| 2024 | COLING | 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, Ccile Macaire, Adrien Pupier, Yongxin Zhou, Mathilde Aguiar, Felix Herron, Magali Norr, Massih-Reza Amini, Pierrette Bouillon, Iris Eshkol-Taravella, Emmanuelle Esperana-Rodier, Thomas Franois, Lorraine Goeuriot, Jrme Goulian, Mathieu Lafourcade, Benjamin Lecouteux, Franois Portet, Fabien Ringeval, Vincent Vandeghinste, Maximin Coavoux, Marco Dinarelli, Didier Schwab |
| 2024 | ECAI | Efficient Initial Data Selection and Labeling for Multi-Class Classification Using Topological Analysis. | Lies Hadjadj, Emilie Devijver, Rmi Molinier, Massih-Reza Amini |
| 2024 | QRS | Semantic Log Partitioning: Towards Automated Root Cause Analysis. | Bahareh Afshinpour, Massih-Reza Amini, Roland Groz |
| 2023 | ACL | Low-Rank Updates of pre-trained Weights for Multi-Task Learning. | Alexandre Audibert, Massih-Reza Amini, Konstantin Usevich, Marianne Clausel |
| 2023 | IJCAI | Generalization Guarantees of Self-Training of Halfspaces under Label Noise Corruption. | Lies Hadjadj, Massih-Reza Amini, Sana Louhichi |
| 2022 | ECIR | Recommender Systems: When Memory Matters. | Aleksandra Burashnikova, Marianne Clausel, Massih-Reza Amini, Yury Maximov, Nicolas Dante |
| 2022 | ICPR | Se | Loc Pauletto, Massih-Reza Amini, Nicolas Winckler |
| 2022 | ISSRE | Correlating Test Events With Monitoring Logs For Test Log Reduction And Anomaly Prediction. | Bahareh Afshinpour, Roland Groz, Massih-Reza Amini |
| 2022 | QRS | Telemetry-Based Software Failure Prediction by Concept-Space Model Creation. | Bahareh Afshinpour, Roland Groz, Massih-Reza Amini |
| 2021 | ICANN | Self-learning for Received Signal Strength Map Reconstruction with Neural Architecture Search. | Aleksandra Malkova, Loc Pauletto, Christophe Villien, Benot Denis, Massih-Reza Amini |
| 2021 | KDD | Uplift Modeling with Generalization Guarantees. | Artem Betlei, Eustache Diemert, Massih-Reza Amini |
| 2020 | APSEC | Reducing Regression Test Suites using the Word2Vec Natural Language Processing Tool. | Bahareh Afshinpour, Roland Groz, Massih-Reza Amini, Yves Ledru, Catherine Oriat |
| 2020 | ECIR | Biconditional Generative Adversarial Networks for Multiview Learning with Missing Views. | Anastasiia Doinychko, Massih-Reza Amini |
| 2020 | ICONIP | Sparse Asynchronous Distributed Learning. | Dmitry Grischenko, Franck Iutzeler, Massih-Reza Amini |
| 2020 | ICONIP | Neural Architecture Search for Extreme Multi-label Text Classification. | Loc Pauletto, Massih-Reza Amini, Rohit Babbar, Nicolas Winckler |
| 2019 | AAAI | Transductive Bounds for the Multi-Class Majority Vote Classifier. | Vasilii Feofanov, Emilie Devijver, Massih-Reza Amini |
| 2019 | ECIR | Learning Lexical-Semantic Relations Using Intuitive Cognitive Links. | Georgios Balikas, Gal Dias, Rumen Moraliyski, Houssam Akhmouch, Massih-Reza Amini |
| 2018 | ECIR | Cross-Lingual Document Retrieval Using Regularized Wasserstein Distance. | Georgios Balikas, Charlotte Laclau, Ievgen Redko, Massih-Reza Amini |
| 2018 | EKAW | Multi-task Learning for Semantic Relations Discovery. | Georgios Balikas, Gal Dias, Massih-Reza Amini |
| 2018 | ICML | A Delay-tolerant Proximal-Gradient Algorithm for Distributed Learning. | Konstantin Mishchenko, Franck Iutzeler, Jrme Malick, Massih-Reza Amini |
