Muhammad Johan Alibasa

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 17

Top Topics

Human Activity Recognition

Tensor Decomposition

Contextual Features

Top Venues

J. Netw. Syst. Manag.

Publications

Basem Suleiman, Muhammad Johan Alibasa, Rizka Widyarini Purwanto, Lewis Jeffries, Ali Anaissi, Jacky Song
Optimisation of federated learning settings under statistical heterogeneity variations. CoRR (2024)
Yixuan Zhang, Basem Suleiman, Muhammad Johan Alibasa, Farnaz Farid
Privacy-Aware Anomaly Detection in IoT Environments using FedGroup: A Group-Based Federated Learning Approach. J. Netw. Syst. Manag. 32 (1) (2024)
Hamzah Osop, Basem Suleiman, Muhammad Johan Alibasa, Drew Wrigley, Alexandra Helsham, Anne Asmaro
Improving Patients' Length of Stay Prediction Using Clinical and Demographics Features Enrichment. ICCS (2) (2023)
Muhammad Johan Alibasa, Rafael A. Calvo, Kalina Yacef
Predicting Mood from Digital Footprints Using Frequent Sequential Context Patterns Features. Int. J. Hum. Comput. Interact. 39 (10) (2023)
Muhammad Johan Alibasa, Basem Suleiman, Abubakar Bello, Ali Anaissi, Qijing Yan, Shulei Chen
Cloud Resources Usage Prediction Using Deep Learning Models. ACR (2023)
Tulika Shrivastava, Basem Suleiman, Muhammad Johan Alibasa
Hybrid Models for Predicting Cryptocurrency Price Using Financial and Non-Financial Indicators. AusDM (2023)
Basem Suleiman, Muhammad Johan Alibasa, Ya-Yuan Chang, Ali Anaissi
Predictive Auto-scaling: LSTM-Based Multi-step Cloud Workload Prediction. ICSOC Workshops (2023)
Cheuk Yee Cheryl Leung, Basem Suleiman, Muhammad Johan Alibasa, Ghazi Al-Naymat
Anonymous Yet Alike: A Privacy-Preserving DeepProfile Clustering for Mobile Usage Patterns. MobiQuitous (2022)
Basem Suleiman, Ali Anaissi, Muhammad Johan Alibasa, Harrison Truong
Multi-contextual Recommender Using 3D Latent Factor Models and Online Tensor Decomposition. ICCS (1) (2022)
Junifar Adam Pamungkas, Yudi Priyadi, Muhammad Johan Alibasa
Measurement of Similarity Between Requirement Elicitation and Requirement Specification Using Text Pre-Processing in the Cinemaloka Application. AIIoT (2022)
Muhammad Johan Alibasa, Rizka Widyarini Purwanto, Kalina Yacef, Nick Glozier, Rafael A. Calvo
Doing and Feeling: Relationships Between Moods, Productivity and Task-Switching. IEEE Trans. Affect. Comput. 13 (3) (2022)
Yixuan Zhang, Basem Suleiman, Muhammad Johan Alibasa
FedGroup: A Federated Learning Approach for Anomaly Detection in IoT Environments. MobiQuitous (2022)
Junhao Zhao, Basem Suleiman, Muhammad Johan Alibasa
Feature Encoding by Location-Enhanced Word2Vec Embedding for Human Activity Recognition in Smart Homes. MobiQuitous (2022)
Basem Suleiman, Ali Anaissi, Bochao Zhan, Muhammad Johan Alibasa
Intelligent Failure Prediction in Industrial Vehicles. IJCNN (2021)
Basem Suleiman, Kevin Lu, Hong Wa Chan, Muhammad Johan Alibasa
DeepPatterns: Predicting Mobile Apps Usage from Spatio-Temporal and Contextual Features. ICSOC (2021)
Muhammad Johan Alibasa, Rafael A. Calvo
Supporting Mood Introspection from Digital Footprints. ACII (2019)
Muhammad Johan Alibasa, Rafael A. Calvo, Kalina Yacef
Sequential Pattern Mining Suggests Wellbeing Supportive Behaviors. IEEE Access 7 (2019)