Improving classification of microarray data using prototype-based feature selection. - Blaise Hanczar; Mélanie Courtine; Arriel Benis; Corneliu Henegar; Karine Clément; Jean-Daniel Zucker (SIGKDD Explor., 2003)

Categorizing Gene Expression Correlations with Bioclinical Data: An Abstraction Based Approach. - Arriel Benis (SARA, 2005)

DiscoClini : Une méthodologie pour l'extraction de relations linéaires dans des données de génomique médicale. - Arriel Benis; Jean-Daniel Zucker (Actes d'IC, 2007)

Biomarker Discovery in Medical Genomics Data. - Arriel Benis; Mélanie Courtine (BIOCOMP, 2009)

Un système pour l'extraction de corrélations linéaires dans des données de génomique médicale. - Arriel Benis; Mélanie Courtine (EGC, 2009)

Healthcare Informatics Project-Based Learning: An Example of a Technology Management Graduation Project Focusing on Veterinary Medicine. - Arriel Benis (EFMI-STC, 2018)

Risk and Disaster Management: From Planning and Expertise to Smart, Intelligent, and Adaptive Systems. - Arriel Benis; Amos Notea; Refael Barkan (MIE, 2018)

A Social Networks Data Historian Supporting Research in Emergency & Disaster Medicine and Management. - Arriel Benis; Almog Boim; Amos Notea (EFMI-STC, 2019)

A Multi-Lingual Dictionary for Health Informatics as an International Cooperation Pillar. - Arriel Benis; Mihaela Crisan-Vida; Lacramioara Stoicu-Tivadar; Stéfan Jacques Darmoni (ICIMTH, 2019)

The EFMI Working Group "Healthcare Informatics for Interregional Cooperation": An Evolving Strategy for Building Cooperation Bridges. - Arriel Benis; Mihaela Crisan-Vida; Lacramioara Stoicu-Tivadar (MedInfo, 2019)

Entropy-Based Approach to Efficient Cleaning of Big Data in Hierarchical Databases. - Eugene Levner; Boris Kriheli; Arriel Benis; Alexander Ptuskin; Amir Elalouf; Sharon Hovav; Shai Ashkenazi (BigData, 2020)

Upgrading Industrial Engineering and Management curriculum to Industry 4.0. - Arriel Benis; Sofia Amador Nelke; Michael Winokur (ICIT, 2020)

One Digital Health Is FAIR. - Arriel Benis; Oscar Tamburis (EFMI-STC, 2021)

Training the Next Industrial Engineers and Managers about Industry 4.0: A Case Study about Challenges and Opportunities in the COVID-19 Era. - Arriel Benis; Sofia Amador Nelke; Michael Winokur (Sensors, 2021)

Digital Health Multilingual Ontology to Index Teaching Resources. - Stéfan Jacques Darmoni; Arriel Benis; Émeline Lejeune; Flavien Disson; Badisse Dahamna; Patrick Weber; Pascal Staccini; Julien Grosjean (EFMI-STC, 2022)

WikiMeSH: Multi Lingual MeSH Translations via Wikipedia. - Mikaël Dusenne; Kévin Billey; Florent Desgrippes; Arriel Benis; Stéfan Jacques Darmoni; Julien Grosjean (MIE, 2022)

Metrics reloaded: Pitfalls and recommendations for image analysis validation. - Lena Maier-Hein; Annika Reinke; Evangelia Christodoulou; Ben Glocker; Patrick Godau; Fabian Isensee; Jens Kleesiek; Michal Kozubek 001; Mauricio Reyes 001; Michael A. Riegler; Manuel Wiesenfarth; Michael Baumgartner 001; et al. (CoRR, 2022)

Medical informatics and digital health multilingual ontology (MIMO): A tool to improve international collaborations. - Arriel Benis; Julien Grosjean; Kévin Billey; Gustavo Montanha; Verena Dornauer; Mihaela Crisan-Vida; Werner O. Hackl; Lacramioara Stoicu-Tivadar; Stéfan Jacques Darmoni (Int. J. Medical Informatics, 2022)

Social Media and the Internet of Things for Emergency and Disaster Medicine Management. - Arriel Benis (Accident and Emergency Informatics, 2022)

Precision Grazing: when Agriculture, Livestock and Technology unite. - Oscar Tamburis; Mario Magliulo; Adriano Tramontano; Giulio Perillo; Arriel Benis; Serena Calabrò (IEEE Big Data, 2023)

Enhancing Urban Environmental Sustainability Through Unified Stakeholders Needs Co-Creation Process (AENEA). - Georgios Koutalieris; Symeon Symeonidis; Iphigeneia Kapsomenaki; Maria João Feio; Luigi Esposito; Arriel Benis; Carina Dantas; Miriam Cabrita; Harm op den Akker; Oscar Tamburis (MetroXRAINE, 2023)

Understanding metric-related pitfalls in image analysis validation. - Annika Reinke; Minu Tizabi; Michael Baumgartner 001; Matthias Eisenmann; Doreen Heckmann-Nötzel; A. Emre Kavur; Tim Rädsch; Carole H. Sudre; Laura Ación; Michela Antonelli; Tal Arbel; Spyridon Bakas; et al. (CoRR, 2023)

Alert-Grouping: Smart Personalization of Monitoring System Thresholds to Help Healthcare Teams Struggle with Alarm Fatigue in Intensive Care. - Shai Rozenes; Adi Fux; Ilya Kagan; Moran Hellerman; Boaz Tadmor; Arriel Benis (J. Medical Syst., 2023)

All for One, All at Once: A Pluggable and Referenceable Architecture for Monitoring Biophysical Parameters Across Intertwined Domains. - Oscar Tamburis; Adriano Tramontano; Giulio Perillo; Arriel Benis; Mario Magliulo (AINA (5), 2024)

Novel ways to analyse and cope alert-fatigue phenomenon in intensive care units. - Shai Rozenes; Adi Fux; Ilya Kagan; Moran Hellerman; Boaz Tadmor; Arriel Benis (IESS, 2024)

Introducing CAD/CAE tools in Robotics Education: a Case Study from the Deetechtive Project. - Mario Baggetta; Mariusz Cholewa; Mateusz Molasy; Maria Rosienkiewicz; Joanna Helman; Anna Górecka; Maxime Bourgain; Athith Sagar; Dan Kohen-Vacs; Michael Winokur; Arriel Benis; Federico Balugani; et al. (MESA, 2024)

Initiating a One Digital Health Unified Terminology (ODH-UT) to Facilitate Community Expansion. - Helit Bauberg; Dana Nehama; Constantine Blinder; Roy Davidman; Eliyahu Cohen; Oscar Tamburis; Stéfan Jacques Darmoni; Julien Grosjean; Arriel Benis (MIE, 2024)

Empowering healthcare education: A multilingual ontology for medical informatics and digital health (MIMO) integrated to artificial intelligence powered training in smart hospitals. - Arriel Benis; Julien Grosjean; Flavien Disson; Mihaela Crisan-Vida; Patrick Weber; Lacramioara Stoicu-Tivadar; Pascal Staccini; Stéfan Jacques Darmoni (Health Informatics J., 2024)

Enhancing Lessons on the Internet of Things in Science, Technology, Engineering, and Medical Education with a Remote Lab. - Sofia Amador Nelke; Dan Kohen-Vacs; Michael Khomyakov; Maria Rosienkiewicz; Joanna Helman; Mariusz Cholewa; Mateusz Molasy; Anna Górecka; José Francisco Gómez González; Maxime Bourgain; Athith Sagar; Giovanni Berselli; et al. (Sensors, 2024)