Supporting Mood Introspection from Digital Footprints. - Muhammad Johan Alibasa; Rafael A. Calvo (ACII, 2019)

Sequential Pattern Mining Suggests Wellbeing Supportive Behaviors. - Muhammad Johan Alibasa; Rafael A. Calvo; Kalina Yacef (IEEE Access, 2019)

DeepPatterns: Predicting Mobile Apps Usage from Spatio-Temporal and Contextual Features. - Basem Suleiman; Kevin Lu; Hong Wa Chan; Muhammad Johan Alibasa (ICSOC, 2021)

Intelligent Failure Prediction in Industrial Vehicles. - Basem Suleiman; Ali Anaissi; Bochao Zhan; Muhammad Johan Alibasa (IJCNN, 2021)

Measurement of Similarity Between Requirement Elicitation and Requirement Specification Using Text Pre-Processing in the Cinemaloka Application. - Junifar Adam Pamungkas; Yudi Priyadi; Muhammad Johan Alibasa (AIIoT, 2022)

Multi-contextual Recommender Using 3D Latent Factor Models and Online Tensor Decomposition. - Basem Suleiman; Ali Anaissi; Muhammad Johan Alibasa; Harrison Truong (ICCS (1), 2022)

Anonymous Yet Alike: A Privacy-Preserving DeepProfile Clustering for Mobile Usage Patterns. - Cheuk Yee Cheryl Leung; Basem Suleiman; Muhammad Johan Alibasa; Ghazi Al-Naymat (MobiQuitous, 2022)

FedGroup: A Federated Learning Approach for Anomaly Detection in IoT Environments. - Yixuan Zhang; Basem Suleiman; Muhammad Johan Alibasa (MobiQuitous, 2022)

Feature Encoding by Location-Enhanced Word2Vec Embedding for Human Activity Recognition in Smart Homes. - Junhao Zhao; Basem Suleiman; Muhammad Johan Alibasa (MobiQuitous, 2022)

Doing and Feeling: Relationships Between Moods, Productivity and Task-Switching. - Muhammad Johan Alibasa; Rizka Widyarini Purwanto; Kalina Yacef; Nick Glozier; Rafael A. Calvo (IEEE Trans. Affect. Comput., 2022)

Cloud Resources Usage Prediction Using Deep Learning Models. - Muhammad Johan Alibasa; Basem Suleiman; Abubakar Bello; Ali Anaissi; Qijing Yan; Shulei Chen (ACR, 2023)

Hybrid Models for Predicting Cryptocurrency Price Using Financial and Non-Financial Indicators. - Tulika Shrivastava; Basem Suleiman; Muhammad Johan Alibasa (AusDM, 2023)

Improving Patients' Length of Stay Prediction Using Clinical and Demographics Features Enrichment. - Hamzah Osop; Basem Suleiman; Muhammad Johan Alibasa; Drew Wrigley; Alexandra Helsham; Anne Asmaro (ICCS (2), 2023)

Predictive Auto-scaling: LSTM-Based Multi-step Cloud Workload Prediction. - Basem Suleiman; Muhammad Johan Alibasa; Ya-Yuan Chang; Ali Anaissi (ICSOC Workshops, 2023)

Predicting Mood from Digital Footprints Using Frequent Sequential Context Patterns Features. - Muhammad Johan Alibasa; Rafael A. Calvo; Kalina Yacef (Int. J. Hum. Comput. Interact., 2023)

Automated Assessment Tool for Teaching Web Application Developmen. - Basem Suleiman; Muhammad Johan Alibasa; Anthony Wang (CSEE&T, 2024)

Are Fact Checkers Effective in the Post Truth World? Assessing Impact of Fact Checkers Cross Medium and Platforms. - Hrishikesh Masurkar; Basem Suleiman; Waheeb Yaqub; Muhammad Johan Alibasa (WISE (2), 2024)

Optimisation of federated learning settings under statistical heterogeneity variations. - Basem Suleiman; Muhammad Johan Alibasa; Rizka Widyarini Purwanto; Lewis Jeffries; Ali Anaissi; Jacky Song (CoRR, 2024)

Privacy-Aware Anomaly Detection in IoT Environments using FedGroup: A Group-Based Federated Learning Approach. - Yixuan Zhang; Basem Suleiman; Muhammad Johan Alibasa; Farnaz Farid (J. Netw. Syst. Manag., 2024)

Automated Unit Test Case Generation: A Systematic Literature Review. - Jason Wang; Basem Suleiman; Muhammad Johan Alibasa (CoRR, 2025)