Derek Anderson

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Bryce Murray

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Publications

2021
[j32]
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Bryce J. Murray, Muhammad Aminul Islam, Anthony J. Pinar, Derek T. Anderson, Grant J. Scott, Timothy C. Havens, James M. Keller:
Explainable AI for the Choquet Integral. IEEE Trans. Emerg. Top. Comput. Intell. 5(4): 520-529 (2021)
[j29]
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Muhammad Aminul Islam, Bryce Murray, Andrew R. Buck, Derek T. Anderson, Grant J. Scott, Mihail Popescu, James Keller:
Extending the Morphological Hit-or-Miss Transform to Deep Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 32(11): 4826-4838 (2021)
[c84]
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  - conf/fuzzIEEE/DeardorffAHMKW21
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Matthew Deardorff, Derek T. Anderson, Timothy C. Havens, Bryce Murray, Siva K. Kakula, Timothy Wilkin:
Earth Mover's Distance as a Similarity Measure for Linear Order Statistics and Fuzzy Integrals. FUZZ-IEEE 2021: 1-8
[c82]
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Bryce Murray, Derek T. Anderson, Timothy C. Havens:
Actionable XAI for the Fuzzy Integral. FUZZ-IEEE 2021: 1-8
2020
[c72]
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  - conf/ipmu/MurrayAHWW20
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Bryce J. Murray, Derek T. Anderson, Timothy C. Havens, Timothy Wilkin, Anna Wilbik:
Information Fusion-2-Text: Explainable Aggregation via Linguistic Protoforms. IPMU (3) 2020: 114-127
2019
[c65]
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  - conf/fuzzIEEE/MurrayIPASHPE19
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Bryce Murray, Muhammad Aminul Islam, Anthony Pinar, Derek T. Anderson, Grant J. Scott, Timothy C. Havens, Fred Petry, Paul Elmore:
Transfer Learning for the Choquet Integral. FUZZ-IEEE 2019: 1-6
[i7]
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  - journals/corr/abs-1912-02259
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Muhammad Aminul Islam, Bryce Murray, Andrew R. Buck, Derek T. Anderson, Grant J. Scott, Mihail Popescu, James Keller:
Deep Morphological Hit-or-Miss Transform Neural Network. CoRR abs/1912.02259 (2019)
2018
[c58]
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  - conf/fuzzIEEE/MurrayIPHAS18
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Bryce Murray, Muhammad Aminul Islam, Anthony J. Pinar, Timothy C. Havens, Derek T. Anderson, Grant J. Scott:
Explainable AI for Understanding Decisions and Data-Driven Optimization of the Choquet Integral. FUZZ-IEEE 2018: 1-8

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