Comprehensive evaluation of deep learning architectures for prediction of DNA/RNA sequence binding specificities A Trabelsi, M Chaabane, A Ben-Hur Bioinformatics 35, i269-i277, 2019 | 141 | 2019 |
Deft: Detection embeddings for tracking M Chaabane, P Zhang, JR Beveridge, S O'Hara arXiv preprint arXiv:2102.02267, 2021 | 82 | 2021 |
Looking ahead: Anticipating pedestrians crossing with future frames prediction M Chaabane, A Trabelsi, N Blanchard, R Beveridge Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020 | 58 | 2020 |
circDeep: deep learning approach for circular RNA classification from other long non-coding RNA M Chaabane, RM Williams, AT Stephens, JW Park Bioinformatics 36 (1), 73-80, 2020 | 53 | 2020 |
A pose proposal and refinement network for better 6d object pose estimation A Trabelsi, M Chaabane, N Blanchard, R Beveridge Proceedings of the IEEE/CVF winter conference on applications of computer …, 2021 | 32 | 2021 |
seekCRIT: detecting and characterizing differentially expressed circular RNAs using high-throughput sequencing data M Chaabane, K Andreeva, JY Hwang, TL Kook, JW Park, NGF Cooper PLOS Computational Biology 16 (10), e1008338, 2020 | 17 | 2020 |
End-to-end learning improves static object geo-localization from video M Chaabane, L Gueguen, A Trabelsi, R Beveridge, S O'Hara Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021 | 12* | 2021 |
End-to-end learning framework for circular RNA classification from other long non-coding RNAs using multi-modal deep learning. M Chaabane | 5 | 2018 |
Circular RNA Detection from High-throughput Sequencing M Chaabane, EC Rouchka, JW Park Proceedings of the International Conference on Research in Adaptive and …, 2017 | 4 | 2017 |
Learned perception systems for self-driving vehicles M Chaabane Colorado State University, 2022 | 1 | 2022 |