Muhammad Aminul Islam

According to our database, Muhammad Aminul Islam authored at least 24 papers between 2015 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

IEEE Trans. Neural Networks Learn. Syst., 2021

Novel Regularization for Learning the Fuzzy Choquet Integral With Limited Training Data.

Siva Krishna Kakula, Anthony J. Pinar, Muhammad Aminul Islam, Derek T. Anderson, Timothy C. Havens

IEEE Trans. Fuzzy Syst., 2021

A Generalized Fuzzy Extension Principle and Its Application to Information Fusion.

Muhammad Aminul Islam, Derek T. Anderson, Timothy C. Havens, John E. Ball

IEEE Trans. Fuzzy Syst., 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

Attribution Modeling for Deep Morphological Neural Networks using Saliency Maps.

Muhammad Aminul Islam, Charlie T. Veal, Yashaswini Gouru, Derek T. Anderson

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Enabling Explainable Fusion in Deep Learning With Fuzzy Integral Neural Networks.

Muhammad Aminul Islam, Derek T. Anderson, Anthony J. Pinar, Timothy C. Havens, Grant J. Scott, James M. Keller

IEEE Trans. Fuzzy Syst., 2020

Fuzzy Integral = Contextual Linear Order Statistic.

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

CoRR, 2020

Differential Morphological Profile Neural Network for Object Detection in Overhead Imagery.

Grant J. Scott, J. Alex Hurt, Alex Yang, Muhammad Aminul Islam, Derek T. Anderson, Curt H. Davis

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Possibilistic Clustering Enabled Neuro Fuzzy Logic.

Blake Ruprecht, Wenlong Wu, Muhammad Aminul Islam, Derek Anderson, James Keller, Grant J. Scott, Curt H. Davis, Fred Petry, Paul Elmore, Kristen Nock, Elizabeth Gilmour

Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020

A Weighted Matrix Visualization for Fuzzy Measures and Integrals.

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

Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020

2019

Semantic Segmentation with Transfer Learning for Off-Road Autonomous Driving.

Suvash Sharma, John E. Ball, Bo Tang, Daniel W. Carruth, Matthew Doude, Muhammad Aminul Islam

Sensors, 2019

An efficient evolutionary algorithm to optimize the Choquet integral.

Muhammad Aminul Islam, Derek T. Anderson, Fred Petry, Paul Elmore

Int. J. Intell. Syst., 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

CoRR, 2019

Fusion of heterogeneous bands and kernels in hyperspectral image processing.

Muhammad Aminul Islam, Derek T. Anderson, John E. Ball, Nicolas H. Younan

CoRR, 2019

Linear Order Statistic Neuron.

Charlie T. Veal, Alex Yang, J. Alex Hurt, Muhammad Aminul Islam, Derek T. Anderson, Grant J. Scott, James M. Keller, Timothy C. Havens, Bo Tang

Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019

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

Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019

2018

Data-Driven Compression and Efficient Learning of the Choquet Integral.

Muhammad Aminul Islam, Derek T. Anderson, Anthony J. Pinar, Timothy C. Havens

IEEE Trans. Fuzzy Syst., 2018

Efficient Binary Fuzzy Measure Representation and Choquet Integral Learning.

Muhammad Aminul Islam, Derek T. Anderson, Xiaoxiao Du, Timothy C. Havens, Christian Wagner

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations, 2018

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

Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

2017

Visualization and learning of the Choquet integral with limited training data.

Anthony J. Pinar, Timothy C. Havens, Muhammad Aminul Islam, Derek T. Anderson

Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

The fuzzy integral for missing data.

Muhammad Aminul Islam, Derek T. Anderson, Fred Petry, Denson Smith, Paul Elmore

Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

2016

Fusion of diverse features and kernels using LP-norm based multiple kernel learning in hyperspectral image processing.

Muhammad Aminul Islam, Derek T. Anderson, John E. Ball, Nicolas H. Younan

Proceedings of the 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2016

CLODD based band group selection.

Muhammad Aminul Islam, Derek T. Anderson, John E. Ball, Nicolas H. Younan

Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

2015

Multi-criteria based learning of the Choquet integral using Goal programming.

Muhammad Aminul Islam, Derek T. Anderson, Timothy C. Havens

Proceedings of the 2015 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS) held jointly with 2015 5th World Conference on Soft Computing (WConSC), 2015