Massih-Reza Amini

发表

Neural Architecture Search for Extreme Multi-label Text Classification

Loïc Pauletto, Massih-Reza Amini, Rohit Babbar, 2020, ICONIP.

Maximum-Margin Framework for Training Data Synchronization in Large-Scale Hierarchical Classification

Ioannis Partalas, Massih-Reza Amini, Rohit Babbar, 2013, ICONIP.

An extension of PLSA for document clustering

Massih-Reza Amini, Young-Min Kim, Patrick Gallinari, 2008, CIKM '08.

Learning Taxonomy Adaptation in Large-scale Classification

Ioannis Partalas, Massih-Reza Amini, Rohit Babbar, 2016, J. Mach. Learn. Res..

Web-scale classification: web classification in the big data era

Georgios Paliouras, Ioannis Partalas, Massih-Reza Amini, 2014, WSDM.

Learning from Multiple Partially Observed Views - an Application to Multilingual Text Categorization

Massih-Reza Amini, Nicolas Usunier, Cyril Goutte, 2009, NIPS.

Comparative Classifier Evaluation for Web-Scale Taxonomies Using Power Law

Ioannis Partalas, Massih-Reza Amini, Rohit Babbar, 2013, ESWC.

Semi-Supervised Learning

Massih-Reza Amini, Nicolas Usunier, 2015 .

Fast on-line learning for multilingual categorization

Massih-Reza Amini, Cyril Goutte, Michelle Kovesi, 2012, SIGIR '12.

An Extension of the Aspect PLSA Model to Active and Semi-Supervised Learning for Text Classification

Jean-Michel Renders, Massih-Reza Amini, Cyril Goutte, 2010, SETN.

Cross-Lingual Document Retrieval Using Regularized Wasserstein Distance pdf

Georgios Balikas, Massih-Reza Amini, Ievgen Redko, 2018, ECIR.

A Delay-tolerant Proximal-Gradient Algorithm for Distributed Learning

Jérôme Malick, Massih-Reza Amini, Franck Iutzeler, 2018, ICML.

Apprentissage d'un espace de concepts de mots pour une nouvelle représentation des données textuelles

Massih-Reza Amini, Young-Min Kim, Patrick Gallinari, 2010, Document Numérique.

Consortium AVEIR at ImageCLEFphoto 2008: on the Fusion of Runs

Hichem Sahbi, Philippe Mulhem, Massih-Reza Amini, 2008, CLEF.

On Flat versus Hierarchical Classification in Large-Scale Taxonomies

Ioannis Partalas, Massih-Reza Amini, Rohit Babbar, 2013, NIPS.

Learning to recommend diverse items over implicit feedback on PANDOR

Massih-Reza Amini, Charlotte Laclau, Sumit Sidana, 2018, RecSys.

Self supervised learning for automatic text summarization by text span extraction

Massih-Reza Amini, Patrick Gallinari, 2001 .

Asynchronous Distributed Learning with Sparse Communications and Identification pdf

Jérôme Malick, Massih-Reza Amini, Dmitry Grishchenko, 2018, ArXiv.

Sparsification of Linear Models for Large-Scale Text Classification

Ioannis Partalas, Massih-Reza Amini, Simon Moura, 2015 .

Algorithmic Robustness for Semi-Supervised (ε, γ, τ) -Good Metric Learning

Massih-Reza Amini, Marc Sebban, Amaury Habrard, 2015, ICONIP.

Aggressive Sampling for Multi-class to Binary Reduction with Applications to Text Classification

Bikash Joshi, Ioannis Partalas, Massih-Reza Amini, 2017, NIPS.

Multiview self-learning

Massih-Reza Amini, Nicolas Usunier, Cyril Goutte, 2015, Neurocomputing.

Rademacher Generalization Bounds for Classifier Chains pdf

Massih-Reza Amini, Marianne Clausel, Simon Moura, 2018, ArXiv.

Multiview semi-supervised ranking for automatic image annotation

Patrick Gallinari, Massih-Reza Amini, Ali Fakeri-Tabrizi, 2013, MM '13.

