Journal Articles

J35. Nourmohammadi, S., Yenicesu, A.S., Arashloo S.R., Oguz O.S., “Locally Adaptive One-Class Classifier Fusion with Dynamic lp-Norm Constraints for Robust Anomaly Detection”, Pattern Recognition, Elsevier, vol. 171, Part B, 112204, 2026.

J34. Safari, M.J.S., Arashloo, S.R. and Vaheddoost, B., “Signature Kernel Ridge Regression Time Series model: A novel soft computing approach for hydrological drought modeling using multi-station meteorological drought information in Aegean Region of Turkey”, Applied Soft Computing, Elsevier, vol. 178, 113343, 2025.

J33. S. Nourmohammadi, Arashloo, S.R., and Kittler, J., “lp-Norm Constrained One-Class Classifier Combination”, Information Fusion, Elsevier, vol. 114, 102700, 2025.

J32. S. Mohammad and Arashloo, S.R., “Robust One-Class Classification Using Deep Kernel Spectral Regression”, Neurocomputing, Elsevier, vol. 573, 127246, 2024.

J31. Safari, M.J.S., Arashloo, S.R. and M.K. Gargari, “lq-Norm Multiple Kernel Fusion Regression for Self-Cleansing Sediment Transport”, Artificial Intelligence Review, Springer, 57(2), 27, 2024.

J30. Arashloo, S.R., “Large-Margin Multiple Kernel lp-SVDD Using Frank-Wolfe Algorithm for Novelty Detection”, Pattern Recognition, Elsevier, vol. 148, 110189, 2024.

J29. Safari, M.J.S. and Arashloo, S.R., “Robust low-rank learning multi-output regression for sediment incipient motion in sewer pipes”, International Journal of Sediment Research, Elsevier, 2023.

J28. Arashloo, S.R., “One-Class Classification Using lp-Norm Multiple Kernel Fisher Null Approach”, Image Processing, IEEE Transactions on, vol. 32, pp. 1843- 1856, 2023.

J27. Safari, M.J.S., Arashloo, S.R. and Vaheddoost, B., “Vertical and Horizontal Water Penetration Velocity Modeling in Non-Homogenous Soil Using Fast Multi-Output Relevance Vector Regression”, Big Data, Liebert, 2023.

J26. Arashloo, S.R., “Unknown Face Presentation Attack Detection via Localised Learning of Multiple Kernels”, Information Forensics and Security, IEEE Transactions on, vol. 18, pp. 1421-1432, 2023.

J25. Safari, M.J.S., Arashloo, S.R. and Vaheddoost, B., “Multiple Kernel Fusion: A Novel Approach for Lake Water Depth Modeling”, Environmental Research, Elsevier, vol. 217, 114856, 2023.

J24. Arashloo, S.R., “lp-Norm Support Vector Data Description”, Pattern Recognition, Elsevier, vol. 132, 108930, 2022.

J23. Safari, M.J.S., Arashloo, S.R. and Vaheddoost, B., “Fast Multi-Output Relevance Vector Regression for Joint Groundwater and Lake Water Depth Modelling”, Environmental Modelling and Software, Elsevier, vol. 154, 105425, 2022.

J22. Arashloo, S.R. and Kittler, J., “Multi-Target Regression via Non-linear Output Structure Learning”, Neurocomputing, Elsevier, vol. 492, pp. 572-580, 2022.

J21. Arashloo, S.R., “Matrix-Regularised One-Class Multiple Kernel Learning for Unseen Face Presentation Attack Detection”, Information Forensics and Security, IEEE Transactions on, vol. 16, pp. 4635-4647, 2021.

J20. Arashloo, S.R., “Unseen Face Presentation Attack Detection Using Sparse One-Class Multiple Kernel Fusion Regression”, Circuits and Systems for Video Technology, IEEE Transactions on, vol. 31, no. 10, pp. 4084-4095, Oct. 2021.

J19. Safari, M.J.S. and Arashloo, S.R., “Sparse Kernel Regression Technique for Self-Cleansing Channel Design”, Advanced Engineering Informatics, Elsevier, vol. 47, 101230, 2021.

J18. Safari, M.J.S. and Arashloo, S.R., “Kernel Ridge Regression Model for Sediment Transport in Open Channel Flow”, Neural Computing and Applications, Springer, vol. 33, no. 17, pp. 11255–11271, Sep. 2021.

