Massih-Reza Amini

185 papers A* 21A 14B 6C 3Misc 2Journal 68Unranked 57

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	AI Agentic Vulnerability Injection And Transformation with Optimized Reasoning. CoRR Amine Lbath, Massih-Reza Amini, Aurélien Delaitre, Vadim Okun
2025	—	`book`	Advanced Supervised and Semi-supervised Learning - Theory and Algorithms Massih-Reza Amini
2025	J	`jnl`	Self-training: A survey. Neurocomputing Massih-Reza Amini, Vasilii Feofanov, Loïc Pauletto, Lies Hadjadj, Emilie Devijver, Yury Maximov
2025	J	`jnl`	Stylized Meta-Album: Group-bias injection with style transfer to study robustness against distribution shifts. CoRR Romain Mussard, Aurélien Gauffre, Ihsan Ullah, Thanh Gia Hieu Khuong, Massih-Reza Amini, Isabelle Guyon, Lisheng Sun-Hosoya
2025	—	`conf`	Unified Framework for Pre-trained Neural Network Compression via Decomposition and Optimized Rank Selection. ECML/PKDD (6) Ali Aghababaei Harandi, Massih-Reza Amini
2024	J	`jnl`	A Unified Contrastive Loss for Self-Training. CoRR Aurélien Gauffre, Julien Horvat, Massih-Reza Amini
2024	—	`conf`	A Unified Contrastive Loss for Self-training. ECML/PKDD (8) Aurélien Gauffre, Julien Horvat, Massih-Reza Amini
2024	J	`jnl`	Classification Tree-based Active Learning: A Wrapper Approach. CoRR Ashna Jose, Emilie Devijver, Massih-Reza Amini, Noël Jakse, Roberta Poloni
2024	A	`conf`	Efficient Initial Data Selection and Labeling for Multi-Class Classification Using Topological Analysis. ECAI Lies Hadjadj, Emilie Devijver, Rémi Molinier, Massih-Reza Amini
2024	J	`jnl`	Exploring Contrastive Learning for Long-Tailed Multi-Label Text Classification. CoRR Alexandre Audibert, Aurélien Gauffre, Massih-Reza Amini
2024	—	`conf`	Exploring Contrastive Learning for Long-Tailed Multi-label Text Classification. ECML/PKDD (7) Alexandre Audibert, Aurélien Gauffre, Massih-Reza Amini
2024	J	`jnl`	Generalization bounds for learning under graph-dependence: a survey. Mach. Learn. Rui-Ray Zhang, Massih-Reza Amini
2024	—	`conf`	Jargon : Une suite de modèles de langues et de référentiels d'évaluation pour les domaines spécialisés du français. TALN (2) Vincent Segonne, Aidan Mannion, Laura Cristina Alonzo Canul, Alexandre Audibert, Xingyu Liu, Cécile Macaire, Adrien Pupier, Yongxin Zhou, Mathilde Aguiar, Felix 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
2024	—	`conf`	Jargon: A Suite of Language Models and Evaluation Tasks for French Specialized Domains. LREC/COLING Vincent Segonne, Aidan Mannion, Laura Cristina Alonzo Canul, Alexandre Daniel Audibert, Xingyu Liu, Cécile Macaire, Adrien Pupier, Yongxin Zhou, Mathilde Aguiar, Felix 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
2024	J	`jnl`	Multi-Label Contrastive Learning : A Comprehensive Study. CoRR Alexandre Audibert, Aurélien Gauffre, Massih-Reza Amini
2024	J	`jnl`	Multi-class Probabilistic Bounds for Majority Vote Classifiers with Partially Labeled Data. J. Mach. Learn. Res. Vasilii Feofanov, Emilie Devijver, Massih-Reza Amini
2024	J	`jnl`	Neural architecture search for radio map reconstruction with partially labeled data. Integr. Comput. Aided Eng. Aleksandra Malkova, Massih-Reza Amini, Benoît Denis, Christophe Villien
2024	C	`conf`	Semantic Log Partitioning: Towards Automated Root Cause Analysis. QRS Bahareh Afshinpour, Massih-Reza Amini, Roland Groz
2024	J	`jnl`	Unified Framework for Neural Network Compression via Decomposition and Optimal Rank Selection. CoRR Ali Aghababaei Harandi, Massih-Reza Amini
2023	J	`jnl`	A novel missing data imputation approach based on clinical conditional Generative Adversarial Networks applied to EHR datasets. Comput. Biol. Medicine Michele Bernardini, Anastasiia Doinychko, Luca Romeo, Emanuele Frontoni, Massih-Reza Amini
