Dynamic Service Composition in Ambient Intelligence Environment. - Yazid Benazzouz; Nicolas Sabouret; Belkacem Chikhaoui (IEEE SCC, 2009)

Towards a universal ontology for smart environments. - Belkacem Chikhaoui; Yazid Benazzouz; Bessam Abdulrazak (iiWAS, 2009)

User's behavior study for smart houses occupant prediction. - Rachid Kadouche; Belkacem Chikhaoui; Bessam Abdulrazak (Ann. des Télécommunications, 2010)

A standard ontology for smart spaces. - Bessam Abdulrazak; Belkacem Chikhaoui; Charles Gouin-Vallerand; Benoît Fraikin (Int. J. Web Grid Serv., 2010)

Towards analytical evaluation of human machine interfaces developed in the context of smart homes. - Belkacem Chikhaoui; Hélène Pigot (Interact. Comput., 2010)

An Improved Hybrid Recommender System by Combining Predictions. - Belkacem Chikhaoui; Mauricio Chiazzaro; Shengrui Wang (AINA Workshops, 2011)

A Frequent Pattern Mining Approach for ADLs Recognition in Smart Environments. - Belkacem Chikhaoui; Shengrui Wang; Hélène Pigot (AINA, 2011)

Activity Recognition in Smart Environments: An Information Retrieval Problem. - Belkacem Chikhaoui; Shengrui Wang; Hélène Pigot (ICOST, 2011)

Towards causal models for building behavioral user profile in ubiquitous computing applications. - Belkacem Chikhaoui; Shengrui Wang; Hélène Pigot (UbiComp, 2012)

A new statistical model for activity discovery and recognition in pervasive environments. - Belkacem Chikhaoui; Shengrui Wang; Hélène Pigot (ICPR, 2012)

ADR-SPLDA: Activity discovery and recognition by combining sequential patterns and latent Dirichlet allocation. - Belkacem Chikhaoui; Shengrui Wang; Hélène Pigot (Pervasive Mob. Comput., 2012)

Causality-Based Model for User Profile Construction from Behavior Sequences. - Belkacem Chikhaoui; Shengrui Wang; Hélène Pigot (AINA, 2013)

Pattern-based causal relationships discovery from event sequences for modeling behavioral user profile in ubiquitous environments. - Belkacem Chikhaoui; Shengrui Wang; Tengke Xiong; Hélène Pigot (Inf. Sci., 2014)

A New Granger Causal Model for Influence Evolution in Dynamic Social Networks: The Case of DBLP. - Belkacem Chikhaoui; Mauricio Chiazzaro; Shengrui Wang (AAAI, 2015)

Discovering and tracking influencer-influencee relationships between online communities. - Belkacem Chikhaoui; Mauricio Chiazzaro; Shengrui Wang (DSAA, 2015)

Ensemble Learning-Based Algorithms for Aggressive and Agitated Behavior Recognition. - Belkacem Chikhaoui; Bing Ye; Alex Mihailidis (UCAmI (2), 2016)

Clustering home activity distributions for automatic detection of mild cognitive impairment in older adults. - Ahmad Akl; Belkacem Chikhaoui; Nora Mattek; Jeffrey A. Kaye; Daniel Austin; Alex Mihailidis (J. Ambient Intell. Smart Environ., 2016)

Towards Automatic Feature Extraction for Activity Recognition from Wearable Sensors: A Deep Learning Approach. - Belkacem Chikhaoui; Frank Gouineau (ICDM Workshops, 2017)

Feature-level combination of skeleton joints and body parts for accurate aggressive and agitated behavior recognition. - Belkacem Chikhaoui; Bing Ye; Alex Mihailidis (J. Ambient Intell. Humaniz. Comput., 2017)

Detecting Communities of Authority and Analyzing Their Influence in Dynamic Social Networks. - Belkacem Chikhaoui; Mauricio Chiazzaro; Shengrui Wang; Martin Sotir (ACM Trans. Intell. Syst. Technol., 2017)

Automatic Identification of Behavior Patterns in Mild Cognitive Impairments and Alzheimer's Disease Based on Activities of Daily Living. - Belkacem Chikhaoui; Maxime Lussier; Mathieu Gagnon; Hélène Pigot; Sylvain Giroux; Nathalie Bier (ICOST, 2018)

