Sequence Models for Automatic Highlighting and Surface Information Extraction. - Massih-Reza Amini; Hugo Zaragoza; Patrick Gallinari (BCS-IRSG Annual Colloquium on IR Research, 1999)

Learning for Sequence Extraction Tasks. - Massih-Reza Amini; Hugo Zaragoza; Patrick Gallinari (RIAO, 2000)

Learning for Text Summarization Using Labeled and Unlabeled Sentences. - Massih-Reza Amini; Patrick Gallinari (ICANN, 2001)

Automatic Text Summarization Using Unsupervised and Semi-supervised Learning. - Massih-Reza Amini; Patrick Gallinari (PKDD, 2001)

Semi Supervised Logistic Regression. - Massih-Reza Amini; Patrick Gallinari (ECAI, 2002)

Learning Classification with Both Labeled and Unlabeled Data. - Jean-Noël Vittaut; Massih-Reza Amini; Patrick Gallinari (ECML, 2002)

The use of unlabeled data to improve supervised learning for text summarization. - Massih-Reza Amini; Patrick Gallinari (SIGIR, 2002)

Semi-Supervised Learning with Explicit Misclassification Modeling. - Massih-Reza Amini; Patrick Gallinari (IJCAI, 2003)

Apprentissage non-supervisé pour la segmentation automatique de textes. - Jean-François Pessiot; Marc Caillet; Massih-Reza Amini; Patrick Gallinari (CORIA, 2004)

Unsupervised Learning with Term Clustering for Thematic Segmentation of Texts. - Marc Caillet; Jean-François Pessiot; Massih-Reza Amini; Patrick Gallinari (RIAO, 2004)

Learning to summarise XML documents using content and structure. - Massih-Reza Amini; Anastasios Tombros; Nicolas Usunier; Mounia Lalmas; Patrick Gallinari (CIKM, 2005)

Automatic Text Summarization Based on Word-Clusters and Ranking Algorithms. - Massih-Reza Amini; Nicolas Usunier; Patrick Gallinari (ECIR, 2005)

Combinaison de fonctions de préférence par boosting pour la recherche de passages dans les systèmes de question/réponse. - Nicolas Usunier; Massih-Reza Amini; Patrick Gallinari (EGC, 2005)

Generalization error bounds for classifiers trained with interdependent data. - Nicolas Usunier; Massih-Reza Amini; Patrick Gallinari (NIPS, 2005)

Semi-supervised learning with an imperfect supervisor. - Massih-Reza Amini; Patrick Gallinari (Knowl. Inf. Syst., 2005)

Factorisation en matrices non négatives pour le filtrage collaboratif. - Jean-François Pessiot; Tuong-Vinh Truong; Nicolas Usunier; Massih-Reza Amini; Patrick Gallinari (CORIA, 2006)

A Selective Sampling Strategy for Label Ranking. - Massih-Reza Amini; Nicolas Usunier; François Laviolette; Alexandre Lacasse; Patrick Gallinari (ECML, 2006)

Résumé automatique de texte avec un algorithme d'ordonnancement. - Nicolas Usunier; Massih-Reza Amini; Patrick Gallinari (Ingénierie des Systèmes d Inf., 2006)

Apprentissage de Fonctions de Classification et d'Ordonnacement avec des Données Partiellement Etiquetées. - Massih-Reza Amini (2007)

Filtrage Collaboratif avec un Algorithme d'Ordonnancement. - Jean-François Pessiot; Tuong-Vinh Truong; Nicolas Usunier; Massih-Reza Amini; Patrick Gallinari (CORIA, 2007)

Apprentissage semi-supervisé de fonctions d'ordonnancement. - Tuong-Vinh Truong; Massih-Reza Amini (EGC, 2007)

Learning to Rank for Collaborative Filtering. - Jean-François Pessiot; Tuong-Vinh Truong; Nicolas Usunier; Massih-Reza Amini; Patrick Gallinari (ICEIS (2), 2007)

UHigh-Level Feature Detection with Forests of Fuzzy Decision Trees combined with the RankBoost Algorithm. - Christophe Marsala; Marcin Detyniecki; Nicolas Usunier; Massih-Reza Amini (TRECVID, 2007)

