| 2025 | ICMLA | Language Models as Decision Support Systems for Directional Network Maneuvering. | Carlos Flores-Molina, Alex Bordetsky, Marko Orescanin |
| 2024 | ICMLA | Turn Down the Noise: Perceptually Constrained Attacks for Multi-Label Audio Classification. | Erick Capulong, Marko Orescanin, Pedro Ortiz, Patrick McClure |
| 2024 | IGARSS | Visualizing Bayesian Convolutional Neural Network Uncertainty In Coastal Images with Grad-Cam Ensembling. | Lucian Rombado, Marko Orescanin, Mara Orescanin |
| 2024 | IGARSS | Beyond Mean Squared Error: Alternative Loss Functions for Geoscience Image Regression with Neural Networks. | Stephen Steckler, Marko Orescanin, Pedro Ortiz, Veljko Petkovic |
| 2023 | IGARSS | A Study on the Effect of Commonly Used Data Augmentation Techniques on Sonar Image Artifact Detection Using Deep Neural Networks. | Marko Orescanin, Brian Harrington, Derek Olson, Marc Geilhufe, Roy Edgar Hansen, Narada Warakagoda |
| 2023 | IGARSS | Improving Deep Learning for Remote Sensing Research through a Bayesian Approach with Uncertainty Decomposition. | Pedro Ortiz, Eleanor Casas, Marko Orescanin, Scott W. Powell, Veljko Petkovic |
| 2023 | IGARSS | Utilizing Quantified Uncertainty in Synthetic Microwave Brightness Temperatures to Reveal Hidden Tropical Cyclone Structures. | Eleanor Casas, Pedro Ortiz, Marko Orescanin, Scott W. Powell, Malarvizhi Arulaj, Veljko Petkovic |
| 2021 | ICMLA | Perceptually Constrained Fast Adversarial Audio Attacks. | Jason Henry, Mehmet Ergezer, Marko Orescanin |
| 2021 | ICMLA | Federated Fine-Tuning Performance on Edge Devices. | Marko Orescanin, Mehmet Ergezer, Gurminder Singh, Matthew Baxter |
| 2020 | ICMLA | Reducing Artifacts in GAN Audio Synthesis. | Nathan Thiem, Marko Orescanin, James Bret Michael |