Publications LIRIS pour Haytham Elghazel (40)

• 2023 (8)
• Conferences (6)
• International conferences with peer review (6)
•  Mehdi Hennequin, Khalid Benabdeslem & Haytham Elghazel (2023). "PAC-Bayesian Domain Adaptation Bounds for Multi-view learning". PAC-Bayes Meets Interactive Learning, 28 juillet 2023, Hawaii-Honolulu (United States of America). HAL : hal-04382619. .
•  Abdelhamid Gaddari, Haytham Elghazel, Rakia Jaziri, Mohand-Said Hacid & Comble Pierre-Henri (2023). "Classification multi-label de données médicales par LSTM temporel et clustering flou". Extraction et Gestion des Connaissances: Actes de la conférence EGC'2023, 20 janvier 2023, Lyon (France), pp. 369-376. HAL : hal-04742491.
•  Abdelhamid Gaddari, Elghazel Haytham, Jaziri Rakia, Hacid Mohand-Saïd & Comble Pierre-Henri (2023). "A New Time-Aware LSTM based Framework for Multi-label Classification on Healthcare Data". 2023 20th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA), 7 décembre 2023, Giza (Egypt), pp. 1-8. doi : 10.1109/AICCSA59173.2023.10479260. HAL : hal-04742495.
•  Loujain Liekah, Haytham Elghazel, Fabien De Marchi & Mohand-Saïd Hacid (2023). "Clustering Multivariate Longitudinal Data Application on Disease Progression Modeling ⋆". Modeling Decisions for Artificial Intelligence, 22 juin 2023, UMEÅ (Sweden). HAL : hal-04097278. .
•  Thomas Ranvier, Haytham Elghazel, Emmanuel Coquery & Khalid Benabdeslem (2023). "Considération de l'Incertitude d'Imputation pour l'Apprentissage des Réseaux de Neurones". Plate-Forme Intelligence Artificielle (PFIA 2023), 7 juillet 2023, Strasbourg (France). HAL : hal-04227951. .
•  Abdelhamid Gaddari, Guillaume Lefebvre, Haytham Elghazel, Rakia Jaziri, Comble Pierre-Henri & Matthieu Sonnati (2023). "F-BERTMed : A new Sentence Embedding Framework for the French Medical domain". 7th International Workshop on Semantics-Powered Health Data Analytics (SEPDA 2023), 15 juin 2023, Portorož (Slovenia). HAL : hal-04742500.
• Others (2)
•  Thomas Ranvier, Haytham Elgazel, Emmanuel Coquery & Khalid Benabdeslem (2023). "Autoencoder-based Attribute Noise Handling Method for Medical Data". doi : 10.1007/978-981-99-1645-0_18. ArXiv : 2206.10609. HAL : hal-03696250. .
•  Thomas Ranvier, Haytham Elghazel, Emmanuel Coquery & Khalid Benabdeslem (2023). "Deep Multi-Source Supervised Domain Adaptation with Class Imbalance". doi : 10.21203/rs.3.rs-3160713/v1. HAL : hal-04227892. .
• 2022 (3)
• Conferences (3)
• International conferences with peer review (3)
•  Mehdi Hennequin, Khalid Benabdeslem, Haytham Elghazel, Thomas Ranvier & Eric Michoux (2022). "Multi-View Self-Attention for Regression Domain Adaptation with Feature Selection". 29th International Conference on Neural Information Processing, 26 novembre 2022, New Delhi (India), pp. 177-188. doi : 10.1007/978-3-031-30105-6_15. HAL : hal-04230643. .
•  Mehdi Hennequin, Khalid Benabdeslem & Haytham Elghazel (2022). "Adversarial Multi - View Domain Adaptation for Regression". 2022 International Joint Conference on Neural Networks (IJCNN), 23 juillet 2022, Padua (Italy), pp. 1-8. doi : 10.1109/IJCNN55064.2022.9892148. HAL : hal-03898518.