Learning-based summarisation of XML documents. - Massih-Reza Amini; Anastasios Tombros; Nicolas Usunier; Mounia Lalmas (Inf. Retr., 2007)

An extension of PLSA for document clustering. - Young-Min Kim; Jean-François Pessiot; Massih-Reza Amini; Patrick Gallinari (CIKM, 2008)

UPMC/LIP6 at ImageCLEF's WikipediaMM: An Image-Annotation Model for an Image Search-Engine. - Ali Fakeri-Tabrizi; Massih-Reza Amini; Sabrina Tollari; Patrick Gallinari (CLEF (Working Notes), 2008)

UPMC/LIP6 at ImageCLEFphoto 2008: on the Exploitation of Visual Concepts (VCDT). - Sabrina Tollari; Marcin Detyniecki; Ali Fakeri-Tabrizi; Massih-Reza Amini; Patrick Gallinari (CLEF (Working Notes), 2008)

Consortium AVEIR at ImageCLEFphoto 2008: on the Fusion of Runs. - Sabrina Tollari; Marcin Detyniecki; Marin Ferecatu; Hervé Glotin; Philippe Mulhem; Massih-Reza Amini; Ali Fakeri-Tabrizi; Patrick Gallinari; Hichem Sahbi; Zhong-Qiu Zhao (CLEF (Working Notes), 2008)

Using Visual Concepts and Fast Visual Diversity to Improve Image Retrieval. - Sabrina Tollari; Marcin Detyniecki; Ali Fakeri-Tabrizi; Christophe Marsala; Massih-Reza Amini; Patrick Gallinari (CLEF, 2008)

Une méthode contextuelle d'extension de requête avec des groupements de mots pour le résumé automatique. - Jean-François Pessiot; Young-Min Kim; Massih-Reza Amini; Nicolas Usunier; Patrick Gallinari (CORIA, 2008)

Semi-supervised Document Classification with a Mislabeling Error Model. - Anastasia Krithara; Massih-Reza Amini; Jean-Michel Renders; Cyril Goutte (ECIR, 2008)

A Transductive Bound for the Voted Classifier with an Application to Semi-supervised Learning. - Massih-Reza Amini; François Laviolette; Nicolas Usunier (NIPS, 2008)

A boosting algorithm for learning bipartite ranking functions with partially labeled data. - Massih-Reza Amini; Tuong-Vinh Truong; Cyril Goutte (SIGIR, 2008)

Utilisation de concepts visuels et de la diversité visuelle pour améliorer la recherche d'images. - Sabrina Tollari; Marcin Detyniecki; Ali Fakeri-Tabrizi; Christophe Marsala; Massih-Reza Amini; Patrick Gallinari (CORIA, 2009)

Exploiting Visual Concepts to Improve Text-Based Image Retrieval. - Sabrina Tollari; Marcin Detyniecki; Christophe Marsala; Ali Fakeri-Tabrizi; Massih-Reza Amini; Patrick Gallinari (ECIR, 2009)

A self-training method for learning to rank with unlabeled data. - Tuong-Vinh Truong; Massih-Reza Amini; Patrick Gallinari (ESANN, 2009)

Learning from Multiple Partially Observed Views - an Application to Multilingual Text Categorization. - Massih-Reza Amini; Nicolas Usunier; Cyril Goutte (NIPS, 2009)

Incorporating prior knowledge into a transductive ranking algorithm for multi-document summarization. - Massih-Reza Amini; Nicolas Usunier (SIGIR, 2009)

UPMC/LIP6 at ImageCLEFannotation 2010. - Ali Fakeri-Tabrizi; Sabrina Tollari; Nicolas Usunier; Massih-Reza Amini; Patrick Gallinari (CLEF (Notebook Papers/LABs/Workshops), 2010)

An Extension of the Aspect PLSA Model to Active and Semi-Supervised Learning for Text Classification. - Anastasia Krithara; Massih-Reza Amini; Cyril Goutte; Jean-Michel Renders (SETN, 2010)

