Faculty

Institution

Unit

Venue

Luis Sanchez Giraldo

Assistant Professor

University of Kentucky

Affiliations

Stanley and Karen Pigman College of Engineering

Electrical & Computer Engineering

Luis Sanchez Giraldo is currently serving as an Electrical & Computer Engineering Assistant Professor at University of Kentucky.

Honors

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Experiences

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Education

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Luis Sanchez Giraldo

University of Kentucky

Assistant Professor

You can click a keyword to filter the displayed items

machine learning computer science neuroscience computer vision pattern recognition deep learning cognitive science cognitive neuroscience data science information theory computational neuroscience machine vision kernel methods vision research relevant information informatics machine intelligence entropy evolutionary computation speech processing brain science neural science pattern analysis image classification feature selection deep neural networks information theoretic learning hierarchical models localization computational intelligence information technology scientific computing human-computer interaction computational imaging structural molecular biology pattern matching hyperspectral imaging automated machine learning visual processing 3d computer vision convolutional neural networks data normalization neuroinformatics information processing (psychology) network segmentation ranking algorithms eeg signal processing braincomputer interface sparse neural network classification method data classification automatic classification autoencoders supervised learning signal reconstruction model comparison online algorithms program slicing acoustic signal processing goal-oriented frameworks natural vision matrix-based renyi multivariate extension a-order entropy functional information-theoretic methods hyperspectral image classification multiscale principle visual textures natural images cauchy-schwarz divergence non-rigid registration

Notable Scholarly Works

Notable Federal Grants

Collaborators

Semantic Reconstruction From Fnirs Using Recurrent Neural Networks. (2025)

computational imagingdigital image processingneurosciencesignal reconstruction

When Does Additional Information Improve Accuracy of Rna Secondary Structure Prediction?. Journal of Chemical Information and Modeling (2025)

rna structure predictionrna biologystructural molecular biologymolecular biologystructural biologycomputational biologybioinformatics

An Alternate View on Optimal Filtering in an Rkhs. arXiv (Cornell University) (2023)

B ColburnJC PrincipeLGS Giraldo

digital signal processingoptimal filteringalternate viewelectrical engineering

DIME: Maximizing Mutual Information by a Difference of Matrix-Based Entropies. arXiv (Cornell University) (2023)

Skean, OscarOsorio, Jhoan Keider HoyosBrockmeier, Austin J.Giraldo, Luis Gonzalo Sanchez

matrix-based entropiesmachine learningdata sciencemutual information

Non-Uniform Sampling-Based Breast Cancer Classification. Lecture notes in computer science (2023)

Santiago Posso MurilloOscar SkeanLuis G. Sanchez Giraldo

samplingmachine learningclassification methoddeep learningbreast cancerpattern recognitiondata classificationdata scienceautomatic classificationcomputer science

Skin Lesion Segmentation Improved by Transformer-Based Networks With Inter-Scale Dependency Modeling. Lecture notes in computer science (2023)

Sania EskandariJanet LumppLuis Sanchez Giraldo

scientific computingdermatologyinformaticsophthalmologyskin lesion segmentationdeep learningmedical imagingnetwork segmentationmachine learningtransformer-based networkscomputer science

Inference via Sparse Coding in a Hierarchical Vision Model. Journal of Vision (2022)

Joshua BowrenLuis G. Sánchez GiraldoOdelia Schwartz

machine learningcomputer visionhierarchical vision modeldeep learningneural computationinferencedata sciencecognitive sciencecomputer sciencesparse neural networksparse coding

Inference via Sparse Coding in a Hierarchical Vision Model. Journal of Vision (2022)

Joshua BowrenLuis Sanchez-GiraldoOdelia Schwartz

computer visionhierarchical vision modelinferenceneurosciencesparse coding

Metric Learning in Freewill Eeg Pre-Movement and Movement Intention Classification for Brain Machine Interfaces. Frontiers in Human Neuroscience (2022)

