Massih-Reza Amini

Orcid: 0000-0001-9032-4233

According to our database1, Massih-Reza Amini authored at least 159 papers between 1999 and 2025.

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Bibliography

2025
Self-training: A survey.
Neurocomputing, 2025

2024
Generalization bounds for learning under graph-dependence: a survey.
Mach. Learn., July, 2024

Multi-class Probabilistic Bounds for Majority Vote Classifiers with Partially Labeled Data.
J. Mach. Learn. Res., 2024

Neural architecture search for radio map reconstruction with partially labeled data.
Integr. Comput. Aided Eng., 2024

Unified Framework for Neural Network Compression via Decomposition and Optimal Rank Selection.
CoRR, 2024

Classification Tree-based Active Learning: A Wrapper Approach.
CoRR, 2024


Semantic Log Partitioning: Towards Automated Root Cause Analysis.
Proceedings of the 24th IEEE International Conference on Software Quality, 2024

A Unified Contrastive Loss for Self-training.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track and Demo Track, 2024

Exploring Contrastive Learning for Long-Tailed Multi-label Text Classification.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

Efficient Initial Data Selection and Labeling for Multi-Class Classification Using Topological Analysis.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024


2023
A novel missing data imputation approach based on clinical conditional Generative Adversarial Networks applied to EHR datasets.
Comput. Biol. Medicine, September, 2023

Pool-Based Active Learning with Proper Topological Regions.
CoRR, 2023

Deep Learning with Partially Labeled Data for Radio Map Reconstruction.
CoRR, 2023

Generalization Guarantees of Self-Training of Halfspaces under Label Noise Corruption.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Low-Rank Updates of pre-trained Weights for Multi-Task Learning.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Learning over No-Preferred and Preferred Sequence of Items for Robust Recommendation (Extended Abstract).
CoRR, 2022

Self-Training: A Survey.
CoRR, 2022

Self Semi Supervised Neural Architecture Search for Semantic Segmentation.
CoRR, 2022

Wrapper feature selection with partially labeled data.
Appl. Intell., 2022

Telemetry-Based Software Failure Prediction by Concept-Space Model Creation.
Proceedings of the 22nd IEEE International Conference on Software Quality, 2022

Correlating Test Events With Monitoring Logs For Test Log Reduction And Anomaly Prediction.
Proceedings of the IEEE International Symposium on Software Reliability Engineering Workshops, 2022

Se<sup>2</sup>NAS: Self-Semi-Supervised architecture optimization for Semantic Segmentation.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Recommender Systems: When Memory Matters.
Proceedings of the Advances in Information Retrieval, 2022

2021
A Semi-Supervised Multi-Task Learning Approach for Predicting Short-Term Kidney Disease Evolution.
IEEE J. Biomed. Health Informatics, 2021

Distributed Learning with Sparse Communications by Identification.
SIAM J. Math. Data Sci., 2021

Learning over No-Preferred and Preferred Sequence of Items for Robust Recommendation.
J. Artif. Intell. Res., 2021

User preference and embedding learning with implicit feedback for recommender systems.
Data Min. Knowl. Discov., 2021

Bilingual Topic Models for Comparable Corpora.
CoRR, 2021

Self-Training of Halfspaces with Generalization Guarantees under Massart Mislabeling Noise Model.
CoRR, 2021

A Large Scale Benchmark for Individual Treatment Effect Prediction and Uplift Modeling.
CoRR, 2021

Multi-class Probabilistic Bounds for Self-learning.
CoRR, 2021

Uplift Modeling with Generalization Guarantees.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Self-learning for Received Signal Strength Map Reconstruction with Neural Architecture Search.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

2020
Treatment Targeting by AUUC Maximization with Generalization Guarantees.
CoRR, 2020

Learning over no-Preferred and Preferred Sequence of items for Robust Recommendation.
CoRR, 2020

Neural Architecture Search for Extreme Multi-label Text Classification.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Sparse Asynchronous Distributed Learning.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Biconditional Generative Adversarial Networks for Multiview Learning with Missing Views.
Proceedings of the Advances in Information Retrieval, 2020

Reducing Regression Test Suites using the Word2Vec Natural Language Processing Tool.
Proceedings of the Joint Proceedings of SEED & NLPaSE co-located with 27th Asia Pacific Software Engineering Conference 2020, 2020

Machine Learning, 2nd Ed.
Eyrolles, ISBN: 978-2-212-67947-2, 2020

2019
Multiview Boosting by Controlling the Diversity and the Accuracy of View-specific Voters.
Neurocomputing, 2019

Quels corpus d'entraînement pour l'expansion de requêtes par plongement de mots : application à la recherche de microblogs culturels.
CoRR, 2019

