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2020 – today
- 2025
[j27]Massih-Reza Amini, Vasilii Feofanov, Loïc Pauletto, Lies Hadjadj, Emilie Devijver, Yury Maximov:
Self-training: A survey. Neurocomputing 616: 128904 (2025)- 2024
- [j26]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) - [j25]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) - [j24]Rui-Ray Zhang
, Massih-Reza Amini:
Generalization bounds for learning under graph-dependence: a survey. Mach. Learn. 113(7): 3929-3959 (2024) - [c102]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 - [c101]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 - [c100]Aurélien Gauffre, Julien Horvat, Massih-Reza Amini:
A Unified Contrastive Loss for Self-training. ECML/PKDD (8) 2024: 3-18 - [c99]Alexandre Audibert, Aurélien Gauffre, Massih-Reza Amini:
Exploring Contrastive Learning for Long-Tailed Multi-label Text Classification. ECML/PKDD (7) 2024: 245-261 - [c98]Bahareh Afshinpour, Massih-Reza Amini, Roland Groz:
Semantic Log Partitioning: Towards Automated Root Cause Analysis. QRS 2024: 639-648 - [c97]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 - [i38]Alexandre Audibert, Aurélien Gauffre, Massih-Reza Amini:
Exploring Contrastive Learning for Long-Tailed Multi-Label Text Classification. CoRR abs/2404.08720 (2024) - [i37]Ashna Jose, Emilie Devijver, Massih-Reza Amini, Noël Jakse, Roberta Poloni:
Classification Tree-based Active Learning: A Wrapper Approach. CoRR abs/2404.09953 (2024) - [i36]Ali Aghababaei Harandi, Massih-Reza Amini:
Unified Framework for Neural Network Compression via Decomposition and Optimal Rank Selection. CoRR abs/2409.03555 (2024) - [i35]Aurélien Gauffre, Julien Horvat, Massih-Reza Amini:
A Unified Contrastive Loss for Self-Training. CoRR abs/2409.07292 (2024) - 2023
- [j23]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) - [c96]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 - [c95]Lies Hadjadj, Massih-Reza Amini, Sana Louhichi:
Generalization Guarantees of Self-Training of Halfspaces under Label Noise Corruption. IJCAI 2023: 3777-3785 - [e6]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] - [e5]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] - [e4]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] - [e3]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] - [e2]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] - [e1]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] - [i34]Aleksandra Malkova, Massih-Reza Amini, Benoît Denis, Christophe Villien:
Deep Learning with Partially Labeled Data for Radio Map Reconstruction. CoRR abs/2306.05294 (2023) - [i33]Lies Hadjadj, Emilie Devijver, Rémi Molinier, Massih-Reza Amini:
Pool-Based Active Learning with Proper Topological Regions. CoRR abs/2310.01597 (2023) - 2022
- [j22]Vasilii Feofanov, Emilie Devijver, Massih-Reza Amini:
Wrapper feature selection with partially labeled data. Appl. Intell. 52(11): 12316-12329 (2022) - [c94]Aleksandra Burashnikova, Marianne Clausel, Massih-Reza Amini, Yury Maximov, Nicolas Dante:
Recommender Systems: When Memory Matters. ECIR (2) 2022: 56-63 - [c93]Loïc Pauletto, Massih-Reza Amini, Nicolas Winckler:
Se2NAS: Self-Semi-Supervised architecture optimization for Semantic Segmentation. ICPR 2022: 54-60 - [c92]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 - [c91]Bahareh Afshinpour, Roland Groz, Massih-Reza Amini:
Telemetry-Based Software Failure Prediction by Concept-Space Model Creation. QRS 2022: 199-208 - [i32]Loïc Pauletto, Massih-Reza Amini, Nicolas Winckler:
Self Semi Supervised Neural Architecture Search for Semantic Segmentation. CoRR abs/2201.12646 (2022) - [i31]Massih-Reza Amini, Vasilii Feofanov, Loïc Pauletto, Emilie Devijver, Yury Maximov:
