Domain Adaptation for Car Accident Detection in Videos. - Elizaveta Batanina; Imad Eddine Ibrahim Bekkouch; Adil Khan 001; Asad Masood Khattak; Mikhail Bortnikov (IPTA, 2019)

Triplet Loss Network for Unsupervised Domain Adaptation. - Imad Eddine Ibrahim Bekkouch; Youssef Youssry; Rustam Gafarov; Adil Khan 001; Asad Masood Khattak (Algorithms, 2019)

Abstraction-Based Outlier Detection for Image Data. - Kirill Yakovlev; Imad Eddine Ibrahim Bekkouch; Adil Mehmood Khan; Asad Masood Khattak (IntelliSys (1), 2020)

Dual Training for Transfer Learning: Application on Medieval Studies. - Imad Eddine Ibrahim Bekkouch; Victoria Eyharabide; Frederic Billiet (IJCNN, 2021)

Adversarial Domain Adaptation for Medieval Instrument Recognition. - Imad Eddine Ibrahim Bekkouch; Dragos Constantin Nicolae; Victoria Eyharabide; Frederic Billiet (IntelliSys (2), 2021)

Multi-agent shape models for hip landmark detection in MR scans. - Imad Eddine Ibrahim Bekkouch; Tamerlan Aidinovich; Tomaz Vrtovec; Ramil Kuleev; Bulat Ibragimov (Image Processing, 2021)

Adversarial Reconstruction Loss for Domain Generalization. - Imad Eddine Ibrahim Bekkouch; Dragos Constantin Nicolae; Adil Khan 001; S. M. Ahsan Kazmi; Asad Masood Khattak; Bulat Ibragimov (IEEE Access, 2021)

Knowledge Graph Embedding-Based Domain Adaptation for Musical Instrument Recognition. - Victoria Eyharabide; Imad Eddine Ibrahim Bekkouch; Nicolae Dragos Constantin (Comput., 2021)

What augmentations are sensitive to hyper-parameters and why? - Ch Muhammad Awais; Imad Eddine Ibrahim Bekkouch (CoRR, 2021)

Bridging the Domain Gap for Stance Detection for the Zulu Language. - Gcinizwe Dlamini; Imad Eddine Ibrahim Bekkouch; Adil Khan 001; Leon Derczynski (IntelliSys (1), 2022)

What Augmentations are Sensitive to Hyper-Parameters and Why? - Ch Muhammad Awais; Imad Eddine Ibrahim Bekkouch; Adil Mehmood Khan (SAI (1), 2022)

Few-Shot Object Detection: Application to Medieval Musicological Studies. - Bekkouch Imad Eddine Ibrahim; Victoria Eyharabide; Valérie Le Page; Frederic Billiet (J. Imaging, 2022)

Multi-landmark environment analysis with reinforcement learning for pelvic abnormality detection and quantification. - Imad Eddine Ibrahim Bekkouch; Bulat Maksudov; Semen Kiselev; Tamerlan Mustafaev; Tomaz Vrtovec; Bulat Ibragimov (Medical Image Anal., 2022)

Anomaly Detection Based on Zero-Shot Outlier Synthesis and Hierarchical Feature Distillation. - Adín Ramírez Rivera; Adil Khan 001; Imad Eddine Ibrahim Bekkouch; Taimoor Shakeel Sheikh (IEEE Trans. Neural Networks Learn. Syst., 2022)