Corpus d'entraînement sur les plongements de mots pour la recherche de microblogs culturels

Philippe Mulhem, Massih-Reza Amini, Lorraine Goeuriot, 2018, CORIA.

Learning for Sequence Extraction Tasks

Massih-Reza Amini, Patrick Gallinari, Hugo Zaragoza, 2000, RIAO.

Learning with Interdependent Data

Massih-Reza Amini, Nicolas Usunier, 2015 .

Exploring the Space of IR Functions

Massih-Reza Amini, Éric Gaussier, Francis Maes, 2014, ECIR.

Entropy-Based Concentration Inequalities for Dependent Variables

Massih-Reza Amini, Liva Ralaivola, Massih-Reza Amini, 2015, ICML.

Study of Heuristic IR Constraints Under Function Discovery Framework

Massih-Reza Amini, Éric Gaussier, Parantapa Goswami, 2015, ICTIR.

Multi-view clustering of multilingual documents

Massih-Reza Amini, Young-Min Kim, Patrick Gallinari, 2010, SIGIR.

Generalization error bounds for classifiers trained with interdependent data

Massih-Reza Amini, Patrick Gallinari, Nicolas Usunier, 2005, NIPS.

Ranking with Unlabeled Data: A First Study

Massih-Reza Amini, Patrick Gallinari, Nicolas Usunier, 2005 .

Exploiting Visual Concepts to Improve Text-Based Image Retrieval

Massih-Reza Amini, Christophe Marsala, Patrick Gallinari, 2009, ECIR.

On a Topic Model for Sentences

Georgios Balikas, Massih-Reza Amini, Marianne Clausel, 2016, SIGIR.

Streaming-LDA: A Copula-based Approach to Modeling Topic Dependencies in Document Streams

Massih-Reza Amini, Éric Gaussier, Marianne Clausel, 2016, KDD.

Exploitation du contenu visuel pour améliorer la recherche textuelle d'images en ligne

Massih-Reza Amini, Christophe Marsala, Patrick Gallinari, 2010, Document Numérique.

A self-training method for learning to rank with unlabeled data

Massih-Reza Amini, Patrick Gallinari, Tuong-Vinh Truong, 2009, ESANN.

Automatic Text Summarization Using Unsupervised and Semi-supervised Learning

Massih-Reza Amini, Patrick Gallinari, P. Gallinari, 2001, PKDD.

A co-classification approach to learning from multilingual corpora

Massih-Reza Amini, Cyril Goutte, Cyril Goutte, 2010, Machine Learning.

Treatment Targeting by AUUC Maximization with Generalization Guarantees pdf

Massih-Reza Amini, Eustache Diemert, Artem Betlei, 2020, ArXiv.

Une méthode contextuelle d'extension de requête avec des groupements de mots pour le résumé automatique

Massih-Reza Amini, Young-Min Kim, Patrick Gallinari, 2008, CORIA.

Transferring knowledge with source selection to learn IR functions on unlabeled collections

Massih-Reza Amini, Éric Gaussier, Parantapa Goswami, 2013, CIKM.

Representation Learning and Pairwise Ranking for Implicit Feedback in Recommendation Systems

Massih-Reza Amini, Yury Maximov, Charlotte Laclau, 2017, 1705.00105.

Learning with Partially Labeled and Interdependent Data

Massih-Reza Amini, Nicolas Usunier, Nicolas Usunier, 2015, Springer International Publishing.

UPMC/LIP6 at ImageCLEFannotation 2010

Massih-Reza Amini, Patrick Gallinari, Nicolas Usunier, 2010, CLEF.

Sparse Asynchronous Distributed Learning

Massih-Reza Amini, Franck Iutzeler, Dmitry Grischenko, 2020, ICONIP.

Apprentissage semi-supervisé de fonctions d'ordonnancement

Massih-Reza Amini, Tuong-Vinh Truong, 2007, EGC.

Learning language-independent sentence representations for multi-lingual, multi-document summarization

Georgios Balikas, Massih-Reza Amini, Massih-Reza Amini, 2015 .

