Publications LIRIS pour Alexandre Aussem (30)

• 2023 (4)
• Conferences (3)
• International conferences with peer review (3)
•  Florian Baud & Alex Aussem (2023). "Résumé automatique multi-documents guidé par une base de résumés similaires". 18e Conférence en Recherche d'Information et Applications -- 16e Rencontres Jeunes Chercheurs en RI -- 30e Conférence sur le Traitement Automatique des Langues Naturelles -- 25e Rencontre des Étudiants Chercheurs en Informatique pour le Traitement Automatique des Langues, Paris (France), pp. 19-27. HAL : hal-04130224. .
•  Florian Baud & Alex Aussem (2023). "Answering Student Queries with a Supervised Memory Conversational Agent". The International FLAIRS Conference Proceedings (FLAIRS-36), 17 mai 2023, Clearwater Beach (United States of America). doi : 10.32473/flairs.36.133195. HAL : hal-04249196. .
•  Florian Baud & Alex Aussem (2023). "Non-Parametric Memory Guidance for Multi-Document Summarization". International Conference Recent Advances in Natural Language Processing (RANLP), 6 septembre 2023, Varna (Bulgaria). doi : 10.26615/978-954-452-092-2_017. ArXiv : 2311.10760. HAL : hal-04281841. .
• Others (1)
•  Florian Baud & Alex Aussem (2023). "Répondre aux requêtes des étudiants avec un agent conversationnel à mémoire supervisée". Extraction et Gestion des Connaissances, 20 octobre 2023, Lyon (France). Poster. HAL : hal-04249159. .
• 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 (1)
• Conferences (1)
• International conferences with peer review (1)
•  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. .
• 2018 (1)
• Journals (1)
• International journals with peer review (1)
•  Denis Lecoeuche, Alex Aussem & Maxime Gasse (2018). "On the use of binary stochastic autoencoders for multi-label classification under the zero-one loss". Procedia Computer Science, vol. 144, pp. 71-80. doi : 10.1016/j.procs.2018.10.506. HAL : hal-02042711.
• 2017 (2)
• Conferences (2)
• International conferences with peer review (2)
•  Van-Tinh Tran & Alex Aussem (2017). "Reducing variance due to importance weighting in covariate shift bias correction". European Symposium on Artificial Neural Networks, Bruges (Belgium). HAL : hal-02042795.
•  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)
•  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.
•  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. .
•  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 (4)
•  Maxime Gasse & Alex Aussem (2016). "Identifying the irreducible disjoint factors of a multivariate probability distribution.". Probabilistic Graphical Models, 9 septembre 2016, Lugano (Switzerland), pp. 183-194. HAL : hal-01425447. .
•  Maxime Gasse & Alex Aussem (2016). "F-Measure Maximization in Multi-Label Classification with Conditionally Independent Label Subsets". European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 23 septembre 2016, Riva del garda (Italy), pp. 619-631. doi : 10.1007/978-3-319-46128-1_39. HAL : hal-01425528. .
•  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.
•  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.
• 2015 (7)
• Journals (2)
• International journals with peer review (1)
•  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.
• Other journals (1)
•  Raywat Makkhongkaew, Stéphane Bonnevay, Alex Aussem & Khalid Benabdeslem (2015). "Classification model for performance diagnosis of dry port by rail". Journal of Society for Transportation and Traffic Studies, vol. 6, #2, pp. 31-40. HAL : hal-01134826. .
• Conferences (5)
• International conferences with peer review (5)
•  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.
•  Van-Tinh Tran & Alex Aussem (2015). "A Practical Approach to Reduce the Learning Bias Under Covariate Shift". ECML PKDD 2015 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 11 septembre 2015, Porto (Portugal), pp 71-86. doi : 10.1007/978-3-319-23525-7_5. HAL : hal-01213965. .
•  Van-Tinh Tran & Alex Aussem (2015). "Correcting a Class of Complete Selection Bias with External Data Based on Importance Weight Estimation". 22nd International Conference, ICONIP 2015, 12 novembre 2015, Istanbul (Turkey). doi : 10.1007/978-3-319-26555-1_13. HAL : hal-01247394. .
•  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.
•  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 (1)
• International journals with peer review (1)
•  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. .
• Conferences (2)
• International conferences with peer review (2)
•  Alex Aussem, Pascal Caillet, Sarah Klemm, Maxime Gasse, Anne-Marie Schott & Michel Ducher (2014). "Analysis of risk factors of hip fracture with causal Bayesian networks". International Work-Conference on Bioinformatics and Biomedical Engineering, 7 avril 2014, Grenade (Spain), pp. 1074-1085. HAL : hal-01326485.
•  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 (1)
• Conferences (1)
• International conferences with peer review (1)
•  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.
• 2012 (2)
• Journals (2)
• International journals with peer review (2)
•  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.
•  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. .