Faculty

Institution

Unit

Venue

Marco Duarte

Associate Professor

University of Massachusetts Amherst

Affiliations

College of Engineering

Electrical and Computer Engineering

Marco Duarte is currently serving as a College Of Engineering Associate Professor at University of Massachusetts Amherst.

Honors

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Experiences

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Education

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Marco Duarte

University of Massachusetts Amherst

Associate Professor

You can click a keyword to filter the displayed items

computer science signal processing machine learning computer vision electrical engineering pattern recognition compressive sensing applied mathematics digital signal processing engineering remote sensing image analysis information theory sparse representations signal reconstruction compressed sensing recovery statistical signal processing scientific computing machine vision transaction processing wavelet theory optical engineering data compression compressive parameter estimation sparse signals information technology biomedical imaging spectral theory computational intelligence distributed sensing earth observation localization mobile computing image compression geophysical signal processing hyperspectral imaging image reconstruction data fusion earth observation data graph processing feature selection x-ray fluorescence eeg signal processing state estimation location estimation graph sparsity estimation theory model compression compressive sampling model-based compressive sensing spectral compressive sensing random demodulation compressive imaging compressive classification joint manifolds polar interpolation k-median clustering jan van eyck interferer rejection knowledge discovery distributed systems speech processing information fusion geophysical research machine learning research numerical simulations reliability engineering distributed computing image coding signal detection positioning systems audio signal processing acoustic signal processing single-pixel imaging efficient sampling computational imaging approximation theory multidimensional signal processing

Notable Scholarly Works

Notable Federal Grants

Collaborators

CraméR–Rao Bounds for Doa Estimation of Sparse Bayesian Learning With the Laplace Prior. Sensors (2022)

Hua BaiMarco F. DuarteRamakrishna Janaswamy

cramer-rao boundsestimation theorymachine learningdoa estimationstate estimationstatistical inferencesparse bayesian learningstatistics

Binary Sequence Set Design for Interferer Rejection in Multi-Branch Modulation. IEEE Transactions on Signal Processing (2020)

Dian MoMarco F. Duarte

signal processingmulti-branch modulationinterferer rejectionelectrical engineeringdigital signal processing

Explainable Machine Learning for Scientific Insights and Discoveries. IEEE Access (2020)

Ribana RoscherBastian BohnMarco F. DuarteJochen Garcke

computer sciencescientific insightsknowledge discoverymachine learning

Explain It to Me – Facing Remote Sensing Challenges in the Bio- and Geosciences With Explainable Machine Learning. ISPRS annals of the photogrammetry, remote sensing and spatial information sciences (2020)

R. RoscherB. BohnM. F. DuarteJ. Garcke

earth scienceenvironmental scienceearth observationremote sensingbioinformaticsmachine learning

Autoencoder Based Sample Selection for Self-Taught Learning. Knowledge-Based Systems (2019)

Siwei FengHan YuMarco F. Duarte

computer sciencesample selectionself-taught learningmachine learning

Direction of Arrival Estimation for Complex Sources Through $\Ell _1$ Norm Sparse Bayesian Learning. IEEE Signal Processing Letters (2019)

Hua BaiMarco F. DuarteRamakrishna Janaswamy

computer sciencesignal processingstate estimationsparse representationsstatistical signal processingelectrical engineeringeeg signal processingdigital signal processingarrival estimationcomplex sourcesapplied mathematicsmachine learning

Few-Shot Learning-Based Human Activity Recognition. Expert Systems with Applications (2019)

Siwei FengMarco F. Duarte

artificial intelligencecomputer sciencesystems engineeringcomputer visionfew-shot learningbiometricsdata sciencepattern recognitionmachine learning

A Novel Crowd-Resilient Visual Localization Algorithm via Robust Pca Background Extraction. (2018)

Zhuorui YangMarco F. DuarteAura Ganz

wireless communicationscomputer sciencesystems engineeringlocation estimationcomputer visiondeep learningvisualizationcrowd computinglocalizationobject recognitionmobile computingdata sciencemachine visionsupport vector machinesscene analysispattern recognitionmachine learning