2023	J	`jnl`	Deep Learning with Partially Labeled Data for Radio Map Reconstruction. CoRR Aleksandra Malkova, Massih-Reza Amini, Benoît Denis, Christophe Villien
2023	A*	`conf`	Generalization Guarantees of Self-Training of Halfspaces under Label Noise Corruption. IJCAI Lies Hadjadj, Massih-Reza Amini, Sana Louhichi
2023	—	`conf`	Low-Rank Updates of pre-trained Weights for Multi-Task Learning. ACL (Findings) Alexandre Audibert, Massih-Reza Amini, Konstantin Usevich, Marianne Clausel
2023	—	`ed.`	Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part I ECML/PKDD (1) Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas
2023	—	`ed.`	Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part II ECML/PKDD (2) Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas
2023	—	`ed.`	Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part III ECML/PKDD (3) Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas
2023	—	`ed.`	Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part IV ECML/PKDD (4) Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas
2023	—	`ed.`	Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part V ECML/PKDD (5) Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas
2023	—	`ed.`	Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part VI ECML/PKDD (6) Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas
2023	J	`jnl`	Pool-Based Active Learning with Proper Topological Regions. CoRR Lies Hadjadj, Emilie Devijver, Rémi Molinier, Massih-Reza Amini
2022	—	`conf`	Correlating Test Events With Monitoring Logs For Test Log Reduction And Anomaly Prediction. ISSRE Workshops Bahareh Afshinpour, Roland Groz, Massih-Reza Amini
2022	J	`jnl`	Generalization bounds for learning under graph-dependence: A survey. CoRR Rui-Ray Zhang, Massih-Reza Amini
2022	J	`jnl`	Learning over No-Preferred and Preferred Sequence of Items for Robust Recommendation (Extended Abstract). CoRR Aleksandra Burashnikova, Yury Maximov, Marianne Clausel, Charlotte Laclau, Franck Iutzeler, Massih-Reza Amini
2022	—	`conf`	Recommender Systems: When Memory Matters. ECIR (2) Aleksandra Burashnikova, Marianne Clausel, Massih-Reza Amini, Yury Maximov, Nicolas Dante
2022	B	`conf`	Se ICPR Loïc Pauletto, Massih-Reza Amini, Nicolas Winckler
2022	J	`jnl`	Self Semi Supervised Neural Architecture Search for Semantic Segmentation. CoRR Loïc Pauletto, Massih-Reza Amini, Nicolas Winckler
2022	J	`jnl`	Self-Training: A Survey. CoRR Massih-Reza Amini, Vasilii Feofanov, Loïc Pauletto, Emilie Devijver, Yury Maximov
2022	C	`conf`	Telemetry-Based Software Failure Prediction by Concept-Space Model Creation. QRS Bahareh Afshinpour, Roland Groz, Massih-Reza Amini
2022	J	`jnl`	Wrapper feature selection with partially labeled data. Appl. Intell. Vasilii Feofanov, Emilie Devijver, Massih-Reza Amini
2021	J	`jnl`	A Large Scale Benchmark for Individual Treatment Effect Prediction and Uplift Modeling. CoRR Eustache Diemert, Artem Betlei, Christophe Renaudin, Massih-Reza Amini, Théophane Gregoir, Thibaud Rahier
2021	J	`jnl`	A Semi-Supervised Multi-Task Learning Approach for Predicting Short-Term Kidney Disease Evolution. IEEE J. Biomed. Health Informatics Michele Bernardini, Luca Romeo, Emanuele Frontoni, Massih-Reza Amini
2021	J	`jnl`	Bilingual Topic Models for Comparable Corpora. CoRR Georgios Balikas, Massih-Reza Amini, Marianne Clausel
2021	J	`jnl`	Distributed Learning with Sparse Communications by Identification. SIAM J. Math. Data Sci. Dmitry Grishchenko, Franck Iutzeler, Jérôme Malick, Massih-Reza Amini
2021	J	`jnl`	Learning over No-Preferred and Preferred Sequence of Items for Robust Recommendation. J. Artif. Intell. Res. Aleksandra Burashnikova, Yury Maximov, Marianne Clausel, Charlotte Laclau, Franck Iutzeler, Massih-Reza Amini
2021	J	`jnl`	Multi-class Probabilistic Bounds for Self-learning. CoRR Vasilii Feofanov, Emilie Devijver, Massih-Reza Amini
