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ORCIDEkaterina Merkurjev
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2020 – today
- 2024
[j14]Ekaterina Merkurjev:
Efficient graph-based spectral techniques for data with few labeled samples. Int. J. Data Sci. Anal. 18(2): 113-138 (2024)- [j13]Gokul Bhusal, Ekaterina Merkurjev, Guo-Wei Wei:
Persistent Laplacian-enhanced algorithm for scarcely labeled data classification. Mach. Learn. 113(10): 7267-7292 (2024) - [i5]Nicole Hayes, Ekaterina Merkurjev, Guo-Wei Wei:
Graph-Based Bidirectional Transformer Decision Threshold Adjustment Algorithm for Class-Imbalanced Molecular Data. CoRR abs/2406.06479 (2024) - [i4]Gokul Bhusal, Kevin Miller, Ekaterina Merkurjev:
MALADY: Multiclass Active Learning with Auction Dynamics on Graphs. CoRR abs/2409.09475 (2024) - 2023
- [j12]Ekaterina Merkurjev
, Duc Duy Nguyen, Guowei Wei:
Multiscale laplacian learning. Appl. Intell. 53(12): 15727-15746 (2023) - [j11]Nicole Hayes, Ekaterina Merkurjev, Guo-Wei Wei:
Integrating transformer and autoencoder techniques with spectral graph algorithms for the prediction of scarcely labeled molecular data. Comput. Biol. Medicine 153: 106479 (2023) - [j10]Ekaterina Merkurjev:
Similarity graph-based max-flow and duality approaches for semi-supervised data classification and image segmentation. Int. J. Mach. Learn. Cybern. 14(12): 4285-4310 (2023) - [i3]Gokul Bhusal, Ekaterina Merkurjev, Guo-Wei Wei:
Persistent Laplacian-enhanced Algorithm for Scarcely Labeled Data Classification. CoRR abs/2305.16239 (2023) - 2022
- [i2]Nicole Hayes, Ekaterina Merkurjev, Guo-Wei Wei:
Integrating Transformer and Autoencoder Techniques with Spectral Graph Algorithms for the Prediction of Scarcely Labeled Molecular Data. CoRR abs/2211.06759 (2022) - 2021
- [j9]Ekaterina Merkurjev:
A graphical approach for multiclass classification and for correcting the labeling errors in mislabeled training data. Intell. Data Anal. 25(4): 879-906 (2021) - [i1]Ekaterina Merkurjev, Duc Duy Nguyen, Guo-Wei Wei:
Multiscale Laplacian Learning. CoRR abs/2109.03718 (2021) - 2020
- [j8]Ekaterina Merkurjev:
A fast graph-based data classification method with applications to 3D sensory data in the form of point clouds. Pattern Recognit. Lett. 136: 154-160 (2020)
2010 – 2019
- 2018
- [j7]Matt Jacobs, Ekaterina Merkurjev, Selim Esedoglu:
Auction dynamics: A volume constrained MBO scheme. J. Comput. Phys. 354: 288-310 (2018) - 2017
- [j6]Zhaoyi Meng, Ekaterina Merkurjev, Alice Koniges, Andrea L. Bertozzi:
Hyperspectral Image Classification Using Graph Clustering Methods. Image Process. Line 7: 218-245 (2017) - [j5]Egil Bae, Ekaterina Merkurjev:
Convex Variational Methods on Graphs for Multiclass Segmentation of High-Dimensional Data and Point Clouds. J. Math. Imaging Vis. 58(3): 468-493 (2017) - 2015
- [b1]Ekaterina Merkurjev:
Variational and PDE-based methods for big data analysis, classification and image processing using graphs. University of California, Los Angeles, USA, 2015 - [j4]Ekaterina Merkurjev, Egil Bae, Andrea L. Bertozzi, Xue-Cheng Tai:
Global Binary Optimization on Graphs for Classification of High-Dimensional Data. J. Math. Imaging Vis. 52(3): 414-435 (2015) - 2014
- [j3]Ekaterina Merkurjev, Cristina Garcia-Cardona, Andrea L. Bertozzi, Arjuna Flenner, Allon G. Percus:
Diffuse interface methods for multiclass segmentation of high-dimensional data. Appl. Math. Lett. 33: 29-34 (2014) - [j2]Cristina Garcia-Cardona, Ekaterina Merkurjev, Andrea L. Bertozzi, Arjuna Flenner, Allon G. Percus:
Multiclass Data Segmentation Using Diffuse Interface Methods on Graphs. IEEE Trans. Pattern Anal. Mach. Intell. 36(8): 1600-1613 (2014) - [c1]Ekaterina Merkurjev, Justin Sunu, Andrea L. Bertozzi:
Graph MBO method for multiclass segmentation of hyperspectral stand-off detection video. ICIP 2014: 689-693 - 2013
- [j1]Ekaterina Merkurjev, Tijana Kostic, Andrea L. Bertozzi:
An MBO Scheme on Graphs for Classification and Image Processing. SIAM J. Imaging Sci. 6(4): 1903-1930 (2013)
Coauthor Index
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