Design of Spectrally Shaped Binary Sequences via Randomized Convex Relaxation. arXiv (Cornell University) (2018)

Dian MoMarco F. Duarte

binary sequencesapplied mathematicstheoretical computer sciencespectral theorybioinformatics

Graph Autoencoder-Based Unsupervised Feature Selection With Broad and Local Data Structure Preservation. Neurocomputing (2018)

Siwei FengMarco F. Duarte

neuroinformaticscomputer sciencegraph processingcomputer visiondeep learningscientific computingneuroscienceunsupervised machine learningfeature selectionmachine learning researchcognitive sciencecomputational neuroscienceneurocomputerspattern recognitionmachine learning

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Marco Duarte

Associate Professor

University of Massachusetts Amherst

Affiliations

College of Engineering

Electrical and Computer Engineering

Marco Duarte is currently serving as a College Of Engineering Associate Professor at University of Massachusetts Amherst.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Marco Duarte

University of Massachusetts Amherst

Associate Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

CraméR–Rao Bounds for Doa Estimation of Sparse Bayesian Learning With the Laplace Prior. Sensors (2022)

Hua BaiMarco F. DuarteRamakrishna Janaswamy

cramer-rao boundsestimation theorymachine learningdoa estimationstate estimationstatistical inferencesparse bayesian learningstatistics

Binary Sequence Set Design for Interferer Rejection in Multi-Branch Modulation. IEEE Transactions on Signal Processing (2020)

Dian MoMarco F. Duarte

signal processingmulti-branch modulationinterferer rejectionelectrical engineeringdigital signal processing

Explainable Machine Learning for Scientific Insights and Discoveries. IEEE Access (2020)

Ribana RoscherBastian BohnMarco F. DuarteJochen Garcke

computer sciencescientific insightsknowledge discoverymachine learning

R. RoscherB. BohnM. F. DuarteJ. Garcke

earth scienceenvironmental scienceearth observationremote sensingbioinformaticsmachine learning

Autoencoder Based Sample Selection for Self-Taught Learning. Knowledge-Based Systems (2019)

Siwei FengHan YuMarco F. Duarte

computer sciencesample selectionself-taught learningmachine learning

Direction of Arrival Estimation for Complex Sources Through $\Ell _1$ Norm Sparse Bayesian Learning. IEEE Signal Processing Letters (2019)

Hua BaiMarco F. DuarteRamakrishna Janaswamy

Few-Shot Learning-Based Human Activity Recognition. Expert Systems with Applications (2019)

Siwei FengMarco F. Duarte

artificial intelligencecomputer sciencesystems engineeringcomputer visionfew-shot learningbiometricsdata sciencepattern recognitionmachine learning

A Novel Crowd-Resilient Visual Localization Algorithm via Robust Pca Background Extraction. (2018)

Zhuorui YangMarco F. DuarteAura Ganz

Design of Spectrally Shaped Binary Sequences via Randomized Convex Relaxation. arXiv (Cornell University) (2018)

Dian MoMarco F. Duarte

binary sequencesapplied mathematicstheoretical computer sciencespectral theorybioinformatics

Graph Autoencoder-Based Unsupervised Feature Selection With Broad and Local Data Structure Preservation. Neurocomputing (2018)

Siwei FengMarco F. Duarte

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Similar Faculty Members

Kenneth Barner

Institution

University of Delaware

signal sampling

rehabilitation

Ahmet Enis Cetin

Institution

University of Illinois Chicago

deep learning

image classification

Yuejie Chi

Institution

Carnegie Mellon University

signal processing

computational optimization

Vishal Monga

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image classification

applied artificial intelligence

Dan Schonfeld

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pattern recognition

video content analysis

Jelena Kovaćević

Institution

New York University

biometric recognition

wavelet

Gonzalo R. Arce

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computational imaging

statistics

Michael B. Wakin

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digital image processing

image compression

Vivek K Goyal

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intelligent processing

computational imaging

Anand Rangarajan

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visual diagnosis

medical image computing