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2020 – today
- 2024
[j3]Olivier Parisot
:
DeepSpaceYoloDataset: Annotated Astronomical Images Captured with Smart Telescopes. Data 9(1): 12 (2024)- [c38]Olivier Parisot, Mahmoud Jaziri:
Impact of Satellites Streaks for Observational Astronomy: A Study on Data Captured During One Year from Luxembourg Greater Region. DATA 2024: 417-424 - [c37]Olivier Parisot, Mahmoud Jaziri:
Détection d'objets célestes dans des images astronomiques par IA explicable. EGC 2024: 329-330 - 2023
- [c36]Olivier Parisot:
Deep Regression Learning for Collaborative Electronically Assisted Astronomy. CDVE 2023: 168-173 - [c35]Olivier Parisot, Pierrick Bruneau, Patrik Hitzelberger:
Astronomical Images Quality Assessment with Automated Machine Learning. DATA 2023: 279-286 - [i8]Olivier Parisot, Thomas Tamisier:
Amélioration de la qualité d'images avec un algorithme d'optimisation inspirée par la nature. CoRR abs/2303.07151 (2023) - [i7]Olivier Parisot, Mahmoud Jaziri:
Détection d'objets célestes dans des images astronomiques par IA explicable. CoRR abs/2311.10592 (2023) - [i6]Olivier Parisot, Pierrick Bruneau, Patrik Hitzelberger:
Astronomical Images Quality Assessment with Automated Machine Learning. CoRR abs/2311.10617 (2023) - [i5]Mahmoud Jaziri, Olivier Parisot:
Explainable AI for Astronomical Images Classification. ERCIM News 2023(134) (2023) - 2022
- [c34]Olivier Parisot, Thomas Tamisier:
Applying Genetic Algorithm and Image Quality Assessment for Reproducible Processing of Low-light Images. IMPROVE 2022: 189-194 - [i4]Olivier Parisot, Pierrick Bruneau, Patrik Hitzelberger, Gilles Krebs, Christophe Destruel:
Improving Accessibility for Deep Sky Observation. ERCIM News 2022(130) (2022) - 2021
- [c33]Olivier Parisot, Thomas Tamisier:
Reproducible Improvement of Images Quality Through Nature Inspired Optimisation. CDVE 2021: 335-341 - [c32]Olivier Parisot, Thomas Tamisier:
Automated Machine Learning for Wind Farms Location. ICPRAM 2021: 222-227 - 2020
- [c31]Olivier Parisot:
A Data-Driven Platform for Predicting the Position of Future Wind Turbines. CDVE 2020: 131-136 - [c30]Olivier Parisot, Philippe Pinheiro, Patrik Hitzelberger:
Détection d'anomalies dans les données télémétriques de vaisseaux spatiaux. EGC 2020: 411-412
2010 – 2019
- 2019
- [c29]Olivier Parisot, Philippe Pinheiro, Patrik Hitzelberger:
DMSS: Decision Management System for Safer Spacecrafts. ADHOC-NOW 2019: 627-632 - [i3]Olivier Parisot, Philippe Pinheiro, Patrik Hitzelberger:
Designing IoT architectures: Learning from Massive Spacecraft Telemetry Data Analytics. ERCIM News 2019(119) (2019) - 2017
- [c28]Pierrick Bruneau, Olivier Parisot, Thomas Tamisier:
Storing and Processing Personal Narratives in the Context of Cultural Legacy Preservation. DATA 2017: 48-55 - [c27]Paulo Carvalho, Olivier Parisot, Thomas Tamisier:
Using Visualisation Techniques to Acquire a Better Understanding of Storytelling for Cultural Heritage. DATA 2017: 157-164 - [c26]Olivier Parisot, Thomas Tamisier:
A Corpus of Narratives Related to Luxembourg for the Period 1945-1975. DEXA Workshops 2017: 113-117 - [c25]Pierrick Bruneau, Olivier Parisot, Thomas Tamisier:
Faciliter les contributions personnelles pour préserver la mémoire des événements historiques. EGC 2017: 309-314 - [c24]Olivier Parisot, Thomas Tamisier:
Vers un échantillonnage de flux de données transformé. EGC 2017: 425-426 - 2016
- [j2]Laura Giustarini, Olivier Parisot, Mohammad Ghoniem, Renaud Hostache, Ivonne Trebs, Benoît Otjacques:
A user-driven case-based reasoning tool for infilling missing values in daily mean river flow records. Environ. Model. Softw. 82: 308-320 (2016) - [c23]Olivier Parisot, Yoanne Didry, Thomas Tamisier:
Un outil d'exploration pour le Défi EGC 2016. EGC 2016: 437-442 - [c22]Olivier Parisot, Yoanne Didry, Thomas Tamisier, Benoît Otjacques:
Arbres de modèles et flux de données incomplets. EGC 2016: 519-520 - [c21]Olivier Parisot, Patrik Hitzelberger, Yoanne Didry, Gero Vierke, Helmut Rieder:
