Mojtaba Taherisadr
Orcid: 0000-0001-5534-5776
According to our database1,
Mojtaba Taherisadr
authored at least 17 papers
between 2017 and 2024.
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Bibliography
2024
IEEE Internet Things J., April, 2024
PAPER-HILT: Personalized and Adaptive Privacy-Aware Early-Exit for Reinforcement Learning in Human-in-the-Loop Systems.
CoRR, 2024
Proceedings of the 15th ACM/IEEE International Conference on Cyber-Physical Systems, 2024
2023
FAIRO: Fairness-aware Adaptation in Sequential-Decision Making for Human-in-the-Loop Systems.
CoRR, 2023
adaPARL: Adaptive Privacy-Aware Reinforcement Learning for Sequential Decision Making Human-in-the-Loop Systems.
Proceedings of the 8th ACM/IEEE Conference on Internet of Things Design and Implementation, 2023
2021
Proceedings of the 22nd International Symposium on Quality Electronic Design, 2021
2019
EEG Signal Dimensionality Reduction and Classification using Tensor Decomposition and Deep Convolutional Neural Networks.
Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019
Proceedings of the Advances in Body Area Networks I, 2019
Motion-Based Gait Identification Using Spectro-temporal Transform and Convolutional Neural Networks.
Proceedings of the Advances in Body Area Networks I, 2019
EEG Based Driver Inattention Identification via Feature Profiling and Dimensionality Reduction.
Proceedings of the Advances in Body Area Networks I, 2019
Proceedings of the Advances in Body Area Networks I, 2019
2018
Wearable Driver Distraction Identification On-The-Road via Continuous Decomposition of Galvanic Skin Responses.
Sensors, 2018
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018
Driver Distraction Detection using MEL Cepstrum Representation of Galvanic Skin Responses and Convolutional Neural Networks.
Proceedings of the 24th International Conference on Pattern Recognition, 2018
2017
Single Channel EEG Artifact Identification Using Two-Dimensional Multi-Resolution Analysis.
Sensors, 2017
IMU-Based Gait Recognition Using Convolutional Neural Networks and Multi-Sensor Fusion.
Sensors, 2017