Olivier Parisot

54 papers B 2C 19Journal 14Unranked 19

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Detecting streaks in smart telescopes images with Deep Learning. CoRR Olivier Parisot, Mahmoud Jaziri
2025	J	`jnl`	Resource-aware Detection of Satellites Streaks in Deep Sky Images Streams. ERCIM News Olivier Parisot
2025	J	`jnl`	Robustness analysis of Deep Sky Objects detection models on HPC. CoRR Olivier Parisot, Diogo Ramalho Fernandes
2025	C	`conf`	Toward a Public Dataset of Wide-Field Astronomical Images Captured with Smartphones. DATA Olivier Parisot, Diogo Ramalho Fernandes
2024	—	`conf`	Data and Models for Sunspots Detection in Solar Images Captured with Smart Telescopes. ARTIIS (2) Olivier Parisot
2024	J	`jnl`	DeepSpaceYoloDataset: Annotated Astronomical Images Captured with Smart Telescopes. Data Olivier Parisot
2024	—	`conf`	Détection d'objets célestes dans des images astronomiques par IA explicable. EGC Olivier Parisot, Mahmoud Jaziri
2024	C	`conf`	Impact of Satellites Streaks for Observational Astronomy: A Study on Data Captured During One Year from Luxembourg Greater Region. DATA Olivier Parisot, Mahmoud Jaziri
2023	J	`jnl`	Amélioration de la qualité d'images avec un algorithme d'optimisation inspirée par la nature. CoRR Olivier Parisot, Thomas Tamisier
2023	C	`conf`	Astronomical Images Quality Assessment with Automated Machine Learning. DATA Olivier Parisot, Pierrick Bruneau, Patrik Hitzelberger
2023	J	`jnl`	Astronomical Images Quality Assessment with Automated Machine Learning. CoRR Olivier Parisot, Pierrick Bruneau, Patrik Hitzelberger
2023	C	`conf`	Deep Regression Learning for Collaborative Electronically Assisted Astronomy. CDVE Olivier Parisot
2023	J	`jnl`	Détection d'objets célestes dans des images astronomiques par IA explicable. CoRR Olivier Parisot, Mahmoud Jaziri
2023	J	`jnl`	Explainable AI for Astronomical Images Classification. ERCIM News Mahmoud Jaziri, Olivier Parisot
2022	—	`conf`	Applying Genetic Algorithm and Image Quality Assessment for Reproducible Processing of Low-light Images. IMPROVE Olivier Parisot, Thomas Tamisier
2022	J	`jnl`	Improving Accessibility for Deep Sky Observation. ERCIM News Olivier Parisot, Pierrick Bruneau, Patrik Hitzelberger, Gilles Krebs, Christophe Destruel
2021	C	`conf`	Automated Machine Learning for Wind Farms Location. ICPRAM Olivier Parisot, Thomas Tamisier
2021	C	`conf`	Reproducible Improvement of Images Quality Through Nature Inspired Optimisation. CDVE Olivier Parisot, Thomas Tamisier
2020	C	`conf`	A Data-Driven Platform for Predicting the Position of Future Wind Turbines. CDVE Olivier Parisot
2020	—	`conf`	Détection d'anomalies dans les données télémétriques de vaisseaux spatiaux. EGC Olivier Parisot, Philippe Pinheiro, Patrik Hitzelberger
2019	—	`conf`	DMSS: Decision Management System for Safer Spacecrafts. ADHOC-NOW Olivier Parisot, Philippe Pinheiro, Patrik Hitzelberger
2019	J	`jnl`	Designing IoT architectures: Learning from Massive Spacecraft Telemetry Data Analytics. ERCIM News Olivier Parisot, Philippe Pinheiro, Patrik Hitzelberger
2017	—	`conf`	A Corpus of Narratives Related to Luxembourg for the Period 1945-1975. DEXA Workshops Olivier Parisot, Thomas Tamisier
2017	—	`conf`	Faciliter les contributions personnelles pour préserver la mémoire des événements historiques. EGC Pierrick Bruneau, Olivier Parisot, Thomas Tamisier
2017	C	`conf`	Storing and Processing Personal Narratives in the Context of Cultural Legacy Preservation. DATA Pierrick Bruneau, Olivier Parisot, Thomas Tamisier
2017	C	`conf`	Using Visualisation Techniques to Acquire a Better Understanding of Storytelling for Cultural Heritage. DATA Paulo Carvalho, Olivier Parisot, Thomas Tamisier
2017	—	`conf`	Vers un échantillonnage de flux de données transformé. EGC Olivier Parisot, Thomas Tamisier
2016	J	`jnl`	A user-driven case-based reasoning tool for infilling missing values in daily mean river flow records. Environ. Model. Softw. Laura Giustarini, Olivier Parisot, Mohammad Ghoniem, Renaud Hostache, Ivonne Trebs, Benoît Otjacques
