Anthony Pinar

According to our database, Anthony Pinar authored at least 24 papers between 2015 and 2021.

Collaborative distances:

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

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

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

Online Sequential Learning of Fuzzy Measures for Choquet Integral Fusion.

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

Proceedings of the 30th IEEE International Conference on Fuzzy Systems, 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

Visualization and Analysis Tools for Explainable Choquet Integral Regression.

Siva K. Kakula, Anthony J. Pinar, Timothy C. Havens, Derek T. Anderson

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Online Learning of the Fuzzy Choquet Integral.

Siva K. Kakula, Anthony J. Pinar, Timothy C. Havens, Derek T. Anderson

Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Choquet Integral Ridge Regression.

Siva K. Kakula, Anthony J. Pinar, Timothy C. Havens, Derek T. Anderson

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

Extended Linear Order Statistic (ELOS) Aggregation and Regression.

Siva K. Kakula, Anthony J. Pinar, Timothy C. Havens, Derek T. Anderson

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

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

Effective Turning Motion Control of Internally Actuated Autonomous Underwater Vehicles.

Saeedeh Ziaeefard, Brian R. Page, Anthony J. Pinar, Nina Mahmoudian

J. Intell. Robotic Syst., 2018

Comparison of Fuzzy Integral-Fuzzy Measure Based Ensemble Algorithms with the State-of-the-Art Ensemble Algorithms.

Utkarsh Agrawal, Anthony J. Pinar, Christian Wagner, Timothy C. Havens, Daniele Soria, Jonathan M. Garibaldi

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

SPFI: Shape-Preserving Choquet Fuzzy Integral for Non-Normal Fuzzy Set-Valued Evidence.

Timothy C. Havens, Anthony J. Pinar, Derek T. Anderson, Christian Wagner

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

2017

Efficient Multiple Kernel Classification Using Feature and Decision Level Fusion.

Anthony J. Pinar, Joseph Rice, Lequn Hu, Derek T. Anderson, Timothy C. Havens

IEEE Trans. Fuzzy Syst., 2017

Highly Maneuverable Low-Cost Underwater Glider: Design and Development.

Brian R. Page, Saeedeh Ziaeefard, Anthony J. Pinar, Nina Mahmoudian

IEEE Robotics Autom. Lett., 2017

Generating random fuzzy (capacity) measures for data fusion simulations.

Timothy C. Havens, Anthony J. Pinar

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 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

2016

Computational Intelligence Methods in Forward-Looking Explosive Hazard Detection.

Timothy C. Havens, Derek T. Anderson, Kevin E. Stone, John Becker, Anthony J. Pinar

Proceedings of the Recent Advances in Computational Intelligence in Defense and Security, 2016

Explosive hazard detection with feature and decision level fusion, multiple kernel learning, and fuzzy integrals.

Anthony J. Pinar, Joseph Rice, Timothy C. Havens, Matthew Masarik, Joseph Burns, Derek T. Anderson

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

2015

Low-Cost Open-Source Voltage and Current Monitor for Gas Metal Arc Weld 3D Printing.

Anthony Pinar, Bas Wijnen, Gerald C. Anzalone, Timothy C. Havens, Paul G. Sanders, Joshua M. Pearce

J. Sensors, 2015

A multi-level motion controller for low-cost Underwater Gliders.

Guilherme Aramizo Ribeiro, Anthony Pinar, Eric Wilkening, Saeedeh Ziaeefard, Nina Mahmoudian

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Feature and decision level fusion using multiple kernel learning and fuzzy integrals.

Anthony Pinar, Timothy C. Havens, Derek T. Anderson, Lequn Hu

Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015