Nicolas Baskiotis

According to our database, Nicolas Baskiotis authored at least 31 papers between 2004 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

A hyperbolic approach for learning communities on graphs.

Thomas Gerald, Hadi Zaatiti, Hatem Hajri, Nicolas Baskiotis, Olivier Schwander

Data Min. Knowl. Discov., May, 2023

Time Series Continuous Modeling for Imputation and Forecasting with Implicit Neural Representations.

Etienne Le Naour, Louis Serrano, Léon Migus, Yuan Yin, Ghislain Agoua, Nicolas Baskiotis, Patrick Gallinari, Vincent Guigue

CoRR, 2023

Interpretable time series neural representation for classification purposes.

Etienne Le Naour, Ghislain Agoua, Nicolas Baskiotis, Vincent Guigue

Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

2022

Generalizing to New Physical Systems via Context-Informed Dynamics Model.

Matthieu Kirchmeyer, Yuan Yin, Jérémie Donà, Nicolas Baskiotis, Alain Rakotomamonjy, Patrick Gallinari

Proceedings of the International Conference on Machine Learning, 2022

2021

LEADS: Learning Dynamical Systems that Generalize Across Environments.

Yuan Yin, Ibrahim Ayed, Emmanuel de Bézenac, Nicolas Baskiotis, Patrick Gallinari

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2019

Binary Stochastic Representations for Large Multi-class Classification.

Thomas Gerald, Aurélia Léon, Nicolas Baskiotis, Ludovic Denoyer

CoRR, 2019

2018

Anomaly detection in smart card logs and distant evaluation with Twitter: a robust framework.

Emeric Tonnelier, Nicolas Baskiotis, Vincent Guigue, Patrick Gallinari

Neurocomputing, 2018

Towards Human Activity Reasoning with Computational Logic and Deep Learning.

Ioannis Prapas, Georgios Paliouras, Alexander Artikis, Nicolas Baskiotis

Proceedings of the 10th Hellenic Conference on Artificial Intelligence, 2018

2017

Binary Stochastic Representations for Large Multi-class Classification.

Thomas Gerald, Nicolas Baskiotis, Ludovic Denoyer

Proceedings of the Neural Information Processing - 24th International Conference, 2017

Anomaly detection and characterization in smart card logs using NMF and Tweets.

Emeric Tonnelier, Nicolas Baskiotis, Vincent Guigue, Patrick Gallinari

Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

2016

An empirical comparison of V-fold penalisation and cross-validation for model selection in distribution-free regression.

Charanpal Dhanjal, Nicolas Baskiotis, Stéphan Clémençon, Nicolas Usunier

Pattern Anal. Appl., 2016

Joint prediction of road-traffic and parking occupancy over a city with representation learning.

Ali Ziat, Bertrand Leroy, Nicolas Baskiotis, Ludovic Denoyer

Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016

Smart card in public transportation: Designing a analysis system at the human scale.

Emeric Tonnelier, Nicolas Baskiotis, Vincent Guigue, Patrick Gallinari

Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016

Trajectory Bayesian indexing: The airport ground traffic case.

Cynthia Delauney, Nicolas Baskiotis, Vincent Guigue

Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016

Learning Embeddings for Completion and Prediction of Relationnal Multivariate Time-Series.

Ali Ziat, Gabriella Contardo, Nicolas Baskiotis, Ludovic Denoyer

Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

Représentation temporelle des mots : application au clustering de micro-blogs.

Zeljko Kraljevic, Nicolas Baskiotis, Benjamin Piwowarski, Patrick Gallinari

Proceedings of the CORIA 2016 - Conférence en Recherche d'Informations et Applications, 2016

2015

The CARE platform for the analysis of behavior model inference techniques.

Sylvain Lamprier, Nicolas Baskiotis, Tewfik Ziadi, Lom-Messan Hillah

Inf. Softw. Technol., 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

An overview of the BIOASQ large-scale biomedical semantic indexing and question answering competition.

George Tsatsaronis, Georgios Balikas, Prodromos Malakasiotis, Ioannis Partalas, Matthias Zschunke, Michael R. Alvers, Dirk Weissenborn, Anastasia Krithara, Sergios Petridis, Dimitris Polychronopoulos, Yannis Almirantis, John Pavlopoulos, Nicolas Baskiotis, Patrick Gallinari, Thierry Artières, Axel-Cyrille Ngonga Ngomo, Norman Heino, Éric Gaussier, Liliana Barrio-Alvers, Michael Schroeder, Ion Androutsopoulos, Georgios Paliouras

BMC Bioinform., 2015

Car-Traffic Forecasting: A Representation Learning Approach.

Ali Ziat, Gabriella Contardo, Nicolas Baskiotis, Ludovic Denoyer

Proceedings of the 2nd International Workshop on Mining Urban Data co-located with 32nd International Conference on Machine Learning (ICML 2015), 2015

Hierarchical label partitioning for large scale classification.

Raphaël Puget, Nicolas Baskiotis

Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

2014

Mining Ticketing Logs for Usage Characterization with Nonnegative Matrix Factorization.

Mickaël Poussevin, Emeric Tonnelier, Nicolas Baskiotis, Vincent Guigue, Patrick Gallinari

Proceedings of the Big Data Analytics in the Social and Ubiquitous Context, 2014

Exact and Efficient Temporal Steering of Software Behavioral Model Inference.

Sylvain Lamprier, Tewfik Ziadi, Nicolas Baskiotis, Lom-Messan Hillah

Proceedings of the 2014 19th International Conference on Engineering of Complex Computer Systems, 2014

2013

CARE: A Platform for Reliable Comparison and Analysis of Reverse-Engineering Techniques.

Sylvain Lamprier, Nicolas Baskiotis, Tewfik Ziadi, Lom-Messan Hillah

Proceedings of the 2013 18th International Conference on Engineering of Complex Computer Systems, 2013

2010

Link Discovery using Graph Feature Tracking.

Emile Richard, Nicolas Baskiotis, Theodoros Evgeniou, Nicolas Vayatis

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

2008

SoftwareTesting with Active Learning in a Graph.

Nicolas Baskiotis, Michèle Sebag, Marie-Claude Gaudel

Proceedings of the Evolutionary Test Generation, 24.08. - 29.08.2008, 2008

2007

Structural Statistical Software Testing with Active Learning in a Graph.

Nicolas Baskiotis, Michèle Sebag

Proceedings of the Inductive Logic Programming, 17th International Conference, 2007

A Machine Learning Approach for Statistical Software Testing.

Nicolas Baskiotis, Michèle Sebag, Marie-Claude Gaudel, Sandrine-Dominique Gouraud

Proceedings of the IJCAI 2007, 2007

Structural Sampling for Statistical Software Testing.

Nicolas Baskiotis, Michèle Sebag

Proceedings of the Probabilistic, Logical and Relational Learning - A Further Synthesis, 15.04., 2007

2005

Systèmes inductifs-déductifs: une approche statistique.

Nicolas Baskiotis, Michèle Sebag, Olivier Teytaud

Proceedings of the Actes de CAP 05, Conférence francophone sur l'apprentissage automatique, 2005

2004

C4.5 competence map: a phase transition-inspired approach.

Nicolas Baskiotis, Michèle Sebag

Proceedings of the Machine Learning, 2004