Muhammad Johan Alibasa

According to our database, Muhammad Johan Alibasa authored at least 19 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., March, 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

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

Proceedings of the Web Information Systems Engineering - WISE 2024, 2024

Automated Assessment Tool for Teaching Web Application Developmen.

Basem Suleiman, Muhammad Johan Alibasa, Anthony Wang

Proceedings of the 36th International Conference on Software Engineering Education and Training, 2024

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., June, 2023

Predictive Auto-scaling: LSTM-Based Multi-step Cloud Workload Prediction.

Basem Suleiman, Muhammad Johan Alibasa, Ya-Yuan Chang, Ali Anaissi

Proceedings of the Service-Oriented Computing - ICSOC 2023 Workshops - AI-PA, ASOCA, SAPD, SQS, SSCOPE, WESOACS and Satellite Events, Rome, Italy, November 28, 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

Proceedings of the Computational Science - ICCS 2023, 2023

Hybrid Models for Predicting Cryptocurrency Price Using Financial and Non-Financial Indicators.

Tulika Shrivastava, Basem Suleiman, Muhammad Johan Alibasa

Proceedings of the Data Science and Machine Learning, 2023

Cloud Resources Usage Prediction Using Deep Learning Models.

Muhammad Johan Alibasa, Basem Suleiman, Abubakar Bello, Ali Anaissi, Qijing Yan, Shulei Chen

Proceedings of the 2023 International Conference on Advances in Computing Research, 2023

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

Feature Encoding by Location-Enhanced Word2Vec Embedding for Human Activity Recognition in Smart Homes.

Junhao Zhao, Basem Suleiman, Muhammad Johan Alibasa

Proceedings of the Mobile and Ubiquitous Systems: Computing, Networking and Services, 2022

FedGroup: A Federated Learning Approach for Anomaly Detection in IoT Environments.

Yixuan Zhang, Basem Suleiman, Muhammad Johan Alibasa

Proceedings of the Mobile and Ubiquitous Systems: Computing, Networking and Services, 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

Proceedings of the Mobile and Ubiquitous Systems: Computing, Networking and Services, 2022

Multi-contextual Recommender Using 3D Latent Factor Models and Online Tensor Decomposition.

Basem Suleiman, Ali Anaissi, Muhammad Johan Alibasa, Harrison Truong

Proceedings of the Computational Science - ICCS 2022, 2022

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

Proceedings of the 2022 IEEE World AI IoT Congress (AIIoT), 2022

2021

Intelligent Failure Prediction in Industrial Vehicles.

Basem Suleiman, Ali Anaissi, Bochao Zhan, Muhammad Johan Alibasa

Proceedings of the International Joint Conference on Neural Networks, 2021

DeepPatterns: Predicting Mobile Apps Usage from Spatio-Temporal and Contextual Features.

Basem Suleiman, Kevin Lu, Hong Wa Chan, Muhammad Johan Alibasa

Proceedings of the Service-Oriented Computing - 19th International Conference, 2021

2019

Sequential Pattern Mining Suggests Wellbeing Supportive Behaviors.

Muhammad Johan Alibasa, Rafael A. Calvo, Kalina Yacef

IEEE Access, 2019

Supporting Mood Introspection from Digital Footprints.

Muhammad Johan Alibasa, Rafael A. Calvo

Proceedings of the 8th International Conference on Affective Computing and Intelligent Interaction, 2019