PUBLICATIONS
Ph.D. Thesis: “Subspace Support Vector Data Description and Extensions.” Fahad Sohrab, Ph.D. Thesis, 2022.
Thesis Supervisors: Professor Moncef Gabbouj and Dr. Jenni Raitoharju
Thesis Supervisors: Dr. Moncef Gabbouj & Dr. Jenni Raitoharju
MS Thesis
“Railway vehicle detection from audio recordings using one-class classification” Fahad Sohrab EE, M.Sc. Thesis, 2015.
Thesis Supervisor: Dr. Hakan Erdogan
PUBLICATIONS
Khan, T., Sohrab, F., Michalas, A., & Gabbouj, M. (2024). Trustworthiness of X Users: A One-Class Classification Approach. arXiv preprint arXiv:2402.02066. (Accepted at: AINA-2024)
Sohrab, F., Laakom, F., & Gabbouj, M. (2023, December). Newton Method-based Subspace Support Vector Data Description. In 2023 IEEE Symposium Series on Computational Intelligence (SSCI) (pp. 1372-1379). IEEE.
Guidry, J., Sohrab, F., Gottumukkala, R., Katragadda, S., & Gabbouj, M. (2023, December). One-Class Classification for Intrusion Detection on Vehicular Networks. In 2023 IEEE Symposium Series on Computational Intelligence (SSCI) (pp. 1176-1182). IEEE.
Zaffar, Z., Sohrab, F., Kanniainen, J., & Gabbouj, M. (2023, December). Credit Card Fraud Detection with Subspace Learning-based One-Class Classification. In 2023 IEEE Symposium Series on Computational Intelligence (SSCI) (pp. 407-412). IEEE.
Kemell, K. K., Vakkuri, V., & Sohrab, F. (2023). How Do AI Ethics Principles Work? From Process to Product Point of View. In Conference on Technology Ethics, Tethics (pp. 24-38). CEUR-WS.
Devecioglu, O., Ahishali, M., Sohrab, F., Ince, T., & Gabbouj, M. (2023). Improved Active Fire Detection Using Operational U-nets. In Photonics & Electromagnetics Research Symposium (PIERS), Prague, Czech Republic, 2023, pp. 692-697
Kilickaya, S., Ahishali, M., Sohrab, F., Ince, T., & Gabbouj, M. (2023). Hyperspectral Image Analysis with Subspace Learning-based One-Class Classification. In Photonics & Electromagnetics Research Symposium (PIERS), Prague, Czech Republic, 2023, pp. 953-959
Sohrab, F., Iosifidis, A., Gabbouj, M., & Raitoharju, J. (2023). Graph-embedded subspace support vector data description. Pattern Recognition, 133, 108999.
Degerli, A., Sohrab, F., Kiranyaz, S., & Gabbouj, M. (2022, September). Early Myocardial Infarction Detection with One-Class Classification over Multi-view Echocardiography. In 2022 Computing in Cardiology (CinC) (Vol. 498, pp. 1-4). IEEE.
Zhang, K., Wang, B., Wang, W., Sohrab, F., Gabbouj, M., & Kuo, C. C. J. (2021, December). Anomalyhop: an ssl-based image anomaly localization method. In 2021 International Conference on Visual Communications and Image Processing (VCIP) (pp. 1-5). IEEE.
Sohrab, F., Raitoharju, J., Iosifidis, A., & Gabbouj, M. (2021). Multimodal subspace support vector data description. Pattern Recognition, 110, 107648.
Sohrab, F., & Raitoharju, J. (2020, December). Boosting rare benthic macroinvertebrates taxa identification with one-class classification. In 2020 IEEE Symposium Series on Computational Intelligence (SSCI) (pp. 928-933). IEEE.
Sohrab, F., Raitoharju, J., & Gabbouj, M. (2020, September). Facial expression based satisfaction index for empathic buildings. In Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers (pp. 704-707).
Sohrab, F., Raitoharju, J., Iosifidis, A., & Gabbouj, M. (2020). Ellipsoidal subspace support vector data description. IEEE Access, 8, 122013-122025.
Sohrab, F., Raitoharju, J., Gabbouj, M., & Iosifidis, A. (2018, August). Subspace support vector data description. In 2018 24th International Conference on Pattern Recognition (ICPR) (pp. 722-727). IEEE.
Sohrab, F., & Erdogan, H. (2015, August). Recognize and separate approach for speech denoising using nonnegative matrix factorization. In 2015 23rd European Signal Processing Conference (EUSIPCO) (pp. 1083-1087). IEEE.
arXiv / Paper(s) under review
Hosseini, M., Sohrab, F., Gottumukkala, R., Bhupatiraju, R. T., Katragadda, S., Raitoharju, J., Iosifidis, A., & Gabbouj, M. (2022). EmpathicSchool: A multimodal dataset for real-time facial expressions and physiological data analysis under different stress conditions. ArXiv. /abs/2209.13542
Laakom, F., Sohrab, F., Raitoharju, J., Iosifidis, A., & Gabbouj, M. (2023). Convolutional autoencoder-based multimodal one-class classification. ArXiv. /abs/2309.14090
Zahid, M. U., Degerli, A., Sohrab, F., Kiranyaz, S., & Gabbouj, M. (2024). Refining Myocardial Infarction Detection: A Novel Multi-Modal Composite Kernel Strategy in One-Class Classification. ArXiv. /abs/2402.06530