Semi-supervised Wrapper Feature Selection with Imperfect Labels.
CoRR, 2019

Sequential Learning over Implicit Feedback for Robust Large-Scale Recommender Systems.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Learning Lexical-Semantic Relations Using Intuitive Cognitive Links.
Proceedings of the Advances in Information Retrieval, 2019

Transductive Bounds for the Multi-Class Majority Vote Classifier.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
PANDOR.
Dataset, October, 2018

Health Monitoring on Social Media over Time.
IEEE Trans. Knowl. Data Eng., 2018

Rademacher Complexity Bounds for a Penalized Multi-class Semi-supervised Algorithm.
J. Artif. Intell. Res., 2018

Large-scale asynchronous distributed learning based on parameter exchanges.
Int. J. Data Sci. Anal., 2018

Asynchronous Distributed Learning with Sparse Communications and Identification.
CoRR, 2018

Rademacher Generalization Bounds for Classifier Chains.
CoRR, 2018

Concurrent Learning of Semantic Relations.
CoRR, 2018

Learning to recommend diverse items over implicit feedback on PANDOR.
Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Rademacher Complexity Bounds for a Penalized Multi-class Semi-supervised Algorithm (Extended Abstract).
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Multiview Learning of Weighted Majority Vote by Bregman Divergence Minimization.
Proceedings of the Advances in Intelligent Data Analysis XVII, 2018

Heterogeneous Dyadic Multi-task Learning with Implicit Feedback.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Uplift Prediction with Dependent Feature Representation in Imbalanced Treatment and Control Conditions.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

A Delay-tolerant Proximal-Gradient Algorithm for Distributed Learning.
Proceedings of the 35th International Conference on Machine Learning, 2018

Multi-task Learning for Semantic Relations Discovery.
Proceedings of the EKAW 2018 Posters and Demonstrations Session co-located with 21st International Conference on Knowledge Engineering and Knowledge Management (EKAW 2018), 2018

Cross-Lingual Document Retrieval Using Regularized Wasserstein Distance.
Proceedings of the Advances in Information Retrieval, 2018

Corpus d'entraînement sur les plongements de mots pour la recherche de microblogs culturels.
Proceedings of the COnférence en Recherche d'Informations et Applications, 2018

机器学习:理论、实践与提高
iTuring, ISBN: 978-7-115-47965-5, 2018

2017

Exploring the space of information retrieval term scoring functions.
Inf. Process. Manag., 2017

Representation Learning and Pairwise Ranking for Implicit and Explicit Feedback in Recommendation Systems.
CoRR, 2017

CAp 2017 challenge: Twitter Named Entity Recognition.
CoRR, 2017

On the effectiveness of feature set augmentation using clusters of word embeddings.
CoRR, 2017

KASANDR: A Large-Scale Dataset with Implicit Feedback for Recommendation.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Multitask Learning for Fine-Grained Twitter Sentiment Analysis.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

PAC-Bayesian Analysis for a Two-Step Hierarchical Multiview Learning Approach.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Aggressive Sampling for Multi-class to Binary Reduction with Applications to Text Classification.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Topical Coherence in LDA-based Models through Induced Segmentation.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
Learning Taxonomy Adaptation in Large-scale Classification.
J. Mach. Learn. Res., 2016

Rademacher Complexity Bounds for a Penalized Multiclass Semi-Supervised Algorithm.
CoRR, 2016

An empirical study on large scale text classification with skip-gram embeddings.
CoRR, 2016

Health Monitoring on Social Media over Time.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

On a Topic Model for Sentences.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

TwiSE at SemEval-2016 Task 4: Twitter Sentiment Classification.
Proceedings of the 10th International Workshop on Semantic Evaluation, 2016

Asynchronous Distributed Matrix Factorization with Similar User and Item Based Regularization.
Proceedings of the 10th ACM Conference on Recommender Systems, 2016

Streaming-LDA: A Copula-based Approach to Modeling Topic Dependencies in Document Streams.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Multi-label, Multi-class Classification Using Polylingual Embeddings.
Proceedings of the Advances in Information Retrieval, 2016

Modeling topic dependencies in semantically coherent text spans with copulas.
Proceedings of the COLING 2016, 2016

2015
Multiview self-learning.
Neurocomputing, 2015

LSHTC: A Benchmark for Large-Scale Text Classification.
CoRR, 2015

Algorithmic Robustness for Semi-Supervised (ε, γ, τ)-Good Metric Learning.
Proceedings of the 3rd International Conference on Learning Representations, 2015

