An MBO Scheme on Graphs for Classification and Image Processing. - Ekaterina Merkurjev; Tijana Kostic; Andrea L. Bertozzi (SIAM J. Imaging Sci., 2013)

Graph MBO method for multiclass segmentation of hyperspectral stand-off detection video. - Ekaterina Merkurjev; Justin Sunu; Andrea L. Bertozzi (ICIP, 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)

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)

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)

Variational and PDE-based methods for big data analysis, classification and image processing using graphs. - Ekaterina Merkurjev (2015)

Hyperspectral Image Classification Using Graph Clustering Methods. - Zhaoyi Meng; Ekaterina Merkurjev; Alice Koniges; Andrea L. Bertozzi (Image Process. Line, 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)

Auction dynamics: A volume constrained MBO scheme. - Matt Jacobs; Ekaterina Merkurjev; Selim Esedoglu (J. Comput. Phys., 2018)

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)

A graphical approach for multiclass classification and for correcting the labeling errors in mislabeled training data. - Ekaterina Merkurjev (Intell. Data Anal., 2021)

Integrating transformer and autoencoder techniques with spectral graph algorithms for the prediction of scarcely labeled molecular data. - Nicole Hayes; Ekaterina Merkurjev; Guo-Wei Wei 001 (Comput. Biol. Medicine, 2023)

Multiscale laplacian learning. - Ekaterina Merkurjev; Duc Duy Nguyen; Guowei Wei 001 (Appl. Intell., 2023)

Similarity graph-based max-flow and duality approaches for semi-supervised data classification and image segmentation. - Ekaterina Merkurjev (Int. J. Mach. Learn. Cybern., 2023)

Graph-Based Bidirectional Transformer Decision Threshold Adjustment Algorithm for Class-Imbalanced Molecular Data. - Nicole Hayes; Ekaterina Merkurjev; Guo-Wei Wei 001 (CoRR, 2024)

MALADY: Multiclass Active Learning with Auction Dynamics on Graphs. - Gokul Bhusal; Kevin Miller; Ekaterina Merkurjev (CoRR, 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)

Efficient graph-based spectral techniques for data with few labeled samples. - Ekaterina Merkurjev (Int. J. Data Sci. Anal., 2024)

Persistent Laplacian-enhanced algorithm for scarcely labeled data classification. - Gokul Bhusal; Ekaterina Merkurjev; Guo-Wei Wei 001 (Mach. Learn., 2024)

A General Framework for Group Sparsity in Hyperspectral Unmixing Using Endmember Bundles. - Gokul Bhusal; Yifei Lou; Cristina Garcia-Cardona; Ekaterina Merkurjev (CoRR, 2025)