A CNN Based Transfer Learning Model for Automatic Activity Recognition from Accelerometer Sensors. - Belkacem Chikhaoui; Frank Gouineau; Martin Sotir (MLDM (2), 2018)

Aggressive and agitated behavior recognition from accelerometer data using non-negative matrix factorization. - Belkacem Chikhaoui; Bing Ye; Alex Mihailidis (J. Ambient Intell. Humaniz. Comput., 2018)

HAR-search: a method to discover hidden affinity relationships in online communities. - Jean Marie Tshimula; Belkacem Chikhaoui; Shengrui Wang (ASONAM, 2019)

A Deep Learning Method for Automatic Visual Attention Detection in Older Drivers. - Belkacem Chikhaoui; Perrine Ruer; Evelyne F. Vallières (ICOST, 2019)

Long Short Term Memory Based Model for Abnormal Behavior Prediction in Elderly Persons. - Meriem Zerkouk; Belkacem Chikhaoui (ICOST, 2019)

Challenges in Collecting Big Data in A Clinical Environment with Vulnerable Population: Lessons Learned from A Study Using A Multi-modal Sensors Platform. - Bing Ye; Shehroz S. Khan; Belkacem Chikhaoui; Andrea Iaboni; Lori Schindel Martin; Kristine Newman; Angel He Wang; Alex Mihailidis (Sci. Eng. Ethics, 2019)

On Predicting Behavioral Deterioration in Online Discussion Forums. - Jean Marie Tshimula; Belkacem Chikhaoui; Shengrui Wang (ASONAM, 2020)

A Pre-training Approach for Stance Classification in Online Forums. - Jean Marie Tshimula; Belkacem Chikhaoui; Shengrui Wang (ASONAM, 2020)

Stacked Denoising Autoencoder network for short-term prediction of electrical Algerian load. - Hiba Chelabi; Mohamed Tarek Khadir; Belkacem Chikhaoui (CoDIT, 2020)

Community Mining and Cross-Community Discovery in Online Social Networks. - Belkacem Chikhaoui; Jean Marie Tshimula; Shengrui Wang (NBiS, 2020)

Spatio-Temporal Abnormal Behavior Prediction in Elderly Persons Using Deep Learning Models. - Meriem Zerkouk; Belkacem Chikhaoui (Sensors, 2020)

A new approach for affinity relationship discovery in online forums. - Jean Marie Tshimula; Belkacem Chikhaoui; Shengrui Wang (Soc. Netw. Anal. Min., 2020)

Discovering Affinity Relationships between Personality Types. - Jean Marie Tshimula; Belkacem Chikhaoui; Shengrui Wang (ASONAM, 2022)

Emotion Detection in Law Enforcement Interviews. - Jean Marie Tshimula; Sharmistha Gray; Belkacem Chikhaoui; Shengrui Wang (COMPSAC, 2022)

Tree-Based Models for Pain Detection from Biomedical Signals. - Heng Shi; Belkacem Chikhaoui; Shengrui Wang (ICOST, 2022)

Investigating Moral Foundations from Web Trending Topics. - Jean Marie Tshimula; Belkacem Chikhaoui; Shengrui Wang (NBiS, 2022)

Comparison of Deep Learning Architectures for Short-Term Electrical Load Forecasting Based on Multi-Modal Data. - Hiba Chelabi; Mohamed Tarek Khadir; Belkacem Chikhaoui; Achraf Jabeur Telmoudi (Cybern. Syst., 2022)

COVID-19: Detecting depression signals during stay-at-home period. - Jean Marie Tshimula; Belkacem Chikhaoui; Shengrui Wang (Health Informatics J., 2022)

Multi-Level Fusion of Multi-Source Information Based Deep Learning and Ensemble Deep Learning Models. - Hiba Chelabi; Mohamed Tarek Khadir; Belkacem Chikhaoui (CoDIT, 2023)

Deep Generative Model with Isolation Forest (DGM-IF) for Unsupervised Anomaly Detection in Wireless Sensor Network and Internet of Things. - Meriem Zerkouk; Miloud Mihoubi 001; Belkacem Chikhaoui (CoDIT, 2023)

Deriving Physiological Information from PET Images Using Machine Learning. - Olfa Gassara; Belkacem Chikhaoui; Rostom Mabrouk; Shengrui Wang (ICOST, 2023)

Agitated Behaviors Detection in Children with ASD Using Wearable Data. - Imen Montassar; Belkacem Chikhaoui; Shengrui Wang (ICOST, 2023)

