C4.5 competence map: a phase transition-inspired approach. - Nicolas Baskiotis; Michèle Sebag (ICML, 2004)

Systèmes inductifs-déductifs: une approche statistique. - Nicolas Baskiotis; Michèle Sebag; Olivier Teytaud (CAP, 2005)

Structural Sampling for Statistical Software Testing. - Nicolas Baskiotis; Michèle Sebag (Probabilistic, Logical and Relational Learning - A Further Synthesis, 2007)

A Machine Learning Approach for Statistical Software Testing. - Nicolas Baskiotis; Michèle Sebag; Marie-Claude Gaudel; Sandrine-Dominique Gouraud (IJCAI, 2007)

Structural Statistical Software Testing with Active Learning in a Graph. - Nicolas Baskiotis; Michèle Sebag (ILP, 2007)

SoftwareTesting with Active Learning in a Graph. - Nicolas Baskiotis; Michèle Sebag; Marie-Claude Gaudel (Evolutionary Test Generation, 2008)

Link Discovery using Graph Feature Tracking. - Emile Richard; Nicolas Baskiotis; Theodoros Evgeniou; Nicolas Vayatis (NIPS, 2010)

CARE: A Platform for Reliable Comparison and Analysis of Reverse-Engineering Techniques. - Sylvain Lamprier; Nicolas Baskiotis; Tewfik Ziadi; Lom-Messan Hillah (ICECCS, 2013)

Exact and Efficient Temporal Steering of Software Behavioral Model Inference. - Sylvain Lamprier; Tewfik Ziadi; Nicolas Baskiotis; Lom-Messan Hillah (ICECCS, 2014)

Mining Ticketing Logs for Usage Characterization with Nonnegative Matrix Factorization. - Mickaël Poussevin; Emeric Tonnelier; Nicolas Baskiotis; Vincent Guigue; Patrick Gallinari (MSM/MUSE/SenseML, 2014)

Hierarchical label partitioning for large scale classification. - Raphaël Puget; Nicolas Baskiotis (DSAA, 2015)

Car-Traffic Forecasting: A Representation Learning Approach. - Ali Ziat; Gabriella Contardo; Nicolas Baskiotis; Ludovic Denoyer (MUD@ICML, 2015)

An overview of the BIOASQ large-scale biomedical semantic indexing and question answering competition. - George Tsatsaronis 001; Georgios Balikas; Prodromos Malakasiotis; Ioannis Partalas; Matthias Zschunke; Michael R. Alvers; Dirk Weissenborn; Anastasia Krithara; Sergios Petridis; Dimitris Polychronopoulos; Yannis Almirantis; John Pavlopoulos; et al. (BMC Bioinform., 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)

The CARE platform for the analysis of behavior model inference techniques. - Sylvain Lamprier; Nicolas Baskiotis; Tewfik Ziadi; Lom-Messan Hillah (Inf. Softw. Technol., 2015)

Représentation temporelle des mots : application au clustering de micro-blogs. - Zeljko Kraljevic; Nicolas Baskiotis; Benjamin Piwowarski; Patrick Gallinari (CORIA-CIFED, 2016)

Learning Embeddings for Completion and Prediction of Relationnal Multivariate Time-Series. - Ali Ziat; Gabriella Contardo; Nicolas Baskiotis; Ludovic Denoyer (ESANN, 2016)

Trajectory Bayesian indexing: The airport ground traffic case. - Cynthia Delauney; Nicolas Baskiotis; Vincent Guigue (ITSC, 2016)

Smart card in public transportation: Designing a analysis system at the human scale. - Emeric Tonnelier; Nicolas Baskiotis; Vincent Guigue; Patrick Gallinari (ITSC, 2016)

Joint prediction of road-traffic and parking occupancy over a city with representation learning. - Ali Ziat; Bertrand Leroy; Nicolas Baskiotis; Ludovic Denoyer (ITSC, 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)

Anomaly detection and characterization in smart card logs using NMF and Tweets. - Emeric Tonnelier; Nicolas Baskiotis; Vincent Guigue; Patrick Gallinari (ESANN, 2017)

Binary Stochastic Representations for Large Multi-class Classification. - Thomas Gerald; Nicolas Baskiotis; Ludovic Denoyer (ICONIP (1), 2017)

Towards Human Activity Reasoning with Computational Logic and Deep Learning. - Ioannis Prapas; Georgios Paliouras; Alexander Artikis; Nicolas Baskiotis (SETN, 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)

Binary Stochastic Representations for Large Multi-class Classification. - Thomas Gerald; Aurélia Léon; Nicolas Baskiotis; Ludovic Denoyer (CoRR, 2019)

LEADS: Learning Dynamical Systems that Generalize Across Environments. - Yuan Yin; Ibrahim Ayed; Emmanuel de Bézenac; Nicolas Baskiotis; Patrick Gallinari (NeurIPS, 2021)

Generalizing to New Physical Systems via Context-Informed Dynamics Model. - Matthieu Kirchmeyer; Yuan Yin; Jérémie Donà; Nicolas Baskiotis; Alain Rakotomamonjy; Patrick Gallinari (ICML, 2022)

Interpretable time series neural representation for classification purposes. - Etienne Le Naour; Ghislain Agoua; Nicolas Baskiotis; Vincent Guigue (DSAA, 2023)

A hyperbolic approach for learning communities on graphs. - Thomas Gerald; Hadi Zaatiti; Hatem Hajri; Nicolas Baskiotis; Olivier Schwander (Data Min. Knowl. Discov., 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 (Trans. Mach. Learn. Res., 2024)