Text analytics on start-up descriptions. RCIS 2016: 1-2 - [i2]Olivier Parisot, Benoît Otjacques:
Predictive Modelling from Data Streams. ERCIM News 2016(107) (2016) - 2015
- [j1]Olivier Parisot, Yoanne Didry, Thomas Tamisier, Benoît Otjacques:
Helping predictive analytics interpretation using regression trees and clustering perturbation. J. Decis. Syst. 24(1): 55-72 (2015) - [c20]Yoanne Didry, Olivier Parisot, Thomas Tamisier:
Engineering Data Intensive Applications with Cadral. CDVE 2015: 28-35 - [c19]Olivier Parisot, Yoanne Didry, Thomas Tamisier, Benoît Otjacques:
Training Model Trees on Data Streams with Missing Values. DATA (Revised Selected Papers) 2015: 81-97 - [c18]Olivier Parisot, Yoanne Didry, Thomas Tamisier, Benoît Otjacques:
Preserving Prediction Accuracy on Incomplete Data Streams. DATA 2015: 91-96 - [c17]Olivier Parisot, Laura Giustarini, Olivier Faber, Renaud Hostache, Ivonne Trebs, Mohammad Ghoniem:
gapIT : Un outil visuel pour l'imputation de valeurs manquantes en hydrologie. EGC 2015: 443-448 - [i1]Olivier Parisot, Thomas Tamisier:
An Interactive Tool for Transparent Data Preprocessing. ERCIM News 2015(100) (2015) - 2014
- [c16]Olivier Parisot, Yoanne Didry, Thomas Tamisier:
Data Wrangling: A Decisive Step for Compact Regression Trees. CDVE 2014: 60-63 - [c15]Thomas Tamisier, Gero Vierke, Helmut Rieder, Yoanne Didry, Olivier Parisot:
Data Intellection for Wiser Online Sales the Optosa Approach. CDVE 2014: 175-178 - [c14]Olivier Parisot, Mohammad Ghoniem, Benoît Otjacques:
Decision Trees and Data Preprocessing to Help Clustering Interpretation. DATA 2014: 48-55 - [c13]Olivier Parisot, Gero Vierke, Thomas Tamisier, Yoanne Didry, Helmut Rieder:
Visual analytics for supporting manufacturers and distributors in online sales. EMISA 2014: 133-144 - [c12]Pierrick Bruneau, Olivier Parisot, Philippe Pinheiro:
Une heuristique pour le paramétrage automatique de l'algorithme de clustering spectral. EGC 2014: 233-238 - [c11]Olivier Parisot, Yoanne Didry, Pierrick Bruneau, Thomas Tamisier:
Vers une classification non supervisée adaptée pour obtenir des arbres de décision simplifiés. EGC 2014: 505-508 - [c10]Olivier Parisot, Yoanne Didry, Pierrick Bruneau, Benoît Otjacques:
Data Visualization using Decision Trees and Clustering. IVAPP 2014: 80-87 - [c9]Pierrick Bruneau, Olivier Parisot, Benoît Otjacques:
A Heuristic for the Automatic Parametrization of the Spectral Clustering Algorithm. ICPR 2014: 1313-1318 - [c8]Olivier Parisot, Yoanne Didry, Thomas Tamisier:
Helping decision support with regression trees and clustering perturbation. DSS 2014: 104-109 - 2013
- [c7]Olivier Parisot, Pierrick Bruneau, Yoanne Didry, Thomas Tamisier:
User-Driven Data Preprocessing for Decision Support. CDVE 2013: 81-84 - [c6]Olivier Parisot, Yoanne Didry, Thomas Tamisier, Benoît Otjacques:
Using Clustering to Improve Decision Trees Visualization. IV 2013: 186-191 - 2012
- [c5]Olivier Parisot, Antoine Schlechter, Pascal Bauler, Fernand Feltz:
Flexible Integration of Eventually Consistent Distributed Storage with Strongly Consistent Databases. NCCA 2012: 65-72 - 2011
- [c4]Jérôme Wax, Benoît Otjacques, Thomas Tamisier, Olivier Parisot, Yoanne Didry, Fernand Feltz:
Modeling Decisional Knowledge with the Help of Data Quality Information. CDVE 2011: 78-81 - [c3]Thomas Tamisier, Olivier Parisot, Yoanne Didry, Jérôme Wax, Fernand Feltz:
Adapting Decision Support to Business Requirements through Data Interpretation. CDVE 2011: 82-85 - 2010
- [c2]Thomas Tamisier, Yoanne Didry, Olivier Parisot, Jérôme Wax, Fernand Feltz:
Model Generated Interface for Modeling and Applying Decisional Knowledge. NDT (2) 2010: 430-442
2000 – 2009
- 2009
- [c1]Thomas Tamisier, Yoanne Didry, Olivier Parisot, Fernand Feltz:
A Collaborative Reasoning Maintenance System for a Reliable Application of Legislations. CDVE 2009: 313-316
Coauthor Index
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