Publications

You can also find my articles on my Google Scholar profile.

Journals

• Shamsoshoara, A., Afghah, F., Razi, A., Mousavi S., Ashdown, J. and Turk, K., 2020. An Autonomous Spectrum Management Scheme for Unmanned Aerial Vehicle Networks in Disaster Relief Operations. IEEE Access, 8, pp.58064-58079. [link]
• Mousavi S., Afghah, F., & Acharya, U. R. (2020). HAN-ECG: An Interpretable Atrial Fibrillation Detection Model Using Hierarchical Attention Networks. arXiv preprint arXiv:2002.05262. [Preprint]
• Mousavi S., Fotoohinasab A., Afghah F. (2020) Single-modal and multi-modal false arrhythmia alarm reduction using attention-based convolutional and recurrent neural networks. PLoS ONE Journal 15(1): e0226990. https://doi.org/10.1371/journal.pone.0226990. [link]
  
• Mousavi S., Afghah, F., & Acharya, U. R. (2019). SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach. PloS ONE Journal, doi: 10.1371/journal.pone.0216456. [link]
  
• Mousavi S., Afghah, F., Ashdown, J. D., & Turck, K. (2019). Use of a quantum genetic algorithm for coalition formation in large-scale UAV networks. Elsevier Ad Hoc Networks Journal, 87, 26-36. [link]
  
• Mousavi S. S., Schukat, M., & Howley, E. (2017). Traffic Light Control Using Deep Policy-Gradient and Value-Function Based Reinforcement Learning. Journal of IET Intelligent Transport Systems, DOI: 10.1049/iet-its.2017.0153. [link]
  
• Habibalahi, A., Moghari, M. D., Samadian, K., Mousavi S. S., & Safizadeh, M. S. (2015). Improving pulse eddy current and ultrasonic testing stress measurement accuracy using neural network data fusion. Journal of IET Science, Measurement & Technology, 9(4), 514-521. [link]
  
• Mousavi S. S., Ghazanfari, B., Mozayani, N., & Jahed-Motlagh, M. R. (2014). Automatic abstraction controller in reinforcement learning agent via automata. Elsevier Applied Soft Computing Journal, 25, 118-128. [link]
  Moghaddam, A. P., Mousavi S. S. (2012). Learning Decision Tree Using Neural Network for Stability and Flexibility. Iranian Journal of Medical Informatics, IJMI. 1(3), 39-44. [link]

Conferences

• Mousavi S., & Afghah, F. (2019). Inter-and intra-patient ECG heartbeat classification for arrhythmia detection: a sequence to sequence deep learning approach. In ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP’19), pp. 1308-1312. [link]
  
• Mousavi S., Afghah, F., Razi, A., & Acharya, U. R. (2019). ECGNET: Learning where to attend for detection of atrial fibrillation with deep visual attention. In 2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI’19). IEEE. [link]
  
• Ghazanfari, B., Afghah, F., Najarian, K., Mousavi S., Gryak, J., Todd, J., (July 2019). An Unsupervised Feature Learning Approach to Reduce False Alarm Rate in ICUs, 41th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’19). [link]
  
• Mousavi S., Afghah, F., Ashdown, J. D., & Turck, K. (April 2018). Leader-follower based Coalition Formation in Large-scale UAV Networks, A Quantum Evolutionary Approach, INFOCOM, Workshop on Wireless Sensor, Robot, and UAV Networks (Best Paper Recognition). [link]
  
• Zaeri-Amirani, M., Afghah, F.,Mousavi S. (July 2018). A Feature Selection Method Based on Shapley Value to False Alarm Reduction in ICUs, A Genetic-Algorithm Approach, 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’18). [link]
  
• Mousavi S. S., Schukat, M. & Howley, E. (2017). Traffic Light Control Using Deep Reinforcement Learning Agent. NUIG UL 7th Postgraduate Research Day 2017. [link]
  
• Mousavi S. S., Schukat, M., Howley, E., & Mannion, P. (2017). Applying Q(λ)-learning in Deep Reinforcement Learning to Play Atari Games. Adaptive Learning Agents (ALA) Workshop at Sixteenth International Conference on Autonomous Agents and Multiagent Systems (AAMAS’17). [link]
  
• Mousavi S. S.., Schukat, M. & Howley, E. (2016). Deep Learning Methodologies in Combination with Reinforcement Learning Techniques. NUIG UL 6th Postgraduate Research Day 2016. [link]
  
• Mousavi S. S., Schukat, M., Howley, E., Borji, A., & Mozayani, N. (2016). Learning to predict where to look in interactive environments using deep recurrent q-learning. arXiv preprint arXiv:1612.05753. [link]
  
• Mousavi S. S., Schukat, M., & Howley, E. (2016, September). Deep reinforcement learning: An overview. In Proceedings of SAI Intelligent Systems Conference (pp. 426-440). Springer, Cham. [link]
  

Patents

• F. Afghah, S. Mousavi, ”Patient ECG Heartbeat Classification for Arrhythmia and AtrialFibrillation Detection”, Patent Pending, App. No.: 62801881, Jan. 2019.