Alex Aussem

Laboratoire d'Informatique en Images et Systèmes d'Information — France

Computer Science · Physical Sciences

17h-index873citations54works0.02yr avg
OpenAlex↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Bayesian Modeling and Causal Inference(13), Text and Document Classification Technologies(12), Machine Learning and Data Classification(11), Neural Networks and Applications(10), Face and Expression Recognition(7)

Publications54 total

Non-Parametric Memory Guidance for Multi-Document Summarization
arXiv (Cornell University)·2023Open Access
Non-Parametric Memory Guidance for Multi-Document Summarization
2023Open Access
Résumé automatique multi-documents guidé par une base de résumés similaires
SPIRE - Sciences Po Institutional REpository·2023Open Access
Data-Efficient Information Extraction from Documents with Pre-trained Language Models
Lecture notes in computer science·2021· 8 citedOpen Access
End-to-End Extraction of Structured Information from Business Documents with Pointer-Generator Networks
2020· 16 citedOpen Access
Hierarchical Recurrent Attention Networks for Context-Aware Education Chatbots
2019· 7 cited
On the use of binary stochastic autoencoders for multi-label classification under the zero-one loss
Procedia Computer Science·2018· 1 citedOpen Access
Réduction de variance due au biais de covariate shift
HAL (Le Centre pour la Communication Scientifique Directe)·2017
Dynamic Ensemble Selection with Probabilistic Classifier Chains
Lecture notes in computer science·2017· 15 cited
Similarity Tree Pruning: A Novel Dynamic Ensemble Selection Approach
2016· 4 cited
Identifying the irreducible disjoint factors of a multivariate probability distribution.
HAL (Le Centre pour la Communication Scientifique Directe)·2016Open Access
An extensive empirical comparison of ensemble learning methods for binary classification
Pattern Analysis and Applications·2016· 22 cited
F-measure Maximization in Multi-Label Classification with Conditionally Independent Label Subsets
arXiv (Cornell University)·2016· 2 citedOpen Access
F-measure Maximization in Multi-Label Classification with Conditionally\n Independent Label Subsets
arXiv (Cornell University)·2016Open Access
Ensemble multi-label text categorization based on rotation forest and latent semantic indexing
Expert Systems with Applications·2016· 52 cited
類似性ツリーの枝刈り:新しい動的アンサンブル選択アプローチ【Powered by NICT】
IEEE Conference Proceedings·2016
F-Measure Maximization in Multi-Label Classification with Conditionally Independent Label Subsets
Lecture notes in computer science·2016· 5 citedOpen Access
Classification model for performance diagnosis of dry port by rail
HAL (Le Centre pour la Communication Scientifique Directe)·2015· 4 cited
A Practical Approach to Reduce the Learning Bias Under Covariate Shift
Lecture notes in computer science·2015
Calibrated k-labelsets for Ensemble Multi-label Classification
Lecture notes in computer science·2015· 3 cited
page 1 of 3Next →

Frequent Co-authors

Haytham Elghazel(15), Sérgio Rodrigues de Morais(9), Maxime Gasse(5), Fionn Murtagh(4), Ouadie Gharroudi(3), M. Sarazin(3), Anil Narassiguin(3), Van-Tinh Tran(3), Mohamed Bibimoune(2), Fionn Murtagh(2), Florence Perraud(2), Sophie Rome(2), Clément Sage(2), Véronique Églin(2), Jérémy Espinas(2), Stéphane Bonnevay(2), F.J. Baud(2), Wafa Saadaoui(1), Fazia Bellal(1), Hasna Barkia(1)