William PlucknettLuis G. Sanchez GiraldoJihye Bae

cognitive neurosciencefreewill eeg pre-movementbrain machine interfacesmovement intention classificationcomputational neuroscienceeeg signal processingmetric learningmachine learningneuroscience

The Functional Wiener Filter. arXiv (Cornell University) (2022)

B ColburnLGS GiraldoJC Principe

digital signal processingfunctional wiener filtersignal processingapplied mathematics

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Luis Sanchez Giraldo

Assistant Professor

University of Kentucky

Affiliations

Stanley and Karen Pigman College of Engineering

Electrical & Computer Engineering

Luis Sanchez Giraldo is currently serving as an Electrical & Computer Engineering Assistant Professor at University of Kentucky.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Luis Sanchez Giraldo

University of Kentucky

Assistant Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Semantic Reconstruction From Fnirs Using Recurrent Neural Networks. (2025)

computational imagingdigital image processingneurosciencesignal reconstruction

When Does Additional Information Improve Accuracy of Rna Secondary Structure Prediction?. Journal of Chemical Information and Modeling (2025)

rna structure predictionrna biologystructural molecular biologymolecular biologystructural biologycomputational biologybioinformatics

An Alternate View on Optimal Filtering in an Rkhs. arXiv (Cornell University) (2023)

B ColburnJC PrincipeLGS Giraldo

digital signal processingoptimal filteringalternate viewelectrical engineering

DIME: Maximizing Mutual Information by a Difference of Matrix-Based Entropies. arXiv (Cornell University) (2023)

Skean, OscarOsorio, Jhoan Keider HoyosBrockmeier, Austin J.Giraldo, Luis Gonzalo Sanchez

matrix-based entropiesmachine learningdata sciencemutual information

Non-Uniform Sampling-Based Breast Cancer Classification. Lecture notes in computer science (2023)

Santiago Posso MurilloOscar SkeanLuis G. Sanchez Giraldo

samplingmachine learningclassification methoddeep learningbreast cancerpattern recognitiondata classificationdata scienceautomatic classificationcomputer science

Skin Lesion Segmentation Improved by Transformer-Based Networks With Inter-Scale Dependency Modeling. Lecture notes in computer science (2023)

Sania EskandariJanet LumppLuis Sanchez Giraldo

scientific computingdermatologyinformaticsophthalmologyskin lesion segmentationdeep learningmedical imagingnetwork segmentationmachine learningtransformer-based networkscomputer science

Inference via Sparse Coding in a Hierarchical Vision Model. Journal of Vision (2022)

Joshua BowrenLuis G. Sánchez GiraldoOdelia Schwartz

machine learningcomputer visionhierarchical vision modeldeep learningneural computationinferencedata sciencecognitive sciencecomputer sciencesparse neural networksparse coding

Inference via Sparse Coding in a Hierarchical Vision Model. Journal of Vision (2022)

Joshua BowrenLuis Sanchez-GiraldoOdelia Schwartz

computer visionhierarchical vision modelinferenceneurosciencesparse coding

Metric Learning in Freewill Eeg Pre-Movement and Movement Intention Classification for Brain Machine Interfaces. Frontiers in Human Neuroscience (2022)

William PlucknettLuis G. Sanchez GiraldoJihye Bae

cognitive neurosciencefreewill eeg pre-movementbrain machine interfacesmovement intention classificationcomputational neuroscienceeeg signal processingmetric learningmachine learningneuroscience

The Functional Wiener Filter. arXiv (Cornell University) (2022)

B ColburnLGS GiraldoJC Principe

digital signal processingfunctional wiener filtersignal processingapplied mathematics

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3
4
5
10 / page

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applied artificial intelligence

intelligent computing

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pattern recognition

video content analysis

Prakash Ishwar

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information theory

information forensics

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network topology

Deniz Erdogmus

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visual information processing