Faculty

Institution

Unit

Venue

José Príncipe

Distinguished Professor

University of Florida

Affiliations

Herbert Wertheim College of Engineering

Department of Electrical & Computer Engineering

José Príncipe is currently serving as an Electrical & Computer Engineering Distinguished Professor at University of Florida.

Honors

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Experiences

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Education

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José Príncipe

University of Florida

Distinguished Professor

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machine learning computer science neuroscience signal processing systems engineering electrical engineering computational neuroscience information theory pattern recognition cognitive neuroscience artificial intelligence digital signal processing kernel methods neural engineering eeg signal processing computational intelligence statistical signal processing optical engineering entropy adaptive filter speech processing acoustic signal processing brain machine interfaces scientific computing audio signal processing transaction processing neural science state estimation independent component analysis supervised learning neural networks automatic control machine vision classification method system identification information theoretic learning machine learning research filter design estimation theory image segmentation brain-machine interfaces neurocomputers filtering technique principal component analysis neuroinformatics image classification power electronics marine engineering human-computer interaction neurodynamics audio electroacoustics self-organizing maps intelligent computing signal separation adaptive control source separation maximum correntropy criterion adaptive filtering mathematical optimization information technology synthetic aperture radar adaptive algorithms biomedical informatics cybernetics classifier systems aeronautics echo state networks adaptive systems mutual information relevant information data analysis kernel least-mean-square algorithm brain-machine interface maximum correntropy estimation nonlinear adaptive filtering correntropy mace filter adaptive management intelligent systems learning sciences adaptive learning

Notable Scholarly Works

Notable Federal Grants

Collaborators

Artificial Neural Networks. Springer eBooks (2025)

Zhen “Leo” Liu

artificial intelligencecomputer scienceneural computationartificial neural networksartificial systemsmachine intelligenceintelligent computingneural network (machine learning)learning classifier systemmachine learning researchcomputational intelligencedata sciencemachine learning

A Standard-Cell-Based Neuro-Inspired Integrate-And-Fire Analog-To-Time Converter for Biological and Low-Frequency Signals – Comparison With Analog Version. IEEE Transactions on Biomedical Circuits and Systems (2024)

Miguel Lima TeixeiraJoão P. OliveiraJosé C. PríncipeJoão Goes

medical electronicsbiomedical informaticsanalog versionbiomedical circuitsbiomedical technologiesintermittently connected deviceelectrophysiologyanalog-to-digital convertersneuroscienceoptoelectronicsbioelectronicselectrical engineeringbiomedical engineeringneural engineeringlow-frequency signalsanalog designelectronics

End-To-End Image Classification in Linear Hybrid Cellular Automata. 2022 International Joint Conference on Neural Networks (IJCNN) (2024)

Naoki SawahashiJose C. Principe

artificial intelligencebioimage analysisbiomedical imagingmachine learningcomputer scienceimage sequence analysisdeep learningcellular automatonimage representationcognitive scienceneural network (machine learning)image classificationsystems biologyimage analysismedical image computingend-to-end image classificationautomatic classificationcomputational imagingmachine learning research

Enhancing Information Extraction From Field Potentials in Electrophysiology Studies. bioRxiv (Cold Spring Harbor Laboratory) (2024)

Shailaja AkellaJose C. Principe

electrophysiology studieselectrophysiologyneuroscienceinformation extractionfield potentials

Finding Local Dependent Regions in Pdfs Using Rkhs Uncertainty Moments and Optimal Transport. 2022 International Joint Conference on Neural Networks (IJCNN) (2024)

Rishabh SinghYaxin MaJose C. Principe

computer scienceneural computationrkhs uncertainty momentslocal dependent regionsneural network (machine learning)machine learning researchoptimal transportmachine learning

Learning Orthonormal Features in Self-Supervised Learning Using Functional Maximal Correlation. 2022 IEEE International Conference on Image Processing (ICIP) (2024)