2021	J	`jnl`	Recommender systems: when memory matters. CoRR Aleksandra Burashnikova, Marianne Clausel, Massih-Reza Amini, Yury Maximov, Nicolas Dante
2021	J	`jnl`	Self-Learning for Received Signal Strength Map Reconstruction with Neural Architecture Search. CoRR Aleksandra Malkova, Loïc Pauletto, Christophe Villien, Benoît Denis, Massih-Reza Amini
2021	J	`jnl`	Self-Training of Halfspaces with Generalization Guarantees under Massart Mislabeling Noise Model. CoRR Lies Hadjadj, Massih-Reza Amini, Sana Louhichi, Alexis Deschamps
2021	—	`conf`	Self-learning for Received Signal Strength Map Reconstruction with Neural Architecture Search. ICANN (5) Aleksandra Malkova, Loïc Pauletto, Christophe Villien, Benoît Denis, Massih-Reza Amini
2021	A*	`conf`	Uplift Modeling with Generalization Guarantees. KDD Artem Betlei, Eustache Diemert, Massih-Reza Amini
2021	J	`jnl`	User preference and embedding learning with implicit feedback for recommender systems. Data Min. Knowl. Discov. Sumit Sidana, Mikhail Trofimov, Oleh Horodnytskyi, Charlotte Laclau, Yury Maximov, Massih-Reza Amini
2020	—	`conf`	Biconditional Generative Adversarial Networks for Multiview Learning with Missing Views. ECIR (1) Anastasiia Doinychko, Massih-Reza Amini
2020	J	`jnl`	Learning over no-Preferred and Preferred Sequence of items for Robust Recommendation. CoRR Aleksandra Burashnikova, Marianne Clausel, Charlotte Laclau, Frack Iutzeller, Yury Maximov, Massih-Reza Amini
2020	—	`book`	Machine Learning, 2nd Ed. Massih-Reza Amini
2020	—	`conf`	Neural Architecture Search for Extreme Multi-label Text Classification. ICONIP (3) Loïc Pauletto, Massih-Reza Amini, Rohit Babbar, Nicolas Winckler
2020	—	`conf`	Reducing Regression Test Suites using the Word2Vec Natural Language Processing Tool. SEED/NLPaSE@APSEC Bahareh Afshinpour, Roland Groz, Massih-Reza Amini, Yves Ledru, Catherine Oriat
2020	—	`conf`	Sparse Asynchronous Distributed Learning. ICONIP (5) Dmitry Grischenko, Franck Iutzeler, Massih-Reza Amini
2020	J	`jnl`	Treatment Targeting by AUUC Maximization with Generalization Guarantees. CoRR Artem Betlei, Eustache Diemert, Massih-Reza Amini
2019	J	`jnl`	Biconditional Generative Adversarial Networks for Multiview Learning with Missing Views. CoRR Anastasiia Doinychko, Massih-Reza Amini
2019	—	`conf`	Learning Lexical-Semantic Relations Using Intuitive Cognitive Links. ECIR (1) Georgios Balikas, Gaël Dias, Rumen Moraliyski, Houssam Akhmouch, Massih-Reza Amini
2019	J	`jnl`	Multiview Boosting by Controlling the Diversity and the Accuracy of View-specific Voters. Neurocomputing Anil Goyal, Emilie Morvant, Pascal Germain, Massih-Reza Amini
2019	J	`jnl`	Quels corpus d'entraînement pour l'expansion de requêtes par plongement de mots : application à la recherche de microblogs culturels. CoRR Philippe Mulhem, Lorraine Goeuriot, Massih-Reza Amini, Nayanika Dogra
2019	J	`jnl`	Semi-supervised Wrapper Feature Selection with Imperfect Labels. CoRR Vasilii Feofanov, Massih-Reza Amini, Emilie Devijver
2019	—	`conf`	Sequential Learning over Implicit Feedback for Robust Large-Scale Recommender Systems. ECML/PKDD (3) Aleksandra Burashnikova, Yury Maximov, Massih-Reza Amini
2019	J	`jnl`	Sequential Learning over Implicit Feedback for Robust Large-Scale Recommender Systems. CoRR Alexandra Burashnikova, Yury Maximov, Massih-Reza Amini
2019	A*	`conf`	Transductive Bounds for the Multi-Class Majority Vote Classifier. AAAI Vasilii Feofanov, Emilie Devijver, Massih-Reza Amini
2018	A*	`conf`	A Delay-tolerant Proximal-Gradient Algorithm for Distributed Learning. ICML Konstantin Mishchenko, Franck Iutzeler, Jérôme Malick, Massih-Reza Amini
2018	J	`jnl`	Asynchronous Distributed Learning with Sparse Communications and Identification. CoRR Dmitry Grishchenko, Franck Iutzeler, Jérôme Malick, Massih-Reza Amini
