Research output per year
Research output per year
Personal profile
Education/Academic qualification
Physics, PHD, University of Wisconsin-Madison
Award Date: Apr 1 2017
Chemistry, BS, Rice University
Award Date: May 1 2009
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Dive into the research topics where Zigfried Hampel-Arias, is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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2D Spectral Representations and Autoencoders for Hyperspectral Imagery Classification and ExplanabilitY
Hampel-Arias, Z., Carr, A., Klein, N. & Flynn, E., 2024, 2024 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2024 - Proceedings. Unknown Publisher, p. 45-48 4 p. (Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Experiments in anomalous change detection: improving detector discrimination through feature layers
Hampel-Arias, Z. & Ziemann, A., 2023, Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imaging XXIX. Velez-Reyes, M. & Messinger, D. W. (eds.). Unknown Publisher, 125190P. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 12519).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Hindsight2020: Characterizing Uncertainty in the COVID-19 Scientific Literature
Dobolyi, K., Sieniawski, G. P., Dobolyi, D., Goldfrank, J. & Hampel-Arias, Z., Jul 25 2023, In: Disaster Medicine and Public Health Preparedness. 17, 7, e437.Research output: Contribution to journal › Article › peer-review
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Hyperspectral Target Identification Using Physics-Guided Neural Networks with Explainability and Feature Attribution
Klein, N., Carr, A., Hampel-Arias, Z., Zastrow, A., Ziemann, A. & Flynn, E., 2023, IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Proceedings. Unknown Publisher, p. 946-949 4 p. (International Geoscience and Remote Sensing Symposium (IGARSS); vol. 2023-July).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
3 Scopus citations -
Quantifying uncertainty in machine learning for hyperspectral target detection and identification
Klein, N., Carr, A., Hampel-Arias, Z., Ziemann, A., Flynn, E. & Mitchell, K., 2022, Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imaging XXVIII. Velez-Reyes, M. & Messinger, D. W. (eds.). Unknown Publisher, 120940B. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 12094).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
4 Scopus citations