| 2018 | ICONIP | Uplift Prediction with Dependent Feature Representation in Imbalanced Treatment and Control Conditions. | Artem Betlei, Eustache Diemert, Massih-Reza Amini |
| 2018 | ICONIP | Heterogeneous Dyadic Multi-task Learning with Implicit Feedback. | Simon Moura, Amir Asarbaev, Massih-Reza Amini, Yury Maximov |
| 2018 | IJCAI | Rademacher Complexity Bounds for a Penalized Multi-class Semi-supervised Algorithm (Extended Abstract). | Yury Maximov, Massih-Reza Amini, Zad Harchaoui |
| 2018 | IDA | Multiview Learning of Weighted Majority Vote by Bregman Divergence Minimization. | Anil Goyal, Emilie Morvant, Massih-Reza Amini |
| 2018 | RecSys | Learning to recommend diverse items over implicit feedback on PANDOR. | Sumit Sidana, Charlotte Laclau, Massih-Reza Amini |
| 2017 | ACL | Topical Coherence in LDA-based Models through Induced Segmentation. | Hesam Amoualian, Wei Lu, ric Gaussier, Georgios Balikas, Massih-Reza Amini, Marianne Clausel |
| 2017 | SIGIR | Multitask Learning for Fine-Grained Twitter Sentiment Analysis. | Georgios Balikas, Simon Moura, Massih-Reza Amini |
| 2017 | SIGIR | KASANDR: A Large-Scale Dataset with Implicit Feedback for Recommendation. | Sumit Sidana, Charlotte Laclau, Massih-Reza Amini, Gilles Vandelle, Andr Bois-Crettez |
| 2016 | COLING | Modeling topic dependencies in semantically coherent text spans with copulas. | Georgios Balikas, Hesam Amoualian, Marianne Clausel, ric Gaussier, Massih-Reza Amini |
| 2016 | ECIR | Multi-label, Multi-class Classification Using Polylingual Embeddings. | Georgios Balikas, Massih-Reza Amini |
| 2016 | KDD | Streaming-LDA: A Copula-based Approach to Modeling Topic Dependencies in Document Streams. | Hesam Amoualian, Marianne Clausel, ric Gaussier, Massih-Reza Amini |
| 2016 | RecSys | Asynchronous Distributed Matrix Factorization with Similar User and Item Based Regularization. | Bikash Joshi, Franck Iutzeler, Massih-Reza Amini |
| 2016 | SIGIR | On a Topic Model for Sentences. | Georgios Balikas, Massih-Reza Amini, Marianne Clausel |
| 2016 | SIGIR | Health Monitoring on Social Media over Time. | Sumit Sidana, Shashwat Mishra, Sihem Amer-Yahia, Marianne Clausel, Massih-Reza Amini |
| 2015 | ICML | Entropy-Based Concentration Inequalities for Dependent Variables. | Liva Ralaivola, Massih-Reza Amini |
| 2015 | ICONIP | Supervised Topic Classification for Modeling a Hierarchical Conference Structure. | Mikhail P. Kuznetsov, Marianne Clausel, Massih-Reza Amini, ric Gaussier, Vadim V. Strijov |
| 2015 | ICONIP | Algorithmic Robustness for Semi-Supervised (ε, γ, τ) -Good Metric Learning. | Maria-Irina Nicolae, Marc Sebban, Amaury Habrard, ric Gaussier, Massih-Reza Amini |
| 2015 | ICTIR | Language-independent Query Representation for IR Model Parameter Estimation on Unlabeled Collections. | Parantapa Goswami, Massih-Reza Amini, ric Gaussier |
| 2015 | ICTIR | Study of Heuristic IR Constraints Under Function Discovery Framework. | Parantapa Goswami, Massih-Reza Amini, ric Gaussier |
| 2015 | IDA | Efficient Model Selection for Regularized Classification by Exploiting Unlabeled Data. | Georgios Balikas, Ioannis Partalas, ric Gaussier, Rohit Babbar, Massih-Reza Amini |
| 2015 | IDA | On Binary Reduction of Large-Scale Multiclass Classification Problems. | Bikash Joshi, Massih-Reza Amini, Ioannis Partalas, Liva Ralaivola, Nicolas Usunier, ric Gaussier |
