D. T. Anderson, G. J. Scott, M. Islam, B. Murray, and R. Marcum, “Fuzzy choquet integration
of deep convolutional neural networks for remote sensing,” in Computational Intelligence for Pattern Recognition, Springer, 2018, pp. 1–28.
S. K. Kakula, A. J. Pinar, M. Islam, D. T. Anderson, and T. Havens, “Novel regularization
for learning the fuzzy choquet integral with limited training data,” IEEE Transactions on Fuzzy Systems. 2020.
M. Islam, D. T. Anderson, T. C. Havens, and J. E. Ball, “A generalized fuzzy extension
principle and its application to information fusion,” IEEE Transactions on Fuzzy Systems, 2020.
B. Murray, M. Islam, A. J. Pinar, D. T. Anderson, G. Scott, T. C. Havens, and J. M.
Keller, “Explainable AI for the choquet integral,” IEEE Transactions on Emerging Topics in Computational Intelligence, 2020.
M. Islam, D. T. Anderson, A. J. Pinar, T. C. Havens, G. Scott, and J. M. Keller, “Enabling
explainable fusion in deep learning with fuzzy integral neural networks,” Special
Issue on Deep Fuzzy Models, IEEE Transactions on Fuzzy Systems, 2019, issn: 1063-6706. doi: 10.1109/TFUZZ.2019.2917124.
S. Sharma, J. E. Ball, B. Tang, D. W. Carruth, M. Doude, and M. Islam, “Semantic segmentation
with transfer learning for off-road autonomous driving,” Sensors, vol. 19, no. 11, p. 2577, 2019.
M. Islam, D. T. Anderson, J. E. Ball, and N. H. Younan, “Fusion of heterogeneous bands
and kernels inhyperspectral image processing,” Journal of Applied Remote Sensing, vol. 13, no. 2, 2019.
M. Islam, D. T. Anderson, F. Petry, and P. Elmore, “An efficient evolutionary algorithm
to optimize the Choquet integral,” International Journal of Intelligent Systems, 2018. doi: 10.1002/int.22056.
M. Islam, D. T. Anderson, A. J. Pinar, and T. C. Havens, “Data-driven compression
and efficient learning of the Choquet integral,” IEEE Transactions on Fuzzy Systems, 2017, issn: 1063-6706. doi: 10.1109/TFUZZ.2017.2755002.
G. Scott, A. Hurt, A. Yang, M. Islam, D. T. Anderson, and C. Davis, “Differential
morphological profile neural network for object detection in overhead imagery,” in
International Joint Conference on Neural Networks, Jul. 2020.
A. Buck, D. T. Anderson, J. Keller, T. Wilkin, and M. Islam, “A weighted matrix visualization
for fuzzy measures and integrals,” in IEEE International Conference on Fuzzy Systems
(FUZZ-IEEE), Jul. 2020.
B. Ruprecht, W. Wu, M. Islam, D. T. Anderson, J. Keller, G. Scott, C. Davis, F. Petry,
P. Elmore, K. Nock, and E. Gilmour, “Possibilistic clustering enabled neuro fuzzy
logic,” in IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Jul. 2020.
C. Veal, A. Yang, A. Hurt, B. Murray, M. Islam, D. T. Anderson, G. J. Scott, T. C.
Havens, J. M. Keller, and B. Tang, “Linear order statistic neuron,” in 2019 IEEE International
Conference on Fuzzy Systems (FUZZ-IEEE), Jun. 2019.
B. Murray, M. Islam, A. J. Pinar, D. T. Anderson, G. J. Scott, T. C. Havens, F. Petry,
and P. Elmore, “Transfer learning for the choquet integral,” in 2019 IEEE International
Conference on Fuzzy Systems (FUZZ-IEEE), Jun. 2019.
W. Meadows, C. Hudson, C. Goodin, L. Dabbiru, B. Powell, M. Doude, D. Carruth, M.
Islam, J. Ball, and B. Tang, “Multi-lidar placement, calibration, co-registration,
and processing on a subaru forrester for off-road autonomous vehicles operations,”
in Autonomous Systems: Sensors, Vehicles, Security, and the Internet of Everything,
International Society for Optics and Photonics, 2019.
B. Murray, M. Islam, A. J. Pinar, T. C. Havens, D. T. Anderson, and G. Scott, “Explainable
AI for understanding decisions and data-driven optimization of the Choquet integral,”
in 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Jul. 2018.
M. Islam, D. T. Anderson, X. Du, T. C. Havens, and C. Wagner, “Efficient binary fuzzy
measure representation and Choquet integral learning,” in 2018 17th International
Conference on Information Processing and Management of Uncertainty in Knowledge-Based
Systems, Springer, Jun. 2018.
M. Davis, L. Cagle, C. Morgan, C. Hudson, B. Shell, D. Gardner, M. Islam, C. L. Bethel,
J. E. Ball, J. R. Gafford, D. T. Anderson, Y. Liu, and A. LeClair, “Hydra: a modular,
universal multi-sensor data collection system,” in Autonomous Systems: Sensors, Vehicles,
Security, and the Internet of Everything, International Society for Optics and Photonics,
2018.
M. Islam, D. T. Anderson, F. Petry, D. Smith, and P. Elmore, “The fuzzy integral for
missing data,” in 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE),
2017, pp. 1–8.
A. J. Pinar, T. C. Havens, M. Islam, and D. T. Anderson, “Visualization and learning
of the Choquet integral with limited training data,” in 2017 IEEE International Conference
on Fuzzy Systems (FUZZ-IEEE), 2017, pp. 1–6.
D. T. Anderson, M. Islam, R. King, N. H. Younan, J. R. Fairley, S. Howington, F. Petry,
P. Elmore, and A. Zare, “Binary fuzzy measures and Choquet integration for multi-source
fusion,” in 2017 International Conference on Military Technologies (ICMT), 2017, pp.
676–681.
M. Islam, D. T. Anderson, J. E. Ball, and N. H. Younan, “Fusion of diverse features
and kernels using lp-norm based multiple kernel learning in hyperspectral image processing,”
in 2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote
Sensing (WHISPERS), 2016, pp. 1–5.
M. Islam, D. T. Anderson, J. E. Ball, and N. H. Younan, “Clodd based band group selection,”
in 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Jul.
2016, pp. 36–39.
M. Islam, D. T. Anderson, and T. C. Havens, “Multi-criteria based learning of the
choquet integral using goal programming,” in 2015 Annual Conference of the North American
Fuzzy Information Processing Society (NAFIPS) held jointly with 2015 5th World Conference
on Soft Computing (WConSC), 2015, pp. 1–6.
