Paul Elmore

发表

Autonomous UAV search planning with possibilistic inputs

Emily Grayson, Paul Elmore, Don Sofge, 2017, Defense + Security.

A variable resolution right TIN approach for gridded oceanographic data

Cheryl Ann Blain, Frederick E. Petry, Paul Elmore, 2017, Comput. Geosci..

Geospatial Modeling Using Dempster–Shafer Theory

Ronald R. Yager, Frederick E. Petry, Paul Elmore, 2017, IEEE Transactions on Cybernetics.

Fuzzy Choquet integration of homogeneous possibility and probability distributions

Timothy C. Havens, Derek Anderson, Frederick E. Petry, 2016, Inf. Sci..

Comparative measures of aggregated uncertainty representations

Ronald R. Yager, Frederick E. Petry, Paul Elmore, 2014, J. Ambient Intell. Humaniz. Comput..

Transfer Learning for the Choquet Integral

Timothy C. Havens, Derek T. Anderson, Paul Elmore, 2019, 2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

A practical taxonomy of methods and literature for managing uncertain spatial data in geographic information systems

Madjid Tavana, Frederick E. Petry, Paul Elmore, 2016 .

Combining uncertain information of differing modalities

Ronald R. Yager, Frederick E. Petry, Paul Elmore, 2015, Inf. Sci..

The Deterministic Mine Burial Prediction System

Paul Elmore, Michael D. Richardson, Sean E. Bradford, 2009 .

Evaluation of heterogeneous uncertain information fusion

Frederick E. Petry, Derek T. Anderson, Paul Elmore, 2020, J. Ambient Intell. Humaniz. Comput..

Information Theory Applications in Soft Computing

Frederick E. Petry, Paul Elmore, F. Petry, 2017, Granular, Soft and Fuzzy Approaches for Intelligent Systems.

Use of the AN/AQS-20A tactical mine-hunting system for on-scene bathymetry data

Paul Elmore, Michael M. Harris, Will Avera, 2009 .

Decision forests for machine learning classification of large, noisy seafloor feature sets

Frederick E. Petry, Paul Elmore, Donald Sofge, 2017, Comput. Geosci..

Multiple attribute similarity hypermatching

Ronald R. Yager, Paul Elmore, Fred Petry, 2018, Soft Comput..

An efficient evolutionary algorithm to optimize the Choquet integral

Derek Anderson, Paul Elmore, Fred Petry, 2019, Int. J. Intell. Syst..

Soft likelihood functions in combining evidence

Ronald R. Yager, Frederick E. Petry, Paul Elmore, 2017, Inf. Fusion.

Dempster–Shafer Approach to Temporal Uncertainty

Ronald R. Yager, Frederick E. Petry, Paul Elmore, 2017, IEEE Transactions on Emerging Topics in Computational Intelligence.

The fuzzy integral for missing data

Derek Anderson, Paul Elmore, Fred Petry, 2017, 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Adaptation and improvement of ASW tactical decision aid design to mine warfare tactical decision aid

Paul Elmore, Philip J. Valent, Kevin B. Briggs, 2003, Oceans 2003. Celebrating the Past ... Teaming Toward the Future (IEEE Cat. No.03CH37492).

Deep learning on hyperspectral data to obtain water properties and bottom depths

Frederick E. Petry, Paul Elmore, Kristen Nock, 2019, Defense + Commercial Sensing.

Grid Retaining Irregular Network (GRIN) for advanced geospatial data representations

Paul Elmore, David Marks, Brian S. Bourgeois, 2015 .

An approach to explainable deep learning using fuzzy inference

Paul Elmore, Fred Petry, Leslie Smith, 2017, Defense + Security.

Geospatial Uncertainty Representation: Fuzzy and Rough Set Approaches

Frederick E. Petry, Paul Elmore, F. Petry, 2015, Fifty Years of Fuzzy Logic and its Applications.

The entrainment of bubbles by drop impacts

Paul Elmore, Hugh C. Pumphrey, P. Elmore, 1990, Journal of Fluid Mechanics.

Binary fuzzy measures and Choquet integration for multi-source fusion

Nicolas H. Younan, Paul Elmore, Muhammad Aminul Islam, 2017, 2017 International Conference on Military Technologies (ICMT).

An iterative approach for approximating bubble distributions from attenuation measurements

Paul Elmore, Jerald W. Caruthers, Ralph R. Goodman, 1999 .