Predictive Self-Healing of Web Services Using Health Score. - Mohsen Sharifi; Somayeh Bakhtiari Ramezani; Amin Amirlatifi (J. Web Eng., 2012)

Machine Learning Algorithms in Quantum Computing: A Survey. - Somayeh Bakhtiari Ramezani; Alexander Sommers; Harish Kumar Manchukonda; Shahram Rahimi 001; Amin Amirlatifi (IJCNN, 2020)

Similarity Based Methods for Faulty Pattern Detection in Predictive Maintenance. - Somayeh Bakhtiari Ramezani; Logan Cummins; Brad Killen; Richard Carley; Shahram Rahimi 001; Maria Seale (CSCI, 2021)

A Survey of HMM-based Algorithms in Machinery Fault Prediction. - Somayeh Bakhtiari Ramezani; Brad Killen; Logan Cummins; Shahram Rahimi 001; Amin Amirlatifi; Maria Seale (SSCI, 2021)

A novel compartmental model to capture the nonlinear trend of COVID-19. - Somayeh Bakhtiari Ramezani; Amin Amirlatifi; Shahram Rahimi 001 (Comput. Biol. Medicine, 2021)

Deep representation learning: Fundamentals, Perspectives, Applications, and Open Challenges. - Kourosh Teimouri Baghaei; Amirreza Payandeh; Pooya Fayyazsanavi; Shahram Rahimi 001; Zhiqian Chen; Somayeh Bakhtiari Ramezani (CoRR, 2022)

A Comparative Study of Continual, Lifelong, and Online Supervised Learning Libraries. - Logan Cummins; Brad Killen; Somayeh Bakhtiari Ramezani; Shahram Rahimi 001; Maria Seale; Sudip Mittal (FLAIRS, 2023)

Deep Representation Learning: Fundamentals, Technologies, Applications, and Open Challenges. - Amirreza Payandeh; Kourosh Teimouri Baghaei; Pooya Fayyazsanavi; Somayeh Bakhtiari Ramezani; Zhiqian Chen; Shahram Rahimi 001 (IEEE Access, 2023)

Scalability, Explainability and Performance of Data-Driven Algorithms in Predicting the Remaining Useful Life: A Comprehensive Review. - Somayeh Bakhtiari Ramezani; Logan Cummins; Brad Killen; Richard Carley; Amin Amirlatifi; Shahram Rahimi 001; Maria Seale; Linkan Bian (IEEE Access, 2023)

Generating Synthetic Time Series Data for Cyber-Physical Systems. - Alexander Sommers; Somayeh Bakhtiari Ramezani; Logan Cummins; Sudip Mittal; Shahram Rahimi 001; Maria Seale; Joseph Jabour 001 (WF-IoT, 2024)

Explainable Predictive Maintenance: A Survey of Current Methods, Challenges and Opportunities. - Logan Cummins; Alexander Sommers; Somayeh Bakhtiari Ramezani; Sudip Mittal; Joseph Jabour 001; Maria Seale; Shahram Rahimi 001 (IEEE Access, 2024)