PEPS2007 - Stochastic Automata Networks Software Tool. - Leonardo Brenner; Paulo Fernandes 001; Brigitte Plateau; Ihab Sbeity (QEST, 2007)

Phase-type distributions in stochastic automata networks. - Ihab Sbeity; Leonardo Brenner; Brigitte Plateau; William J. Stewart 001 (Eur. J. Oper. Res., 2008)

Stochastic bounds for microprocessor systems availability. - Ihab Sbeity; Mohamed Dbouk; Brigitte Plateau (Int. Arab J. Inf. Technol., 2011)

Towards service-based approach: building huge software architectural design. - Mohamed Dbouk; Ihab Sbeity; Hamid Mcheick (Int. J. Commun. Networks Distributed Syst., 2011)

Generating a Performance Stochastic Model from UML Specifications - Ihab Sbeity; Leonardo Brenner; Mohamed Dbouk (CoRR, 2012)

CityPro; An Integrated City-protection Collaborative Platform. - Mohamad Dbouk; Hamid Mcheick; Ihab Sbeity (EUSPN/ICTH, 2014)

Combining the analytical hierarchy process and the genetic algorithm to solve the timetable problem. - Ihab Sbeity; Mohamed Dbouk; Habib Kobeissi (CoRR, 2014)

UsualSpace: A Smart Framework to Support Evolutive-Agents. - Mohamed Dbouk; Ihab Sbeity; Hamid Mcheick; Haytham Douaihy (J. Softw., 2014)

CityPro: city-surveillance collaborative platform. - Mohamed Dbouk; Hamid Mcheick; Ihab Sbeity (Int. J. Big Data Intell., 2017)

CityPro: From Big-Data to Intelligent-Data; a Smart Approach. - Mohamed Dbouk; Mariam Hakim; Ihab Sbeity (BDCSIntell, 2018)

Building Change Detection in Aerial Images. - Fatima Mroueh; Ihab Sbeity; Mohamad Chaitou (BDCSIntell, 2019)

How "troll" are you? Measuring and detecting troll behavior in online social networks. - Fatima Ezzeddine; Luca Luceri; Omran Ayoub; Ihab Sbeity; Gianluca Nogara; Emilio Ferrara; Silvia Giordano (CoRR, 2022)

A Survey Investigating the Key Factors and Theoretical E-Learning Frameworks During Crisis Periods. - Yaser Sh. Mahmood; Mohamed Dbouk; Ihab Sbeity; Zein Ibrahim (Int. J. Emerg. Technol. Learn., 2022)

Exposing influence campaigns in the age of LLMs: a behavioral-based AI approach to detecting state-sponsored trolls. - Fatima Ezzeddine; Omran Ayoub; Silvia Giordano; Gianluca Nogara; Ihab Sbeity; Emilio Ferrara; Luca Luceri (EPJ Data Sci., 2023)

Reducing Complexity and Enhancing Predictive Power of ML-Based Lightpath QoT Estimation via SHAP-Assisted Feature Selection. - Hussein Fawaz; Farhad Arpanaei; Davide Andreoletti; Ihab Sbeity; José Alberto Hernández 001; David Larrabeiti; Omran Ayoub (ONDM, 2024)

Differential Privacy for Anomaly Detection: Analyzing the Trade-Off Between Privacy and Explainability. - Fatima Ezzeddine; Mirna Saad; Omran Ayoub; Davide Andreoletti; Martin Gjoreski; Ihab Sbeity; Marc Langheinrich; Silvia Giordano (xAI (3), 2024)

On the interplay of Explainability, Privacy and Predictive Performance with Explanation-assisted Model Extraction. - Fatima Ezzeddine; Rinad Akel; Ihab Sbeity; Silvia Giordano; Marc Langheinrich; Omran Ayoub (CoRR, 2025)