•  Mehdi Hennequin, Khalid Benabdeslem & Haytham Elghazel (2022). "Adversarial Multi-View Domain Adaptation for Regression". 2022 International Joint Conference on Neural Networks (IJCNN), 23 juillet 2022, Padoue (Italy). doi : 10.1109/IJCNN55064.2022.9892148. HAL : hal-04382606. .
• 2021 (1)
• Conferences (1)
• International conferences with peer review (1)
•  Clément Sage, Thibault Douzon, Alex Aussem, Véronique Eglin, Haytham Elghazel, Stefan Duffner, Christophe Garcia & Jérémy Espinas (2021). "Data-Efficient Information Extraction from Documents with Pre-Trained Language Models". ICDAR 2021 Workshop on Document Images and Language, 6 septembre 2021, Lausanne (Switzerland). doi : 10.1007/978-3-030-86159-9_33. HAL : hal-03267497. .
• 2020 (2)
• Conferences (2)
• International conferences with peer review (2)
•  Dihia Boulegane, Albert Bifet, Haytham Elghazel & Giyyarpuram Madhusudan (2020). "Streaming Time Series Forecasting using Multi-Target Regression with Dynamic Ensemble Selection". 2020 IEEE International Conference on Big Data (IEEE BigData 2020), Atlanta, GA, USA, December 10-13, 2020, 13 décembre 2020, Atlanta (United States of America), pp. 2170-2179. doi : 10.1109/BIGDATA50022.2020.9378264. HAL : hal-04468437.
•  Clément Sage, Alex Aussem, Véronique Eglin, Haytham Elghazel & Jérémy Espinas (2020). "End-to-End Extraction of Structured Information from Business Documents with Pointer-Generator Networks". EMNLP 2020 Workshop on Structured Prediction for NLP, 20 novembre 2020, Punta Cana (online) (Dominican Republic). HAL : hal-02958913. .
• 2019 (1)
• Conferences (1)
• International conferences with peer review (1)
•  Clément Sage, Alex Aussem, Haytham Elghazel, Véronique Eglin & Jérémy Espinas (2019). "Recurrent Neural Network Approach for Table Field Extraction in Business Documents". 15th International Conference on Document Analysis and Recognition (ICDAR 2019), 25 septembre 2019, Sydney (Australia). doi : 10.1109/ICDAR.2019.00211. HAL : hal-02156269. .
• 2017 (1)
• Conferences (1)
• International conferences with peer review (1)
•  Anil Narassiguin, Haytham Elghazel & Alex Aussem (2017). "Dynamic Ensemble Selection with Probabilistic Classifier Chains". European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2017), 18 septembre 2017, Skopje (Republic of Macedonia), pp. 169-186. HAL : hal-02018695.
• 2016 (7)
• Journals (3)
• International journals with peer review (3)
•  Florence Magrangeas, Rowan Kuiper, Hervé Avet-Loiseau, Wilfried Gouraud, Catherine Guérin-Charbonnel, Ludovic Ferrer, Alexandre Aussem, Haytham Elghazel, Jérôme Suhard et al. (2016). "A Genome-Wide Association Study Identifies a Novel Locus for Bortezomib-Induced Peripheral Neuropathy in European Multiple Myeloma Patients". Clinical Cancer Research, Epub ahead of print. doi : 10.1158/1078-0432.CCR-15-3163. HAL : inserm-01313506. .
•  Anil Narassiguin, Mohamed Bibimoune, Haytham Elghazel & Alex Aussem (2016). "An Extensive Empirical Comparison of Ensemble Learning Methods for Binary Classification". Pattern Analysis and Applications, vol. 19, #4, pp. 1093-1128. doi : 10.1007/s10044-016-0553-z. HAL : hal-01375159.
•  Haytham Elghazel, Alex Aussem, Ouadie Gharroudi & Wafa Saadaoui (2016). "Ensemble Multi-label Text Categorization based on Rotation Forest and Latent Semantic Indexing". Expert Systems with Applications, vol. 57, pp. 1-11. HAL : hal-01375162.
