A Collaborative Reasoning Maintenance System for a Reliable Application of Legislations. - Thomas Tamisier; Yoanne Didry; Olivier Parisot; Fernand Feltz (CDVE, 2009)

Model Generated Interface for Modeling and Applying Decisional Knowledge. - Thomas Tamisier; Yoanne Didry; Olivier Parisot; Jérôme Wax; Fernand Feltz (NDT (2), 2010)

Adapting Decision Support to Business Requirements through Data Interpretation. - Thomas Tamisier; Olivier Parisot; Yoanne Didry; Jérôme Wax; Fernand Feltz (CDVE, 2011)

Modeling Decisional Knowledge with the Help of Data Quality Information. - Jérôme Wax; Benoît Otjacques; Thomas Tamisier; Olivier Parisot; Yoanne Didry; Fernand Feltz (CDVE, 2011)

Flexible Integration of Eventually Consistent Distributed Storage with Strongly Consistent Databases. - Olivier Parisot; Antoine Schlechter; Pascal Bauler; Fernand Feltz (NCCA, 2012)

User-Driven Data Preprocessing for Decision Support. - Olivier Parisot; Pierrick Bruneau; Yoanne Didry; Thomas Tamisier (CDVE, 2013)

Using Clustering to Improve Decision Trees Visualization. - Olivier Parisot; Yoanne Didry; Thomas Tamisier; Benoît Otjacques (IV, 2013)

Data Wrangling: A Decisive Step for Compact Regression Trees. - Olivier Parisot; Yoanne Didry; Thomas Tamisier (CDVE, 2014)

Data Intellection for Wiser Online Sales the Optosa Approach. - Thomas Tamisier; Gero Vierke; Helmut Rieder; Yoanne Didry; Olivier Parisot (CDVE, 2014)

Decision Trees and Data Preprocessing to Help Clustering Interpretation. - Olivier Parisot; Mohammad Ghoniem; Benoît Otjacques (DATA, 2014)

Visual analytics for supporting manufacturers and distributors in online sales. - Olivier Parisot; Gero Vierke; Thomas Tamisier; Yoanne Didry; Helmut Rieder (EMISA, 2014)

Une heuristique pour le paramétrage automatique de l'algorithme de clustering spectral. - Pierrick Bruneau; Olivier Parisot; Philippe Pinheiro (EGC, 2014)

Vers une classification non supervisée adaptée pour obtenir des arbres de décision simplifiés. - Olivier Parisot; Yoanne Didry; Pierrick Bruneau; Thomas Tamisier (EGC, 2014)

Data Visualization using Decision Trees and Clustering. - Olivier Parisot; Yoanne Didry; Pierrick Bruneau; Benoît Otjacques (IVAPP, 2014)

A Heuristic for the Automatic Parametrization of the Spectral Clustering Algorithm. - Pierrick Bruneau; Olivier Parisot; Benoît Otjacques (ICPR, 2014)

Helping decision support with regression trees and clustering perturbation. - Olivier Parisot; Yoanne Didry; Thomas Tamisier (DSS, 2014)

Engineering Data Intensive Applications with Cadral. - Yoanne Didry; Olivier Parisot; Thomas Tamisier (CDVE, 2015)

Preserving Prediction Accuracy on Incomplete Data Streams. - Olivier Parisot; Yoanne Didry; Thomas Tamisier; Benoît Otjacques (DATA, 2015)

Training Model Trees on Data Streams with Missing Values. - Olivier Parisot; Yoanne Didry; Thomas Tamisier; Benoît Otjacques (DATA (Revised Selected Papers), 2015)

gapIT : Un outil visuel pour l'imputation de valeurs manquantes en hydrologie. - Olivier Parisot; Laura Giustarini; Olivier Faber; Renaud Hostache; Ivonne Trebs; Mohammad Ghoniem (EGC, 2015)

An Interactive Tool for Transparent Data Preprocessing. - Olivier Parisot; Thomas Tamisier (ERCIM News, 2015)

Helping predictive analytics interpretation using regression trees and clustering perturbation. - Olivier Parisot; Yoanne Didry; Thomas Tamisier; Benoît Otjacques (J. Decis. Syst., 2015)

Un outil d'exploration pour le Défi EGC 2016. - Olivier Parisot; Yoanne Didry; Thomas Tamisier (EGC, 2016)

