Mubarak G. Abdu-Aguye

According to our database, Mubarak G. Abdu-Aguye authored at least 16 papers between 2018 and 2026.

Collaborative distances:

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

2026

Data-Free Contribution Estimation in Federated Learning using Gradient von Neumann Entropy.

Asim Ukaye, Mubarak G. Abdu-Aguye, Nurbek Tastan, Karthik Nandakumar

CoRR, April, 2026

An AI approach to lunar phase detection: enhancing the identification of the new crescent with astronomical data integration.

Murad Al-Rajab, Samia Loucif, Raed Abu Zitar, Mubarak G. Abdu-Aguye

Frontiers Artif. Intell., 2026

2024

Feature Map Purification for Enhancing Adversarial Robustness of Deep Timeseries Classifiers.

Mubarak G. Abdu-Aguye, Muhammad Zaigham Zaheer, Karthik Nandakumar

Proceedings of the IEEE International Conference on Data Mining, 2024

Enhancing Trust in Localization Systems: An XAI Approach.

Muhammad ElMahdy, Mubarak G. Abdu-Aguye, Hamada Rizk, Moustafa Youssef

Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems, 2024

2023

On the Effects of Filtering Methods on Adversarial Timeseries Data.

Mubarak G. Abdu-Aguye, Karthik Nandakumar

Proceedings of the 1st ACM SIGSPATIAL International Workshop on Geo-Privacy and Data Utility for Smart Societies, 2023

Recurrence-Based Disentanglement for Detecting Adversarial Attacks on Timeseries Classifiers.

Mubarak G. Abdu-Aguye, Karthik Nandakumar

Proceedings of the 31st European Signal Processing Conference, 2023

2022

Investigating strategies towards adversarially robust time series classification.

Mubarak G. Abdu-Aguye, Walid Gomaa, Yasushi Makihara, Yasushi Yagi

Pattern Recognit. Lett., 2022

2020

Massive MIMO CSI Feedback Based on Generative Adversarial Network.

Bassant Tolba, Maha Elsabrouty, Mubarak G. Abdu-Aguye, Haris Gacanin, Hossam Mohamed Kasem

IEEE Commun. Lett., 2020

Adaptive Pooling Is All You Need: An Empirical Study on Hyperparameter-insensitive Human Action Recognition Using Wearable Sensors.

Mubarak G. Abdu-Aguye, Walid Gomaa, Yasushi Makihara, Yasushi Yagi

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Improved IMU-based Human Activity Recognition using Hierarchical HMM Dissimilarity.

Sara Ashry Mohammed, Walid Gomaa, Mubarak G. Abdu-Aguye, Nahla El-borae

Proceedings of the 17th International Conference on Informatics in Control, 2020

Detecting Adversarial Attacks In Time-Series Data.

Mubarak G. Abdu-Aguye, Walid Gomaa, Yasushi Makihara, Yasushi Yagi

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Competitive Feature Extraction for Activity Recognition based on Wavelet Transforms and Adaptive Pooling.

Mubarak G. Abdu-Aguye, Walid Gomaa

Proceedings of the International Joint Conference on Neural Networks, 2019

On the Feasibility of On-body Roaming Models in Human Activity Recognition.

Mubarak G. Abdu-Aguye, Walid Gomaa, Yasushi Makihara, Yasushi Yagi

Proceedings of the 16th International Conference on Informatics in Control, 2019

Robust Human Activity Recognition based on Deep Metric Learning.

Mubarak G. Abdu-Aguye, Walid Gomaa

Proceedings of the 16th International Conference on Informatics in Control, 2019

VersaTL: Versatile Transfer Learning for IMU-based Activity Recognition using Convolutional Neural Networks.

Mubarak G. Abdu-Aguye, Walid Gomaa

Proceedings of the 16th International Conference on Informatics in Control, 2019

2018

Novel Approaches to Activity Recognition Based on Vector Autoregression and Wavelet Transforms.

Mubarak G. Abdu-Aguye, Walid Gomaa

Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018