• Conferences (4)
• International conferences with peer review (3)
•  Anil Narassiguin, Haytham Elghazel & Alex Aussem (2016). "Similarity Tree Pruning: A Novel Dynamic Ensemble Selection Approach". 2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW), 15 décembre 2016, Barcelona (Spain), pp. 1243-1250. HAL : hal-02018696.
•  Raywat Makkhongkaew, Khalid Benabdeslem & Haytham Elghazel (2016). "Semi-supervised co-selection: features and instances by a weighting approach". International Joint Conference on Neural Networks (IJCNN 2016), 24 juillet 2016, Vancouver (Canada). HAL : hal-01340591.
•  Ouadie Gharroudi, Haytham Elghazel & Alex Aussem (2016). "A Semi-Supervised Ensemble Approach for Multi-label Learning". 2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW), 15 décembre 2016, Barcelona (Spain), pp. 1197-1204. HAL : hal-02018699.
• National conferences with peer review (1)
•  Raywat Makkhongkaew, Khalid Benabdeslem & Haytham Elghazel (2016). "Co-sélection instances-variables en mode semi-supervisé". AAFD & SFC'16: Francophone International Conference on Data Science, 22 mai 2016, Marrakech (Morocco). HAL : hal-01340584.
• 2015 (5)
• Journals (2)
• International journals with peer review (2)
•  Haytham Elghazel & Alex Aussem (2015). "Unsupervised Feature Selection with Ensemble Learning". Machine Learning, vol. 98, 1-2, pp. 157-180. doi : 10.1007/s10994-013-5337-8. HAL : hal-01339161.
•  Khalid Benabdeslem, Haytham Elghazel & Mohammed Hindawi (2015). "Ensemble constrained Laplacian score for efficient and robust semi-supervised feature selection". Knowledge and Information Systems (KAIS), vol. 45, #3, pp. 1-25. doi : 10.1007/s10115-015-0901-0. HAL : hal-01233971.
• Conferences (3)
• International conferences with peer review (3)
•  Ouadie Gharroudi, Haytham Elghazel & Alex Aussem (2015). "Ensemble Multi-label Classification: A Comparative Study on Threshold Selection and Voting Methods". IEEE International Conference on Tools with Artificial Intelligence,, 11 novembre 2015, Vietri sul Mare (Italy), pp. 377-384. HAL : hal-01375164.
•  Ouadie Gharroudi, Haytham Elghazel & Alex Aussem (2015). "Calibrated k-labelsets for Ensemble Multi-Label Classification". International Conference on Neural Information Processing, 12 novembre 2015, Istanbul (Turkey), pp. 573-582. HAL : hal-01375166.
•  Maxime Gasse, Alex Aussem & Haytham Elghazel (2015). "On the Optimality of Multi-Label Classification under Subset Zero-One Loss for Distributions Satisfying the Composition Property". International Conference on Machine Learning, 11 juillet 2015, Lille (France), pp. 2531-2539. HAL : hal-01234346. .
• 2014 (3)
• Journals (2)
• International journals with peer review (2)
•  Maxime Gasse, Alex Aussem & Haytham Elghazel (2014). "A hybrid algorithm for Bayesian network structure learning with application to multi-label learning". Expert Systems with Applications, vol. 41, #15, pp. 6755-6772. doi : 10.1016/j.eswa.2014.04.032. ArXiv : 1506.05692. HAL : hal-01153255. .
•  Haytham Elghazel & Khalid Benabdeslem (2014). "Different aspects for clustering the self-organizing maps". Neural Processing Letters, vol. 39, pp. 97-114. HAL : hal-01301032.