UHigh-Level Feature Detection with Forests of Fuzzy Decision Trees combined with the RankBoost Algorithm

Massih-Reza Amini, Christophe Marsala, Nicolas Usunier, 2007, TRECVID.

Résumé automatique de texte avec un algorithme d'ordonnancement

Massih-Reza Amini, Patrick Gallinari, Nicolas Usunier, 2005, CORIA.

Factorisation en matrices non négatives pour le filtrage collaboratif

Massih-Reza Amini, Patrick Gallinari, Nicolas Usunier, 2006, CORIA.

Language-independent Query Representation for IR Model Parameter Estimation on Unlabeled Collections

Massih-Reza Amini, Éric Gaussier, Parantapa Goswami, 2015, ICTIR.

Learning for Text Summarization Using Labeled and Unlabeled Sentences

Massih-Reza Amini, Patrick Gallinari, 2001, ICANN.

Automatic Text Summarization Based on Word-Clusters and Ranking Algorithms

Massih-Reza Amini, Patrick Gallinari, Nicolas Usunier, 2005, ECIR.

A boosting algorithm for learning bipartite ranking functions with partially labeled data

Massih-Reza Amini, Cyril Goutte, Tuong-Vinh Truong, 2008, SIGIR '08.

UPMC/LIP6 at ImageCLEF's WikipediaMM: An Image-Annotation Model for an Image Search-Engine

Massih-Reza Amini, Patrick Gallinari, Sabrina Tollari, 2008, CLEF.

Transductive Bounds for the Multi-Class Majority Vote Classifier

Massih-Reza Amini, Emilie Devijver, Vasilii Feofanov, 2019, AAAI.

Biconditional Generative Adversarial Networks for Multiview Learning with Missing Views

Massih-Reza Amini, Anastasiia Doinychko, 2020, ECIR.

On power law distributions in large-scale taxonomies

Ioannis Partalas, Massih-Reza Amini, Rohit Babbar, 2014, SKDD.

Apprentissage non-supervisé pour la segmentation automatique de textes

Massih-Reza Amini, Patrick Gallinari, Jean-François Pessiot, 2004, CORIA.

Distributed Learning with Sparse Communications by Identification

Massih-Reza Amini, Dmitry Grishchenko, J'erome Malick, 2018 .

Sequential Learning over Implicit Feedback for Robust Large-Scale Recommender Systems

Massih-Reza Amini, Yury Maximov, Alexandra Burashnikova, 2019, ECML/PKDD.

À la recherche des paramètres des modèles de RI

Massih-Reza Amini, Éric Gaussier, Parantapa Goswami, 2015, CORIA.

Multi-class to Binary reduction of Large-scale classification Problems

Bikash Joshi, Ioannis Partalas, Massih-Reza Amini, 2015 .

Unsupervised Learning with Term Clustering for Thematic Segmentation of Texts

Massih-Reza Amini, Patrick Gallinari, Jean-François Pessiot, 2004, RIAO.

Modeling topic dependencies in semantically coherent text spans with copulas

Georgios Balikas, Massih-Reza Amini, Éric Gaussier, 2016, COLING.

Semi-supervised Wrapper Feature Selection with Imperfect Labels pdf

Massih-Reza Amini, Emilie Devijver, Vasilii Feofanov, 2019, ArXiv.

Automated Statistical Recognition of Partial Discharges in Insulation Systems

Patrick Gallinari, Massih-Reza Amini, Florence d'Alché-Buc, 1998 .

PAC-Bayesian Analysis for a Two-Step Hierarchical Multiview Learning Approach

Massih-Reza Amini, Emilie Morvant, Anil Goyal, 2016, ECML/PKDD.

Learning aspect models with partially labeled data

Jean-Michel Renders, Massih-Reza Amini, Cyril Goutte, 2011, Pattern Recognit. Lett..

Learning to summarise XML documents using content and structure

Mounia Lalmas, Massih-Reza Amini, Patrick Gallinari, 2005, CIKM '05.

Introduction to Learning Theory

Massih-Reza Amini, Nicolas Usunier, 2015 .

