Ihab Sbeity

21 papers B 1Journal 12Unranked 8
YearRankTypeTitle / Venue / Authors
2025 — conf
Beyond Performance: Explaining Non-Intuitive Deep Reinforcement Learning Actions in Elastic Optical Networks.
ECOC
Louma Mehyeddine, Carlos Natalino, Alaa Amro, Jean-Pierre H. Asdikian, Ihab Sbeity, Guido Maier, Paolo Monti, Sebastian Troia, Omran Ayoub
2025 — conf
On the Interplay of Explainability, Privacy and Predictive Performance with Explanation-assisted Model Extraction.
xAI (Late-breaking Work, Demos, Doctoral Consortium)
Fatima Ezzeddine, Rinad Akel, Ihab Sbeity, Silvia Giordano, Marc Langheinrich, Omran Ayoub
2025 J jnl
On the interplay of Explainability, Privacy and Predictive Performance with Explanation-assisted Model Extraction.
CoRR
Fatima Ezzeddine, Rinad Akel, Ihab Sbeity, Silvia Giordano, Marc Langheinrich, Omran Ayoub
2025 B conf
Verifying Behavior of Reinforcement Learning Agents for Network Slice Admission Control.
CNSM
Jean-Pierre H. Asdikian, Alaa Amro, Louma Mehyeddine, Carlos Natalino, Ihab Sbeity, Guido Maier, Paolo Monti, Sebastian Troia, Omran Ayoub
2024 — conf
Differential Privacy for Anomaly Detection: Analyzing the Trade-Off Between Privacy and Explainability.
xAI (3)
Fatima Ezzeddine, Mirna Saad, Omran Ayoub, Davide Andreoletti, Martin Gjoreski, Ihab Sbeity, Marc Langheinrich, Silvia Giordano
2024 J jnl
Differential Privacy for Anomaly Detection: Analyzing the Trade-off Between Privacy and Explainability.
CoRR
Fatima Ezzeddine, Mirna Saad, Omran Ayoub, Davide Andreoletti, Martin Gjoreski, Ihab Sbeity, Marc Langheinrich, Silvia Giordano
2024 — conf
Reducing Complexity and Enhancing Predictive Power of ML-Based Lightpath QoT Estimation via SHAP-Assisted Feature Selection.
ONDM
Hussein Fawaz, Farhad Arpanaei, Davide Andreoletti, Ihab Sbeity, José Alberto Hernández, David Larrabeiti, Omran Ayoub
2023 J jnl
Exposing influence campaigns in the age of LLMs: a behavioral-based AI approach to detecting state-sponsored trolls.
EPJ Data Sci.
Fatima Ezzeddine, Omran Ayoub, Silvia Giordano, Gianluca Nogara, Ihab Sbeity, Emilio Ferrara, Luca Luceri
2022 J jnl
A Survey Investigating the Key Factors and Theoretical E-Learning Frameworks During Crisis Periods.
Int. J. Emerg. Technol. Learn.
Yaser Sh. Mahmood, Mohamed Dbouk, Ihab Sbeity, Zein Ibrahim
2022 J jnl
How "troll" are you? Measuring and detecting troll behavior in online social networks.
CoRR
Fatima Ezzeddine, Luca Luceri, Omran Ayoub, Ihab Sbeity, Gianluca Nogara, Emilio Ferrara, Silvia Giordano
2019 — conf
Building Change Detection in Aerial Images.
BDCSIntell
Fatima Mroueh, Ihab Sbeity, Mohamad Chaitou
2018 — conf
CityPro: From Big-Data to Intelligent-Data; a Smart Approach.
BDCSIntell
Mohamed Dbouk, Mariam Hakim, Ihab Sbeity
2017 J jnl
CityPro: city-surveillance collaborative platform.
Int. J. Big Data Intell.
Mohamed Dbouk, Hamid Mcheick, Ihab Sbeity
2014 — conf
CityPro; An Integrated City-protection Collaborative Platform.
EUSPN/ICTH
Mohamad Dbouk, Hamid Mcheick, Ihab Sbeity
2014 J jnl
Combining the analytical hierarchy process and the genetic algorithm to solve the timetable problem.
CoRR
Ihab Sbeity, Mohamed Dbouk, Habib Kobeissi
2014 J jnl
UsualSpace: A Smart Framework to Support Evolutive-Agents.
J. Softw.
Mohamed Dbouk, Ihab Sbeity, Hamid Mcheick, Haytham Douaihy
2012 J jnl
Generating a Performance Stochastic Model from UML Specifications
CoRR
Ihab Sbeity, Leonardo Brenner, Mohamed Dbouk
2011 J jnl
Stochastic bounds for microprocessor systems availability.
Int. Arab J. Inf. Technol.
Ihab Sbeity, Mohamed Dbouk, Brigitte Plateau
2011 J jnl
Towards service-based approach: building huge software architectural design.
Int. J. Commun. Networks Distributed Syst.
Mohamed Dbouk, Ihab Sbeity, Hamid Mcheick
2008 J jnl
Phase-type distributions in stochastic automata networks.
Eur. J. Oper. Res.
Ihab Sbeity, Leonardo Brenner, Brigitte Plateau, William J. Stewart
2007 — conf
PEPS2007 - Stochastic Automata Networks Software Tool.
QEST
Leonardo Brenner, Paulo Fernandes, Brigitte Plateau, Ihab Sbeity