On Binary Reduction of Large-Scale Multiclass Classification Problems.
Proceedings of the Advances in Intelligent Data Analysis XIV, 2015

Efficient Model Selection for Regularized Classification by Exploiting Unlabeled Data.
Proceedings of the Advances in Intelligent Data Analysis XIV, 2015

Study of Heuristic IR Constraints Under Function Discovery Framework.
Proceedings of the 2015 International Conference on The Theory of Information Retrieval, 2015

Language-independent Query Representation for IR Model Parameter Estimation on Unlabeled Collections.
Proceedings of the 2015 International Conference on The Theory of Information Retrieval, 2015

Supervised Topic Classification for Modeling a Hierarchical Conference Structure.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Entropy-Based Concentration Inequalities for Dependent Variables.
Proceedings of the 32nd International Conference on Machine Learning, 2015

À la recherche des paramètres des modèles de RI.
Proceedings of the CORIA 2015 - Conférence en Recherche d'Infomations et Applications, 2015

Learning with Partially Labeled and Interdependent Data
Springer, ISBN: 978-3-319-15726-9, 2015

Apprentissage Machine: de la théorie à la pratique.
Eyrolles, ISBN: 978-2-212-13800-9, 2015

2014
On power law distributions in large-scale taxonomies.
SIGKDD Explor., 2014

Web-scale classification: web classification in the big data era.
Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

Re-ranking approach to classification in large-scale power-law distributed category systems.
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

Exploring the Space of IR Functions.
Proceedings of the Advances in Information Retrieval, 2014

2013
Reuters RCV1 RCV2 Multilingual, Multiview Text Categorization Test collection.
Dataset, September, 2013

On Flat versus Hierarchical Classification in Large-Scale Taxonomies.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Multiview semi-supervised ranking for automatic image annotation.
Proceedings of the ACM Multimedia Conference, 2013

Maximum-Margin Framework for Training Data Synchronization in Large-Scale Hierarchical Classification.
Proceedings of the Neural Information Processing - 20th International Conference, 2013

Comparative Classifier Evaluation for Web-Scale Taxonomies Using Power Law.
Proceedings of the Semantic Web: ESWC 2013 Satellite Events, 2013

Transferring knowledge with source selection to learn IR functions on unlabeled collections.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Recherche d'Information - applications, modèles et algorithmes.
Eyrolles, ISBN: 978-2-212-13532-9, 2013

2012
On using a quantum physics formalism for multidocument summarization.
J. Assoc. Inf. Sci. Technol., 2012

Fast on-line learning for multilingual categorization.
Proceedings of the 35th International ACM SIGIR conference on research and development in Information Retrieval, 2012

Learnable Ranking Models for Automatic Text Summarization and Information Retrieval.
Proceedings of the Textual Information Access: Statistical Models, 2012

2011
Learning aspect models with partially labeled data.
Pattern Recognit. Lett., 2011

Transductive learning over automatically detected themes for multi-document summarization.
Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

Multiview Semi-supervised Learning for Ranking Multilingual Documents.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

2010
A co-classification approach to learning from multilingual corpora.
Mach. Learn., 2010

Improving document clustering in a learned concept space.
Inf. Process. Manag., 2010

Exploitation du contenu visuel pour améliorer la recherche textuelle d'images en ligne.
Document Numérique, 2010

Apprentissage d'un espace de concepts de mots pour une nouvelle représentation des données textuelles.
Document Numérique, 2010

Multi-view clustering of multilingual documents.
Proceedings of the Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2010

Combining coregularization and consensus-based self-training for multilingual text categorization.
Proceedings of the Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2010

An Extension of the Aspect PLSA Model to Active and Semi-Supervised Learning for Text Classification.
Proceedings of the Artificial Intelligence: Theories, 2010

UPMC/LIP6 at ImageCLEFannotation 2010.
Proceedings of the CLEF 2010 LABs and Workshops, 2010

2009
Incorporating prior knowledge into a transductive ranking algorithm for multi-document summarization.
Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2009

Learning from Multiple Partially Observed Views - an Application to Multilingual Text Categorization.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

A self-training method for learning to rank with unlabeled data.
Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009

Exploiting Visual Concepts to Improve Text-Based Image Retrieval.
Proceedings of the Advances in Information Retrieval, 2009

Utilisation de concepts visuels et de la diversité visuelle pour améliorer la recherche d'images.
Proceedings of the COnférence en Recherche d'Infomations et Applications, 2009

