Jeff Calder

Jeff Calder

University of Minnesota-Twin Cities

H-index: 19

North America-United States

About Jeff Calder

Jeff Calder, With an exceptional h-index of 19 and a recent h-index of 17 (since 2020), a distinguished researcher at University of Minnesota-Twin Cities, specializes in the field of Partial Differential Equations, Viscosity Solutions, Applied Probability, Numerical Schemes, Image Processing and Computer Visio.

His recent articles reflect a diverse array of research interests and contributions to the field:

Using machine learning on new feature sets extracted from three-dimensional models of broken animal bones to classify fragments according to break agent

Consistency of semi-supervised learning, stochastic tug-of-war games, and the p-Laplacian

Poisson Reweighted Laplacian Uncertainty Sampling for Graph-Based Active Learning

Monotone discretizations of levelset convex geometric PDEs

Online Prediction with History‐Dependent Experts: The General Case

Uniform convergence rates for Lipschitz learning on graphs

Novel batch active learning approach and its application on the synthetic aperture radar datasets

Deep semi-supervised label propagation for SAR image classification

Jeff Calder Information

University

Position

Assistant Professor

Citations(all)

1200

Citations(since 2020)

944

Cited By

522

hIndex(all)

19

hIndex(since 2020)

17

i10Index(all)

33

i10Index(since 2020)

29

Email

University Profile Page

Google Scholar

Jeff Calder Skills & Research Interests

Partial Differential Equations

Viscosity Solutions

Applied Probability

Numerical Schemes

Image Processing and Computer Visio

Top articles of Jeff Calder

Using machine learning on new feature sets extracted from three-dimensional models of broken animal bones to classify fragments according to break agent

Journal of Human Evolution

2024/2/1

Consistency of semi-supervised learning, stochastic tug-of-war games, and the p-Laplacian

arXiv preprint arXiv:2401.07463

2024/1/15

Jeff Calder
Jeff Calder

H-Index: 12

Poisson Reweighted Laplacian Uncertainty Sampling for Graph-Based Active Learning

SIAM Journal on Mathematics of Data Science

2023/12/31

Kevin Miller
Kevin Miller

H-Index: 20

Jeff Calder
Jeff Calder

H-Index: 12

Monotone discretizations of levelset convex geometric PDEs

arXiv preprint arXiv:2310.08450

2023/10/12

Jeff Calder
Jeff Calder

H-Index: 12

Wonjun Lee
Wonjun Lee

H-Index: 31

Online Prediction with History‐Dependent Experts: The General Case

Communications on Pure and Applied Mathematics

2023/9

Jeff Calder
Jeff Calder

H-Index: 12

Uniform convergence rates for Lipschitz learning on graphs

IMA Journal of Numerical Analysis

2023/7

Novel batch active learning approach and its application on the synthetic aperture radar datasets

2023/6/13

Deep semi-supervised label propagation for SAR image classification

2023/6/13

Jeff Calder
Jeff Calder

H-Index: 12

Andrea Bertozzi
Andrea Bertozzi

H-Index: 46

Utilizing contrastive learning for graph-based active learning of SAR data

2023/6/13

Jason Brown
Jason Brown

H-Index: 11

Jeff Calder
Jeff Calder

H-Index: 12

Discrete to continuum convergence rates in graph-based learning at percolation length scales

2023 Joint Mathematics Meetings (JMM 2023)

2023/1/5

Jeff Calder
Jeff Calder

H-Index: 12

Ratio convergence rates for Euclidean first-passage percolation: applications to the graph infinity Laplacian

The Annals of Applied Probability

2024

Use and misuse of machine learning in anthropology

IEEE BITS the Information Theory Magazine

2022/9/13

Jeff Calder
Jeff Calder

H-Index: 12

Katrina Yezzi-Woodley
Katrina Yezzi-Woodley

H-Index: 1

Analysis and algorithms for ℓp-based semi-supervised learning on graphs

Applied and Computational Harmonic Analysis

2022/9

Jeff Calder
Jeff Calder

H-Index: 12

Gilad Lerman
Gilad Lerman

H-Index: 19

Improved spectral convergence rates for graph Laplacians on ε-graphs and k-NN graphs

Applied and Computational Harmonic Analysis

2022/9/1

Jeff Calder
Jeff Calder

H-Index: 12

Boundary estimation from point clouds: Algorithms, guarantees and applications

Journal of Scientific Computing

2022/8

Jeff Calder
Jeff Calder

H-Index: 12

Dejan Slepčev
Dejan Slepčev

H-Index: 18

Graph-based active learning for semi-supervised classification of SAR data

2022/5/31

The Batch Artifact Scanning Protocol: A new method using computed tomography (CT) to rapidly create three-dimensional models of objects from large collections en masse

arXiv preprint arXiv:2205.02691

2022/5/5

Katrina Yezzi-Woodley
Katrina Yezzi-Woodley

H-Index: 1

Jeff Calder
Jeff Calder

H-Index: 12

Two-stage variational image segmentation of medical images using fracture mechanics

2022/2/22

Hamilton-Jacobi equations on graphs with applications to semi-supervised learning and data depth

Journal of Machine Learning Research

2022

Jeff Calder
Jeff Calder

H-Index: 12

Lipschitz regularity of graph Laplacians on random data clouds

SIAM Journal on Mathematical Analysis

2022

Jeff Calder
Jeff Calder

H-Index: 12

Marta Lewicka
Marta Lewicka

H-Index: 15

See List of Professors in Jeff Calder University(University of Minnesota-Twin Cities)

Co-Authors

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