Combining coregularization and consensus-based self-training for multilingual text categorization. - Massih-Reza Amini; Cyril Goutte; Nicolas Usunier (SIGIR, 2010)

Multi-view clustering of multilingual documents. - Young-Min Kim; Massih-Reza Amini; Cyril Goutte; Patrick Gallinari (SIGIR, 2010)

Apprentissage d'un espace de concepts de mots pour une nouvelle représentation des données textuelles. - Young-Min Kim; Jean-François Pessiot; Massih-Reza Amini; Patrick Gallinari (Document Numérique, 2010)

Exploitation du contenu visuel pour améliorer la recherche textuelle d'images en ligne. - Sabrina Tollari; Marcin Detyniecki; Ali Fakeri-Tabrizi; Christophe Marsala; Massih-Reza Amini; Patrick Gallinari (Document Numérique, 2010)

Improving document clustering in a learned concept space. - Jean-François Pessiot; Young-Min Kim; Massih-Reza Amini; Patrick Gallinari (Inf. Process. Manag., 2010)

A co-classification approach to learning from multilingual corpora. - Massih-Reza Amini; Cyril Goutte (Mach. Learn., 2010)

Multiview Semi-supervised Learning for Ranking Multilingual Documents. - Nicolas Usunier; Massih-Reza Amini; Cyril Goutte (ECML/PKDD (3), 2011)

Transductive learning over automatically detected themes for multi-document summarization. - Massih-Reza Amini; Nicolas Usunier (SIGIR, 2011)

Learning aspect models with partially labeled data. - Anastasia Krithara; Massih-Reza Amini; Cyril Goutte; Jean-Michel Renders (Pattern Recognit. Lett., 2011)

Learnable Ranking Models for Automatic Text Summarization and Information Retrieval. - Massih-Reza Amini; David Buffoni; Patrick Gallinari; Tuong-Vinh Truong; Nicolas Usunier (Textual Information Access: Statistical Models, 2012)

Fast on-line learning for multilingual categorization. - Michelle Kovesi; Cyril Goutte; Massih-Reza Amini (SIGIR, 2012)

On using a quantum physics formalism for multidocument summarization. - Benjamin Piwowarski; Massih-Reza Amini; Mounia Lalmas (J. Assoc. Inf. Sci. Technol., 2012)

Recherche d'Information - applications, modèles et algorithmes. - Massih-Reza Amini; Éric Gaussier (Eyrolles, 2013)

Transferring knowledge with source selection to learn IR functions on unlabeled collections. - Parantapa Goswami; Massih-Reza Amini; Éric Gaussier (CIKM, 2013)

Comparative Classifier Evaluation for Web-Scale Taxonomies Using Power Law. - Rohit Babbar; Ioannis Partalas; Cornelia Metzig; Éric Gaussier; Massih-Reza Amini (ESWC (Satellite Events), 2013)

Maximum-Margin Framework for Training Data Synchronization in Large-Scale Hierarchical Classification. - Rohit Babbar; Ioannis Partalas; Éric Gaussier; Massih-Reza Amini (ICONIP (1), 2013)

Multiview semi-supervised ranking for automatic image annotation. - Ali Fakeri-Tabrizi; Massih-Reza Amini; Patrick Gallinari (ACM Multimedia, 2013)

On Flat versus Hierarchical Classification in Large-Scale Taxonomies. - Rohit Babbar; Ioannis Partalas; Éric Gaussier; Massih-Reza Amini (NIPS, 2013)

Reuters RCV1 RCV2 Multilingual, Multiview Text Categorization Test collection. - Massih-Reza Amini; Cyril Goutte (UCI Machine Learning Repository, 2013)

Exploring the Space of IR Functions. - Parantapa Goswami; Simon Moura; Éric Gaussier; Massih-Reza Amini; Francis Maes (ECIR, 2014)

Re-ranking approach to classification in large-scale power-law distributed category systems. - Rohit Babbar; Ioannis Partalas; Éric Gaussier; Massih-Reza Amini (SIGIR, 2014)

Web-scale classification: web classification in the big data era. - Ioannis Partalas; Massih-Reza Amini; Ion Androutsopoulos; Thierry Artières; Patrick Gallinari; Éric Gaussier; Georgios Paliouras (WSDM, 2014)

