Causal analysis of probabilistic counterexamples. - Hichem Debbi; Mustapha Bourahla (MEMOCODE, 2013)

Generating Diagnoses for Probabilistic Model Checking Using Causality. - Hichem Debbi; Mustapha Bourahla (J. Comput. Inf. Technol., 2013)

Diagnosis of Probabilistic Models using Causality and Regression. - Hichem Debbi (VECoS, 2014)

Debugging of Markov Decision Processes (MDPs) Models. - Hichem Debbi (CREST@ETAPS, 2016)

Debugging of probabilistic systems using structural equation modelling. - Hichem Debbi; Aimad Debbi; Mustapha Bourahla (Int. J. Crit. Comput. Based Syst., 2016)

Modeling and Formal Analysis of Probabilistic Complex Event Processing (CEP) Applications. - Hichem Debbi (ECMFA, 2017)

Counterexamples in Model Checking - A survey. - Hichem Debbi (Informatica (Slovenia), 2018)

Causal Explanation of Convolutional Neural Networks. - Hichem Debbi (ECML/PKDD (2), 2021)

Modeling and Performance Analysis of Resource Provisioning in Cloud Computing using Probabilistic Model Checking. - Hichem Debbi (Informatica (Slovenia), 2021)

Machine Learning-based Intrusion Detection System Against Routing Attacks in the Internet of Things. - Abdelhammid Bouazza; Hichem Debbi; Hicham Lakhlef (TACC, 2022)

Modeling and Analysis of Probabilistic Real-time Systems through Integrating Event-B and Probabilistic Model Checking. - Hichem Debbi (Comput. Sci., 2022)

A Debugging Game for Probabilistic Models. - Hichem Debbi (Formal Aspects Comput., 2022)

CauSim: A Causal Learning Framework for Fine-Grained Image Similarity. - Hichem Debbi (IWANN (2), 2023)

An Efficient Hierarchical LSTM-based Framework for Intrusion Detection in Internet of Things (IoT) Systems. - Abdelhammid Bouazza; Hichem Debbi; Hicham Lakhlef; Abdelkarim Smaili (SoftCOM, 2023)

Explaining Query Answers in Probabilistic Databases. - Hichem Debbi (Int. J. Interact. Multim. Artif. Intell., 2023)

Constraint-based debugging in probabilistic model checking. - Hichem Debbi (Computing, 2023)

Causal Explanation of Graph Neural Networks. - Hichem Debbi (IDEAL (1), 2024)

CausAdv: A Causal-based Framework for Detecting Adversarial Examples. - Hichem Debbi (CoRR, 2024)

Ensuring IoT System Fault Tolerance Using Deep Learning and Multi-Criteria Decision Analysis. - Abdelhammid Bouazza; Hichem Debbi; Hicham Lakhlef (AINA (3), 2025)