Nicolas Baskiotis

Orcid: 0000-0001-5015-0961

According to our database1, Nicolas Baskiotis authored at least 31 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Time Series Continuous Modeling for Imputation and Forecasting with Implicit Neural Representations.
Trans. Mach. Learn. Res., 2024

2023
A hyperbolic approach for learning communities on graphs.
Data Min. Knowl. Discov., May, 2023

Interpretable time series neural representation for classification purposes.
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.
Proceedings of the International Conference on Machine Learning, 2022

2021
LEADS: Learning Dynamical Systems that Generalize Across Environments.
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.
CoRR, 2019

2018
Anomaly detection in smart card logs and distant evaluation with Twitter: a robust framework.
Neurocomputing, 2018

Towards Human Activity Reasoning with Computational Logic and Deep Learning.
Proceedings of the 10th Hellenic Conference on Artificial Intelligence, 2018

2017
Binary Stochastic Representations for Large Multi-class Classification.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Anomaly detection and characterization in smart card logs using NMF and Tweets.
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.
Pattern Anal. Appl., 2016

Joint prediction of road-traffic and parking occupancy over a city with representation learning.
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.
Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016

Trajectory Bayesian indexing: The airport ground traffic case.
Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016

Learning Embeddings for Completion and Prediction of Relationnal Multivariate Time-Series.
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

Représentation temporelle des mots : application au clustering de micro-blogs.
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.
Inf. Softw. Technol., 2015

LSHTC: A Benchmark for Large-Scale Text Classification.
CoRR, 2015

An overview of the BIOASQ large-scale biomedical semantic indexing and question answering competition.
BMC Bioinform., 2015

Car-Traffic Forecasting: A Representation Learning Approach.
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.
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.
Proceedings of the Big Data Analytics in the Social and Ubiquitous Context, 2014

Exact and Efficient Temporal Steering of Software Behavioral Model Inference.
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.
Proceedings of the 2013 18th International Conference on Engineering of Complex Computer Systems, 2013

2010
Link Discovery using Graph Feature Tracking.
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.
Proceedings of the Evolutionary Test Generation, 24.08. - 29.08.2008, 2008

2007
Structural Statistical Software Testing with Active Learning in a Graph.
Proceedings of the Inductive Logic Programming, 17th International Conference, 2007

A Machine Learning Approach for Statistical Software Testing.
Proceedings of the IJCAI 2007, 2007

Structural Sampling for Statistical Software Testing.
Proceedings of the Probabilistic, Logical and Relational Learning - A Further Synthesis, 15.04., 2007

2005
Systèmes inductifs-déductifs: une approche statistique.
Proceedings of the Actes de CAP 05, Conférence francophone sur l'apprentissage automatique, 2005

2004
C4.5 competence map: a phase transition-inspired approach.
Proceedings of the Machine Learning, 2004


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