2016	—	`conf`	Arbres de modèles et flux de données incomplets. EGC Olivier Parisot, Yoanne Didry, Thomas Tamisier, Benoît Otjacques
2016	J	`jnl`	Predictive Modelling from Data Streams. ERCIM News Olivier Parisot, Benoît Otjacques
2016	B	`conf`	Text analytics on start-up descriptions. RCIS Olivier Parisot, Patrik Hitzelberger, Yoanne Didry, Gero Vierke, Helmut Rieder
2016	—	`conf`	Un outil d'exploration pour le Défi EGC 2016. EGC Olivier Parisot, Yoanne Didry, Thomas Tamisier
2015	J	`jnl`	An Interactive Tool for Transparent Data Preprocessing. ERCIM News Olivier Parisot, Thomas Tamisier
2015	C	`conf`	Engineering Data Intensive Applications with Cadral. CDVE Yoanne Didry, Olivier Parisot, Thomas Tamisier
2015	J	`jnl`	Helping predictive analytics interpretation using regression trees and clustering perturbation. J. Decis. Syst. Olivier Parisot, Yoanne Didry, Thomas Tamisier, Benoît Otjacques
2015	C	`conf`	Preserving Prediction Accuracy on Incomplete Data Streams. DATA Olivier Parisot, Yoanne Didry, Thomas Tamisier, Benoît Otjacques
2015	—	`conf`	Training Model Trees on Data Streams with Missing Values. DATA (Revised Selected Papers) Olivier Parisot, Yoanne Didry, Thomas Tamisier, Benoît Otjacques
2015	—	`conf`	gapIT : Un outil visuel pour l'imputation de valeurs manquantes en hydrologie. EGC Olivier Parisot, Laura Giustarini, Olivier Faber, Renaud Hostache, Ivonne Trebs, Mohammad Ghoniem
2014	B	`conf`	A Heuristic for the Automatic Parametrization of the Spectral Clustering Algorithm. ICPR Pierrick Bruneau, Olivier Parisot, Benoît Otjacques
2014	C	`conf`	Data Intellection for Wiser Online Sales the Optosa Approach. CDVE Thomas Tamisier, Gero Vierke, Helmut Rieder, Yoanne Didry, Olivier Parisot
2014	—	`conf`	Data Visualization using Decision Trees and Clustering. IVAPP Olivier Parisot, Yoanne Didry, Pierrick Bruneau, Benoît Otjacques
2014	C	`conf`	Data Wrangling: A Decisive Step for Compact Regression Trees. CDVE Olivier Parisot, Yoanne Didry, Thomas Tamisier
2014	C	`conf`	Decision Trees and Data Preprocessing to Help Clustering Interpretation. DATA Olivier Parisot, Mohammad Ghoniem, Benoît Otjacques
2014	—	`conf`	Helping decision support with regression trees and clustering perturbation. DSS Olivier Parisot, Yoanne Didry, Thomas Tamisier
2014	—	`conf`	Une heuristique pour le paramétrage automatique de l'algorithme de clustering spectral. EGC Pierrick Bruneau, Olivier Parisot, Philippe Pinheiro
2014	—	`conf`	Vers une classification non supervisée adaptée pour obtenir des arbres de décision simplifiés. EGC Olivier Parisot, Yoanne Didry, Pierrick Bruneau, Thomas Tamisier
2014	—	`conf`	Visual analytics for supporting manufacturers and distributors in online sales. EMISA Olivier Parisot, Gero Vierke, Thomas Tamisier, Yoanne Didry, Helmut Rieder
2013	C	`conf`	User-Driven Data Preprocessing for Decision Support. CDVE Olivier Parisot, Pierrick Bruneau, Yoanne Didry, Thomas Tamisier
2013	C	`conf`	Using Clustering to Improve Decision Trees Visualization. IV Olivier Parisot, Yoanne Didry, Thomas Tamisier, Benoît Otjacques
2012	—	`conf`	Flexible Integration of Eventually Consistent Distributed Storage with Strongly Consistent Databases. NCCA Olivier Parisot, Antoine Schlechter, Pascal Bauler, Fernand Feltz
2011	C	`conf`	Adapting Decision Support to Business Requirements through Data Interpretation. CDVE Thomas Tamisier, Olivier Parisot, Yoanne Didry, Jérôme Wax, Fernand Feltz
2011	C	`conf`	Modeling Decisional Knowledge with the Help of Data Quality Information. CDVE Jérôme Wax, Benoît Otjacques, Thomas Tamisier, Olivier Parisot, Yoanne Didry, Fernand Feltz
2010	—	`conf`	Model Generated Interface for Modeling and Applying Decisional Knowledge. NDT (2) Thomas Tamisier, Yoanne Didry, Olivier Parisot, Jérôme Wax, Fernand Feltz
2009	C	`conf`	A Collaborative Reasoning Maintenance System for a Reliable Application of Legislations. CDVE Thomas Tamisier, Yoanne Didry, Olivier Parisot, Fernand Feltz

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.