Topical Coherence in LDA-based Models through Induced Segmentation

Georgios Balikas, Wei Lu, Massih-Reza Amini, 2017, ACL.

Résumé automatique de texte avec un algorithme d'ordonnancement

Massih-Reza Amini, Patrick Gallinari, Nicolas Usunier, 2005, Ingénierie des Systèmes d Inf..

Efficient Model Selection for Regularized Classification by Exploiting Unlabeled Data

Georgios Balikas, Ioannis Partalas, Massih-Reza Amini, 2015, IDA.

The use of unlabeled data to improve supervised learning for text summarization

Massih-Reza Amini, Patrick Gallinari, P. Gallinari, 2002, SIGIR '02.

A Transductive Bound for the Voted Classifier with an Application to Semi-supervised Learning

François Laviolette, Massih-Reza Amini, Nicolas Usunier, 2008, NIPS.

UPMC/LIP6 at ImageCLEFphoto 2008: on the Exploitation of Visual Concepts (VCDT)

Massih-Reza Amini, Patrick Gallinari, Marcin Detyniecki, 2008, CLEF.

Algorithmic Robustness for Learning via $(\epsilon, \gamma, \tau)$-Good Similarity Functions

Massih-Reza Amini, Marc Sebban, Amaury Habrard, 2014 .

A Selective Sampling Strategy for Label Ranking

François Laviolette, Massih-Reza Amini, Patrick Gallinari, 2006, ECML.

Recherche d'Information - applications, modèles et algorithmes

Massih-Reza Amini, Éric Gaussier, 2013 .

Learning to Rank for Collaborative Filtering

Massih-Reza Amini, Patrick Gallinari, Nicolas Usunier, 2007, ICEIS.

Semi-supervised Document Classification with a Mislabeling Error Model

Jean-Michel Renders, Massih-Reza Amini, Cyril Goutte, 2008, ECIR.

High-Level Feature Detection with Forests of Fuzzy Decision Trees combined with the RankBoost

Massih-Reza Amini, Christophe Marsala, Nicolas Usunier, 2007 .

KASANDR: A Large-Scale Dataset with Implicit Feedback for Recommendation

Massih-Reza Amini, Charlotte Laclau, Gilles Vandelle, 2017, SIGIR.

Concurrent Learning of Semantic Relations pdf

Georgios Balikas, Massih-Reza Amini, Gaël Dias, 2018, ArXiv.

Multi-label, Multi-class Classification Using Polylingual Embeddings

Georgios Balikas, Massih-Reza Amini, Massih-Reza Amini, 2016, ECIR.

Learning Lexical-Semantic Relations Using Intuitive Cognitive Links

Georgios Balikas, Massih-Reza Amini, Gaël Dias, 2019, ECIR.

Health Monitoring on Social Media over Time

Sihem Amer-Yahia, Massih-Reza Amini, Marianne Clausel, 2018, IEEE Trans. Knowl. Data Eng..

Interactive Learning for Text Summarization

Massih-Reza Amini, 2000 .

Representation Learning and Pairwise Ranking for Implicit and Explicit Feedback in Recommendation Systems pdf

Massih-Reza Amini, Yury Maximov, Charlotte Laclau, 2017, ArXiv.

Semi Supervised Logistic Regression

Massih-Reza Amini, Patrick Gallinari, P. Gallinari, 2002, ECAI.

Multiview Learning of Weighted Majority Vote by Bregman Divergence Minimization pdf

Massih-Reza Amini, Emilie Morvant, Anil Goyal, 2018, IDA.

Heterogeneous Dyadic Multi-task Learning with Implicit Feedback

Massih-Reza Amini, Yury Maximov, Simon Moura, 2018, ICONIP.

Improving document clustering in a learned concept space

Massih-Reza Amini, Young-Min Kim, Patrick Gallinari, 2010, Inf. Process. Manag..

Asynchronous Distributed Matrix Factorization with Similar User and Item Based Regularization

Bikash Joshi, Massih-Reza Amini, Franck Iutzeler, 2016, RecSys.

Stochastic models for surface information extraction in texts

Massih-Reza Amini, Patrick Gallinari, Hugo Zaragoza, 1999 .