2018	J	`jnl`	Concurrent Learning of Semantic Relations. CoRR Georgios Balikas, Gaël Dias, Rumen Moraliyski, Massih-Reza Amini
2018	—	`conf`	Corpus d'entraînement sur les plongements de mots pour la recherche de microblogs culturels. CORIA Nayanika Dogra, Philippe Mulhem, Lorraine Goeuriot, Massih-Reza Amini
2018	A	`conf`	Cross-Lingual Document Retrieval Using Regularized Wasserstein Distance. ECIR Georgios Balikas, Charlotte Laclau, Ievgen Redko, Massih-Reza Amini
2018	J	`jnl`	Cross-lingual Document Retrieval using Regularized Wasserstein Distance. CoRR Georgios Balikas, Charlotte Laclau, Ievgen Redko, Massih-Reza Amini
2018	J	`jnl`	Health Monitoring on Social Media over Time. IEEE Trans. Knowl. Data Eng. Sumit Sidana, Sihem Amer-Yahia, Marianne Clausel, Majdeddine Rebai, Son T. Mai, Massih-Reza Amini
2018	—	`conf`	Heterogeneous Dyadic Multi-task Learning with Implicit Feedback. ICONIP (3) Simon Moura, Amir Asarbaev, Massih-Reza Amini, Yury Maximov
2018	J	`jnl`	Large-scale asynchronous distributed learning based on parameter exchanges. Int. J. Data Sci. Anal. Bikash Joshi, Franck Iutzeler, Massih-Reza Amini
2018	A	`conf`	Learning to recommend diverse items over implicit feedback on PANDOR. RecSys Sumit Sidana, Charlotte Laclau, Massih-Reza Amini
2018	—	`conf`	Multi-task Learning for Semantic Relations Discovery. EKAW (Posters & Demos) Georgios Balikas, Gaël Dias, Massih-Reza Amini
2018	J	`jnl`	Multiview Boosting by Controlling the Diversity and the Accuracy of View-specific Voters. CoRR Anil Goyal, Emilie Morvant, Pascal Germain, Massih-Reza Amini
2018	B	`conf`	Multiview Learning of Weighted Majority Vote by Bregman Divergence Minimization. IDA Anil Goyal, Emilie Morvant, Massih-Reza Amini
2018	J	`jnl`	Multiview Learning of Weighted Majority Vote by Bregman Divergence Minimization. CoRR Anil Goyal, Emilie Morvant, Massih-Reza Amini
2018	A*	`conf`	Rademacher Complexity Bounds for a Penalized Multi-class Semi-supervised Algorithm (Extended Abstract). IJCAI Yury Maximov, Massih-Reza Amini, Zaïd Harchaoui
2018	J	`jnl`	Rademacher Complexity Bounds for a Penalized Multi-class Semi-supervised Algorithm. J. Artif. Intell. Res. Yury Maximov, Massih-Reza Amini, Zaïd Harchaoui
2018	J	`jnl`	Rademacher Generalization Bounds for Classifier Chains. CoRR Simon Moura, Massih-Reza Amini, Sana Louhichi, Marianne Clausel
2018	—	`conf`	Uplift Prediction with Dependent Feature Representation in Imbalanced Treatment and Control Conditions. ICONIP (5) Artem Betlei, Eustache Diemert, Massih-Reza Amini
2018	—	`book`	机器学习：理论、实践与提高 Massih-Reza Amini
2017	—	`conf`	Aggressive Sampling for Multi-class to Binary Reduction with Applications to Text Classification. NIPS Bikash Joshi, Massih-Reza Amini, Ioannis Partalas, Franck Iutzeler, Yury Maximov
2017	J	`jnl`	Aggressive Sampling for Multi-class to Binary Reduction with Applications to Text Classification. CoRR Bikash Joshi, Massih-Reza Amini, Ioannis Partalas, Franck Iutzeler, Yury Maximov
2017	J	`jnl`	CAp 2017 challenge: Twitter Named Entity Recognition. CoRR Cédric Lopez, Ioannis Partalas, Georgios Balikas, Nadia Derbas, Amélie Martin, Coralie Reutenauer, Frédérique Segond, Massih-Reza Amini
2017	J	`jnl`	Exploring the space of information retrieval term scoring functions. Inf. Process. Manag. Parantapa Goswami, Éric Gaussier, Massih-Reza Amini
2017	A*	`conf`	KASANDR: A Large-Scale Dataset with Implicit Feedback for Recommendation. SIGIR Sumit Sidana, Charlotte Laclau, Massih-Reza Amini, Gilles Vandelle, André Bois-Crettez
2017	A*	`conf`	Multitask Learning for Fine-Grained Twitter Sentiment Analysis. SIGIR Georgios Balikas, Simon Moura, Massih-Reza Amini
2017	J	`jnl`	Multitask Learning for Fine-Grained Twitter Sentiment Analysis. CoRR Georgios Balikas, Simon Moura, Massih-Reza Amini
