Search Results for author: Michael Pekala

Found 4 papers, 0 papers with code

Evaluating the diversity and utility of materials proposed by generative models

no code implementations9 Aug 2023 Alexander New, Michael Pekala, Elizabeth A. Pogue, Nam Q. Le, Janna Domenico, Christine D. Piatko, Christopher D. Stiles

Generative machine learning models can use data generated by scientific modeling to create large quantities of novel material structures.

Property Prediction

Adversarial Examples in Remote Sensing

no code implementations28 May 2018 Wojciech Czaja, Neil Fendley, Michael Pekala, Christopher Ratto, I-Jeng Wang

This paper considers attacks against machine learning algorithms used in remote sensing applications, a domain that presents a suite of challenges that are not fully addressed by current research focused on natural image data such as ImageNet.

Satellite Image Classification

VESICLE: Volumetric Evaluation of Synaptic Interfaces using Computer vision at Large Scale

no code implementations14 Mar 2014 William Gray Roncal, Michael Pekala, Verena Kaynig-Fittkau, Dean M. Kleissas, Joshua T. Vogelstein, Hanspeter Pfister, Randal Burns, R. Jacob Vogelstein, Mark A. Chevillet, Gregory D. Hager

An open challenge problem at the forefront of modern neuroscience is to obtain a comprehensive mapping of the neural pathways that underlie human brain function; an enhanced understanding of the wiring diagram of the brain promises to lead to new breakthroughs in diagnosing and treating neurological disorders.

object-detection Object Detection

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