On power law distributions in large-scale taxonomies. - Rohit Babbar; Cornelia Metzig; Ioannis Partalas; Éric Gaussier; Massih-Reza Amini (SIGKDD Explor., 2014)

Apprentissage Machine: de la théorie à la pratique. - Massih-Reza Amini (Eyrolles, 2015)

Learning with Partially Labeled and Interdependent Data - Massih-Reza Amini; Nicolas Usunier (Springer, 2015)

À la recherche des paramètres des modèles de RI. - Parantapa Goswami; Massih-Reza Amini; Éric Gaussier (CORIA, 2015)

Entropy-Based Concentration Inequalities for Dependent Variables. - Liva Ralaivola; Massih-Reza Amini (ICML, 2015)

Supervised Topic Classification for Modeling a Hierarchical Conference Structure. - Mikhail P. Kuznetsov; Marianne Clausel; Massih-Reza Amini; Éric Gaussier; Vadim V. Strijov (ICONIP (1), 2015)

Language-independent Query Representation for IR Model Parameter Estimation on Unlabeled Collections. - Parantapa Goswami; Massih-Reza Amini; Éric Gaussier (ICTIR, 2015)

Study of Heuristic IR Constraints Under Function Discovery Framework. - Parantapa Goswami; Massih-Reza Amini; Éric Gaussier (ICTIR, 2015)

Efficient Model Selection for Regularized Classification by Exploiting Unlabeled Data. - Georgios Balikas; Ioannis Partalas; Éric Gaussier; Rohit Babbar; Massih-Reza Amini (IDA, 2015)

On Binary Reduction of Large-Scale Multiclass Classification Problems. - Bikash Joshi; Massih-Reza Amini; Ioannis Partalas; Liva Ralaivola; Nicolas Usunier; Éric Gaussier (IDA, 2015)

Algorithmic Robustness for Semi-Supervised (ε, γ, τ)-Good Metric Learning. - Maria-Irina Nicolae; Marc Sebban; Amaury Habrard; Éric Gaussier; Massih-Reza Amini (ICLR (Workshop), 2015)

LSHTC: A Benchmark for Large-Scale Text Classification. - Ioannis Partalas; Aris Kosmopoulos; Nicolas Baskiotis; Thierry Artières; George Paliouras; Éric Gaussier; Ion Androutsopoulos; Massih-Reza Amini; Patrick Gallinari (CoRR, 2015)

Multiview self-learning. - Ali Fakeri-Tabrizi; Massih-Reza Amini; Cyril Goutte; Nicolas Usunier (Neurocomputing, 2015)

Modeling topic dependencies in semantically coherent text spans with copulas. - Georgios Balikas; Hesam Amoualian; Marianne Clausel; Éric Gaussier; Massih-Reza Amini (COLING, 2016)

Multi-label, Multi-class Classification Using Polylingual Embeddings. - Georgios Balikas; Massih-Reza Amini (ECIR, 2016)

Streaming-LDA: A Copula-based Approach to Modeling Topic Dependencies in Document Streams. - Hesam Amoualian; Marianne Clausel; Éric Gaussier; Massih-Reza Amini (KDD, 2016)

Asynchronous Distributed Matrix Factorization with Similar User and Item Based Regularization. - Bikash Joshi; Franck Iutzeler; Massih-Reza Amini (RecSys, 2016)

TwiSE at SemEval-2016 Task 4: Twitter Sentiment Classification. - Georgios Balikas; Massih-Reza Amini (SemEval@NAACL-HLT, 2016)

On a Topic Model for Sentences. - Georgios Balikas; Massih-Reza Amini; Marianne Clausel (SIGIR, 2016)

Health Monitoring on Social Media over Time. - Sumit Sidana; Shashwat Mishra; Sihem Amer-Yahia; Marianne Clausel; Massih-Reza Amini (SIGIR, 2016)

An empirical study on large scale text classification with skip-gram embeddings. - Georgios Balikas; Massih-Reza Amini (CoRR, 2016)