Self-Training: A Survey. CoRR abs/2202.12040 (2022) - [i30]Aleksandra Burashnikova, Yury Maximov, Marianne Clausel, Charlotte Laclau, Franck Iutzeler, Massih-Reza Amini:
Learning over No-Preferred and Preferred Sequence of Items for Robust Recommendation (Extended Abstract). CoRR abs/2202.13240 (2022) - [i29]Rui-Ray Zhang, Massih-Reza Amini:
Generalization bounds for learning under graph-dependence: A survey. CoRR abs/2203.13534 (2022) - 2021
- [j21]Sumit Sidana, Mikhail Trofimov, Oleh Horodnytskyi, Charlotte Laclau, Yury Maximov, Massih-Reza Amini:
User preference and embedding learning with implicit feedback for recommender systems. Data Min. Knowl. Discov. 35(2): 568-592 (2021) - [j20]Aleksandra Burashnikova, Yury Maximov, Marianne Clausel, Charlotte Laclau, Franck Iutzeler, Massih-Reza Amini:
Learning over No-Preferred and Preferred Sequence of Items for Robust Recommendation. J. Artif. Intell. Res. 71: 121-142 (2021) - [j19]Dmitry Grishchenko, Franck Iutzeler, Jérôme Malick, Massih-Reza Amini:
Distributed Learning with Sparse Communications by Identification. SIAM J. Math. Data Sci. 3(2): 715-735 (2021) - [j18]Michele Bernardini, Luca Romeo, Emanuele Frontoni, Massih-Reza Amini:
A Semi-Supervised Multi-Task Learning Approach for Predicting Short-Term Kidney Disease Evolution. IEEE J. Biomed. Health Informatics 25(10): 3983-3994 (2021) - [c90]Aleksandra Malkova, Loïc Pauletto, Christophe Villien, Benoît Denis, Massih-Reza Amini:
Self-learning for Received Signal Strength Map Reconstruction with Neural Architecture Search. ICANN (5) 2021: 515-526 - [c89]Artem Betlei, Eustache Diemert, Massih-Reza Amini:
Uplift Modeling with Generalization Guarantees. KDD 2021: 55-65 - [i28]Aleksandra Malkova, Loïc Pauletto, Christophe Villien, Benoît Denis, Massih-Reza Amini:
Self-Learning for Received Signal Strength Map Reconstruction with Neural Architecture Search. CoRR abs/2105.07768 (2021) - [i27]Vasilii Feofanov, Emilie Devijver, Massih-Reza Amini:
Multi-class Probabilistic Bounds for Self-learning. CoRR abs/2109.14422 (2021) - [i26]Eustache Diemert, Artem Betlei, Christophe Renaudin, Massih-Reza Amini, Théophane Gregoir, Thibaud Rahier:
A Large Scale Benchmark for Individual Treatment Effect Prediction and Uplift Modeling. CoRR abs/2111.10106 (2021) - [i25]Lies Hadjadj, Massih-Reza Amini, Sana Louhichi, Alexis Deschamps:
Self-Training of Halfspaces with Generalization Guarantees under Massart Mislabeling Noise Model. CoRR abs/2111.14427 (2021) - [i24]Georgios Balikas, Massih-Reza Amini, Marianne Clausel:
Bilingual Topic Models for Comparable Corpora. CoRR abs/2111.15278 (2021) - [i23]Aleksandra Burashnikova, Marianne Clausel, Massih-Reza Amini, Yury Maximov, Nicolas Dante:
Recommender systems: when memory matters. CoRR abs/2112.02242 (2021) - 2020
- [b5]Massih-Reza Amini:
Machine Learning, 2nd Ed. Eyrolles 2020, ISBN 978-2-212-67947-2 - [c88]Bahareh Afshinpour, Roland Groz, Massih-Reza Amini, Yves Ledru, Catherine Oriat:
Reducing Regression Test Suites using the Word2Vec Natural Language Processing Tool. SEED/NLPaSE@APSEC 2020: 43-53 - [c87]Anastasiia Doinychko, Massih-Reza Amini:
Biconditional Generative Adversarial Networks for Multiview Learning with Missing Views. ECIR (1) 2020: 807-820 - [c86]Loïc Pauletto, Massih-Reza Amini, Rohit Babbar, Nicolas Winckler:
Neural Architecture Search for Extreme Multi-label Text Classification. ICONIP (3) 2020: 282-293 - [c85]Dmitry Grischenko, Franck Iutzeler, Massih-Reza Amini:
Sparse Asynchronous Distributed Learning. ICONIP (5) 2020: 429-438 - [i22]Aleksandra Burashnikova, Marianne Clausel, Charlotte Laclau, Frack Iutzeller, Yury Maximov, Massih-Reza Amini:
Learning over no-Preferred and Preferred Sequence of items for Robust Recommendation. CoRR abs/2012.06910 (2020) - [i21]Artem Betlei, Eustache Diemert, Massih-Reza Amini:
Treatment Targeting by AUUC Maximization with Generalization Guarantees. CoRR abs/2012.09897 (2020)
2010 – 2019
- 2019
- [j17]Anil Goyal, Emilie Morvant, Pascal Germain, Massih-Reza Amini:
Multiview Boosting by Controlling the Diversity and the Accuracy of View-specific Voters. Neurocomputing 358: 81-92 (2019) - [c84]Vasilii Feofanov, Emilie Devijver, Massih-Reza Amini:
Transductive Bounds for the Multi-Class Majority Vote Classifier. AAAI 2019: 3566-3573 - [c83]Georgios Balikas, Gaël Dias, Rumen Moraliyski, Houssam Akhmouch, Massih-Reza Amini:
Learning Lexical-Semantic Relations Using Intuitive Cognitive Links. ECIR (1) 2019: 3-18 - [c82]Aleksandra Burashnikova, Yury Maximov, Massih-Reza Amini:
Sequential Learning over Implicit Feedback for Robust Large-Scale Recommender Systems. ECML/PKDD (3) 2019: 253-269 - [i20]Alexandra Burashnikova, Yury Maximov, Massih-Reza Amini:
Sequential Learning over Implicit Feedback for Robust Large-Scale Recommender Systems. CoRR abs/1902.08495 (2019) - [i19]Anastasiia Doinychko, Massih-Reza Amini:
Biconditional Generative Adversarial Networks for Multiview Learning with Missing Views. CoRR abs/1911.01861 (2019) - [i18]Vasilii Feofanov, Massih-Reza Amini, Emilie Devijver:
Semi-supervised Wrapper Feature Selection with Imperfect Labels. CoRR abs/1911.04841 (2019) - [i17]Philippe Mulhem, Lorraine Goeuriot, Massih-Reza Amini, Nayanika Dogra:
Quels corpus d'entraînement pour l'expansion de requêtes par plongement de mots : application à la recherche de microblogs culturels. CoRR abs/1911.07317 (2019) - 2018
- [b4]Massih-Reza Amini:
机器学习：理论、实践与提高. iTuring 2018, ISBN 978-7-115-47965-5 - [j16]Bikash Joshi, Franck Iutzeler, Massih-Reza Amini:
Large-scale asynchronous distributed learning based on parameter exchanges. Int. J. Data Sci. Anal. 5(4): 223-232 (2018) - [j15]Yury Maximov, Massih-Reza Amini, Zaïd Harchaoui:
Rademacher Complexity Bounds for a Penalized Multi-class Semi-supervised Algorithm. J. Artif. Intell. Res. 61: 761-786 (2018) - [j14]Sumit Sidana, Sihem Amer-Yahia, Marianne Clausel, Majdeddine Rebai, Son T. Mai, Massih-Reza Amini:
Health Monitoring on Social Media over Time. IEEE Trans. Knowl. Data Eng. 30(8): 1467-1480 (2018) - [c81]Nayanika Dogra, Philippe Mulhem, Lorraine Goeuriot, Massih-Reza Amini:
Corpus d'entraînement sur les plongements de mots pour la recherche de microblogs culturels. CORIA 2018 - [c80]Georgios Balikas, Charlotte Laclau, Ievgen Redko, Massih-Reza Amini:
Cross-Lingual Document Retrieval Using Regularized Wasserstein Distance. ECIR 2018: 398-410 - [c79]Georgios Balikas, Gaël Dias, Massih-Reza Amini:
Multi-task Learning for Semantic Relations Discovery. EKAW (Posters & Demos) 2018: 5-8 - [c78]Konstantin Mishchenko, Franck Iutzeler, Jérôme Malick, Massih-Reza Amini:
A Delay-tolerant Proximal-Gradient Algorithm for Distributed Learning. ICML 2018: 3584-3592 - [c77]Artem Betlei, Eustache Diemert, Massih-Reza Amini:
Uplift Prediction with Dependent Feature Representation in Imbalanced Treatment and Control Conditions. ICONIP (5) 2018: 47-57 - [c76]Simon Moura, Amir Asarbaev, Massih-Reza Amini, Yury Maximov:
Heterogeneous Dyadic Multi-task Learning with Implicit Feedback. ICONIP (3) 2018: 660-672 - [c75]Anil Goyal, Emilie Morvant, Massih-Reza Amini:
Multiview Learning of Weighted Majority Vote by Bregman Divergence Minimization. IDA 2018: 124-136 - [c74]Yury Maximov, Massih-Reza Amini, Zaïd Harchaoui:
Rademacher Complexity Bounds for a Penalized Multi-class Semi-supervised Algorithm (Extended Abstract). IJCAI 2018: 5637-5641 - [c73]Sumit Sidana, Charlotte Laclau, Massih-Reza Amini:
Learning to recommend diverse items over implicit feedback on PANDOR. RecSys 2018: 427-431 - [d3]Massih-Reza Amini, Charlotte Laclau, Sumit Sidana:
