Sajad Mousavi

According to our database, Sajad Mousavi authored at least 25 papers between 2018 and 2024.

Collaborative distances:

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

2024

Benchmark Generation Framework with Customizable Distortions for Image Classifier Robustness.

Soumyendu Sarkar, Ashwin Ramesh Babu, Sajad Mousavi, Zachariah Carmichael, Vineet Gundecha, Sahand Ghorbanpour, Ricardo Luna Gutierrez, Antonio Guillen, Avisek Naug

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Sustainability of Data Center Digital Twins with Reinforcement Learning.

Soumyendu Sarkar, Avisek Naug, Antonio Guillen, Ricardo Luna Gutierrez, Vineet Gundecha, Ashwin Ramesh Babu, Sajad Mousavi

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Carbon Footprint Reduction for Sustainable Data Centers in Real-Time.

Soumyendu Sarkar, Avisek Naug, Ricardo Luna Gutierrez, Antonio Guillen, Vineet Gundecha, Sahand Ghorbanpour, Sajad Mousavi, Dejan Markovikj, Ashwin Ramesh Babu

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.

Soumyendu Sarkar, Ashwin Ramesh Babu, Sajad Mousavi, Vineet Gundecha, Avisek Naug, Sahand Ghorbanpour

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

N-Critics: Self-Refinement of Large Language Models with Ensemble of Critics.

Sajad Mousavi, Ricardo Luna Gutiérrez, Desik Rengarajan, Vineet Gundecha, Ashwin Ramesh Babu, Avisek Naug, Antonio Guillen, Soumyendu Sarkar

CoRR, 2023

Joint Path planning and Power Allocation of a Cellular-Connected UAV using Apprenticeship Learning via Deep Inverse Reinforcement Learning.

Alireza Shamsoshoara, Fatemeh Lotfi, Sajad Mousavi, Fatemeh Afghah, Ismail Güvenç

CoRR, 2023

ECGBERT: Understanding Hidden Language of ECGs with Self-Supervised Representation Learning.

Seokmin Choi, Sajad Mousavi, Phillip Si, Haben G. Yhdego, Fatemeh Khadem, Fatemeh Afghah

CoRR, 2023

PyDCM: Custom Data Center Models with Reinforcement Learning for Sustainability.

Avisek Naug, Antonio Guillen, Ricardo Luna Gutiérrez, Vineet Gundecha, Sahand Ghorbanpour, Lekhapriya Dheeraj Kashyap, Dejan Markovikj, Lorenz Krause, Sajad Mousavi, Ashwin Ramesh Babu, Soumyendu Sarkar

Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, 2023

RL-CAM: Visual Explanations for Convolutional Networks using Reinforcement Learning.

Soumyendu Sarkar, Ashwin Ramesh Babu, Sajad Mousavi, Sahand Ghorbanpour, Vineet Gundecha, Antonio Guillen, Ricardo Luna Gutierrez, Avisek Naug

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Robustness with Query-efficient Adversarial Attack using Reinforcement Learning.

Soumyendu Sarkar, Ashwin Ramesh Babu, Sajad Mousavi, Sahand Ghorbanpour, Vineet Gundecha, Antonio Guillen, Ricardo Luna Gutierrez, Avisek Naug

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.

Soumyendu Sarkar, Avisek Naug, Antonio Guillen, Ricardo Luna Gutierrez, Sahand Ghorbanpour, Sajad Mousavi, Ashwin Ramesh Babu, Vineet Gundecha

Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

Reinforcement Learning Based Black-Box Adversarial Attack for Robustness Improvement.

Soumyendu Sarkar, Ashwin Ramesh Babu, Sajad Mousavi, Sahand Ghorbanpour, Vineet Gundecha, Ricardo Luna Gutierrez, Antonio Guillen, Avisek Naug

Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

Robustness with Black-Box Adversarial Attack using Reinforcement Learning.

Soumyendu Sarkar, Ashwin Ramesh Babu, Sajad Mousavi, Vineet Gundecha, Sahand Ghorbanpour, Alexander Shmakov, Ricardo Luna Gutierrez, Antonio Guillen, Avisek Naug

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

ECG Language processing (ELP): A new technique to analyze ECG signals.

Sajad Mousavi, Fatemeh Afghah, Fatemeh Khadem, U. Rajendra Acharya

Comput. Methods Programs Biomed., 2021

2020

HAN-ECG: An interpretable atrial fibrillation detection model using hierarchical attention networks.

Sajad Mousavi, Fatemeh Afghah, U. Rajendra Acharya

Comput. Biol. Medicine, 2020

An Autonomous Spectrum Management Scheme for Unmanned Aerial Vehicle Networks in Disaster Relief Operations.

Alireza Shamsoshoara, Fatemeh Afghah, Abolfazl Razi, Sajad Mousavi, Jonathan D. Ashdown, Kurt A. Turck

IEEE Access, 2020

An Uncertainty Estimation Framework for Risk Assessment in Deep Learning-based AFib Classification.

James Belen, Sajad Mousavi, Alireza Shamsoshoara, Fatemeh Afghah

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.

Sajad Mousavi, Atiyeh Fotoohinasab, Fatemeh Afghah

CoRR, 2019

SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach.

Sajad Mousavi, Fatemeh Afghah, U. Rajendra Acharya

CoRR, 2019

Use of a quantum genetic algorithm for coalition formation in large-scale UAV networks.

Sajad Mousavi, Fatemeh Afghah, Jonathan D. Ashdown, Kurt A. Turck

Ad Hoc Networks, 2019

Inter- and Intra- Patient ECG Heartbeat Classification for Arrhythmia Detection: A Sequence to Sequence Deep Learning Approach.

Sajad Mousavi, Fatemeh Afghah

Proceedings of the IEEE International Conference on Acoustics, 2019

An Unsupervised Feature Learning Approach to Reduce False Alarm Rate in ICUs.

Behzad Ghazanfari, Fatemeh Afghah, Kayvan Najarian, Sajad Mousavi, Jonathan Gryak, James Todd

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.

Sajad Mousavi, Fatemeh Afghah, Abolfazl Razi, U. Rajendra Acharya

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.

Sajad Mousavi, Fatemeh Afghah, Jonathan D. Ashdown, Kurt A. Turck

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.

Mohammad Zaeri-Amirani, Fatemeh Afghah, Sajad Mousavi

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018