Rademacher Complexity Bounds for a Penalized Multiclass Semi-Supervised Algorithm. - Yury Maximov; Massih-Reza Amini; Zaïd Harchaoui (CoRR, 2016)

Learning Taxonomy Adaptation in Large-scale Classification. - Rohit Babbar; Ioannis Partalas; Éric Gaussier; Massih-Reza Amini; Cécile Amblard (J. Mach. Learn. Res., 2016)

Topical Coherence in LDA-based Models through Induced Segmentation. - Hesam Amoualian; Wei Lu 011; Éric Gaussier; Georgios Balikas; Massih-Reza Amini; Marianne Clausel (ACL (1), 2017)

Aggressive Sampling for Multi-class to Binary Reduction with Applications to Text Classification. - Bikash Joshi; Massih-Reza Amini; Ioannis Partalas; Franck Iutzeler; Yury Maximov (NIPS, 2017)

PAC-Bayesian Analysis for a Two-Step Hierarchical Multiview Learning Approach. - Anil Goyal; Emilie Morvant; Pascal Germain; Massih-Reza Amini (ECML/PKDD (2), 2017)

Multitask Learning for Fine-Grained Twitter Sentiment Analysis. - Georgios Balikas; Simon Moura; Massih-Reza Amini (SIGIR, 2017)

KASANDR: A Large-Scale Dataset with Implicit Feedback for Recommendation. - Sumit Sidana; Charlotte Laclau; Massih-Reza Amini; Gilles Vandelle; André Bois-Crettez (SIGIR, 2017)

On the effectiveness of feature set augmentation using clusters of word embeddings. - Georgios Balikas; Ioannis Partalas; Massih-Reza Amini (CoRR, 2017)

CAp 2017 challenge: Twitter Named Entity Recognition. - Cédric Lopez; Ioannis Partalas; Georgios Balikas; Nadia Derbas; Amélie Martin; Coralie Reutenauer; Frédérique Segond; Massih-Reza Amini (CoRR, 2017)

Representation Learning and Pairwise Ranking for Implicit and Explicit Feedback in Recommendation Systems. - Mikhail Trofimov; Sumit Sidana; Oleh Horodnitskii; Charlotte Laclau; Yury Maximov; Massih-Reza Amini (CoRR, 2017)

Exploring the space of information retrieval term scoring functions. - Parantapa Goswami; Éric Gaussier; Massih-Reza Amini (Inf. Process. Manag., 2017)

KASANDR. - Sumit Sidana; Charlotte Laclau; Massih-Reza Amini (UCI Machine Learning Repository, 2017)

机器学习：理论、实践与提高 - Massih-Reza Amini (iTuring, 2018)

Corpus d'entraînement sur les plongements de mots pour la recherche de microblogs culturels. - Nayanika Dogra; Philippe Mulhem; Lorraine Goeuriot; Massih-Reza Amini (CORIA, 2018)

Cross-Lingual Document Retrieval Using Regularized Wasserstein Distance. - Georgios Balikas; Charlotte Laclau; Ievgen Redko; Massih-Reza Amini (ECIR, 2018)

Multi-task Learning for Semantic Relations Discovery. - Georgios Balikas; Gaël Dias; Massih-Reza Amini (EKAW (Posters & Demos), 2018)

A Delay-tolerant Proximal-Gradient Algorithm for Distributed Learning. - Konstantin Mishchenko; Franck Iutzeler; Jérôme Malick; Massih-Reza Amini (ICML, 2018)

Uplift Prediction with Dependent Feature Representation in Imbalanced Treatment and Control Conditions. - Artem Betlei; Eustache Diemert; Massih-Reza Amini (ICONIP (5), 2018)

Heterogeneous Dyadic Multi-task Learning with Implicit Feedback. - Simon Moura; Amir Asarbaev; Massih-Reza Amini; Yury Maximov (ICONIP (3), 2018)

Multiview Learning of Weighted Majority Vote by Bregman Divergence Minimization. - Anil Goyal; Emilie Morvant; Massih-Reza Amini (IDA, 2018)

Rademacher Complexity Bounds for a Penalized Multi-class Semi-supervised Algorithm (Extended Abstract). - Yury Maximov; Massih-Reza Amini; Zaïd Harchaoui (IJCAI, 2018)