2017	J	`jnl`	On the effectiveness of feature set augmentation using clusters of word embeddings. CoRR Georgios Balikas, Ioannis Partalas, Massih-Reza Amini
2017	—	`conf`	PAC-Bayesian Analysis for a Two-Step Hierarchical Multiview Learning Approach. ECML/PKDD (2) Anil Goyal, Emilie Morvant, Pascal Germain, Massih-Reza Amini
2017	J	`jnl`	Representation Learning and Pairwise Ranking for Implicit and Explicit Feedback in Recommendation Systems. CoRR Mikhail Trofimov, Sumit Sidana, Oleh Horodnitskii, Charlotte Laclau, Yury Maximov, Massih-Reza Amini
2017	—	`conf`	Topical Coherence in LDA-based Models through Induced Segmentation. ACL (1) Hesam Amoualian, Wei Lu, Éric Gaussier, Georgios Balikas, Massih-Reza Amini, Marianne Clausel
2016	J	`jnl`	An empirical study on large scale text classification with skip-gram embeddings. CoRR Georgios Balikas, Massih-Reza Amini
2016	A	`conf`	Asynchronous Distributed Matrix Factorization with Similar User and Item Based Regularization. RecSys Bikash Joshi, Franck Iutzeler, Massih-Reza Amini
2016	A*	`conf`	Health Monitoring on Social Media over Time. SIGIR Sumit Sidana, Shashwat Mishra, Sihem Amer-Yahia, Marianne Clausel, Massih-Reza Amini
2016	J	`jnl`	Learning Taxonomy Adaptation in Large-scale Classification. J. Mach. Learn. Res. Rohit Babbar, Ioannis Partalas, Éric Gaussier, Massih-Reza Amini, Cécile Amblard
2016	B	`conf`	Modeling topic dependencies in semantically coherent text spans with copulas. COLING Georgios Balikas, Hesam Amoualian, Marianne Clausel, Éric Gaussier, Massih-Reza Amini
2016	A	`conf`	Multi-label, Multi-class Classification Using Polylingual Embeddings. ECIR Georgios Balikas, Massih-Reza Amini
2016	A*	`conf`	On a Topic Model for Sentences. SIGIR Georgios Balikas, Massih-Reza Amini, Marianne Clausel
2016	J	`jnl`	On a Topic Model for Sentences. CoRR Georgios Balikas, Massih-Reza Amini, Marianne Clausel
2016	J	`jnl`	Rademacher Complexity Bounds for a Penalized Multiclass Semi-Supervised Algorithm. CoRR Yury Maximov, Massih-Reza Amini, Zaïd Harchaoui
2016	A*	`conf`	Streaming-LDA: A Copula-based Approach to Modeling Topic Dependencies in Document Streams. KDD Hesam Amoualian, Marianne Clausel, Éric Gaussier, Massih-Reza Amini
2016	—	`conf`	TwiSE at SemEval-2016 Task 4: Twitter Sentiment Classification. SemEval@NAACL-HLT Georgios Balikas, Massih-Reza Amini
2016	J	`jnl`	TwiSE at SemEval-2016 Task 4: Twitter Sentiment Classification. CoRR Georgios Balikas, Massih-Reza Amini
2015	—	`conf`	Algorithmic Robustness for Semi-Supervised (ε, γ, τ) -Good Metric Learning. ICONIP (1) Maria-Irina Nicolae, Marc Sebban, Amaury Habrard, Éric Gaussier, Massih-Reza Amini
2015	—	`conf`	Algorithmic Robustness for Semi-Supervised (ε, γ, τ)-Good Metric Learning. ICLR (Workshop) Maria-Irina Nicolae, Marc Sebban, Amaury Habrard, Éric Gaussier, Massih-Reza Amini
2015	—	`book`	Apprentissage Machine: de la théorie à la pratique. Massih-Reza Amini
2015	B	`conf`	Efficient Model Selection for Regularized Classification by Exploiting Unlabeled Data. IDA Georgios Balikas, Ioannis Partalas, Éric Gaussier, Rohit Babbar, Massih-Reza Amini
2015	A*	`conf`	Entropy-Based Concentration Inequalities for Dependent Variables. ICML Liva Ralaivola, Massih-Reza Amini
2015	J	`jnl`	LSHTC: A Benchmark for Large-Scale Text Classification. CoRR Ioannis Partalas, Aris Kosmopoulos, Nicolas Baskiotis, Thierry Artières, George Paliouras, Éric Gaussier, Ion Androutsopoulos, Massih-Reza Amini, Patrick Gallinari
2015	Misc	`conf`	Language-independent Query Representation for IR Model Parameter Estimation on Unlabeled Collections. ICTIR Parantapa Goswami, Massih-Reza Amini, Éric Gaussier
2015	—	`book`	Learning with Partially Labeled and Interdependent Data Massih-Reza Amini, Nicolas Usunier
