Jeff Calder

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Emailjwcalderumnedu

Accepting PhD Students

Research activity per year

33 Article
6 Conference contribution
3 Other

6 results

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2023
Deep Semi-supervised Label Propagation for SAR Image Classification
Enwright, J., Hardiman-Mostow, H., Calder, J. & Bertozzi, A., 2023, Algorithms for Synthetic Aperture Radar Imagery XXX. Zelnio, E. & Garber, F. D. (eds.). SPIE, 125200G. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 12520).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Open Access
Novel Batch Active Learning Approach and Its Application to Synthetic Aperture Radar Datasets
Chapman, J., Chen, B., Tan, Z., Calder, J., Miller, K. & Bertozzi, A. L., 2023, Algorithms for Synthetic Aperture Radar Imagery XXX. Zelnio, E. & Garber, F. D. (eds.). SPIE, 125200B. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 12520).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Open Access
2 Scopus citations
Utilizing Contrastive Learning for Graph-Based Active Learning of SAR Data
Brown, J., O’Neill, R., Calder, J. & Bertozzi, A. L., 2023, Algorithms for Synthetic Aperture Radar Imagery XXX. Zelnio, E. & Garber, F. D. (eds.). SPIE, 125200I. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 12520).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Open Access
2022
Graph-based Active Learning for Semi-supervised Classification of SAR Data∗
Miller, K., Mauro, J., Setiadi, J., Baca, X., Shi, Z., Calder, J. & Bertozzi, A. L., 2022, Algorithms for Synthetic Aperture Radar Imagery XXIX. Zelnio, E. & Garber, F. D. (eds.). SPIE, 120950C. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 12095).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
8 Scopus citations
2020
Poisson learning: Graph based semi-supervised learning at very low label rates
Calder, J., Cook, B., Thorpe, M. & Slepčev, D., 2020, 37th International Conference on Machine Learning, ICML 2020. Daume, H. & Singh, A. (eds.). International Machine Learning Society (IMLS), p. 1283-1293 11 p. (37th International Conference on Machine Learning, ICML 2020; vol. PartF168147-2).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
36 Scopus citations
2012
Multi-criteria anomaly detection using pareto depth analysis
Hsiao, K. J., Xu, K. S., Calder, J. & Hero, A. O., 2012, Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012, NIPS 2012. p. 845-853 9 p. (Advances in Neural Information Processing Systems; vol. 2).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
23 Scopus citations

Jeff Calder

Research output

Search results

Deep Semi-supervised Label Propagation for SAR Image Classification

Novel Batch Active Learning Approach and Its Application to Synthetic Aperture Radar Datasets

Utilizing Contrastive Learning for Graph-Based Active Learning of SAR Data

Graph-based Active Learning for Semi-supervised Classification of SAR Data∗

Poisson learning: Graph based semi-supervised learning at very low label rates

Multi-criteria anomaly detection using pareto depth analysis