Arbres de modèles et flux de données incomplets. - Olivier Parisot; Yoanne Didry; Thomas Tamisier; Benoît Otjacques (EGC, 2016)

Text analytics on start-up descriptions. - Olivier Parisot; Patrik Hitzelberger; Yoanne Didry; Gero Vierke; Helmut Rieder (RCIS, 2016)

A user-driven case-based reasoning tool for infilling missing values in daily mean river flow records. - Laura Giustarini; Olivier Parisot; Mohammad Ghoniem; Renaud Hostache; Ivonne Trebs; Benoît Otjacques (Environ. Model. Softw., 2016)

Predictive Modelling from Data Streams. - Olivier Parisot; Benoît Otjacques (ERCIM News, 2016)

Storing and Processing Personal Narratives in the Context of Cultural Legacy Preservation. - Pierrick Bruneau; Olivier Parisot; Thomas Tamisier (DATA, 2017)

Using Visualisation Techniques to Acquire a Better Understanding of Storytelling for Cultural Heritage. - Paulo Carvalho; Olivier Parisot; Thomas Tamisier (DATA, 2017)

A Corpus of Narratives Related to Luxembourg for the Period 1945-1975. - Olivier Parisot; Thomas Tamisier (DEXA Workshops, 2017)

Faciliter les contributions personnelles pour préserver la mémoire des événements historiques. - Pierrick Bruneau; Olivier Parisot; Thomas Tamisier (EGC, 2017)

Vers un échantillonnage de flux de données transformé. - Olivier Parisot; Thomas Tamisier (EGC, 2017)

DMSS: Decision Management System for Safer Spacecrafts. - Olivier Parisot; Philippe Pinheiro; Patrik Hitzelberger (ADHOC-NOW, 2019)

Designing IoT architectures: Learning from Massive Spacecraft Telemetry Data Analytics. - Olivier Parisot; Philippe Pinheiro; Patrik Hitzelberger (ERCIM News, 2019)

A Data-Driven Platform for Predicting the Position of Future Wind Turbines. - Olivier Parisot (CDVE, 2020)

Détection d'anomalies dans les données télémétriques de vaisseaux spatiaux. - Olivier Parisot; Philippe Pinheiro; Patrik Hitzelberger (EGC, 2020)

Reproducible Improvement of Images Quality Through Nature Inspired Optimisation. - Olivier Parisot; Thomas Tamisier (CDVE, 2021)

Automated Machine Learning for Wind Farms Location. - Olivier Parisot; Thomas Tamisier (ICPRAM, 2021)

Applying Genetic Algorithm and Image Quality Assessment for Reproducible Processing of Low-light Images. - Olivier Parisot; Thomas Tamisier (IMPROVE, 2022)

Improving Accessibility for Deep Sky Observation. - Olivier Parisot; Pierrick Bruneau; Patrik Hitzelberger; Gilles Krebs; Christophe Destruel (ERCIM News, 2022)

Deep Regression Learning for Collaborative Electronically Assisted Astronomy. - Olivier Parisot (CDVE, 2023)

Astronomical Images Quality Assessment with Automated Machine Learning. - Olivier Parisot; Pierrick Bruneau; Patrik Hitzelberger (DATA, 2023)

Amélioration de la qualité d'images avec un algorithme d'optimisation inspirée par la nature. - Olivier Parisot; Thomas Tamisier (CoRR, 2023)

Explainable AI for Astronomical Images Classification. - Mahmoud Jaziri; Olivier Parisot (ERCIM News, 2023)

Data and Models for Sunspots Detection in Solar Images Captured with Smart Telescopes. - Olivier Parisot (ARTIIS (2), 2024)

Impact of Satellites Streaks for Observational Astronomy: A Study on Data Captured During One Year from Luxembourg Greater Region. - Olivier Parisot; Mahmoud Jaziri (DATA, 2024)

Détection d'objets célestes dans des images astronomiques par IA explicable. - Olivier Parisot; Mahmoud Jaziri (EGC, 2024)

DeepSpaceYoloDataset: Annotated Astronomical Images Captured with Smart Telescopes. - Olivier Parisot (Data, 2024)

Resource-aware Detection of Satellites Streaks in Deep Sky Images Streams. - Olivier Parisot (ERCIM News, 2025)