2015	J	`jnl`	Multiview self-learning. Neurocomputing Ali Fakeri-Tabrizi, Massih-Reza Amini, Cyril Goutte, Nicolas Usunier
2015	B	`conf`	On Binary Reduction of Large-Scale Multiclass Classification Problems. IDA Bikash Joshi, Massih-Reza Amini, Ioannis Partalas, Liva Ralaivola, Nicolas Usunier, Éric Gaussier
2015	Misc	`conf`	Study of Heuristic IR Constraints Under Function Discovery Framework. ICTIR Parantapa Goswami, Massih-Reza Amini, Éric Gaussier
2015	—	`conf`	Supervised Topic Classification for Modeling a Hierarchical Conference Structure. ICONIP (1) Mikhail P. Kuznetsov, Marianne Clausel, Massih-Reza Amini, Éric Gaussier, Vadim V. Strijov
2015	—	`conf`	À la recherche des paramètres des modèles de RI. CORIA Parantapa Goswami, Massih-Reza Amini, Éric Gaussier
2014	A	`conf`	Exploring the Space of IR Functions. ECIR Parantapa Goswami, Simon Moura, Éric Gaussier, Massih-Reza Amini, Francis Maes
2014	J	`jnl`	On power law distributions in large-scale taxonomies. SIGKDD Explor. Rohit Babbar, Cornelia Metzig, Ioannis Partalas, Éric Gaussier, Massih-Reza Amini
2014	A*	`conf`	Re-ranking approach to classification in large-scale power-law distributed category systems. SIGIR Rohit Babbar, Ioannis Partalas, Éric Gaussier, Massih-Reza Amini
2014	A	`conf`	Web-scale classification: web classification in the big data era. WSDM Ioannis Partalas, Massih-Reza Amini, Ion Androutsopoulos, Thierry Artières, Patrick Gallinari, Éric Gaussier, Georgios Paliouras
2013	—	`conf`	Comparative Classifier Evaluation for Web-Scale Taxonomies Using Power Law. ESWC (Satellite Events) Rohit Babbar, Ioannis Partalas, Cornelia Metzig, Éric Gaussier, Massih-Reza Amini
2013	—	`conf`	Maximum-Margin Framework for Training Data Synchronization in Large-Scale Hierarchical Classification. ICONIP (1) Rohit Babbar, Ioannis Partalas, Éric Gaussier, Massih-Reza Amini
2013	A*	`conf`	Multiview semi-supervised ranking for automatic image annotation. ACM Multimedia Ali Fakeri-Tabrizi, Massih-Reza Amini, Patrick Gallinari
2013	—	`conf`	On Flat versus Hierarchical Classification in Large-Scale Taxonomies. NIPS Rohit Babbar, Ioannis Partalas, Éric Gaussier, Massih-Reza Amini
2013	—	`book`	Recherche d'Information - applications, modèles et algorithmes. Massih-Reza Amini, Éric Gaussier
2013	A	`conf`	Transferring knowledge with source selection to learn IR functions on unlabeled collections. CIKM Parantapa Goswami, Massih-Reza Amini, Éric Gaussier
2012	A*	`conf`	Fast on-line learning for multilingual categorization. SIGIR Michelle Kovesi, Cyril Goutte, Massih-Reza Amini
2012	—	`ch.`	Learnable Ranking Models for Automatic Text Summarization and Information Retrieval. Textual Information Access: Statistical Models Massih-Reza Amini, David Buffoni, Patrick Gallinari, Tuong-Vinh Truong, Nicolas Usunier
2012	J	`jnl`	On using a quantum physics formalism for multidocument summarization. J. Assoc. Inf. Sci. Technol. Benjamin Piwowarski, Massih-Reza Amini, Mounia Lalmas
2011	J	`jnl`	Learning aspect models with partially labeled data. Pattern Recognit. Lett. Anastasia Krithara, Massih-Reza Amini, Cyril Goutte, Jean-Michel Renders
2011	—	`conf`	Multiview Semi-supervised Learning for Ranking Multilingual Documents. ECML/PKDD (3) Nicolas Usunier, Massih-Reza Amini, Cyril Goutte
2011	A*	`conf`	Transductive learning over automatically detected themes for multi-document summarization. SIGIR Massih-Reza Amini, Nicolas Usunier
2010	J	`jnl`	A co-classification approach to learning from multilingual corpora. Mach. Learn. Massih-Reza Amini, Cyril Goutte
2010	—	`conf`	An Extension of the Aspect PLSA Model to Active and Semi-Supervised Learning for Text Classification. SETN Anastasia Krithara, Massih-Reza Amini, Cyril Goutte, Jean-Michel Renders
2010	J	`jnl`	Apprentissage d'un espace de concepts de mots pour une nouvelle représentation des données textuelles. Document Numérique Young-Min Kim, Jean-François Pessiot, Massih-Reza Amini, Patrick Gallinari