Learning to recommend diverse items over implicit feedback on PANDOR. - Sumit Sidana; Charlotte Laclau; Massih-Reza Amini (RecSys, 2018)

Concurrent Learning of Semantic Relations. - Georgios Balikas; Gaël Dias; Rumen Moraliyski; Massih-Reza Amini (CoRR, 2018)

Rademacher Generalization Bounds for Classifier Chains. - Simon Moura; Massih-Reza Amini; Sana Louhichi; Marianne Clausel (CoRR, 2018)

Asynchronous Distributed Learning with Sparse Communications and Identification. - Dmitry Grishchenko; Franck Iutzeler; Jérôme Malick; Massih-Reza Amini (CoRR, 2018)

Large-scale asynchronous distributed learning based on parameter exchanges. - Bikash Joshi; Franck Iutzeler; Massih-Reza Amini (Int. J. Data Sci. Anal., 2018)

Rademacher Complexity Bounds for a Penalized Multi-class Semi-supervised Algorithm. - Yury Maximov; Massih-Reza Amini; Zaïd Harchaoui (J. Artif. Intell. Res., 2018)

Health Monitoring on Social Media over Time. - Sumit Sidana; Sihem Amer-Yahia; Marianne Clausel; Majdeddine Rebai; Son T. Mai; Massih-Reza Amini (IEEE Trans. Knowl. Data Eng., 2018)

PANDOR. - Massih-Reza Amini; Charlotte Laclau; Sumit Sidana (UCI Machine Learning Repository, 2018)

Transductive Bounds for the Multi-Class Majority Vote Classifier. - Vasilii Feofanov; Emilie Devijver; Massih-Reza Amini (AAAI, 2019)

Learning Lexical-Semantic Relations Using Intuitive Cognitive Links. - Georgios Balikas; Gaël Dias; Rumen Moraliyski; Houssam Akhmouch; Massih-Reza Amini (ECIR (1), 2019)

Sequential Learning over Implicit Feedback for Robust Large-Scale Recommender Systems. - Aleksandra Burashnikova; Yury Maximov; Massih-Reza Amini (ECML/PKDD (3), 2019)

Semi-supervised Wrapper Feature Selection with Imperfect Labels. - Vasilii Feofanov; Massih-Reza Amini; Emilie Devijver (CoRR, 2019)

Quels corpus d'entraînement pour l'expansion de requêtes par plongement de mots : application à la recherche de microblogs culturels. - Philippe Mulhem; Lorraine Goeuriot; Massih-Reza Amini; Nayanika Dogra (CoRR, 2019)

Multiview Boosting by Controlling the Diversity and the Accuracy of View-specific Voters. - Anil Goyal; Emilie Morvant; Pascal Germain; Massih-Reza Amini (Neurocomputing, 2019)

Machine Learning, 2nd Ed. - Massih-Reza Amini (Eyrolles, 2020)

Reducing Regression Test Suites using the Word2Vec Natural Language Processing Tool. - Bahareh Afshinpour; Roland Groz; Massih-Reza Amini; Yves Ledru; Catherine Oriat (SEED/NLPaSE@APSEC, 2020)

Biconditional Generative Adversarial Networks for Multiview Learning with Missing Views. - Anastasiia Doinychko; Massih-Reza Amini (ECIR (1), 2020)

Sparse Asynchronous Distributed Learning. - Dmitry Grischenko; Franck Iutzeler; Massih-Reza Amini (ICONIP (5), 2020)

Neural Architecture Search for Extreme Multi-label Text Classification. - Loïc Pauletto; Massih-Reza Amini; Rohit Babbar; Nicolas Winckler (ICONIP (3), 2020)

Learning over no-Preferred and Preferred Sequence of items for Robust Recommendation. - Aleksandra Burashnikova; Marianne Clausel; Charlotte Laclau; Frack Iutzeller; Yury Maximov; Massih-Reza Amini (CoRR, 2020)

Treatment Targeting by AUUC Maximization with Generalization Guarantees. - Artem Betlei; Eustache Diemert; Massih-Reza Amini (CoRR, 2020)

