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2020 – today
- 2024
[j6]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)- 2023
- [j5]Thomas Gerald, Hadi Zaatiti, Hatem Hajri, Nicolas Baskiotis, Olivier Schwander:
A hyperbolic approach for learning communities on graphs. Data Min. Knowl. Discov. 37(3): 1090-1124 (2023) - [c21]Etienne Le Naour, Ghislain Agoua, Nicolas Baskiotis, Vincent Guigue:
Interpretable time series neural representation for classification purposes. DSAA 2023: 1-10 - [i8]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. CoRR abs/2306.05880 (2023) - [i7]Etienne Le Naour, Ghislain Agoua, Nicolas Baskiotis, Vincent Guigue:
Interpretable time series neural representation for classification purposes. CoRR abs/2310.16696 (2023) - 2022
- [c20]Matthieu Kirchmeyer, Yuan Yin, Jérémie Donà, Nicolas Baskiotis, Alain Rakotomamonjy, Patrick Gallinari:
Generalizing to New Physical Systems via Context-Informed Dynamics Model. ICML 2022: 11283-11301 - [i6]Matthieu Kirchmeyer, Yuan Yin
, Jérémie Donà, Nicolas Baskiotis, Alain Rakotomamonjy, Patrick Gallinari:
Generalizing to New Physical Systems via Context-Informed Dynamics Model. CoRR abs/2202.01889 (2022) - 2021
- [c19]Yuan Yin, Ibrahim Ayed, Emmanuel de Bézenac, Nicolas Baskiotis, Patrick Gallinari:
LEADS: Learning Dynamical Systems that Generalize Across Environments. NeurIPS 2021: 7561-7573 - [i5]Yuan Yin, Ibrahim Ayed, Emmanuel de Bézenac, Nicolas Baskiotis, Patrick Gallinari:
LEADS: Learning Dynamical Systems that Generalize Across Environments. CoRR abs/2106.04546 (2021)
2010 – 2019
- 2019
- [i4]Thomas Gerald, Aurélia Léon, Nicolas Baskiotis, Ludovic Denoyer:
Binary Stochastic Representations for Large Multi-class Classification. CoRR abs/1906.09838 (2019) - 2018
- [j4]Emeric Tonnelier, Nicolas Baskiotis, Vincent Guigue, Patrick Gallinari:
Anomaly detection in smart card logs and distant evaluation with Twitter: a robust framework. Neurocomputing 298: 109-121 (2018) - [c18]Ioannis Prapas, Georgios Paliouras, Alexander Artikis, Nicolas Baskiotis:
Towards Human Activity Reasoning with Computational Logic and Deep Learning. SETN 2018: 27:1-27:4 - 2017
- [c17]Emeric Tonnelier, Nicolas Baskiotis, Vincent Guigue, Patrick Gallinari:
Anomaly detection and characterization in smart card logs using NMF and Tweets. ESANN 2017 - [c16]Thomas Gerald, Nicolas Baskiotis, Ludovic Denoyer:
Binary Stochastic Representations for Large Multi-class Classification. ICONIP (1) 2017: 155-165 - 2016
- [j3]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): 41-53 (2016) - [c15]Zeljko Kraljevic, Nicolas Baskiotis, Benjamin Piwowarski, Patrick Gallinari:
Représentation temporelle des mots : application au clustering de micro-blogs. CORIA-CIFED 2016: 531-544 - [c14]Ali Ziat, Gabriella Contardo, Nicolas Baskiotis, Ludovic Denoyer:
Learning Embeddings for Completion and Prediction of Relationnal Multivariate Time-Series. ESANN 2016 - [c13]Ali Ziat, Bertrand Leroy, Nicolas Baskiotis, Ludovic Denoyer:
Joint prediction of road-traffic and parking occupancy over a city with representation learning. ITSC 2016: 725-730 - [c12]Cynthia Delauney, Nicolas Baskiotis, Vincent Guigue:
Trajectory Bayesian indexing: The airport ground traffic case. ITSC 2016: 1047-1052 - [c11]Emeric Tonnelier, Nicolas Baskiotis, Vincent Guigue, Patrick Gallinari:
Smart card in public transportation: Designing a analysis system at the human scale. ITSC 2016: 1336-1341 - 2015
- [j2]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: 138:1-138:28 (2015) - [j1]Sylvain Lamprier, Nicolas Baskiotis, Tewfik Ziadi, Lom-Messan Hillah:
The CARE platform for the analysis of behavior model inference techniques. Inf. Softw. Technol. 60: 32-50 (2015) - [c10]Raphaël Puget, Nicolas Baskiotis:
Hierarchical label partitioning for large scale classification. DSAA 2015: 1-10 - [c9]Ali Ziat, Gabriella Contardo, Nicolas Baskiotis, Ludovic Denoyer:
Car-Traffic Forecasting: A Representation Learning Approach. MUD@ICML 2015: 85-87 - [i3]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 abs/1503.08581 (2015) - 2014
- [c8]Sylvain Lamprier, Tewfik Ziadi, Nicolas Baskiotis, Lom-Messan Hillah:
Exact and Efficient Temporal Steering of Software Behavioral Model Inference. ICECCS 2014: 166-175 - [c7]Mickaël Poussevin, Emeric Tonnelier, Nicolas Baskiotis, Vincent Guigue, Patrick Gallinari:
Mining Ticketing Logs for Usage Characterization with Nonnegative Matrix Factorization. MSM/MUSE/SenseML 2014: 147-164 - 2013
- [c6]Sylvain Lamprier, Nicolas Baskiotis, Tewfik Ziadi, Lom-Messan Hillah:
CARE: A Platform for Reliable Comparison and Analysis of Reverse-Engineering Techniques. ICECCS 2013: 252-255 - 2010
- [c5]Emile Richard, Nicolas Baskiotis, Theodoros Evgeniou, Nicolas Vayatis:
Link Discovery using Graph Feature Tracking. NIPS 2010: 1966-1974
2000 – 2009
- 2008
- [i2]Nicolas Baskiotis, Michèle Sebag, Marie-Claude Gaudel:
SoftwareTesting with Active Learning in a Graph. Evolutionary Test Generation 2008 - 2007
- [c4]Nicolas Baskiotis, Michèle Sebag, Marie-Claude Gaudel, Sandrine-Dominique Gouraud:
A Machine Learning Approach for Statistical Software Testing. IJCAI 2007: 2274-2279 - [c3]Nicolas Baskiotis, Michèle Sebag:
Structural Statistical Software Testing with Active Learning in a Graph. ILP 2007: 49-62 - [i1]Nicolas Baskiotis, Michèle Sebag:
Structural Sampling for Statistical Software Testing. Probabilistic, Logical and Relational Learning - A Further Synthesis 2007 - 2005
- [c2]Nicolas Baskiotis, Michèle Sebag, Olivier Teytaud:
Systèmes inductifs-déductifs: une approche statistique. CAP 2005: 145-146 - 2004
- [c1]Nicolas Baskiotis, Michèle Sebag:
C4.5 competence map: a phase transition-inspired approach. ICML 2004
Coauthor Index
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last updated on 2024-10-07 21:15 CEST by the dblp team
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