World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
58
Citations
14408
World Ranking
3613
National Ranking
1731

Research.com Recognitions

  • 2011 - IEEE Fellow For contributions to computational intelligence algorithms for landmine and explosive object detection

Overview

Paul D. Gader is affiliated with the University of Florida in the United States. Their research focuses on areas within engineering and computer science, with particular attention to media technology, computer vision and pattern recognition, ecology, artificial intelligence, and aerospace engineering.

The scientist's main research topics include:

  • Remote-Sensing Image Classification
  • Remote Sensing in Agriculture
  • AI in cancer detection
  • Advanced Image and Video Retrieval Techniques
  • Image Processing Techniques and Applications
  • Calibration and Measurement Techniques
  • Spacecraft Design and Technology

Their frequent collaborators include:

  • Alina Zare
  • Susan K. Meerdink
  • Ronald Fick
  • Aditya S. Dutt
  • Pingjun Chen

Paul D. Gader has contributed to a variety of publication venues. The most common venues for their work are:

  • arXiv (Cornell University)
  • Remote Sensing
  • IEEE/ACM Transactions on Audio Speech and Language Processing
  • Remote Sensing of Environment
  • Computer Methods and Programs in Biomedicine

Selected recent papers published by Paul D. Gader include:

  • HYPSO-1 CubeSat: First Images and In-Orbit Characterization, 2023, Remote Sensing
  • Unmixing urban hyperspectral imagery using probability distributions to represent endmember variability, 2020, Remote Sensing of Environment
  • Wavelet Multiresolution Analysis Based Speech Emotion Recognition System Using 1D CNN LSTM Networks, 2023, IEEE/ACM Transactions on Audio Speech and Language Processing
  • Interactive thyroid whole slide image diagnostic system using deep representation, 2020, Computer Methods and Programs in Biomedicine
  • Automatic whole slide pathology image diagnosis framework via unit stochastic selection and attention fusion, 2021, Neurocomputing

In 2011, Paul D. Gader was recognized as an IEEE Fellow for contributions to computational intelligence algorithms related to landmine and explosive object detection.

Best Publications

  • Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches

    J. M. Bioucas-Dias;A. Plaza;N. Dobigeon;M. Parente

  • A Review of Nonlinear Hyperspectral Unmixing Methods

    Rob Heylen;Mario Parente;Paul D. Gader

  • Twenty Years of Mixture of Experts

    S. E. Yuksel;J. N. Wilson;P. D. Gader

  • A Signal Processing Perspective on Hyperspectral Unmixing: Insights from Remote Sensing

    Wing-Kin Ma;Jose M. Bioucas-Dias;Tsung-Han Chan;Nicolas Gillis

  • Landmine detection with ground penetrating radar using hidden Markov models

    P.D. Gader;M. Mystkowski;Yunxin Zhao

  • Handwritten word recognition using segmentation-free hidden Markov modeling and segmentation-based dynamic programming techniques

    M. Mohamed;P. Gader

  • Image algebra techniques for parallel image processing

    Gerhard X. Ritter;Paul D. Gader

  • Fusion of handwritten word classifiers

    Paul D. Gader;Magdi A. Mohamed;James M. Keller

  • Sparsity Promoting Iterated Constrained Endmember Detection in Hyperspectral Imagery

    A. Zare;P. Gader

  • Handwritten word recognition with character and inter-character neural networks

    P.D. Gader;M. Mohamed;Jung-Hsien Chiang

  • Advances in fuzzy integration for pattern recognition

    James M. Keller;Paul Gader;Hossein Tahani;Jung-Hsien Chiang

  • Detection and Discrimination of Land Mines in Ground-Penetrating Radar Based on Edge Histogram Descriptors and a Possibilistic $K$ -Nearest Neighbor Classifier

    H. Frigui;P. Gader

  • A Large-Scale Systematic Evaluation of Algorithms Using Ground-Penetrating Radar for Landmine Detection and Discrimination

    J.N. Wilson;P. Gader;Wen-Hsiung Lee;H. Frigui

  • Detecting landmines with ground-penetrating radar using feature-based rules, order statistics, and adaptive whitening

    P. Gader;Wen-Hsiung Lee;J.N. Wilson

  • An Investigation of Using the Spectral Characteristics From Ground Penetrating Radar for Landmine/Clutter Discrimination

    K.C. Ho;L. Carin;P.D. Gader;J.N. Wilson

  • Generalized Choquet fuzzy integral fusion

    Sansanee Auephanwiriyakul;James M Keller;Paul D Gader

  • A linear prediction land mine detection algorithm for hand held ground penetrating radar

    K.C. Ho;P.D. Gader

  • Generalized hidden Markov models. I. Theoretical frameworks

    M.A. Mohamed;P. Gader

  • A Gaussian Mixture Model Representation of Endmember Variability in Hyperspectral Unmixing.

    Yuan Zhou;Anand Rangarajan;Paul D. Gader

  • Recognition of handwritten digits using template and model matching

    Paul Gader;Brian Forester;Margaret Ganzberger;Andrew Gillies

  • Morphological shared-weight networks with applications to automatic target recognition

    Yonggwan Won;P.D. Gader;P.C. Coffield

Frequent Co-Authors

James M. Keller
James M. Keller University of Missouri
K. C. Ho
K. C. Ho University of Missouri
Anand Rangarajan
Anand Rangarajan University of Florida
Paul Scheunders
Paul Scheunders University of Antwerp
Jocelyn Chanussot
Jocelyn Chanussot Grenoble Alpes University
Raghu Krishnapuram
Raghu Krishnapuram Indian Institute of Science
Jose M. Bioucas-Dias
Jose M. Bioucas-Dias Instituto Superior Técnico
Won Suk Lee
Won Suk Lee University of Florida
Antonio Plaza
Antonio Plaza University of Extremadura
Dar A. Roberts
Dar A. Roberts University of California, Santa Barbara

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