Self-learning for Received Signal Strength Map Reconstruction with Neural Architecture Search. - Aleksandra Malkova; Loïc Pauletto; Christophe Villien; Benoît Denis; Massih-Reza Amini (ICANN (5), 2021)

Uplift Modeling with Generalization Guarantees. - Artem Betlei; Eustache Diemert; Massih-Reza Amini (KDD, 2021)

Multi-class Probabilistic Bounds for Self-learning. - Vasilii Feofanov; Emilie Devijver; Massih-Reza Amini (CoRR, 2021)

A Large Scale Benchmark for Individual Treatment Effect Prediction and Uplift Modeling. - Eustache Diemert; Artem Betlei; Christophe Renaudin; Massih-Reza Amini; Théophane Gregoir; Thibaud Rahier (CoRR, 2021)

Self-Training of Halfspaces with Generalization Guarantees under Massart Mislabeling Noise Model. - Lies Hadjadj; Massih-Reza Amini; Sana Louhichi; Alexis Deschamps (CoRR, 2021)

Bilingual Topic Models for Comparable Corpora. - Georgios Balikas; Massih-Reza Amini; Marianne Clausel (CoRR, 2021)

User preference and embedding learning with implicit feedback for recommender systems. - Sumit Sidana; Mikhail Trofimov; Oleh Horodnytskyi; Charlotte Laclau; Yury Maximov; Massih-Reza Amini (Data Min. Knowl. Discov., 2021)

Learning over No-Preferred and Preferred Sequence of Items for Robust Recommendation. - Aleksandra Burashnikova; Yury Maximov; Marianne Clausel; Charlotte Laclau; Franck Iutzeler; Massih-Reza Amini (J. Artif. Intell. Res., 2021)

Distributed Learning with Sparse Communications by Identification. - Dmitry Grishchenko; Franck Iutzeler; Jérôme Malick; Massih-Reza Amini (SIAM J. Math. Data Sci., 2021)

A Semi-Supervised Multi-Task Learning Approach for Predicting Short-Term Kidney Disease Evolution. - Michele Bernardini; Luca Romeo; Emanuele Frontoni; Massih-Reza Amini (IEEE J. Biomed. Health Informatics, 2021)

Recommender Systems: When Memory Matters. - Aleksandra Burashnikova; Marianne Clausel; Massih-Reza Amini; Yury Maximov; Nicolas Dante (ECIR (2), 2022)

Se2NAS: Self-Semi-Supervised architecture optimization for Semantic Segmentation. - Loïc Pauletto; Massih-Reza Amini; Nicolas Winckler (ICPR, 2022)

Correlating Test Events With Monitoring Logs For Test Log Reduction And Anomaly Prediction. - Bahareh Afshinpour; Roland Groz; Massih-Reza Amini (ISSRE Workshops, 2022)

Telemetry-Based Software Failure Prediction by Concept-Space Model Creation. - Bahareh Afshinpour; Roland Groz; Massih-Reza Amini (QRS, 2022)

Wrapper feature selection with partially labeled data. - Vasilii Feofanov; Emilie Devijver; Massih-Reza Amini (Appl. Intell., 2022)

Self Semi Supervised Neural Architecture Search for Semantic Segmentation. - Loïc Pauletto; Massih-Reza Amini; Nicolas Winckler (CoRR, 2022)

Self-Training: A Survey. - Massih-Reza Amini; Vasilii Feofanov; Loïc Pauletto; Emilie Devijver; Yury Maximov (CoRR, 2022)

Learning over No-Preferred and Preferred Sequence of Items for Robust Recommendation (Extended Abstract). - Aleksandra Burashnikova; Yury Maximov; Marianne Clausel; Charlotte Laclau; Franck Iutzeler; Massih-Reza Amini (CoRR, 2022)

Low-Rank Updates of pre-trained Weights for Multi-Task Learning. - Alexandre Audibert; Massih-Reza Amini; Konstantin Usevich; Marianne Clausel (ACL (Findings), 2023)

Generalization Guarantees of Self-Training of Halfspaces under Label Noise Corruption. - Lies Hadjadj; Massih-Reza Amini; Sana Louhichi (IJCAI, 2023)

