Social Behavior Modeling Based on Incremental Discrete Hidden Markov Models. - Alaeddine Mihoub; Gérard Bailly; Christian Wolf 001 (HBU, 2013)

Smart Video Orchestration for Immersive Communication. - Alaeddine Mihoub; Emmanuel Marilly (VISAPP (1), 2013)

Modeling perception-action loops: comparing sequential models with frame-based classifiers. - Alaeddine Mihoub; Gérard Bailly; Christian Wolf 001 (HAI, 2014)

Learning multimodal behavioral models for face-to-face social interaction. - Alaeddine Mihoub; Gérard Bailly; Christian Wolf 001; Frédéric Elisei (J. Multimodal User Interfaces, 2015)

Apprentissage statistique de modèles de comportement multimodal pour les agents conversationnels interactifs. (Learning multimodal behavioral models for interactive conversational agents). - Alaeddine Mihoub (2015)

Graphical models for social behavior modeling in face-to face interaction. - Alaeddine Mihoub; Gérard Bailly; Christian Wolf 001; Frédéric Elisei (Pattern Recognit. Lett., 2016)

Social Intelligence Modeling using Wearable Devices. - Alaeddine Mihoub; Grégoire Lefebvre (IUI, 2017)

Wearables and Social Signal Processing for Smarter Public Presentations. - Alaeddine Mihoub; Grégoire Lefebvre (ACM Trans. Interact. Intell. Syst., 2019)

CyberSecurity Attack Prediction: A Deep Learning Approach. - Ouissem Ben Fredj; Alaeddine Mihoub; Moez Krichen; Omar Cheikhrouhou; Abdelouahid Derhab (SIN, 2020)

Image-to-Tree to Select Significant Blocks for Image Watermarking. - Lamri Laouamer; Jalel Euchi; Salah Zidi; Alaeddine Mihoub (J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl., 2020)

A Deep Learning-Based Framework for Human Activity Recognition in Smart Homes. - Alaeddine Mihoub (Mob. Inf. Syst., 2021)

Multirate Processing with Selective Subbands and Machine Learning for Efficient Arrhythmia Classification. - Saeed Mian Qaisar; Alaeddine Mihoub; Moez Krichen; Humaira Nisar (Sensors, 2021)

Denial of service attack detection and mitigation for internet of things using looking-back-enabled machine learning techniques. - Alaeddine Mihoub; Ouissem Ben Fredj; Omar Cheikhrouhou; Abdelouahid Derhab; Moez Krichen (Comput. Electr. Eng., 2022)

Blockchain for Modern Applications: A Survey. - Moez Krichen; Meryem Ammi; Alaeddine Mihoub; Mutiq Almutiq (Sensors, 2022)

Theft detection dataset for benchmarking and machine learning based classification in a smart grid environment. - Salah Zidi; Alaeddine Mihoub; Saeed Mian Qaisar; Moez Krichen; Qasem Abu Al-Haija (J. King Saud Univ. Comput. Inf. Sci., 2023)

Lightweight AI-Driven Real-Time Intruder Detection System for IoT-Enabled Smart Meters. - Imed Ben Dhaou; Alaeddine Mihoub; Moez Krichen (ICSOC Workshops (1), 2024)

A Novel Deep Learning Approach for Myocardial Infarction Detection and Multi-Label Classification. - Sidra Abbas; Stephen Ojo; Moez Krichen; Meznah A. Alamro; Alaeddine Mihoub; Lucia Vilcekova (IEEE Access, 2024)

Effective Hypertension Detection Using Predictive Feature Engineering and Deep Learning. - Sidra Abbas; Gabriel Avelino R. Sampedro; Moez Krichen; Meznah A. Alamro; Alaeddine Mihoub; Rastislav Kulhanek (IEEE Access, 2024)

Optimal Ensemble Learning Model for Dyslexia Prediction Based on an Adaptive Genetic Algorithm. - Karim Gasmi; Lassaad Ben Ammar; Moez Krichen; Meznah A. Alamro; Alaeddine Mihoub; Manel Mrabet (IEEE Access, 2024)

Defending AI Models Against Adversarial Attacks in Smart Grids Using Deep Learning. - Gabriel Avelino R. Sampedro; Stephen Ojo; Moez Krichen; Meznah A. Alamro; Alaeddine Mihoub; Vincent Karovic 002 (IEEE Access, 2024)

Autism spectrum disorder detection in toddlers and adults using deep learning. - Sidra Abbas; Stephen Ojo; Moez Krichen; Meznah A. Alamro; Alaeddine Mihoub; Lucia Vilcekova (Int. J. Appl. Math. Comput. Sci., 2024)

Exploiting smartphone defence: a novel adversarial malware dataset and approach for adversarial malware detection. - Tae Hoon Kim; Moez Krichen; Meznah A. Alamro; Alaeddine Mihoub; Gabriel Avelino R. Sampedro; Sidra Abbas (Peer Peer Netw. Appl., 2024)

Automated explainable and interpretable framework for anomaly detection and human activity recognition in smart homes. - Tae Hoon Kim; Stephen Ojo; Moez Krichen; Meznah A. Alamro; Alaeddine Mihoub; Gabriel Avelino R. Sampedro (Neural Comput. Appl., 2025)

Correction: Automated explainable and interpretable framework for anomaly detection and human activity recognition in smart homes. - Tae Hoon Kim; Stephen Ojo; Moez Krichen; Meznah A. Alamro; Alaeddine Mihoub; Gabriel Avelino R. Sampedro (Neural Comput. Appl., 2025)