Nicolas Baskiotis

35 papers A* 4B 7Journal 12Unranked 12

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