CAp 2017 challenge: Twitter Named Entity Recognition pdf

Georgios Balikas, Ioannis Partalas, Massih-Reza Amini, 2017, ArXiv.

Rademacher Complexity Bounds for a Penalized Multi-class Semi-supervised Algorithm (Extended Abstract)

Zaïd Harchaoui, Massih-Reza Amini, Yury Maximov, 2018, IJCAI.

Learning over no-Preferred and Preferred Sequence of items for Robust Recommendation pdf

Massih-Reza Amini, Marianne Clausel, Yury Maximov, 2020, J. Artif. Intell. Res..

Multiview Semi-supervised Learning for Ranking Multilingual Documents

Massih-Reza Amini, Nicolas Usunier, Cyril Goutte, 2011, ECML/PKDD.

Learnable Ranking Models for Automatic Text Summarization and Information Retrieval

Massih-Reza Amini, Patrick Gallinari, Nicolas Usunier, 2012, Textual Information Access: Statistical Models.

Apprentissage Machine: de la théorie à la pratique

Massih-Reza Amini, 2015 .

Semi-supervised learning with an imperfect supervisor

Massih-Reza Amini, Patrick Gallinari, P. Gallinari, 2005, Knowledge and Information Systems.

Sequence Models for Automatic Highlighting and Surface Information Extraction

Massih-Reza Amini, Patrick Gallinari, Hugo Zaragoza, 1999, BCS-IRSG Annual Colloquium on IR Research.

Semi-Supervised Learning with Explicit Misclassification Modeling

Massih-Reza Amini, Patrick Gallinari, P. Gallinari, 2003, IJCAI.

TwiSE at SemEval-2016 Task 4: Twitter Sentiment Classification pdf

Georgios Balikas, Massih-Reza Amini, Massih-Reza Amini, 2016, *SEMEVAL.

Re-ranking approach to classification in large-scale power-law distributed category systems

Ioannis Partalas, Massih-Reza Amini, Rohit Babbar, 2014, SIGIR.

Rademacher Complexity Bounds for a Penalized Multiclass Semi-Supervised Algorithm pdf

Zaïd Harchaoui, Massih-Reza Amini, Yury Maximov, 2016, J. Artif. Intell. Res..

Apprentissage d'un espace de concepts de mots pour une nouvelle représentation des données textuelles

Massih-Reza Amini, Young-Min Kim, Patrick Gallinari, 2008, CORIA.

Multiview Boosting by Controlling the Diversity and the Accuracy of View-specific Voters

Massih-Reza Amini, Emilie Morvant, Anil Goyal, 2019, Neurocomputing.

Reducing the Annotation Burden in Text Classification

Jean-Michel Renders, Massih-Reza Amini, Cyril Goutte, 2006 .

Incorporating prior knowledge into a transductive ranking algorithm for multi-document summarization

Massih-Reza Amini, Nicolas Usunier, 2009, SIGIR.

On Binary Reduction of Large-Scale Multiclass Classification Problems

Bikash Joshi, Ioannis Partalas, Massih-Reza Amini, 2015, IDA.

Learning Classification with Both Labeled and Unlabeled Data

Massih-Reza Amini, Patrick Gallinari, Jean-Noël Vittaut, 2002, ECML.

Learning-based summarisation of XML documents

Mounia Lalmas, Massih-Reza Amini, Nicolas Usunier, 2007, Information Retrieval.

Combining coregularization and consensus-based self-training for multilingual text categorization

Massih-Reza Amini, Nicolas Usunier, Cyril Goutte, 2010, SIGIR.

Uplift Prediction with Dependent Feature Representation in Imbalanced Treatment and Control Conditions

Massih-Reza Amini, Eustache Diemert, Artem Betlei, 2018, ICONIP.

Filtrage Collaboratif avec un Algorithme d'Ordonnancement

Massih-Reza Amini, Patrick Gallinari, Nicolas Usunier, 2007, CORIA.

Exploring the space of information retrieval term scoring functions

Massih-Reza Amini, Éric Gaussier, Parantapa Goswami, 2017, Inf. Process. Manag..

