| 2024 | IJCNN | Dynamic Continual Learning: Harnessing Parameter Uncertainty for Improved Network Adaptation. | Christopher Angelini, Nidhal C. Bouaynaya |
| 2023 | IJCNN | Boosting Aerial Object Detection Performance via Virtual Reality Data and Multi-Object Training. | Nikolas Koutsoubis, Kyle Naddeo, Garrett Williams, George D. Lecakes, Gregory Ditzler, Nidhal C. Bouaynaya, Thomas Kiel |
| 2023 | ISCC | The Importance of Robust Features in Mitigating Catastrophic Forgetting. | Hikmat Khan, Nidhal C. Bouaynaya, Ghulam Rasool |
| 2023 | ISCC | A Deep Learning Approach For Airport Runway Detection and Localization From Satellite Imagery. | Amine Khelifi, Mahmut Gemici, Giuseppina Carannante, Charles Cliff Johnson, Nidhal C. Bouaynaya |
| 2022 | FUSION | Self-Assessment and Robust Anomaly Detection with Bayesian Deep Learning. | Giuseppina Carannante, Dimah Dera, Orune Aminul, Nidhal C. Bouaynaya, Ghulam Rasool |
| 2021 | FUSION | An Enhanced Particle Filter for Uncertainty Quantification in Neural Networks. | Giuseppina Carannante, Nidhal C. Bouaynaya, Lyudmila Mihaylova |
| 2020 | IJCNN | Using Deep Speech Recognition to Evaluate Speech Enhancement Methods. | Shamoon Siddiqui, Ghulam Rasool, Ravi Prakash Ramachandran, Nidhal C. Bouaynaya |
| 2020 | IJCNN | Bayesian Neural Networks Uncertainty Quantification with Cubature Rules. | Peng Wang, Nidhal C. Bouaynaya, Lyudmila Mihaylova, Jikai Wang, Qibin Zhang, Renke He |
| 2019 | ICASSP | Introducing Undergraduates to Pattern Recognition and Machine Learning through Speech Processing. | Ravi Prakash Ramachandran, Kevin D. Dahm, Nidhal C. Bouaynaya |
| 2018 | IJCNN | Nonlinear Brain Tumor Model Estimation with Long Short-Term Memory Neural Networks. | Jiashu Guo, Zhengzhong Liang, Gregory Ditzler, Nidhal C. Bouaynaya, Elizabeth Y. Scribner, Hassan M. Fathallah-Shaykh |
| 2018 | IJCNN | Inverted Cone Convolutional Neural Network For Deboning MRIs. | Oliver Palumbo, Dimah Dera, Nidhal C. Bouaynaya, Hassan M. Fathallah-Shaykh |