Nicolas Baskiotis

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 25

Top Topics

Robust Classification

Behavioral Model

Negative Matrix Factorization

Top Venues

Publications

Etienne Le Naour, Louis Serrano, Léon Migus, Yuan Yin, Ghislain Agoua, Nicolas Baskiotis, Patrick Gallinari, Vincent Guigue
Time Series Continuous Modeling for Imputation and Forecasting with Implicit Neural Representations. Trans. Mach. Learn. Res. 2024 (2024)
Thomas Gerald, Hadi Zaatiti, Hatem Hajri, Nicolas Baskiotis, Olivier Schwander
A hyperbolic approach for learning communities on graphs. Data Min. Knowl. Discov. 37 (3) (2023)
Etienne Le Naour, Ghislain Agoua, Nicolas Baskiotis, Vincent Guigue
Interpretable time series neural representation for classification purposes. CoRR (2023)
Etienne Le Naour, Louis Serrano, Léon Migus, Yuan Yin, Patrick Gallinari, Ghislain Agoua, Nicolas Baskiotis, Vincent Guigue
Time Series Continuous Modeling for Imputation and Forecasting with Implicit Neural Representations. CoRR (2023)
Etienne Le Naour, Ghislain Agoua, Nicolas Baskiotis, Vincent Guigue
Interpretable time series neural representation for classification purposes. DSAA (2023)
Matthieu Kirchmeyer, Yuan Yin, Jérémie Donà, Nicolas Baskiotis, Alain Rakotomamonjy, Patrick Gallinari
Generalizing to New Physical Systems via Context-Informed Dynamics Model. CoRR (2022)
Matthieu Kirchmeyer, Yuan Yin, Jérémie Donà, Nicolas Baskiotis, Alain Rakotomamonjy, Patrick Gallinari
Generalizing to New Physical Systems via Context-Informed Dynamics Model. ICML (2022)
Yuan Yin, Ibrahim Ayed, Emmanuel de Bézenac, Nicolas Baskiotis, Patrick Gallinari
LEADS: Learning Dynamical Systems that Generalize Across Environments. CoRR (2021)
Yuan Yin, Ibrahim Ayed, Emmanuel de Bézenac, Nicolas Baskiotis, Patrick Gallinari
LEADS: Learning Dynamical Systems that Generalize Across Environments. NeurIPS (2021)
Thomas Gerald, Aurélia Léon, Nicolas Baskiotis, Ludovic Denoyer
Binary Stochastic Representations for Large Multi-class Classification. CoRR (2019)
Emeric Tonnelier, Nicolas Baskiotis, Vincent Guigue, Patrick Gallinari
Anomaly detection in smart card logs and distant evaluation with Twitter: a robust framework. Neurocomputing 298 (2018)
Ioannis Prapas, Georgios Paliouras, Alexander Artikis, Nicolas Baskiotis
Towards Human Activity Reasoning with Computational Logic and Deep Learning. SETN (2018)
Emeric Tonnelier, Nicolas Baskiotis, Vincent Guigue, Patrick Gallinari
Anomaly detection and characterization in smart card logs using NMF and Tweets. ESANN (2017)
Thomas Gerald, Nicolas Baskiotis, Ludovic Denoyer
Binary Stochastic Representations for Large Multi-class Classification. ICONIP (1) (2017)
Emeric Tonnelier, Nicolas Baskiotis, Vincent Guigue, Patrick Gallinari
Smart card in public transportation: Designing a analysis system at the human scale. ITSC (2016)
Zeljko Kraljevic, Nicolas Baskiotis, Benjamin Piwowarski, Patrick Gallinari
Représentation temporelle des mots : application au clustering de micro-blogs. CORIA-CIFED (2016)
Ali Ziat, Gabriella Contardo, Nicolas Baskiotis, Ludovic Denoyer
Learning Embeddings for Completion and Prediction of Relationnal Multivariate Time-Series. ESANN (2016)
Ali Ziat, Bertrand Leroy, Nicolas Baskiotis, Ludovic Denoyer
Joint prediction of road-traffic and parking occupancy over a city with representation learning. ITSC (2016)
Cynthia Delauney, Nicolas Baskiotis, Vincent Guigue
Trajectory Bayesian indexing: The airport ground traffic case. ITSC (2016)
Charanpal Dhanjal, Nicolas Baskiotis, Stéphan Clémençon, Nicolas Usunier
An empirical comparison of V-fold penalisation and cross-validation for model selection in distribution-free regression. Pattern Anal. Appl. 19 (1) (2016)
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
An overview of the BIOASQ large-scale biomedical semantic indexing and question answering competition. BMC Bioinform. 16 (2015)
Ali Ziat, Gabriella Contardo, Nicolas Baskiotis, Ludovic Denoyer
Car-Traffic Forecasting: A Representation Learning Approach. MUD@ICML (2015)
Sylvain Lamprier, Nicolas Baskiotis, Tewfik Ziadi, Lom-Messan Hillah
The CARE platform for the analysis of behavior model inference techniques. Inf. Softw. Technol. 60 (2015)
Raphaël Puget, Nicolas Baskiotis
Hierarchical label partitioning for large scale classification. DSAA (2015)
Ioannis Partalas, Aris Kosmopoulos, Nicolas Baskiotis, Thierry Artières, George Paliouras, Éric Gaussier, Ion Androutsopoulos, Massih-Reza Amini, Patrick Gallinari
LSHTC: A Benchmark for Large-Scale Text Classification. CoRR (2015)
Mickaël Poussevin, Emeric Tonnelier, Nicolas Baskiotis, Vincent Guigue, Patrick Gallinari
Mining Ticketing Logs for Usage Characterization with Nonnegative Matrix Factorization. MSM/MUSE/SenseML (2014)
Sylvain Lamprier, Tewfik Ziadi, Nicolas Baskiotis, Lom-Messan Hillah
Exact and Efficient Temporal Steering of Software Behavioral Model Inference. ICECCS (2014)
Sylvain Lamprier, Nicolas Baskiotis, Tewfik Ziadi, Lom-Messan Hillah
CARE: A Platform for Reliable Comparison and Analysis of Reverse-Engineering Techniques. ICECCS (2013)
Emile Richard, Nicolas Baskiotis, Theodoros Evgeniou, Nicolas Vayatis
Link Discovery using Graph Feature Tracking. NIPS (2010)
Nicolas Baskiotis, Michèle Sebag, Marie-Claude Gaudel
SoftwareTesting with Active Learning in a Graph. Evolutionary Test Generation (2008)
Nicolas Baskiotis, Michèle Sebag, Marie-Claude Gaudel, Sandrine-Dominique Gouraud
A Machine Learning Approach for Statistical Software Testing. IJCAI (2007)
Nicolas Baskiotis, Michèle Sebag
Structural Statistical Software Testing with Active Learning in a Graph. ILP (2007)
Nicolas Baskiotis, Michèle Sebag
Structural Sampling for Statistical Software Testing. Probabilistic, Logical and Relational Learning - A Further Synthesis (2007)
Nicolas Baskiotis, Michèle Sebag, Olivier Teytaud
Systèmes inductifs-déductifs: une approche statistique. CAP (2005)
Nicolas Baskiotis, Michèle Sebag
C4.5 competence map: a phase transition-inspired approach. ICML (2004)