| 2022 | ICASSP | A Closer Look at Autoencoders for Unsupervised Anomaly Detection. | Oyebade K. Oyedotun, Djamila Aouada |
| 2022 | ICIP | Multi Label Image Classification using Adaptive Graph Convolutional Networks (ML-AGCN). | Inder Pal Singh, Enjie Ghorbel, Oyebade K. Oyedotun, Djamila Aouada |
| 2020 | ICIP | Going Deeper With Neural Networks Without Skip Connections. | Oyebade K. Oyedotun, Abd El Rahman Shabayek, Djamila Aouada, Bjrn E. Ottersten |
| 2020 | ICONIP | Why Do Deep Neural Networks with Skip Connections and Concatenated Hidden Representations Work? | Oyebade K. Oyedotun, Djamila Aouada |
| 2020 | ICPR | Revisiting the Training of Very Deep Neural Networks without Skip Connections. | Oyebade K. Oyedotun, Abd El Rahman Shabayek, Djamila Aouada, Bjrn E. Ottersten |
| 2020 | WACV | Structured Compression of Deep Neural Networks with Debiased Elastic Group LASSO. | Oyebade K. Oyedotun, Djamila Aouada, Bjrn E. Ottersten |
| 2019 | ICASSP | Learning to Fuse Latent Representations for Multimodal Data. | Oyebade K. Oyedotun, Djamila Aouada, Bjrn E. Ottersten |
| 2018 | CVPR | Highway Network Block With Gates Constraints for Training Very Deep Networks. | Oyebade K. Oyedotun, Abd El Rahman Shabayek, Djamila Aouada, Bjrn E. Ottersten |
| 2018 | ICASSP | Improving the Capacity of Very Deep Networks with Maxout Units. | Oyebade K. Oyedotun, Abd El Rahman Shabayek, Djamila Aouada, Bjrn E. Ottersten |
| 2017 | ICONIP | Training Very Deep Networks via Residual Learning with Stochastic Input Shortcut Connections. | Oyebade K. Oyedotun, Abd El Rahman Shabayek, Djamila Aouada, Bjrn E. Ottersten |