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Michael J. Pekala
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2020 – today
- 2024
- [i6]Alexander New, Nam Q. Le, Michael J. Pekala, Christopher D. Stiles:
Self-supervised learning for crystal property prediction via denoising. CoRR abs/2408.17255 (2024) - 2023
- [i5]Alexander New, Michael J. Pekala, Elizabeth A. Pogue, Nam Q. Le, Janna Domenico, Christine D. Piatko, Christopher D. Stiles:
Evaluating the diversity and utility of materials proposed by generative models. CoRR abs/2309.12323 (2023) - 2022
- [i4]Alexander New, Michael J. Pekala, Nam Q. Le, Janna Domenico, Christine D. Piatko, Christopher D. Stiles:
Curvature-informed multi-task learning for graph networks. CoRR abs/2208.01684 (2022) - 2021
- [i3]Wojciech Czaja, Weilin Li, Yiran Li, Michael J. Pekala:
Maximal function pooling with applications. CoRR abs/2103.01292 (2021)
2010 – 2019
- 2019
- [j2]Michael J. Pekala, Neil Joshi, T. Y. Alvin Liu, Neil M. Bressler, Delia Cabrera DeBuc, Philippe Burlina:
Deep learning based retinal OCT segmentation. Comput. Biol. Medicine 114 (2019) - 2018
- [c13]Michael J. Pekala, Neil Joshi, T. Y. Alvin Liu, Neil M. Bressler, Delia Cabrera DeBuc, Philippe Burlina:
OCT Segmentation via Deep Learning: A Review of Recent Work. ACCV Workshops 2018: 316-322 - [c12]Wojciech Czaja, Neil Fendley, Michael J. Pekala, Christopher Ratto, I-Jeng Wang:
Adversarial examples in remote sensing. SIGSPATIAL/GIS 2018: 408-411 - [i2]Michael J. Pekala, Neil Joshi, David E. Freund, Neil M. Bressler, Delia Cabrera DeBuc, Philippe M. Burlina:
Deep Learning based Retinal OCT Segmentation. CoRR abs/1801.09749 (2018) - [i1]Wojciech Czaja, Neil Fendley, Michael J. Pekala, Christopher Ratto, I-Jeng Wang:
Adversarial Examples in Remote Sensing. CoRR abs/1805.10997 (2018) - 2017
- [c11]Arnaldo Horta, Neil Joshi, Michael J. Pekala, Katia D. Pacheco, Jun Kong, Neil M. Bressler, David E. Freund, Philippe Burlina:
A Hybrid Approach for Incorporating Deep Visual Features and Side Channel Information with Applications to AMD Detection. ICMLA 2017: 716-720 - 2015
- [j1]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:
An Automated Images-to-Graphs Framework for High Resolution Connectomics. Frontiers Neuroinformatics 9: 20 (2015) - [c10]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:
VESICLE: Volumetric Evaluation of Synaptic Inferfaces using Computer Vision at Large Scale. BMVC 2015: 81.1-81.13 - 2014
- [c9]Michael J. Pekala, I-Jeng Wang, Ashley J. Llorens:
Conformal predictors for online track classification. ICASSP 2014: 2922-2926 - 2012
- [c8]Matthew D. Sharp, Michael J. Pekala, Jeffrey A. Nanzer, I-Jeng Wang, Dennis Lucarelli, Keir Christian Lauritzen:
Exploiting adaptive beamforming for compressive measurements. SAM 2012: 337-340 - [c7]Michael J. Pekala, Ashley J. Llorens, I-Jeng Wang:
Local distance metric learning for efficient conformal predictors. MLSP 2012: 1-6 - 2011
- [c6]Paul Rosendall, Michael J. Pekala, David H. Scheidt:
Reconfiguring connected resource distribution systems. CICA 2011: 94-101 - [c5]Michael J. Pekala, Ashley J. Llorens:
Online learning with minority class resampling. ICASSP 2011: 2248-2251
2000 – 2009
- 2009
- [c4]Christopher P. Diehl, Jaime Montemayor, Michael J. Pekala:
Social Relationship Identification: An Example of Social Query. CSE (4) 2009: 381-388 - 2008
- [c3]Jaime Montemayor, Christopher P. Diehl, Michael J. Pekala, David Patrone:
Interactive poster - SocialRank: An ego- and time-centric workflow for relationship identification. IEEE VAST 2008: 179-180 - 2004
- [c2]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:
Integrating Multi-Agent Systems: A Case Study. BASYS 2004: 99-108 - 2002
- [c1]David H. Scheidt, Christopher McCubbin, Michael J. Pekala, Shon Vick, David Alger:
Intelligent Control of Auxiliary Ship Systems. AAAI/IAAI 2002: 913-918
Coauthor Index
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