Michael J. Pekala

According to our database, Michael J. Pekala authored at least 20 papers between 2002 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Self-supervised learning for crystal property prediction via denoising.

Alexander New, Nam Q. Le, Michael J. Pekala, Christopher D. Stiles

CoRR, 2024

2023

Evaluating the diversity and utility of materials proposed by generative models.

Alexander New, Michael J. Pekala, Elizabeth A. Pogue, Nam Q. Le, Janna Domenico, Christine D. Piatko, Christopher D. Stiles

CoRR, 2023

2022

Curvature-informed multi-task learning for graph networks.

Alexander New, Michael J. Pekala, Nam Q. Le, Janna Domenico, Christine D. Piatko, Christopher D. Stiles

CoRR, 2022

2021

Maximal function pooling with applications.

Wojciech Czaja, Weilin Li, Yiran Li, Michael J. Pekala

CoRR, 2021

2019

Deep learning based retinal OCT segmentation.

Michael J. Pekala, Neil Joshi, T. Y. Alvin Liu, Neil M. Bressler, Delia Cabrera DeBuc, Philippe Burlina

Comput. Biol. Medicine, 2019

2018

Deep Learning based Retinal OCT Segmentation.

Michael J. Pekala, Neil Joshi, David E. Freund, Neil M. Bressler, Delia Cabrera DeBuc, Philippe M. Burlina

CoRR, 2018

Adversarial examples in remote sensing.

Wojciech Czaja, Neil Fendley, Michael J. Pekala, Christopher Ratto, I-Jeng Wang

Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2018

OCT Segmentation via Deep Learning: A Review of Recent Work.

Michael J. Pekala, Neil Joshi, T. Y. Alvin Liu, Neil M. Bressler, Delia Cabrera DeBuc, Philippe Burlina

Proceedings of the Computer Vision - ACCV 2018 Workshops, 2018

2017

A Hybrid Approach for Incorporating Deep Visual Features and Side Channel Information with Applications to AMD Detection.

Arnaldo Horta, Neil Joshi, Michael J. Pekala, Katia D. Pacheco, Jun Kong, Neil M. Bressler, David E. Freund, Philippe Burlina

Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

2015

An Automated Images-to-Graphs Framework for High Resolution Connectomics.

William R. Gray Roncal, Dean M. Kleissas, Joshua T. Vogelstein, Priya Manavalan, Kunal Lillaney, Michael J. Pekala, Randal C. Burns, R. Jacob Vogelstein, Carey E. Priebe, Mark A. Chevillet, Gregory D. Hager

Frontiers Neuroinformatics, 2015

VESICLE: Volumetric Evaluation of Synaptic Inferfaces using Computer Vision at Large Scale.

William R. Gray Roncal, Michael J. Pekala, Verena Kaynig-Fittkau, Dean M. Kleissas, Joshua T. Vogelstein, Hanspeter Pfister, Randal C. Burns, R. Jacob Vogelstein, Mark A. Chevillet, Gregory D. Hager

Proceedings of the British Machine Vision Conference 2015, 2015

2014

Conformal predictors for online track classification.

Michael J. Pekala, I-Jeng Wang, Ashley J. Llorens

Proceedings of the IEEE International Conference on Acoustics, 2014

2012

Local distance metric learning for efficient conformal predictors.

Michael J. Pekala, Ashley J. Llorens, I-Jeng Wang

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Exploiting adaptive beamforming for compressive measurements.

Matthew D. Sharp, Michael J. Pekala, Jeffrey A. Nanzer, I-Jeng Wang, Dennis Lucarelli, Keir Christian Lauritzen

Proceedings of the IEEE 7th Sensor Array and Multichannel Signal Processing Workshop, 2012

2011

Online learning with minority class resampling.

Michael J. Pekala, Ashley J. Llorens

Proceedings of the IEEE International Conference on Acoustics, 2011

Reconfiguring connected resource distribution systems.

Paul Rosendall, Michael J. Pekala, David H. Scheidt

Proceedings of the IEEE Symposium on Computational Intelligence in Control and Automation, 2011

2009

Social Relationship Identification: An Example of Social Query.

Christopher P. Diehl, Jaime Montemayor, Michael J. Pekala

Proceedings of the 12th IEEE International Conference on Computational Science and Engineering, 2009

2008

Interactive poster - SocialRank: An ego- and time-centric workflow for relationship identification.

Jaime Montemayor, Christopher P. Diehl, Michael J. Pekala, David Patrone

Proceedings of the 3rd IEEE Symposium on Visual Analytics Science and Technology, 2008

2004

Integrating Multi-Agent Systems: A Case Study.

Francisco P. Maturana, Raymond J. Staron, Fred Discenzo, Kenwood H. Hall, Pavel Tichý, Petr Slechta, Vladimír Marík, David H. Scheidt, Michael J. Pekala, John Bracy

Proceedings of the Emerging Solutions for Future Manufacturing Systems, 2004

2002

Intelligent Control of Auxiliary Ship Systems.

David H. Scheidt, Christopher McCubbin, Michael J. Pekala, Shon Vick, David Alger

Proceedings of the Eighteenth National Conference on Artificial Intelligence and Fourteenth Conference on Innovative Applications of Artificial Intelligence, July 28, 2002