PANDOR. UCI Machine Learning Repository, 2018
- [i16]Georgios Balikas, Charlotte Laclau, Ievgen Redko, Massih-Reza Amini:
Cross-lingual Document Retrieval using Regularized Wasserstein Distance. CoRR abs/1805.04437 (2018) - [i15]Anil Goyal, Emilie Morvant, Massih-Reza Amini:
Multiview Learning of Weighted Majority Vote by Bregman Divergence Minimization. CoRR abs/1805.10212 (2018) - [i14]Georgios Balikas, Gaël Dias, Rumen Moraliyski, Massih-Reza Amini:
Concurrent Learning of Semantic Relations. CoRR abs/1807.10076 (2018) - [i13]Simon Moura, Massih-Reza Amini, Sana Louhichi, Marianne Clausel:
Rademacher Generalization Bounds for Classifier Chains. CoRR abs/1807.10166 (2018) - [i12]Anil Goyal, Emilie Morvant, Pascal Germain, Massih-Reza Amini:
Multiview Boosting by Controlling the Diversity and the Accuracy of View-specific Voters. CoRR abs/1808.05784 (2018) - [i11]Dmitry Grishchenko, Franck Iutzeler, Jérôme Malick, Massih-Reza Amini:
Asynchronous Distributed Learning with Sparse Communications and Identification. CoRR abs/1812.03871 (2018) - 2017
- [j13]Parantapa Goswami, Éric Gaussier, Massih-Reza Amini:
Exploring the space of information retrieval term scoring functions. Inf. Process. Manag. 53(2): 454-472 (2017) - [c72]Hesam Amoualian, Wei Lu, Éric Gaussier, Georgios Balikas, Massih-Reza Amini, Marianne Clausel:
Topical Coherence in LDA-based Models through Induced Segmentation. ACL (1) 2017: 1799-1809 - [c71]Bikash Joshi, Massih-Reza Amini, Ioannis Partalas, Franck Iutzeler, Yury Maximov:
Aggressive Sampling for Multi-class to Binary Reduction with Applications to Text Classification. NIPS 2017: 4159-4168 - [c70]Anil Goyal, Emilie Morvant, Pascal Germain, Massih-Reza Amini:
PAC-Bayesian Analysis for a Two-Step Hierarchical Multiview Learning Approach. ECML/PKDD (2) 2017: 205-221 - [c69]Georgios Balikas, Simon Moura, Massih-Reza Amini:
Multitask Learning for Fine-Grained Twitter Sentiment Analysis. SIGIR 2017: 1005-1008 - [c68]Sumit Sidana, Charlotte Laclau, Massih-Reza Amini, Gilles Vandelle, André Bois-Crettez:
KASANDR: A Large-Scale Dataset with Implicit Feedback for Recommendation. SIGIR 2017: 1245-1248 - [d2]Sumit Sidana, Charlotte Laclau, Massih-Reza Amini:
KASANDR. UCI Machine Learning Repository, 2017 - [i10]Bikash Joshi, Massih-Reza Amini, Ioannis Partalas, Franck Iutzeler, Yury Maximov:
Aggressive Sampling for Multi-class to Binary Reduction with Applications to Text Classification. CoRR abs/1701.06511 (2017) - [i9]Mikhail Trofimov, Sumit Sidana, Oleh Horodnitskii, Charlotte Laclau, Yury Maximov, Massih-Reza Amini:
Representation Learning and Pairwise Ranking for Implicit and Explicit Feedback in Recommendation Systems. CoRR abs/1705.00105 (2017) - [i8]Georgios Balikas, Ioannis Partalas, Massih-Reza Amini:
On the effectiveness of feature set augmentation using clusters of word embeddings. CoRR abs/1705.01265 (2017) - [i7]Georgios Balikas, Simon Moura, Massih-Reza Amini:
Multitask Learning for Fine-Grained Twitter Sentiment Analysis. CoRR abs/1707.03569 (2017) - [i6]Cédric Lopez, Ioannis Partalas, Georgios Balikas, Nadia Derbas, Amélie Martin, Coralie Reutenauer, Frédérique Segond, Massih-Reza Amini:
CAp 2017 challenge: Twitter Named Entity Recognition. CoRR abs/1707.07568 (2017) - 2016
- [j12]Rohit Babbar, Ioannis Partalas, Éric Gaussier, Massih-Reza Amini, Cécile Amblard:
Learning Taxonomy Adaptation in Large-scale Classification. J. Mach. Learn. Res. 17: 98:1-98:37 (2016) - [c67]Georgios Balikas, Hesam Amoualian, Marianne Clausel, Éric Gaussier, Massih-Reza Amini:
Modeling topic dependencies in semantically coherent text spans with copulas. COLING 2016: 1767-1776 - [c66]Georgios Balikas, Massih-Reza Amini:
Multi-label, Multi-class Classification Using Polylingual Embeddings. ECIR 2016: 723-728 - [c65]Hesam Amoualian, Marianne Clausel, Éric Gaussier, Massih-Reza Amini:
Streaming-LDA: A Copula-based Approach to Modeling Topic Dependencies in Document Streams. KDD 2016: 695-704 - [c64]Bikash Joshi, Franck Iutzeler, Massih-Reza Amini:
Asynchronous Distributed Matrix Factorization with Similar User and Item Based Regularization. RecSys 2016: 75-78 - [c63]Georgios Balikas, Massih-Reza Amini:
TwiSE at SemEval-2016 Task 4: Twitter Sentiment Classification. SemEval@NAACL-HLT 2016: 85-91 - [c62]Sumit Sidana, Shashwat Mishra, Sihem Amer-Yahia, Marianne Clausel, Massih-Reza Amini:
Health Monitoring on Social Media over Time. SIGIR 2016: 849-852 - [c61]Georgios Balikas, Massih-Reza Amini, Marianne Clausel:
On a Topic Model for Sentences. SIGIR 2016: 921-924 - [i5]Georgios Balikas, Massih-Reza Amini, Marianne Clausel:
On a Topic Model for Sentences. CoRR abs/1606.00253 (2016) - [i4]Georgios Balikas, Massih-Reza Amini:
TwiSE at SemEval-2016 Task 4: Twitter Sentiment Classification. CoRR abs/1606.04351 (2016) - [i3]Georgios Balikas, Massih-Reza Amini:
An empirical study on large scale text classification with skip-gram embeddings. CoRR abs/1606.06623 (2016) - [i2]Yury Maximov, Massih-Reza Amini, Zaïd Harchaoui:
Rademacher Complexity Bounds for a Penalized Multiclass Semi-Supervised Algorithm. CoRR abs/1607.00567 (2016) - 2015
- [b3]Massih-Reza Amini:
Apprentissage Machine: de la théorie à la pratique. Eyrolles 2015, ISBN 978-2-212-13800-9, pp. 1-295 - [b2]Massih-Reza Amini, Nicolas Usunier:
Learning with Partially Labeled and Interdependent Data. Springer 2015, ISBN 978-3-319-15725-2, pp. 1-97 - [j11]Ali Fakeri-Tabrizi, Massih-Reza Amini, Cyril Goutte, Nicolas Usunier:
Multiview self-learning. Neurocomputing 155: 117-127 (2015) - [c60]Parantapa Goswami, Massih-Reza Amini, Éric Gaussier:
À la recherche des paramètres des modèles de RI. CORIA 2015: 173-187 - [c59]Liva Ralaivola, Massih-Reza Amini:
Entropy-Based Concentration Inequalities for Dependent Variables. ICML 2015: 2436-2444 - [c58]Mikhail P. Kuznetsov, Marianne Clausel, Massih-Reza Amini, Éric Gaussier, Vadim V. Strijov:
Supervised Topic Classification for Modeling a Hierarchical Conference Structure. ICONIP (1) 2015: 90-97 - [c57]Maria-Irina Nicolae, Marc Sebban, Amaury Habrard, Éric Gaussier, Massih-Reza Amini:
Algorithmic Robustness for Semi-Supervised (ε, γ, τ) -Good Metric Learning. ICONIP (1) 2015: 253-263 - [c56]Parantapa Goswami, Massih-Reza Amini, Éric Gaussier:
Language-independent Query Representation for IR Model Parameter Estimation on Unlabeled Collections. ICTIR 2015: 121-130 - [c55]Parantapa Goswami, Massih-Reza Amini, Éric Gaussier:
Study of Heuristic IR Constraints Under Function Discovery Framework. ICTIR 2015: 365-368 - [c54]Georgios Balikas, Ioannis Partalas, Éric Gaussier, Rohit Babbar, Massih-Reza Amini:
Efficient Model Selection for Regularized Classification by Exploiting Unlabeled Data. IDA 2015: 25-36 - [c53]Bikash Joshi, Massih-Reza Amini, Ioannis Partalas, Liva Ralaivola, Nicolas Usunier, Éric Gaussier:
On Binary Reduction of Large-Scale Multiclass Classification Problems. IDA 2015: 132-144 - [c52]Maria-Irina Nicolae, Marc Sebban, Amaury Habrard, Éric Gaussier, Massih-Reza Amini:
Algorithmic Robustness for Semi-Supervised (ε, γ, τ)-Good Metric Learning. ICLR (Workshop) 2015 - [i1]Ioannis Partalas, Aris Kosmopoulos, Nicolas Baskiotis, Thierry Artières, George Paliouras, Éric Gaussier, Ion Androutsopoulos, Massih-Reza Amini, Patrick Gallinari:
LSHTC: A Benchmark for Large-Scale Text Classification. CoRR abs/1503.08581 (2015) - 2014
- [j10]Rohit Babbar, Cornelia Metzig, Ioannis Partalas, Éric Gaussier, Massih-Reza Amini:
On power law distributions in large-scale taxonomies. SIGKDD Explor. 16(1): 47-56 (2014) - [c51]Parantapa Goswami, Simon Moura, Éric Gaussier, Massih-Reza Amini, Francis Maes:
Exploring the Space of IR Functions. ECIR 2014: 372-384 - [c50]Rohit Babbar, Ioannis Partalas, Éric Gaussier, Massih-Reza Amini:
Re-ranking approach to classification in large-scale power-law distributed category systems. SIGIR 2014: 1059-1062 - [c49]Ioannis Partalas, Massih-Reza Amini, Ion Androutsopoulos, Thierry Artières, Patrick Gallinari, Éric Gaussier, Georgios Paliouras:
Web-scale classification: web classification in the big data era. WSDM 2014: 687-688 - 2013
- [b1]Massih-Reza Amini, Éric Gaussier:
Recherche d'Information - applications, modèles et algorithmes. Eyrolles 2013, ISBN 978-2-212-13532-9, pp. I-XIX, 1-233 - [c48]Parantapa Goswami, Massih-Reza Amini, Éric Gaussier:
Transferring knowledge with source selection to learn IR functions on unlabeled collections. CIKM 2013: 2315-2320 - [c47]Rohit Babbar, Ioannis Partalas, Cornelia Metzig, Éric Gaussier, Massih-Reza Amini:
Comparative Classifier Evaluation for Web-Scale Taxonomies Using Power Law. ESWC (Satellite Events) 2013: 310-311 - [c46]Rohit Babbar, Ioannis Partalas, Éric Gaussier, Massih-Reza Amini:
Maximum-Margin Framework for Training Data Synchronization in Large-Scale Hierarchical Classification. ICONIP (1) 2013: 336-343 - [c45]Ali Fakeri-Tabrizi, Massih-Reza Amini, Patrick Gallinari:
Multiview semi-supervised ranking for automatic image annotation. ACM Multimedia 2013: 513-516 - [c44]Rohit Babbar, Ioannis Partalas, Éric Gaussier, Massih-Reza Amini:
On Flat versus Hierarchical Classification in Large-Scale Taxonomies. NIPS 2013: 1824-1832 - [d1]Massih-Reza Amini, Cyril Goutte:
Reuters RCV1 RCV2 Multilingual, Multiview Text Categorization Test collection. UCI Machine Learning Repository, 2013 - 2012
- [j9]Benjamin Piwowarski, Massih-Reza Amini, Mounia Lalmas:
On using a quantum physics formalism for multidocument summarization. J. Assoc. Inf. Sci. Technol. 63(5): 865-888 (2012) - [c43]Michelle Kovesi, Cyril Goutte, Massih-Reza Amini:
Fast on-line learning for multilingual categorization. SIGIR 2012: 1071-1072 - [p1]Massih-Reza Amini, David Buffoni, Patrick Gallinari, Tuong-Vinh Truong, Nicolas Usunier:
Learnable Ranking Models for Automatic Text Summarization and Information Retrieval. Textual Information Access: Statistical Models 2012: 33-58 - 2011
- [j8]Anastasia Krithara, Massih-Reza Amini, Cyril Goutte, Jean-Michel Renders:
Learning aspect models with partially labeled data. Pattern Recognit. Lett. 32(2): 297-304 (2011) - [c42]Nicolas Usunier, Massih-Reza Amini, Cyril Goutte:
Multiview Semi-supervised Learning for Ranking Multilingual Documents. ECML/PKDD (3) 2011: 443-458 - [c41]Massih-Reza Amini, Nicolas Usunier:
Transductive learning over automatically detected themes for multi-document summarization. SIGIR 2011: 1193-1194 - 2010
- [j7]Young-Min Kim, Jean-François Pessiot, Massih-Reza Amini, Patrick Gallinari:
Apprentissage d'un espace de concepts de mots pour une nouvelle représentation des données textuelles. Document Numérique 13(1): 63-82 (2010) - [j6]Sabrina Tollari, Marcin Detyniecki, Ali Fakeri-Tabrizi, Christophe Marsala, Massih-Reza Amini, Patrick Gallinari:
Exploitation du contenu visuel pour améliorer la recherche textuelle d'images en ligne. Document Numérique 13(1): 187-209 (2010) - [j5]Jean-François Pessiot, Young-Min Kim, Massih-Reza Amini, Patrick Gallinari:
Improving document clustering in a learned concept space. Inf. Process. Manag. 46(2): 180-192 (2010) - [j4]Massih-Reza Amini, Cyril Goutte:
A co-classification approach to learning from multilingual corpora. Mach. Learn. 79(1-2): 105-121 (2010) - [c40]Ali Fakeri-Tabrizi, Sabrina Tollari, Nicolas Usunier, Massih-Reza Amini, Patrick Gallinari:
UPMC/LIP6 at ImageCLEFannotation 2010. CLEF (Notebook Papers/LABs/Workshops) 2010 - [c39]Anastasia Krithara, Massih-Reza Amini, Cyril Goutte, Jean-Michel Renders:
An Extension of the Aspect PLSA Model to Active and Semi-Supervised Learning for Text Classification. SETN 2010: 183-192 - [c38]Massih-Reza Amini, Cyril Goutte, Nicolas Usunier:
Combining coregularization and consensus-based self-training for multilingual text categorization. SIGIR 2010: 475-482 - [c37]Young-Min Kim, Massih-Reza Amini, Cyril Goutte, Patrick Gallinari:
Multi-view clustering of multilingual documents. SIGIR 2010: 821-822
2000 – 2009
- 2009
- [c36]Sabrina Tollari, Marcin Detyniecki, Ali Fakeri-Tabrizi, Christophe Marsala, Massih-Reza Amini, Patrick Gallinari:
Utilisation de concepts visuels et de la diversité visuelle pour améliorer la recherche d'images. CORIA 2009: 83-98 - [c35]Sabrina Tollari, Marcin Detyniecki, Christophe Marsala, Ali Fakeri-Tabrizi, Massih-Reza Amini, Patrick Gallinari:
Exploiting Visual Concepts to Improve Text-Based Image Retrieval. ECIR 2009: 701-705 - [c34]Tuong-Vinh Truong, Massih-Reza Amini, Patrick Gallinari:
A self-training method for learning to rank with unlabeled data. ESANN 2009 - [c33]Massih-Reza Amini, Nicolas Usunier, Cyril Goutte:
Learning from Multiple Partially Observed Views - an Application to Multilingual Text Categorization. NIPS 2009: 28-36 - [c32]Massih-Reza Amini, Nicolas Usunier:
Incorporating prior knowledge into a transductive ranking algorithm for multi-document summarization. SIGIR 2009: 704-705 - 2008
- [c31]Young-Min Kim, Jean-François Pessiot, Massih-Reza Amini, Patrick Gallinari:
An extension of PLSA for document clustering. CIKM 2008: 1345-1346 - [c30]Ali Fakeri-Tabrizi, Massih-Reza Amini, Sabrina Tollari, Patrick Gallinari:
UPMC/LIP6 at ImageCLEF's WikipediaMM: An Image-Annotation Model for an Image Search-Engine. CLEF (Working Notes) 2008 - [c29]Sabrina Tollari, Marcin Detyniecki, Ali Fakeri-Tabrizi, Massih-Reza Amini, Patrick Gallinari:
UPMC/LIP6 at ImageCLEFphoto 2008: on the Exploitation of Visual Concepts (VCDT). CLEF (Working Notes) 2008 - [c28]Sabrina Tollari, Marcin Detyniecki, Marin Ferecatu, Hervé Glotin, Philippe Mulhem, Massih-Reza Amini, Ali Fakeri-Tabrizi, Patrick Gallinari, Hichem Sahbi, Zhong-Qiu Zhao:
Consortium AVEIR at ImageCLEFphoto 2008: on the Fusion of Runs. CLEF (Working Notes) 2008 - [c27]Sabrina Tollari, Marcin Detyniecki, Ali Fakeri-Tabrizi, Christophe Marsala, Massih-Reza Amini, Patrick Gallinari:
Using Visual Concepts and Fast Visual Diversity to Improve Image Retrieval. CLEF 2008: 577-584 - [c26]Young-Min Kim, Jean-François Pessiot, Massih-Reza Amini, Patrick Gallinari:
Apprentissage d'un espace de concepts de mots pour une nouvelle représentation des données textuelles. CORIA 2008: 119-134 - [c25]Jean-François Pessiot, Young-Min Kim, Massih-Reza Amini, Nicolas Usunier, Patrick Gallinari:
Une méthode contextuelle d'extension de requête avec des groupements de mots pour le résumé automatique. CORIA 2008: 289-304 - [c24]Anastasia Krithara, Massih-Reza Amini, Jean-Michel Renders, Cyril Goutte:
Semi-supervised Document Classification with a Mislabeling Error Model. ECIR 2008: 370-381 - [c23]Massih-Reza Amini, François Laviolette, Nicolas Usunier:
A Transductive Bound for the Voted Classifier with an Application to Semi-supervised Learning. NIPS 2008: 65-72 - [c22]Massih-Reza Amini, Tuong-Vinh Truong, Cyril Goutte:
A boosting algorithm for learning bipartite ranking functions with partially labeled data. SIGIR 2008: 99-106 - 2007
- [j3]Massih-Reza Amini, Anastasios Tombros, Nicolas Usunier, Mounia Lalmas:
Learning-based summarisation of XML documents. Inf. Retr. 10(3): 233-255 (2007) - [c21]Jean-François Pessiot, Tuong-Vinh Truong, Nicolas Usunier, Massih-Reza Amini, Patrick Gallinari:
Filtrage Collaboratif avec un Algorithme d'Ordonnancement. CORIA 2007: 165-180 - [c20]Tuong-Vinh Truong, Massih-Reza Amini:
Apprentissage semi-supervisé de fonctions d'ordonnancement. EGC 2007: 497-507 - [c19]Jean-François Pessiot, Tuong-Vinh Truong, Nicolas Usunier, Massih-Reza Amini, Patrick Gallinari:
Learning to Rank for Collaborative Filtering. ICEIS (2) 2007: 145-151 - [c18]Christophe Marsala, Marcin Detyniecki, Nicolas Usunier, Massih-Reza Amini:
UHigh-Level Feature Detection with Forests of Fuzzy Decision Trees combined with the RankBoost Algorithm. TRECVID 2007 - 2006
- [j2]Nicolas Usunier, Massih-Reza Amini, Patrick Gallinari:
Résumé automatique de texte avec un algorithme d'ordonnancement. Ingénierie des Systèmes d Inf. 11(2): 71-91 (2006) - [c17]Jean-François Pessiot, Tuong-Vinh Truong, Nicolas Usunier, Massih-Reza Amini, Patrick Gallinari:
Factorisation en matrices non négatives pour le filtrage collaboratif. CORIA 2006: 315-326 - [c16]Massih-Reza Amini, Nicolas Usunier, François Laviolette, Alexandre Lacasse, Patrick Gallinari:
A Selective Sampling Strategy for Label Ranking. ECML 2006: 18-29 - 2005
- [j1]Massih-Reza Amini, Patrick Gallinari:
Semi-supervised learning with an imperfect supervisor. Knowl. Inf. Syst. 8(4): 385-413 (2005) - [c15]Massih-Reza Amini, Anastasios Tombros, Nicolas Usunier, Mounia Lalmas, Patrick Gallinari:
Learning to summarise XML documents using content and structure. CIKM 2005: 297-298 - [c14]Nicolas Usunier, Massih-Reza Amini, Patrick Gallinari:
Résumé automatique de texte avec un algorithme d'ordonnancement. CORIA 2005: 25-40 - [c13]Massih-Reza Amini, Nicolas Usunier, Patrick Gallinari:
Automatic Text Summarization Based on Word-Clusters and Ranking Algorithms. ECIR 2005: 142-156 - [c12]Nicolas Usunier, Massih-Reza Amini, Patrick Gallinari:
Combinaison de fonctions de préférence par boosting pour la recherche de passages dans les systèmes de question/réponse. EGC 2005: 1-6 - [c11]Nicolas Usunier, Massih-Reza Amini, Patrick Gallinari:
Generalization error bounds for classifiers trained with interdependent data. NIPS 2005: 1369-1376 - 2004
- [c10]Jean-François Pessiot, Marc Caillet, Massih-Reza Amini, Patrick Gallinari:
Apprentissage non-supervisé pour la segmentation automatique de textes. CORIA 2004: 213-228 - [c9]Marc Caillet, Jean-François Pessiot, Massih-Reza Amini, Patrick Gallinari:
Unsupervised Learning with Term Clustering for Thematic Segmentation of Texts. RIAO 2004: 648-657 - 2003
- [c8]Massih-Reza Amini, Patrick Gallinari:
Semi-Supervised Learning with Explicit Misclassification Modeling. IJCAI 2003: 555-560 - 2002
- [c7]Massih-Reza Amini, Patrick Gallinari:
Semi Supervised Logistic Regression. ECAI 2002: 390-394 - [c6]Jean-Noël Vittaut, Massih-Reza Amini, Patrick Gallinari:
Learning Classification with Both Labeled and Unlabeled Data. ECML 2002: 468-479 - [c5]Massih-Reza Amini, Patrick Gallinari:
The use of unlabeled data to improve supervised learning for text summarization. SIGIR 2002: 105-112 - 2001
- [c4]Massih-Reza Amini, Patrick Gallinari:
Learning for Text Summarization Using Labeled and Unlabeled Sentences. ICANN 2001: 1177-1184 - [c3]Massih-Reza Amini, Patrick Gallinari:
Automatic Text Summarization Using Unsupervised and Semi-supervised Learning. PKDD 2001: 16-28 - 2000
- [c2]Massih-Reza Amini, Hugo Zaragoza, Patrick Gallinari:
Learning for Sequence Extraction Tasks. RIAO 2000: 476-490
1990 – 1999
- 1999
- [c1]Massih-Reza Amini, Hugo Zaragoza, Patrick Gallinari:
Sequence Models for Automatic Highlighting and Surface Information Extraction. BCS-IRSG Annual Colloquium on IR Research 1999
Coauthor Index
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