Marko Orescanin

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 15

Top Topics

Pattern Recognition

Top Venues

IEEE Geosci. Remote. Sens. Lett.

Publications

Donald W. Peltier III, Isaac Kaminer, Abram H. Clark, Marko Orescanin
Swarm Characteristics Classification Using Neural Networks. CoRR (2024)
John Fischer, Marko Orescanin, Eric Eckstrand
VI-PANN: Harnessing Transfer Learning and Uncertainty-Aware Variational Inference for Improved Generalization in Audio Pattern Recognition. CoRR (2024)
John Fischer, Marko Orescanin, Justin Loomis, Patrick McClure
Federated Bayesian Deep Learning: The Application of Statistical Aggregation Methods to Bayesian Models. CoRR (2024)
Stephen Steckler, Marko Orescanin, Scott W. Powell, Pedro Ortiz, Veljko Petkovic
Scaling Uncertainty Quantification From Patches to Scenes Through Discontinuity-Aware Stitching. IEEE Geosci. Remote. Sens. Lett. 21 (2024)
John Fischer, Marko Orescanin, Eric Eckstrand
VI-PANN: Harnessing Transfer Learning and Uncertainty-Aware Variational Inference for Improved Generalization in Audio Pattern Recognition. IEEE Access 12 (2024)
Marko Orescanin, Brian Harrington, Derek Olson, Marc Geilhufe, Roy Edgar Hansen, Narada Warakagoda
A Study on the Effect of Commonly Used Data Augmentation Techniques on Sonar Image Artifact Detection Using Deep Neural Networks. IGARSS (2023)
Eleanor Casas, Pedro Ortiz, Marko Orescanin, Scott W. Powell, Malarvizhi Arulaj, Veljko Petkovic
Utilizing Quantified Uncertainty in Synthetic Microwave Brightness Temperatures to Reveal Hidden Tropical Cyclone Structures. IGARSS (2023)
Marko Orescanin, Leslie N. Smith, Saurabh Sahu, Palash Goyal, Sujit Rokka Chhetri
Editorial: Deep learning with limited labeled data for vision, audio, and text. Frontiers Artif. Intell. 6 (2023)
Pedro Ortiz, Eleanor Casas, Marko Orescanin, Scott W. Powell, Veljko Petkovic
Improving Deep Learning for Remote Sensing Research through a Bayesian Approach with Uncertainty Decomposition. IGARSS (2023)
Marko Orescanin, Veljko Petkovic, Scott W. Powell, Benjamin R. Marsh, Sean C. Heslin
Bayesian Deep Learning for Passive Microwave Precipitation Type Detection. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
James Bret Michael, Marko Orescanin
Developing and Deploying Artificial Intelligence Systems. Computer 55 (6) (2022)
Pedro Ortiz, Marko Orescanin, Veljko Petkovic, Scott W. Powell, Benjamin R. Marsh
Decomposing Satellite-Based Classification Uncertainties in Large Earth Science Datasets. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Marko Orescanin, Mehmet Ergezer, Gurminder Singh, Matthew Baxter
Federated Fine-Tuning Performance on Edge Devices. ICMLA (2021)
Jason Henry, Mehmet Ergezer, Marko Orescanin
Perceptually Constrained Fast Adversarial Audio Attacks. ICMLA (2021)
Nathan Thiem, Marko Orescanin, James Bret Michael
Reducing Artifacts in GAN Audio Synthesis. ICMLA (2020)