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Publication search results
found 182 matches
- 2025
- Massih-Reza Amini, Vasilii Feofanov, Loïc Pauletto, Lies Hadjadj, Emilie Devijver, Yury Maximov:
Self-training: A survey. Neurocomputing 616: 128904 (2025) - 2024
- Aleksandra Malkova, Massih-Reza Amini, Benoît Denis, Christophe Villien:
Neural architecture search for radio map reconstruction with partially labeled data. Integr. Comput. Aided Eng. 31(3): 285-305 (2024) - Vasilii Feofanov, Emilie Devijver, Massih-Reza Amini:
Multi-class Probabilistic Bounds for Majority Vote Classifiers with Partially Labeled Data. J. Mach. Learn. Res. 25: 104:1-104:47 (2024) - Rui-Ray Zhang, Massih-Reza Amini:
Generalization bounds for learning under graph-dependence: a survey. Mach. Learn. 113(7): 3929-3959 (2024) - Vincent Segonne, Aidan Mannion, Laura Cristina Alonzo Canul, Alexandre Daniel Audibert, Xingyu Liu, Cécile Macaire, Adrien Pupier, Yongxin Zhou, Mathilde Aguiar, Felix E. Herron, Magali Norré, Massih-Reza Amini, Pierrette Bouillon, Iris Eshkol-Taravella, Emmanuelle Esperança-Rodier, Thomas François, Lorraine Goeuriot, Jérôme Goulian, Mathieu Lafourcade, Benjamin Lecouteux, François Portet, Fabien Ringeval, Vincent Vandeghinste, Maximin Coavoux, Marco Dinarelli, Didier Schwab:
Jargon: A Suite of Language Models and Evaluation Tasks for French Specialized Domains. LREC/COLING 2024: 9463-9476 - Lies Hadjadj, Emilie Devijver, Rémi Molinier, Massih-Reza Amini:
Efficient Initial Data Selection and Labeling for Multi-Class Classification Using Topological Analysis. ECAI 2024: 2677-2684 - Alexandre Audibert, Aurélien Gauffre, Massih-Reza Amini:
Exploring Contrastive Learning for Long-Tailed Multi-label Text Classification. ECML/PKDD (7) 2024: 245-261 - Aurélien Gauffre, Julien Horvat, Massih-Reza Amini:
A Unified Contrastive Loss for Self-training. ECML/PKDD (8) 2024: 3-18 - Bahareh Afshinpour, Massih-Reza Amini, Roland Groz:
Semantic Log Partitioning: Towards Automated Root Cause Analysis. QRS 2024: 639-648 - Vincent Segonne, Aidan Mannion, Laura Cristina Alonzo Canul, Alexandre Audibert, Xingyu Liu, Cécile Macaire, Adrien Pupier, Yongxin Zhou, Mathilde Aguiar, Felix E. Herron, Magali Norré, Massih-Reza Amini, Pierrette Bouillon, Iris Eshkol-Taravella, Emmanuelle Esparança-Rodier, Thomas François, Lorraine Goeuriot, Jérôme Goulian, Mathieu Lafourcade, Benjamin Lecouteux, François Portet, Fabien Ringeval, Vincent Vandeghinste, Maximin Coavoux, Marco Dinarelli, Didier Schwab:
Jargon : Une suite de modèles de langues et de référentiels d'évaluation pour les domaines spécialisés du français. TALN (2) 2024: 9-10 - Alexandre Audibert, Aurélien Gauffre, Massih-Reza Amini:
Exploring Contrastive Learning for Long-Tailed Multi-Label Text Classification. CoRR abs/2404.08720 (2024) - Ashna Jose, Emilie Devijver, Massih-Reza Amini, Noël Jakse, Roberta Poloni:
Classification Tree-based Active Learning: A Wrapper Approach. CoRR abs/2404.09953 (2024) - Ali Aghababaei Harandi, Massih-Reza Amini:
Unified Framework for Neural Network Compression via Decomposition and Optimal Rank Selection. CoRR abs/2409.03555 (2024) - Aurélien Gauffre, Julien Horvat, Massih-Reza Amini:
A Unified Contrastive Loss for Self-Training. CoRR abs/2409.07292 (2024) - 2023
- Michele Bernardini, Anastasiia Doinychko, Luca Romeo, Emanuele Frontoni, Massih-Reza Amini:
A novel missing data imputation approach based on clinical conditional Generative Adversarial Networks applied to EHR datasets. Comput. Biol. Medicine 163: 107188 (2023) - Alexandre Audibert, Massih-Reza Amini, Konstantin Usevich, Marianne Clausel:
Low-Rank Updates of pre-trained Weights for Multi-Task Learning. ACL (Findings) 2023: 7544-7554 - Lies Hadjadj, Massih-Reza Amini, Sana Louhichi:
Generalization Guarantees of Self-Training of Halfspaces under Label Noise Corruption. IJCAI 2023: 3777-3785 - Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part I. Lecture Notes in Computer Science 13713, Springer 2023, ISBN 978-3-031-26386-6 [contents] - Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part II. Lecture Notes in Computer Science 13714, Springer 2023, ISBN 978-3-031-26389-7 [contents] - Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part III. Lecture Notes in Computer Science 13715, Springer 2023, ISBN 978-3-031-26408-5 [contents] - Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part IV. Lecture Notes in Computer Science 13716, Springer 2023, ISBN 978-3-031-26411-5 [contents] - Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part V. Lecture Notes in Computer Science 13717, Springer 2023, ISBN 978-3-031-26418-4 [contents] - Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part VI. Lecture Notes in Computer Science 13718, Springer 2023, ISBN 978-3-031-26421-4 [contents] - Aleksandra Malkova, Massih-Reza Amini, Benoît Denis, Christophe Villien:
Deep Learning with Partially Labeled Data for Radio Map Reconstruction. CoRR abs/2306.05294 (2023) - Lies Hadjadj, Emilie Devijver, Rémi Molinier, Massih-Reza Amini:
Pool-Based Active Learning with Proper Topological Regions. CoRR abs/2310.01597 (2023) - 2022
- Vasilii Feofanov, Emilie Devijver, Massih-Reza Amini:
Wrapper feature selection with partially labeled data. Appl. Intell. 52(11): 12316-12329 (2022) - Aleksandra Burashnikova, Marianne Clausel, Massih-Reza Amini, Yury Maximov, Nicolas Dante:
Recommender Systems: When Memory Matters. ECIR (2) 2022: 56-63 - Loïc Pauletto, Massih-Reza Amini, Nicolas Winckler:
Se2NAS: Self-Semi-Supervised architecture optimization for Semantic Segmentation. ICPR 2022: 54-60 - Bahareh Afshinpour, Roland Groz, Massih-Reza Amini:
Correlating Test Events With Monitoring Logs For Test Log Reduction And Anomaly Prediction. ISSRE Workshops 2022: 274-280 - Bahareh Afshinpour, Roland Groz, Massih-Reza Amini:
Telemetry-Based Software Failure Prediction by Concept-Space Model Creation. QRS 2022: 199-208
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