Enhanced Parkinson's Disease Diagnosis Through Convolutional Neural Network Models Applied to SPECT DaTSCAN Images. - Hajer Khachnaoui; Belkacem Chikhaoui; Nawres Khlifa; Rostom Mabrouk (IEEE Access, 2023)

Characterizing Financial Market Coverage using Artificial Intelligence. - Jean Marie Tshimula; D'Jeff K. Nkashama; Patrick Owusu; Marc Frappier; Pierre-Martin Tardif; Froduald Kabanza; Armelle Brun; Jean-Marc Patenaude; Shengrui Wang; Belkacem Chikhaoui (CoRR, 2023)

A Comprehensive Study of ChatGPT: Advancements, Limitations, and Ethical Considerations in Natural Language Processing and Cybersecurity. - Moatsum Alawida; Sami Mejri; Abid Mehmood; Belkacem Chikhaoui; Oludare Isaac Abiodun (Inf., 2023)

A New Sentiment Analysis-based Approach for the Prediction of Users Beliefs. - Sadia Abdulhalim; Rakif Pathan; Belkacem Chikhaoui (CoDIT, 2024)

A new Approach for Community Dynamics and Influence in Social Networks: Case of Wexit Movement. - Olfa Gassara; Jean Marie Tshimula; Belkacem Chikhaoui (CoDIT, 2024)

Deepfake Detection in Cancer Medical Imaging Using CNN Architectures. - Dima Talal Alhalabi; Moatsum Alawida; Belkacem Chikhaoui; Hala Samer Hamadeh (WISE (PhD Symposium, Demos and Workshops), 2024)

Discovering Causal Relationships in Noisy Web Data for Sentiment Classification Using Attention Mechanisms. - Miloud Mihoubi 001; Meriem Zerkouk; Belkacem Chikhaoui (WISE (PhD Symposium, Demos and Workshops), 2024)

Psychological Profiling in Cybersecurity: A Look at LLMs and Psycholinguistic Features. - Jean Marie Tshimula; D'Jeff K. Nkashama; Jean Tshibangu Muabila; René Manassé Galekwa; Hugues Kanda; Maximilien V. Dialufuma; Mbuyi Mukendi Didier; Kalala Kalonji; Serge Mundele; Patience Kinshie Lenye; Tighana Wenge Basele; Aristarque Ilunga; et al. (CoRR, 2024)

Multi-modal recommender system for predicting project manager performance within a competency-based framework. - Imene Jemal; Wilfried Armand Naoussi Sijou; Belkacem Chikhaoui (Frontiers Big Data, 2024)

A machine learning based model for student's dropout prediction in online training. - Meriem Zerkouk; Miloud Mihoubi 001; Belkacem Chikhaoui; Shengrui Wang (Educ. Inf. Technol., 2024)

Dynamic Sparse Causal-Attention Temporal Networks for Interpretable Causality Discovery in Multivariate Time Series. - Miloud Mihoubi 001; Meriem Zerkouk; Belkacem Chikhaoui (Canadian AI, 2025)

Contextual Attention-Based Multimodal Fusion of LLM and CNN for Sentiment Analysis. - Meriem Zerkouk; Miloud Mihoubi 001; Belkacem Chikhaoui (Canadian AI, 2025)

A new approach for competency frameworks mapping using large language models. - Imene Jemal; Wilfried Armand Naoussi Sijou; Belkacem Chikhaoui (Expert Syst. Appl., 2025)

Data-as-an-Asset: Challenges and Futures Directions. - Zakaria Maamar; Amel Benna; Belkacem Chikhaoui (IT Prof., 2025)

Beyond classical and contemporary models: a transformative AI framework for student dropout prediction in distance learning using RAG, Prompt engineering, and Cross-modal fusion. - Miloud Mihoubi 001; Meriem Zerkouk; Belkacem Chikhaoui (CoRR, 2025)

SentiDrop: A Multi Modal Machine Learning model for Predicting Dropout in Distance Learning. - Meriem Zerkouk; Miloud Mihoubi 001; Belkacem Chikhaoui (CoRR, 2025)

A Comprehensive Review of AI-based Intelligent Tutoring Systems: Applications and Challenges. - Meriem Zerkouk; Miloud Mihoubi 001; Belkacem Chikhaoui (CoRR, 2025)