Deep Learning with Partially Labeled Data for Radio Map Reconstruction. - Aleksandra Malkova; Massih-Reza Amini; Benoît Denis; Christophe Villien (CoRR, 2023)

Pool-Based Active Learning with Proper Topological Regions. - Lies Hadjadj; Emilie Devijver; Rémi Molinier; Massih-Reza Amini (CoRR, 2023)

A novel missing data imputation approach based on clinical conditional Generative Adversarial Networks applied to EHR datasets. - Michele Bernardini; Anastasiia Doinychko; Luca Romeo; Emanuele Frontoni; Massih-Reza Amini (Comput. Biol. Medicine, 2023)

Jargon: A Suite of Language Models and Evaluation Tasks for French Specialized Domains. - Vincent Segonne; Aidan Mannion; Laura Cristina Alonzo Canul; Alexandre Daniel Audibert; Xingyu Liu; Cécile Macaire; Adrien Pupier; Yongxin Zhou 004; Mathilde Aguiar; Felix Herron; Magali Norré; Massih-Reza Amini; et al. (LREC/COLING, 2024)

Efficient Initial Data Selection and Labeling for Multi-Class Classification Using Topological Analysis. - Lies Hadjadj; Emilie Devijver; Rémi Molinier; Massih-Reza Amini (ECAI, 2024)

Exploring Contrastive Learning for Long-Tailed Multi-label Text Classification. - Alexandre Audibert; Aurélien Gauffre; Massih-Reza Amini (ECML/PKDD (7), 2024)

A Unified Contrastive Loss for Self-training. - Aurélien Gauffre; Julien Horvat; Massih-Reza Amini (ECML/PKDD (8), 2024)

Semantic Log Partitioning: Towards Automated Root Cause Analysis. - Bahareh Afshinpour; Massih-Reza Amini; Roland Groz (QRS, 2024)

Jargon : Une suite de modèles de langues et de référentiels d'évaluation pour les domaines spécialisés du français. - Vincent Segonne; Aidan Mannion; Laura Cristina Alonzo Canul; Alexandre Audibert; Xingyu Liu; Cécile Macaire; Adrien Pupier; Yongxin Zhou 004; Mathilde Aguiar; Felix Herron; Magali Norré; Massih-Reza Amini; et al. (TALN (2), 2024)

Classification Tree-based Active Learning: A Wrapper Approach. - Ashna Jose; Emilie Devijver; Massih-Reza Amini; Noël Jakse; Roberta Poloni (CoRR, 2024)

Unified Framework for Neural Network Compression via Decomposition and Optimal Rank Selection. - Ali Aghababaei Harandi; Massih-Reza Amini (CoRR, 2024)

Multi-Label Contrastive Learning : A Comprehensive Study. - Alexandre Audibert; Aurélien Gauffre; Massih-Reza Amini (CoRR, 2024)

Neural architecture search for radio map reconstruction with partially labeled data. - Aleksandra Malkova; Massih-Reza Amini; Benoît Denis; Christophe Villien (Integr. Comput. Aided Eng., 2024)

Multi-class Probabilistic Bounds for Majority Vote Classifiers with Partially Labeled Data. - Vasilii Feofanov; Emilie Devijver; Massih-Reza Amini (J. Mach. Learn. Res., 2024)

Jargon: A Suite of Language Models and Evaluation Tasks for French Specialized Domains: Data. - Vincent Segonne; Aidan Mannion; Laura Cristina Alonzo Canul; Alexandre Audibert; Xingyu Liu; Cécile Macaire; Adrien Pupier; Yongxin Zhou 004; Mathilde Aguiar; Felix Herron; Magali Norré; Massih-Reza Amini; et al. (Zenodo, 2024)

Generalization bounds for learning under graph-dependence: a survey. - Rui-Ray Zhang; Massih-Reza Amini (Mach. Learn., 2024)

Self-training: A survey. - Massih-Reza Amini; Vasilii Feofanov; Loïc Pauletto; Lies Hadjadj; Emilie Devijver; Yury Maximov (Neurocomputing, 2025)