Bo HuYuheng BuJosé C. Príncipe

computer sciencefunctional maximal correlationfeature learningorthonormal featuresself-supervised learningmachine learning

Robust Filtering Under Minimum Error Entropy Criterion. (2024)

Siyuan PengLujuan DangBadong ChenJose C. Principe

computer scienceinformation filtering systementropy

Weakly-Supervised Semantic Segmentation of Circular-Scan, Synthetic-Aperture-Sonar Imagery. arXiv (Cornell University) (2024)

Sledge, Isaac J.Byrne, Dominic M.King, Jonathan L.Ostertag, Steven H.Woods, Denton L.Prater, James L.Kennedy, Jermaine L.Marston, Timothy M.Principe, Jose C.

image segmentationcomputer sciencecomputer visiondeep learningsynthetic-aperture-sonar imageryweakly-supervised semantic segmentationcomputational imagingremote sensingpattern recognitionmachine learningcomputer-generated imagery

Cross Density Kernel for Nonstationary Signal Processing. (2023)

Bo HuJosé C. Príncipe

computer sciencesignal processingcross density kernelkernel methodsnonstationary signal processingmachine learning

Information Theoretic Criteria. Springer eBooks (2023)

Badong ChenLujuan DangNanning ZhengJose C. Principe

information theoryinformation theoretic criteria

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105
10 / page

José Príncipe

Distinguished Professor

University of Florida

Affiliations

Herbert Wertheim College of Engineering

Department of Electrical & Computer Engineering

José Príncipe is currently serving as an Electrical & Computer Engineering Distinguished Professor at University of Florida.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

José Príncipe

University of Florida

Distinguished Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Artificial Neural Networks. Springer eBooks (2025)

Zhen “Leo” Liu

Miguel Lima TeixeiraJoão P. OliveiraJosé C. PríncipeJoão Goes

End-To-End Image Classification in Linear Hybrid Cellular Automata. 2022 International Joint Conference on Neural Networks (IJCNN) (2024)

Naoki SawahashiJose C. Principe

Enhancing Information Extraction From Field Potentials in Electrophysiology Studies. bioRxiv (Cold Spring Harbor Laboratory) (2024)

Shailaja AkellaJose C. Principe

electrophysiology studieselectrophysiologyneuroscienceinformation extractionfield potentials

Finding Local Dependent Regions in Pdfs Using Rkhs Uncertainty Moments and Optimal Transport. 2022 International Joint Conference on Neural Networks (IJCNN) (2024)

Rishabh SinghYaxin MaJose C. Principe

computer scienceneural computationrkhs uncertainty momentslocal dependent regionsneural network (machine learning)machine learning researchoptimal transportmachine learning

Learning Orthonormal Features in Self-Supervised Learning Using Functional Maximal Correlation. 2022 IEEE International Conference on Image Processing (ICIP) (2024)

Bo HuYuheng BuJosé C. Príncipe

computer sciencefunctional maximal correlationfeature learningorthonormal featuresself-supervised learningmachine learning

Robust Filtering Under Minimum Error Entropy Criterion. (2024)

Siyuan PengLujuan DangBadong ChenJose C. Principe

computer scienceinformation filtering systementropy

Weakly-Supervised Semantic Segmentation of Circular-Scan, Synthetic-Aperture-Sonar Imagery. arXiv (Cornell University) (2024)

Sledge, Isaac J.Byrne, Dominic M.King, Jonathan L.Ostertag, Steven H.Woods, Denton L.Prater, James L.Kennedy, Jermaine L.Marston, Timothy M.Principe, Jose C.

Cross Density Kernel for Nonstationary Signal Processing. (2023)

Bo HuJosé C. Príncipe

computer sciencesignal processingcross density kernelkernel methodsnonstationary signal processingmachine learning

Information Theoretic Criteria. Springer eBooks (2023)

Badong ChenLujuan DangNanning ZhengJose C. Principe

information theoryinformation theoretic criteria

1
2
3
4
5
105
10 / page

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radar signal processing

wireless communication

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