Stages
Les stages aident les étudiants à consolider les connaissances qu’ils acquièrent pendant leurs études mais aussi à acquérir de l’expérience en appliquant leurs connaissances à des problèmes réels. Nous travaillons sur plusieurs problèmes de recherche de grande importance en liaison étroite avec l’actualité scientifique et qui, très souvent, nécessitent de l’interdisciplinarité et dans lesquels les étudiants peuvent s’impliquer.
Nous sommes toujours à la recherche d’étudiants enthousiastes pour travailler avec nous. Vous pouvez trouver ci-dessous une liste de stages actuellement disponibles.
2023
Stage M2
Scalable Subsequence Similarity Search in Seismic Time Series
Yoann Cano, Thémis Palpanas
2022
Stage M2
Active Learning for Neuroscience Time Series Analysis with Deep Learning
Qitong Wang, Stephen Whitmarsh, Jerome Cartailler, Thémis Palpanas
2021
Stage M2
Automatic Detection and Location of Hydro-acoustic Signals
Jean-Marie Saurel, Lise Retailleau, Valérie Ferrazzini, Clément Hibert, Thémis Palpanas
Stage M2
Veracity Assessment Framework for Discovering Social Activities in Urban Big Datasets
Philip Brandt and Soror Sahri
Stage M2
Explanation Methods for Multivariate Time Series Classification
Themis Palpanas and Paul Boniol
Stage M2
Deep Learning-based Prediction of Query Answering Ties for Data Series Similarity Search
Themis Palpanas and Qitong Wang
Stage M2
Deep Learning-based EEG Epilepsy Detection and Analysis
Themis Palpanas and Qitong Wang
Stage M2
An Indirect Approach for Neutrino Associations with Astrophysical Objects using Deep Learning and Statistical Inference
Yvonne Becherini and Themis Palpanas
2020
Stage M2
Data Series Analytics and Deep Learning for Gravitational Wave Glitch Detection
Themis Palpanas and Kostas Zoumpatianos
Stage M2
Compressed-memory Mapped-vectors Using Traditional and Deep Neural Network Compression Algorithms
Themis Palpanas and Kostas Zoumpatianos
2019
Stage M2
Signature-Based Disaggregation of Electricity Demand
Ioana Ileana and Themis Palpanas
2018
Stage M2
Machine Learning for Massive Data Series Collections
Themis Palpanas
Stage M2
Machine Learning for Recommendations and Profile Modeling in Social Networks
(2 positions)
Themis Palpanas
2017
Stage M2
Time Series Analysis for Near-Infrared Spectroscopy Data
Judit Gervain, Themis Palpanas
Stage M2
Very Large Time Series Analysis for Predictive Maintenance
(2 positions)
Themis Palpanas, Niklas Boers
2016
Stage M2
Gestion de l’incertitude et de l’incohérence de données dans le fusion de Big Data
Salima Benbernou, Mourad Ouziri
Stage M1/M2
Time Series Analysis of Human Eye Movement Data
Themis Palpanas, Zoi Kapoula
Stage M1/M2
Time Series Analysis for Near-Infrared Spectroscopy Data
Themis Palpanas, Judit Gervain
Stage M1/M2
Parallelization for Ultra-Fast Data Series Indexing
Themis Palpanas
Stage M1/M2
Ultra-Fast Visualizations for Data Series Analytics
Themis Palpanas
Stage M1/M2
Advanced Analytics: Mining All Lag-Correlated Data Series
Themis Palpanas