Using Visual Concepts and Fast Visual Diversity to Improve Image Retrieval

Massih-Reza Amini, Christophe Marsala, Patrick Gallinari, 2008, CLEF.

An empirical study on large scale text classification with skip-gram embeddings pdf

Georgios Balikas, Massih-Reza Amini, Massih-Reza Amini, 2016, ArXiv.

Utilisation de concepts visuels et de la diversité visuelle pour améliorer la recherche d'images

Massih-Reza Amini, Christophe Marsala, Patrick Gallinari, 2009, CORIA.

Multitask Learning for Fine-Grained Twitter Sentiment Analysis

Georgios Balikas, Massih-Reza Amini, Simon Moura, 2017, SIGIR.

LSHTC: A Benchmark for Large-Scale Text Classification pdf

Georgios Paliouras, Ioannis Partalas, Massih-Reza Amini, 2015, ArXiv.

Combinaison de fonctions de préférence par boosting pour la recherche de passages dans les systèmes de question/réponse

Massih-Reza Amini, Patrick Gallinari, Nicolas Usunier, 2005, EGC.

Multi-task Learning for Semantic Relations Discovery

Georgios Balikas, Massih-Reza Amini, Gaël Dias, 2018, EKAW.

Transductive learning over automatically detected themes for multi-document summarization

Massih-Reza Amini, Nicolas Usunier, 2011, SIGIR '11.

Neural Architecture Search for extreme multi-label classification: an evolutionary approach

Loïc Pauletto, Massih-Reza Amini, Rohit Babbar, 2020 .

Machine Learning, 2nd Ed

Massih-Reza Amini, 2020 .

Supervised Topic Classification for Modeling a Hierarchical Conference Structure

Vadim V. Strijov, Massih-Reza Amini, Éric Gaussier, 2015, ICONIP.

On using a quantum physics formalism for multidocument summarization

Mounia Lalmas, Massih-Reza Amini, Benjamin Piwowarski, 2012, J. Assoc. Inf. Sci. Technol..

Large-scale asynchronous distributed learning based on parameter exchanges

Bikash Joshi, Massih-Reza Amini, Franck Iutzeler, 2018, International Journal of Data Science and Analytics.

Recommender systems: when memory matters pdf

Massih-Reza Amini, Marianne Clausel, Yury Maximov, 2021, ArXiv.

Multi-class Probabilistic Bounds for Self-learning pdf

Massih-Reza Amini, Emilie Devijver, Vasilii Feofanov, 2021, ArXiv.

Bilingual Topic Models for Comparable Corpora pdf

Georgios Balikas, Massih-Reza Amini, Marianne Clausel, 2021, ArXiv.

Self-Learning for Received Signal Strength Map Reconstruction with Neural Architecture Search

Massih-Reza Amini, Christophe Villien, Benoit Denis, 2021, ICANN.

User preference and embedding learning with implicit feedback for recommender systems

Massih-Reza Amini, Yury Maximov, Charlotte Laclau, 2021, Data Mining and Knowledge Discovery.

Distributed Learning with Sparse Communications by Identification

Massih-Reza Amini, Franck Iutzeler, J'erome Malick, 2021, SIAM J. Math. Data Sci..

A Large Scale Benchmark for Individual Treatment Effect Prediction and Uplift Modeling pdf

Massih-Reza Amini, Thibaud Rahier, Christophe Renaudin, 2021, ArXiv.

Uplift Modeling with Generalization Guarantees

Massih-Reza Amini, Eustache Diemert, Artem Betlei, 2021, KDD.

A Semi-Supervised Multi-Task Learning Approach for Predicting Short-Term Kidney Disease Evolution

Emanuele Frontoni, Massih-Reza Amini, Michele Bernardini, 2021, IEEE Journal of Biomedical and Health Informatics.

Active , Semi-Supervised Learning for Textual Information Access

Massih-Reza Amini, Cyril Goutte, Anastasia Krithara, .

Semi-supervised learning with an explicit label-error model for misclassified data

Massih-Reza Amini, Patrick Gallinari, P. Gallinari, 2022 .