Andrew R. Buck, Ph.D.

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2020+

Extending the Morphological Hit-or-Miss Transform to Deep Neural Networks

Muhammad Aminul Islam, Bryce Murray, Andrew R. Buck, Derek T. Anderson, Grant Scott, Mihail Popescu, James Keller

IEEE Transactions on Neural Networks and Learning Systems, Oct. 2020

IEEE-TNNLS, arXiv, Deep Learning, Morphology

A Weighted Matrix Visualization for Fuzzy Measures and Integrals

Andrew R. Buck, Derek T. Anderson, James M. Keller, Timothy Wilkin, Muhammad Aminul Islam

2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Glasgow, United Kingdom, 2020

WCCI, FUZZ-IEEE, Fuzzy Integral, Visualization, Code

[DOI] [paper] [slides] [video] [code]

Doing More With Less: Similarity Neural Nets and Metrics for Small Class Imbalanced Data Sets

Charlie Veal, Jeffrey Schulz, Andrew Buck, Derek Anderson, James Keller, Mihail Popescu, Grant Scott, Dominic Ho, Timothy Wilkin

Proc. SPIE 11418, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXV, 2020

SPIE, Deep Learning

Extending Deep Learning to New Classes without Retraining

Jeffrey Schulz, Charlie Veal, Andrew Buck, Derek Anderson, James Keller, Mihail Popescu, Grant Scott, Dominic K. C. Ho, Timothy Wilkin

Proc. SPIE 11418, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXV, 2020

SPIE, Deep Learning

[DOI] [paper] [video]

Fuzzy Integral = Contextual Linear Order Statistic

Derek T. Anderson, Matthew Deardorff, Timothy C. Havens, Siva K. Kakula, Timothy Wilkin, Muhammad Aminul Islam, Anthony J. Pinar, Andrew R. Buck

arXiv, 2020

arXiv, Fuzzy Integral