| Generative probabilistic novelty detection with adversarial autoencoders S Pidhorskyi, R Almohsen, G Doretto Advances in neural information processing systems 31, 2018 | 366 | 2018 |
| Online human interaction detection and recognition with multiple cameras S Motiian, F Siyahjani, R Almohsen, G Doretto IEEE transactions on Circuits and Systems for Video Technology 27 (3), 649-663, 2016 | 43 | 2016 |
| Adaptation of a deep learning malignancy model from full-field digital mammography to digital breast tomosynthesis S Singh, TP Matthews, M Shah, B Mombourquette, T Tsue, A Long, ... Medical Imaging 2020: Computer-Aided Diagnosis 11314, 25-32, 2020 | 22 | 2020 |
| A supervised low-rank method for learning invariant subspaces F Siyahjani, R Almohsen, S Sabri, G Doretto Proceedings of the IEEE International Conference on Computer Vision, 4220-4228, 2015 | 14 | 2015 |
| Generative probabilistic novelty detection with isometric adversarial autoencoders R Almohsen, MR Keaton, DA Adjeroh, G Doretto Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 12 | 2022 |
| A Robust Likelihood Model for Novelty Detection R Almohsen, S Patel, DA Adjeroh, G Doretto arXiv preprint arXiv:2306.03331, 2023 | 1 | 2023 |
| Learning Representations for Novelty and Anomaly Detection R Almohsen West Virginia University, 2023 | | 2023 |
| Integer Programming Models: Constructing an Index Fund R Almohsen | | 2015 |
| Human Interaction Recognition with Audio and Visual Cues R Almohsen | | 2014 |
| Open-set Recognition with Adversarial Autoencoders R Almohsen, S Pidhorskyi, G Doretto | | |
| A Supervised Low-rank Method for Learning Invariant Subspaces FSR Almohsen, SSG Doretto | | |
