Marko Orescanin

25 papers C 10Journal 14
YearRankTypeTitle / Venue / Authors
2025 C conf
Language Models as Decision Support Systems for Directional Network Maneuvering.
ICMLA
Carlos Flores-Molina, Alex Bordetsky, Marko Orescanin
2025 J jnl
Swarm Characteristic Classification Using Robust Neural Networks With Optimized Controllable Inputs.
IEEE Trans. Aerosp. Electron. Syst.
Donald W. Peltier III, Isaac Kaminer, Abram H. Clark, Marko Orescanin
2025 J jnl
Swarm Characteristic Classification using Robust Neural Networks with Optimized Controllable Inputs.
CoRR
Donald W. Peltier III, Isaac Kaminer, Abram H. Clark, Marko Orescanin
2025 J jnl
Swarm Characteristics Classification Using Neural Networks.
IEEE Trans. Aerosp. Electron. Syst.
Donald W. Peltier III, Isaac Kaminer, Abram H. Clark, Marko Orescanin
2024 C conf
Beyond Mean Squared Error: Alternative Loss Functions for Geoscience Image Regression with Neural Networks.
IGARSS
Stephen Steckler, Marko Orescanin, Pedro Ortiz, Veljko Petkovic
2024 J jnl
Federated Bayesian Deep Learning: The Application of Statistical Aggregation Methods to Bayesian Models.
IEEE Access
John Fischer, Marko Orescanin, Justin Loomis, Patrick McClure
2024 J jnl
Federated Bayesian Deep Learning: The Application of Statistical Aggregation Methods to Bayesian Models.
CoRR
John Fischer, Marko Orescanin, Justin Loomis, Patrick McClure
2024 J jnl
Scaling Uncertainty Quantification From Patches to Scenes Through Discontinuity-Aware Stitching.
IEEE Geosci. Remote. Sens. Lett.
Stephen Steckler, Marko Orescanin, Scott W. Powell, Pedro Ortiz, Veljko Petkovic
2024 J jnl
Swarm Characteristics Classification Using Neural Networks.
CoRR
Donald W. Peltier III, Isaac Kaminer, Abram H. Clark, Marko Orescanin
2024 C conf
Turn Down the Noise: Perceptually Constrained Attacks for Multi-Label Audio Classification.
ICMLA
Erick Capulong, Marko Orescanin, Pedro Ortiz, Patrick McClure
2024 J jnl
Uncertainty-Aware Aerial Coastal Imagery Pattern Recognition Through Transfer Learning With ImageNet-1K Variational Embeddings.
IEEE Access
Lucian Rombado, Marko Orescanin, Mara M. Orescanin
2024 J jnl
VI-PANN: Harnessing Transfer Learning and Uncertainty-Aware Variational Inference for Improved Generalization in Audio Pattern Recognition.
IEEE Access
John Fischer, Marko Orescanin, Eric Eckstrand
2024 J jnl
VI-PANN: Harnessing Transfer Learning and Uncertainty-Aware Variational Inference for Improved Generalization in Audio Pattern Recognition.
CoRR
John Fischer, Marko Orescanin, Eric Eckstrand
2024 C conf
Visualizing Bayesian Convolutional Neural Network Uncertainty In Coastal Images with Grad-Cam Ensembling.
IGARSS
Lucian Rombado, Marko Orescanin, Mara Orescanin
2023 C conf
A Study on the Effect of Commonly Used Data Augmentation Techniques on Sonar Image Artifact Detection Using Deep Neural Networks.
IGARSS
Marko Orescanin, Brian Harrington, Derek Olson, Marc Geilhufe, Roy Edgar Hansen, Narada Warakagoda
2023 J jnl
Editorial: Deep learning with limited labeled data for vision, audio, and text.
Frontiers Artif. Intell.
Marko Orescanin, Leslie N. Smith, Saurabh Sahu, Palash Goyal, Sujit Rokka Chhetri
2023 C conf
Improving Deep Learning for Remote Sensing Research through a Bayesian Approach with Uncertainty Decomposition.
IGARSS
Pedro Ortiz, Eleanor Casas, Marko Orescanin, Scott W. Powell, Veljko Petkovic
2023 C conf
Utilizing Quantified Uncertainty in Synthetic Microwave Brightness Temperatures to Reveal Hidden Tropical Cyclone Structures.
IGARSS
Eleanor Casas, Pedro Ortiz, Marko Orescanin, Scott W. Powell, Malarvizhi Arulaj, Veljko Petkovic
2022 J jnl
Bayesian Deep Learning for Passive Microwave Precipitation Type Detection.
IEEE Geosci. Remote. Sens. Lett.
Marko Orescanin, Veljko Petkovic, Scott W. Powell, Benjamin R. Marsh, Sean C. Heslin
2022 J jnl
Decomposing Satellite-Based Classification Uncertainties in Large Earth Science Datasets.
IEEE Trans. Geosci. Remote. Sens.
Pedro Ortiz, Marko Orescanin, Veljko Petkovic, Scott W. Powell, Benjamin R. Marsh
2022 J jnl
Developing and Deploying Artificial Intelligence Systems.
Computer
James Bret Michael, Marko Orescanin
2021 C conf
Federated Fine-Tuning Performance on Edge Devices.
ICMLA
Marko Orescanin, Mehmet Ergezer, Gurminder Singh, Matthew Baxter
2021 C conf
Perceptually Constrained Fast Adversarial Audio Attacks.
ICMLA
Jason Henry, Mehmet Ergezer, Marko Orescanin
2020 C conf
Reducing Artifacts in GAN Audio Synthesis.
ICMLA
Nathan Thiem, Marko Orescanin, James Bret Michael
2010 — —
Complex shear modulus reconstruction using ultrasound shear-wave imaging
Marko Orescanin