Explainable AI for Understanding Decisions and Data-Driven Optimization of the Choquet Integral. - Bryce Murray; Muhammad Aminul Islam; Anthony J. Pinar; Timothy C. Havens; Derek T. Anderson; Grant J. Scott (FUZZ-IEEE, 2018)

Transfer Learning for the Choquet Integral. - Bryce Murray; Muhammad Aminul Islam; Anthony Pinar; Derek T. Anderson; Grant J. Scott; Timothy C. Havens; Fred Petry; Paul Elmore (FUZZ-IEEE, 2019)

Deep Morphological Hit-or-Miss Transform Neural Network. - Muhammad Aminul Islam; Bryce Murray; Andrew R. Buck; Derek T. Anderson; Grant J. Scott; Mihail Popescu; James Keller 001 (CoRR, 2019)

Information Fusion-2-Text: Explainable Aggregation via Linguistic Protoforms. - Bryce J. Murray; Derek T. Anderson; Timothy C. Havens; Timothy Wilkin 001; Anna Wilbik (IPMU (3), 2020)

Earth Mover's Distance as a Similarity Measure for Linear Order Statistics and Fuzzy Integrals. - Matthew Deardorff; Derek T. Anderson; Timothy C. Havens; Bryce Murray; Siva K. Kakula; Timothy Wilkin 001 (FUZZ-IEEE, 2021)

Actionable XAI for the Fuzzy Integral. - Bryce Murray; Derek T. Anderson; Timothy C. Havens (FUZZ-IEEE, 2021)

Explainable AI for the Choquet Integral. - Bryce J. Murray; Muhammad Aminul Islam; Anthony J. Pinar; Derek T. Anderson; Grant J. Scott; Timothy C. Havens; James M. Keller (IEEE Trans. Emerg. Top. Comput. Intell., 2021)

Extending the Morphological Hit-or-Miss Transform to Deep Neural Networks. - Muhammad Aminul Islam; Bryce Murray; Andrew R. Buck; Derek T. Anderson; Grant J. Scott; Mihail Popescu; James Keller 001 (IEEE Trans. Neural Networks Learn. Syst., 2021)