2010	A*	`conf`	Combining coregularization and consensus-based self-training for multilingual text categorization. SIGIR Massih-Reza Amini, Cyril Goutte, Nicolas Usunier
2010	J	`jnl`	Exploitation du contenu visuel pour améliorer la recherche textuelle d'images en ligne. Document Numérique Sabrina Tollari, Marcin Detyniecki, Ali Fakeri-Tabrizi, Christophe Marsala, Massih-Reza Amini, Patrick Gallinari
2010	J	`jnl`	Improving document clustering in a learned concept space. Inf. Process. Manag. Jean-François Pessiot, Young-Min Kim, Massih-Reza Amini, Patrick Gallinari
2010	A*	`conf`	Multi-view clustering of multilingual documents. SIGIR Young-Min Kim, Massih-Reza Amini, Cyril Goutte, Patrick Gallinari
2010	—	`conf`	UPMC/LIP6 at ImageCLEFannotation 2010. CLEF (Notebook Papers/LABs/Workshops) Ali Fakeri-Tabrizi, Sabrina Tollari, Nicolas Usunier, Massih-Reza Amini, Patrick Gallinari
2009	B	`conf`	A self-training method for learning to rank with unlabeled data. ESANN Tuong-Vinh Truong, Massih-Reza Amini, Patrick Gallinari
2009	A	`conf`	Exploiting Visual Concepts to Improve Text-Based Image Retrieval. ECIR Sabrina Tollari, Marcin Detyniecki, Christophe Marsala, Ali Fakeri-Tabrizi, Massih-Reza Amini, Patrick Gallinari
2009	A*	`conf`	Incorporating prior knowledge into a transductive ranking algorithm for multi-document summarization. SIGIR Massih-Reza Amini, Nicolas Usunier
2009	—	`conf`	Learning from Multiple Partially Observed Views - an Application to Multilingual Text Categorization. NIPS Massih-Reza Amini, Nicolas Usunier, Cyril Goutte
2009	—	`conf`	Utilisation de concepts visuels et de la diversité visuelle pour améliorer la recherche d'images. CORIA Sabrina Tollari, Marcin Detyniecki, Ali Fakeri-Tabrizi, Christophe Marsala, Massih-Reza Amini, Patrick Gallinari
2008	—	`conf`	A Transductive Bound for the Voted Classifier with an Application to Semi-supervised Learning. NIPS Massih-Reza Amini, François Laviolette, Nicolas Usunier
2008	A*	`conf`	A boosting algorithm for learning bipartite ranking functions with partially labeled data. SIGIR Massih-Reza Amini, Tuong-Vinh Truong, Cyril Goutte
2008	A	`conf`	An extension of PLSA for document clustering. CIKM Young-Min Kim, Jean-François Pessiot, Massih-Reza Amini, Patrick Gallinari
2008	—	`conf`	Apprentissage d'un espace de concepts de mots pour une nouvelle représentation des données textuelles. CORIA Young-Min Kim, Jean-François Pessiot, Massih-Reza Amini, Patrick Gallinari
2008	—	`conf`	Consortium AVEIR at ImageCLEFphoto 2008: on the Fusion of Runs. CLEF (Working Notes) Sabrina Tollari, Marcin Detyniecki, Marin Ferecatu, Hervé Glotin, Philippe Mulhem, Massih-Reza Amini, Ali Fakeri-Tabrizi, Patrick Gallinari, Hichem Sahbi, Zhong-Qiu Zhao
2008	A	`conf`	Semi-supervised Document Classification with a Mislabeling Error Model. ECIR Anastasia Krithara, Massih-Reza Amini, Jean-Michel Renders, Cyril Goutte
2008	—	`conf`	UPMC/LIP6 at ImageCLEF's WikipediaMM: An Image-Annotation Model for an Image Search-Engine. CLEF (Working Notes) Ali Fakeri-Tabrizi, Massih-Reza Amini, Sabrina Tollari, Patrick Gallinari
2008	—	`conf`	UPMC/LIP6 at ImageCLEFphoto 2008: on the Exploitation of Visual Concepts (VCDT). CLEF (Working Notes) Sabrina Tollari, Marcin Detyniecki, Ali Fakeri-Tabrizi, Massih-Reza Amini, Patrick Gallinari
2008	—	`conf`	Une méthode contextuelle d'extension de requête avec des groupements de mots pour le résumé automatique. CORIA Jean-François Pessiot, Young-Min Kim, Massih-Reza Amini, Nicolas Usunier, Patrick Gallinari
2008	—	`conf`	Using Visual Concepts and Fast Visual Diversity to Improve Image Retrieval. CLEF Sabrina Tollari, Marcin Detyniecki, Ali Fakeri-Tabrizi, Christophe Marsala, Massih-Reza Amini, Patrick Gallinari
