Sajad Mousavi
Orcid: 0000-0002-3806-8487
According to our database1,
Sajad Mousavi
authored at least 27 papers
between 2018 and 2024.
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Bibliography
2024
A Configurable Pythonic Data Center Model for Sustainable Cooling and ML Integration.
CoRR, 2024
Joint path planning and power allocation of a cellular-connected UAV using apprenticeship learning via deep inverse reinforcement learning.
Comput. Networks, 2024
Benchmark Generation Framework with Customizable Distortions for Image Classifier Robustness.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Robustness and Visual Explanation for Black Box Image, Video, and ECG Signal Classification with Reinforcement Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
CoRR, 2023
ECGBERT: Understanding Hidden Language of ECGs with Self-Supervised Representation Learning.
CoRR, 2023
Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Concurrent Carbon Footprint Reduction (C2FR) Reinforcement Learning Approach for Sustainable Data Center Digital Twin.
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023
Reinforcement Learning Based Black-Box Adversarial Attack for Robustness Improvement.
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023
Proceedings of the Workshop on Artificial Intelligence Safety 2023 (SafeAI 2023) co-located with the Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023), 2023
2021
Comput. Methods Programs Biomed., 2021
2020
HAN-ECG: An interpretable atrial fibrillation detection model using hierarchical attention networks.
Comput. Biol. Medicine, 2020
An Autonomous Spectrum Management Scheme for Unmanned Aerial Vehicle Networks in Disaster Relief Operations.
IEEE Access, 2020
An Uncertainty Estimation Framework for Risk Assessment in Deep Learning-based AFib Classification.
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020
2019
Single-modal and Multi-modal False Arrhythmia Alarm Reduction using Attention-based Convolutional and Recurrent Neural Networks.
CoRR, 2019
SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach.
CoRR, 2019
Use of a quantum genetic algorithm for coalition formation in large-scale UAV networks.
Ad Hoc Networks, 2019
Inter- and Intra- Patient ECG Heartbeat Classification for Arrhythmia Detection: A Sequence to Sequence Deep Learning Approach.
Proceedings of the IEEE International Conference on Acoustics, 2019
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
ECGNET: Learning Where to Attend for Detection of Atrial Fibrillation with Deep Visual Attention.
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019
2018
Leader-follower based coalition formation in large-scale UAV networks, a quantum evolutionary approach.
Proceedings of the IEEE INFOCOM 2018, 2018
A Feature Selection Method Based on Shapley Value to False Alarm Reduction in ICUs A Genetic-Algorithm Approach.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018