Ekaterina Merkurjev

According to our database, Ekaterina Merkurjev authored at least 19 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Persistent Laplacian-enhanced algorithm for scarcely labeled data classification.

Gokul Bhusal, Ekaterina Merkurjev, Guo-Wei Wei

Mach. Learn., October, 2024

Efficient graph-based spectral techniques for data with few labeled samples.

Ekaterina Merkurjev

Int. J. Data Sci. Anal., August, 2024

Detection and tracking of gas plumes in LWIR hyperspectral video sequence data.

Torin Gerhart, Justin Sunu, Ekaterina Merkurjev, Jen-Mei Chang, Jérôme Gilles, Andrea L. Bertozzi

CoRR, 2024

MALADY: Multiclass Active Learning with Auction Dynamics on Graphs.

Gokul Bhusal, Kevin Miller, Ekaterina Merkurjev

CoRR, 2024

Graph-Based Bidirectional Transformer Decision Threshold Adjustment Algorithm for Class-Imbalanced Molecular Data.

Nicole Hayes, Ekaterina Merkurjev, Guo-Wei Wei

CoRR, 2024

2023

Similarity graph-based max-flow and duality approaches for semi-supervised data classification and image segmentation.

Ekaterina Merkurjev

Int. J. Mach. Learn. Cybern., December, 2023

Multiscale laplacian learning.

Ekaterina Merkurjev, Duc Duy Nguyen, Guowei Wei

Appl. Intell., June, 2023

Integrating transformer and autoencoder techniques with spectral graph algorithms for the prediction of scarcely labeled molecular data.

Nicole Hayes, Ekaterina Merkurjev, Guo-Wei Wei

Comput. Biol. Medicine, February, 2023

2021

A graphical approach for multiclass classification and for correcting the labeling errors in mislabeled training data.

Ekaterina Merkurjev

Intell. Data Anal., 2021

2020

A fast graph-based data classification method with applications to 3D sensory data in the form of point clouds.

Ekaterina Merkurjev

Pattern Recognit. Lett., 2020

2018

Auction dynamics: A volume constrained MBO scheme.

Matt Jacobs, Ekaterina Merkurjev, Selim Esedoglu

J. Comput. Phys., 2018

2017

Convex Variational Methods on Graphs for Multiclass Segmentation of High-Dimensional Data and Point Clouds.

Egil Bae, Ekaterina Merkurjev

J. Math. Imaging Vis., 2017

Hyperspectral Image Classification Using Graph Clustering Methods.

Zhaoyi Meng, Ekaterina Merkurjev, Alice Koniges, Andrea L. Bertozzi

Image Process. Line, 2017

2015

Variational and PDE-based methods for big data analysis, classification and image processing using graphs.

Ekaterina Merkurjev

PhD thesis, 2015

Global Binary Optimization on Graphs for Classification of High-Dimensional Data.

Ekaterina Merkurjev, Egil Bae, Andrea L. Bertozzi, Xue-Cheng Tai

J. Math. Imaging Vis., 2015

2014

Multiclass Data Segmentation Using Diffuse Interface Methods on Graphs.

Cristina Garcia-Cardona, Ekaterina Merkurjev, Andrea L. Bertozzi, Arjuna Flenner, Allon G. Percus

IEEE Trans. Pattern Anal. Mach. Intell., 2014

Diffuse interface methods for multiclass segmentation of high-dimensional data.

Ekaterina Merkurjev, Cristina Garcia-Cardona, Andrea L. Bertozzi, Arjuna Flenner, Allon G. Percus

Appl. Math. Lett., 2014

Graph MBO method for multiclass segmentation of hyperspectral stand-off detection video.

Ekaterina Merkurjev, Justin Sunu, Andrea L. Bertozzi

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2013

An MBO Scheme on Graphs for Classification and Image Processing.

Ekaterina Merkurjev, Tijana Kostic, Andrea L. Bertozzi

SIAM J. Imaging Sci., 2013