2011)
Khalid Benabdeslem, Brice Effantin, Haytham Elghazel
A Graph Enrichment Based Clustering over Vertically Partitioned Data. ADMA (1) (2011)
Rakia Jaziri, Khalid Benabdeslem, Haytham Elghazel
A Graph Based Framework for Clustering and Characterization of SOM. ICANN (3) (2010)
Haytham Elghazel, Khalid Benabdeslem, Fatma Hamdi
Consensus clustering by graph based approach. ESANN (2010)
Haytham Elghazel, Alex Aussem
Feature Selection for Unsupervised Learning Using Random Cluster Ensembles. ICDM (2010)
Haytham Elghazel, Khalid Benabdeslem
Towards B-Coloring of SOM. MLDM (2009)
Haytham Elghazel, Khalid Benabdeslem, Hamamache Kheddouci
McSOM: Minimal Coloring of Self-Organizing Map. ADMA (2009)
Haytham Elghazel, Tetsuya Yoshida, Mohand-Said Hacid
An Integrated Graph and Probability Based Clustering Framework for Sequential Data. Discovery Science (2008)
Haytham Elghazel, Hamamache Kheddouci, Véronique Deslandres, Alain Dussauchoy
A Graph b-coloring Framework for Data Clustering. J. Math. Model. Algorithms 7 (4) (2008)
Haytham Elghazel, Khalid Benabdeslem, Alain Dussauchoy
Constrained Graph b-Coloring Based Clustering Approach. DaWaK (2007)
Haytham Elghazel, Hamamache Kheddouci, Véronique Deslandres, Alain Dussauchoy
A Partially Dynamic Clustering Algorithm for Data Insertion and Removal. Discovery Science (2007)
Haytham Elghazel, Véronique Deslandres, Kassem Kallel, Alain Dussauchoy
Clinical pathway analysis using graph-based approach and Markov models. ICDIM (2007)
Haytham Elghazel, Tetsuya Yoshida, Véronique Deslandres, Mohand-Said Hacid, Alain Dussauchoy
A New Greedy Algorithm for Improving b-Coloring Clustering. GbRPR (2007)
Haytham Elghazel, Mohand-Said Hacid, Hamamache Kheddouci, Alain Dussauchoy
A New Clustering Approach for Symbolic Data: Algorithms and Application to Healthcare Data. BDA (2006)
Haytham Elghazel, Véronique Deslandres, Mohand-Said Hacid, Alain Dussauchoy, Hamamache Kheddouci
A New Clustering Approach for Symbolic Data and Its Validation: Application to the Healthcare Data. ISMIS (2006)