| 2014 | ECIR | Exploring the Space of IR Functions. | Parantapa Goswami, Simon Moura, ric Gaussier, Massih-Reza Amini, Francis Maes |
| 2014 | SIGIR | Re-ranking approach to classification in large-scale power-law distributed category systems. | Rohit Babbar, Ioannis Partalas, ric Gaussier, Massih-Reza Amini |
| 2014 | WSDM | Web-scale classification: web classification in the big data era. | Ioannis Partalas, Massih-Reza Amini, Ion Androutsopoulos, Thierry Artires, Patrick Gallinari, ric Gaussier, Georgios Paliouras |
| 2013 | CIKM | Transferring knowledge with source selection to learn IR functions on unlabeled collections. | Parantapa Goswami, Massih-Reza Amini, ric Gaussier |
| 2013 | ICONIP | Maximum-Margin Framework for Training Data Synchronization in Large-Scale Hierarchical Classification. | Rohit Babbar, Ioannis Partalas, ric Gaussier, Massih-Reza Amini |
| 2012 | SIGIR | Fast on-line learning for multilingual categorization. | Michelle Kovesi, Cyril Goutte, Massih-Reza Amini |
| 2011 | SIGIR | Transductive learning over automatically detected themes for multi-document summarization. | Massih-Reza Amini, Nicolas Usunier |
| 2010 | SIGIR | Combining coregularization and consensus-based self-training for multilingual text categorization. | Massih-Reza Amini, Cyril Goutte, Nicolas Usunier |
| 2010 | SIGIR | Multi-view clustering of multilingual documents. | Young-Min Kim, Massih-Reza Amini, Cyril Goutte, Patrick Gallinari |
| 2009 | ECIR | Exploiting Visual Concepts to Improve Text-Based Image Retrieval. | Sabrina Tollari, Marcin Detyniecki, Christophe Marsala, Ali Fakeri-Tabrizi, Massih-Reza Amini, Patrick Gallinari |
| 2009 | ESANN | A self-training method for learning to rank with unlabeled data. | Tuong-Vinh Truong, Massih-Reza Amini, Patrick Gallinari |
| 2009 | SIGIR | Incorporating prior knowledge into a transductive ranking algorithm for multi-document summarization. | Massih-Reza Amini, Nicolas Usunier |
| 2008 | CIKM | An extension of PLSA for document clustering. | Young-Min Kim, Jean-Franois Pessiot, Massih-Reza Amini, Patrick Gallinari |
| 2008 | ECIR | Semi-supervised Document Classification with a Mislabeling Error Model. | Anastasia Krithara, Massih-Reza Amini, Jean-Michel Renders, Cyril Goutte |
| 2008 | SIGIR | A boosting algorithm for learning bipartite ranking functions with partially labeled data. | Massih-Reza Amini, Tuong-Vinh Truong, Cyril Goutte |
| 2005 | CIKM | Learning to summarise XML documents using content and structure. | Massih-Reza Amini, Anastasios Tombros, Nicolas Usunier, Mounia Lalmas, Patrick Gallinari |
| 2005 | ECIR | Automatic Text Summarization Based on Word-Clusters and Ranking Algorithms. | Massih-Reza Amini, Nicolas Usunier, Patrick Gallinari |
| 2003 | IJCAI | Semi-Supervised Learning with Explicit Misclassification Modeling. | Massih-Reza Amini, Patrick Gallinari |
| 2002 | ECAI | Semi Supervised Logistic Regression. | Massih-Reza Amini, Patrick Gallinari |
| 2002 | SIGIR | The use of unlabeled data to improve supervised learning for text summarization. | Massih-Reza Amini, Patrick Gallinari |
| 2001 | ICANN | Learning for Text Summarization Using Labeled and Unlabeled Sentences. | Massih-Reza Amini, Patrick Gallinari |
| 1999 | ECIR | Sequence Models for Automatic Highlighting and Surface Information Extraction. | Massih-Reza Amini, Hugo Zaragoza, Patrick Gallinari |