2007	—	`book`	Apprentissage de Fonctions de Classification et d'Ordonnacement avec des Données Partiellement Etiquetées. Massih-Reza Amini
2007	—	`conf`	Apprentissage semi-supervisé de fonctions d'ordonnancement. EGC Tuong-Vinh Truong, Massih-Reza Amini
2007	—	`conf`	Filtrage Collaboratif avec un Algorithme d'Ordonnancement. CORIA Jean-François Pessiot, Tuong-Vinh Truong, Nicolas Usunier, Massih-Reza Amini, Patrick Gallinari
2007	—	`conf`	Learning to Rank for Collaborative Filtering. ICEIS (2) Jean-François Pessiot, Tuong-Vinh Truong, Nicolas Usunier, Massih-Reza Amini, Patrick Gallinari
2007	J	`jnl`	Learning-based summarisation of XML documents. Inf. Retr. Massih-Reza Amini, Anastasios Tombros, Nicolas Usunier, Mounia Lalmas
2007	—	`conf`	UHigh-Level Feature Detection with Forests of Fuzzy Decision Trees combined with the RankBoost Algorithm. TRECVID Christophe Marsala, Marcin Detyniecki, Nicolas Usunier, Massih-Reza Amini
2006	—	`conf`	A Selective Sampling Strategy for Label Ranking. ECML Massih-Reza Amini, Nicolas Usunier, François Laviolette, Alexandre Lacasse, Patrick Gallinari
2006	—	`conf`	Factorisation en matrices non négatives pour le filtrage collaboratif. CORIA Jean-François Pessiot, Tuong-Vinh Truong, Nicolas Usunier, Massih-Reza Amini, Patrick Gallinari
2006	J	`jnl`	Résumé automatique de texte avec un algorithme d'ordonnancement. Ingénierie des Systèmes d Inf. Nicolas Usunier, Massih-Reza Amini, Patrick Gallinari
2005	A	`conf`	Automatic Text Summarization Based on Word-Clusters and Ranking Algorithms. ECIR Massih-Reza Amini, Nicolas Usunier, Patrick Gallinari
2005	—	`conf`	Combinaison de fonctions de préférence par boosting pour la recherche de passages dans les systèmes de question/réponse. EGC Nicolas Usunier, Massih-Reza Amini, Patrick Gallinari
2005	—	`conf`	Generalization error bounds for classifiers trained with interdependent data. NIPS Nicolas Usunier, Massih-Reza Amini, Patrick Gallinari
2005	A	`conf`	Learning to summarise XML documents using content and structure. CIKM Massih-Reza Amini, Anastasios Tombros, Nicolas Usunier, Mounia Lalmas, Patrick Gallinari
2005	—	`conf`	Résumé automatique de texte avec un algorithme d'ordonnancement. CORIA Nicolas Usunier, Massih-Reza Amini, Patrick Gallinari
2005	J	`jnl`	Semi-supervised learning with an imperfect supervisor. Knowl. Inf. Syst. Massih-Reza Amini, Patrick Gallinari
2004	—	`conf`	Apprentissage non-supervisé pour la segmentation automatique de textes. CORIA Jean-François Pessiot, Marc Caillet, Massih-Reza Amini, Patrick Gallinari
2004	—	`conf`	Unsupervised Learning with Term Clustering for Thematic Segmentation of Texts. RIAO Marc Caillet, Jean-François Pessiot, Massih-Reza Amini, Patrick Gallinari
2003	A*	`conf`	Semi-Supervised Learning with Explicit Misclassification Modeling. IJCAI Massih-Reza Amini, Patrick Gallinari
2002	—	`conf`	Learning Classification with Both Labeled and Unlabeled Data. ECML Jean-Noël Vittaut, Massih-Reza Amini, Patrick Gallinari
2002	A	`conf`	Semi Supervised Logistic Regression. ECAI Massih-Reza Amini, Patrick Gallinari
2002	A*	`conf`	The use of unlabeled data to improve supervised learning for text summarization. SIGIR Massih-Reza Amini, Patrick Gallinari
2001	—	`conf`	Automatic Text Summarization Using Unsupervised and Semi-supervised Learning. PKDD Massih-Reza Amini, Patrick Gallinari
2001	C	`conf`	Learning for Text Summarization Using Labeled and Unlabeled Sentences. ICANN Massih-Reza Amini, Patrick Gallinari
2000	—	`conf`	Learning for Sequence Extraction Tasks. RIAO Massih-Reza Amini, Hugo Zaragoza, Patrick Gallinari
1999	—	`conf`	Sequence Models for Automatic Highlighting and Surface Information Extraction. BCS-IRSG Annual Colloquium on IR Research Massih-Reza Amini, Hugo Zaragoza, Patrick Gallinari