2008
A boosting algorithm for learning bipartite ranking functions with partially labeled data.
Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2008

A Transductive Bound for the Voted Classifier with an Application to Semi-supervised Learning.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Semi-supervised Document Classification with a Mislabeling Error Model.
Proceedings of the Advances in Information Retrieval , 2008

Une méthode contextuelle d'extension de requête avec des groupements de mots pour le résumé automatique.
Proceedings of the COnférence en Recherche d'Infomations et Applications, 2008

Using Visual Concepts and Fast Visual Diversity to Improve Image Retrieval.
Proceedings of the Evaluating Systems for Multilingual and Multimodal Information Access, 2008

Consortium AVEIR at ImageCLEFphoto 2008: on the Fusion of Runs.
Proceedings of the Working Notes for CLEF 2008 Workshop co-located with the 12th European Conference on Digital Libraries (ECDL 2008) , 2008

UPMC/LIP6 at ImageCLEFphoto 2008: on the Exploitation of Visual Concepts (VCDT).
Proceedings of the Working Notes for CLEF 2008 Workshop co-located with the 12th European Conference on Digital Libraries (ECDL 2008) , 2008

UPMC/LIP6 at ImageCLEF's WikipediaMM: An Image-Annotation Model for an Image Search-Engine.
Proceedings of the Working Notes for CLEF 2008 Workshop co-located with the 12th European Conference on Digital Libraries (ECDL 2008) , 2008

An extension of PLSA for document clustering.
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

2007
Learning-based summarisation of XML documents.
Inf. Retr., 2007

UHigh-Level Feature Detection with Forests of Fuzzy Decision Trees combined with the RankBoost Algorithm.
Proceedings of the TRECVID 2007 workshop participants notebook papers, 2007

Learning to Rank for Collaborative Filtering.
Proceedings of the ICEIS 2007, 2007

Apprentissage semi-supervisé de fonctions d'ordonnancement.
Proceedings of the Extraction et gestion des connaissances (EGC'2007), 2007

Filtrage Collaboratif avec un Algorithme d'Ordonnancement.
Proceedings of the COnférence en Recherche d'Infomations et Applications, 2007

2006
Résumé automatique de texte avec un algorithme d'ordonnancement.
Ingénierie des Systèmes d Inf., 2006

A Selective Sampling Strategy for Label Ranking.
Proceedings of the Machine Learning: ECML 2006, 2006

Factorisation en matrices non négatives pour le filtrage collaboratif.
Proceedings of the COnférence en Recherche d'Infomations et Applications, 2006

2005
Semi-supervised learning with an imperfect supervisor.
Knowl. Inf. Syst., 2005

Generalization error bounds for classifiers trained with interdependent data.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Combinaison de fonctions de préférence par boosting pour la recherche de passages dans les systèmes de question/réponse.
Proceedings of the Extraction et gestion des connaissances (EGC'2005), 2005

Automatic Text Summarization Based on Word-Clusters and Ranking Algorithms.
Proceedings of the Advances in Information Retrieval, 2005

Learning to summarise XML documents using content and structure.
Proceedings of the 2005 ACM CIKM International Conference on Information and Knowledge Management, Bremen, Germany, October 31, 2005

2004
Unsupervised Learning with Term Clustering for Thematic Segmentation of Texts.
Proceedings of the Computer-Assisted Information Retrieval (Recherche d'Information et ses Applications), 2004

Apprentissage non-supervisé pour la segmentation automatique de textes.
Proceedings of the COnférence en Recherche d'Infomations et Applications, 2004

2003
Semi-Supervised Learning with Explicit Misclassification Modeling.
Proceedings of the IJCAI-03, 2003

2002
The use of unlabeled data to improve supervised learning for text summarization.
Proceedings of the SIGIR 2002: Proceedings of the 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2002

Learning Classification with Both Labeled and Unlabeled Data.
Proceedings of the Machine Learning: ECML 2002, 2002

Semi Supervised Logistic Regression.
Proceedings of the 15th European Conference on Artificial Intelligence, 2002

2001
Automatic Text Summarization Using Unsupervised and Semi-supervised Learning.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2001

Learning for Text Summarization Using Labeled and Unlabeled Sentences.
Proceedings of the Artificial Neural Networks, 2001

2000
Learning for Sequence Extraction Tasks.
Proceedings of the Computer-Assisted Information Retrieval (Recherche d'Information et ses Applications), 2000

1999
Sequence Models for Automatic Highlighting and Surface Information Extraction.
Proceedings of the Challenge of Image Retrieval, 1999


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