• Conferences (1)
• International conferences with peer review (1)
•  Ouadie Gharroudi, Haytham Elghazel & Alex Aussem (2014). "A Comparison of Multi-Label Feature Selection Methods Using the Random Forest Paradigm". Canadian Conference on Artificial Intelligence, AI, 6 mai 2014, Montréal (Canada), pp. 95-106. HAL : hal-01301070.
• 2013 (2)
• Conferences (2)
• International conferences with peer review (2)
•  Mohamed Bibimoune, Haytham Elghazel & Alex Aussem (2013). "An Empirical Comparison of Supervised Ensemble Learning Approaches". International Workshop on Complex Machine Learning Problems with Ensemble Methods COPEM@ECML/PKDD'13, 27 septembre 2013, Prague (Czech Republic), pp. 123-138. HAL : hal-01339258.
•  Mohammed Hindawi, Haytham Elghazel & Khalid Benabdeslem (2013). "Efficient semi-supervised feature selection by an ensemble approach". International Workshop on Complex Machine Learning Problems with Ensemble Methods COPEM@ECML/PKDD'13, 27 septembre 2013, Prague (Czech Republic), pp. 41-55. HAL : hal-01339249.
• 2012 (3)
• Journals (2)
• International journals with peer review (2)
•  Maxime Gasse, Alex Aussem & Haytham Elghazel (2012). "An Experimental Comparison of Hybrid Algorithms for Bayesian Network Structure Learning". Lecture Notes in Computer Science, vol. 7523, pp. 58-73. doi : 10.1007/978-3-642-33460-3_9. ArXiv : 1505.05004. HAL : hal-01122771. .
•  Fazia Bellal, Haytham Elghazel & Alex Aussem (2012). "A Semi Supervised Feature Ranking Method with Ensemble Learning". Pattern Recognition Letters, vol. 33, pp. 1426-1433. doi : 10.1016/j.patrec.2012.03.001. HAL : hal-01353384.
• Conferences (1)
• International conferences with peer review (1)
•  Thanh-Huy Le, Haytham Elghazel & Mohand-Said Hacid (2012). "A Relational-Based Approach for Aggregated Search in Graph Databases". International Conference on Database Systems for Advanced Applications (DASFAA 2012), 15 avril 2012, Busan (Korea (South)), pp. 33-47. doi : 10.1007/978-3-642-29038-1_5. HAL : hal-01353115.
• 2011 (1)
• Conferences (1)
• International conferences with peer review (1)
•  Khalid Benabdeslem, Brice Effantin & Haytham Elghazel (2011). "A Graph Enrichment Based Clustering over Vertically Partitioned Data". 7th International Conference on Advanced Data Mining and Applications (ADMA 2011), 19 décembre 2011, Beijing (China), pp. 42-54. doi : 10.1007/978-3-642-25853-4_4. HAL : hal-01285352.
• 2010 (1)
• Journals (1)
• National journals with peer review (1)
•  Khalid Benabdeslem, Haytham Elghazel & Rakia Jaziri (2010). "Un cadre graphique pour la visualisation et la caractérisation de classes en mode non-supervisé". RNTI, pp. 17-33. HAL : hal-01381631.
• 2005 (1)
• Conferences (1)
• National conferences with peer review (1)
•  Haytham Elghazel, Khalid Idrissi, Atilla Baskurt & Chokri Ben-Amar (2005). "Approche textuelle pour la recherche d'image.". 3rd International Conference on Sciences of Electronic, Technologies of Information and Telecommunications SETIT 2005, 15 mars 2005, SOUSSE - TUNISIE (Tunisia). HAL : hal-01583943.
• 2004 (1)
• Conferences (1)
• International conferences with peer review (1)
•  Haytham Elghazel, Khalid Idrissi, Atilla Baskurt & Chokri Ben-Amar (2004). "Analyse et Identifications de Bactéries dans les Image Microscopiques Couleur de Biofilms". IEEE Signaux Circuits et Systems'04, 15 mars 2004, Monastir (Tunisia), pp. 573-576. HAL : hal-01583934.