J17. Fatemifar, S., Arashloo, S.R., Awais, M., Kittler, J., “Client-Specific Anomaly Detection for Face Presentation Attack Detection”, Pattern Recognition, Elsevier, vol. 112, 107696, 2021.

J16. Arashloo, S.R. and Kittler, J., “Robust One-Class Kernel Spectral Regression”, Neural Networks and Learning Systems, IEEE Transactions on, vol. 32, no. 3, pp. 999-1013, Mar. 2021.

J15. Safari, M.J.S., Arashloo, S.R., Danandeh Mehr, A., “Rainfall-Runoff Modelling Through Regression in the Reproducing Kernel Hilbert Space Algorithm”, Journal of Hydrology, Elsevier, vol. 587, 125014, Aug. 2020.

J14. Arashloo, S.R., “Sparse Binarised Statistical Dynamic Features for Spatio-temporal Texture Analysis”, Signal, Image, and Video Processing, Springer, vol. 13, iss. 3, pp. 575-582, Apr. 2019.

J13. Arashloo, S.R. and Kittler, J., “An Anomaly Detection Approach to Face Spoofing Detection: A New Formulation and Evaluation Protocol”, IEEE Access, vol. 5, pp. 13868-13882, 2017.

J12. Arashloo, S.R., Amirani, M.Ch. and Noroozi, A., “Dynamic Texture Representation Using a Deep Multi-Scale Convolutional Network”, Visual Communication and Image Representation, Elsevier, vol. 43, pp. 89-97, Feb. 2017.

J11. Arashloo, S.R., “Multiscale Binarised Statistical Image Features for Symmetric Face Matching Using Multiple Descriptor Fusion Based on Class-Specific LDA”, Pattern Analysis and Applications, Springer, vol. 20, no. 1, pp. 113-126, Feb. 2017.

J10. Amirolad, A., Arashloo, S.R. and Amirani, M.Ch., “Multi-layer Local Energy Patterns for Texture Representation and Classification”, The Visual Computer, Springer, vol. 32, no. 12, pp. 1633-1644, Dec. 2016.

J9. Arashloo, S.R., “A Comparison of Deep Multilayer Networks and MRF Matching Models for Face Recognition in the Wild”, Computer Vision, IET, vol. 10, iss. 6, pp. 466-474, Sep. 2016.

J8. Arashloo, S.R., “Incorporating Higher-Order Point Distribution Model Priors into MRFs Using Convex Quadratic Programming”, Machine Vision and Applications, Springer, vol. 27, no. 6, pp. 821-832, Aug. 2016.

J7. Hamidi H., Chehel Amirani M. and Arashloo, S.R., “Local Selected Features of Dual-Tree Complex Wavelet Transform for Single Sample Face Recognition”, Image Processing, IET, vol. 9, iss. 8, pp. 716-723, 2015.

J6. Arashloo, S.R., Kittler, J. and Christmas, W., “Face Spoofing Detection Based on Multiple Descriptor Fusion Using Dynamic Multiscale Binarized Statistical Image Features”, Information Forensics and Security, IEEE Transactions on, vol. 10, no. 11, pp. 2396-2407, Nov. 2015.

J5. Arashloo, S.R. and Kittler, J., “Class-Specific Kernel Fusion of Multiple Descriptors for Face Verification Using Multiscale Binarised Statistical Image Features”, Information Forensics and Security, IEEE Transactions on, special issue on facial biometrics in the wild, vol. 9, no.12, pp. 2100-2109, Dec. 2014.

J4. Arashloo, S.R. and Kittler, J., “Dynamic Texture Recognition Using Binarised Statistical Image Features”, Multimedia, IEEE Transactions on, vol. 16, no.8, pp. 2099-2109, Dec. 2014.

J3. Arashloo, S.R. and Kittler, J., “Fast Pose Invariant Face Recognition Using Supercoupled Multi-resolution Markov Random Fields on a GPU”, Pattern Recognition Letters, Elsevier, special issue on celebrating the life and work of Maria Petrou, vol. 48, pp. 49-59, 2014.

J2. Arashloo, S.R., Kittler, J. and Christmas, W.J., “Pose-Invariant Face Recognition by Matching on Multiresolution MRFs Linked by Super-coupling Transform”, Computer Vision and Image Understanding, Elsevier, special issue on graph-based representations in computer vision, vol. 115, iss. 7, pp. 1073-1083, 2011.

J1. Arashloo, S.R. and Kittler, J., “Energy Normalization for Pose-Invariant Face Recognition Based on MRF Model Image Matching”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 33, no. 6, pp. 1274-1280, June 2011.