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ORCIDVilen Jumutc
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- affiliation: KU Leuven, Belgium
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2020 – today
- 2023
[j5]Vilen Jumutc
, Artjoms Suponenkovs, Andrey Bondarenko, Dmitrijs Bliznuks, Alexey Lihachev:
Hybrid Approach to Colony-Forming Unit Counting Problem Using Multi-Loss U-Net Reformulation. Sensors 23(19): 8337 (2023)- [c12]Vilen Jumutc, Dmitrijs Bliznuks, Alexey Lihachev:
Multi-Loss U-Net Reformulation as an Efficient Solution to the Colony-Forming Unit Counting Problem. EMBC 2023: 1-5 - 2022
- [j4]Vilen Jumutc, Dmitrijs Bliznuks, Alexey Lihachev:
Multi-Path U-Net Architecture for Cell and Colony-Forming Unit Image Segmentation. Sensors 22(3): 990 (2022)
2010 – 2019
- 2016
- [j3]Vilen Jumutc, Johan A. K. Suykens:
Reweighted stochastic learning. Neurocomputing 198: 135-147 (2016) - [c11]Rocco Langone, Raghvendra Mall, Vilen Jumutc, Johan A. K. Suykens:
Fast in-memory spectral clustering using a fixed-size approach. ESANN 2016 - 2015
- [c10]Vilen Jumutc, Rocco Langone, Johan A. K. Suykens:
Regularized and sparse stochastic k-means for distributed large-scale clustering. IEEE BigData 2015: 2535-2540 - 2014
- [j2]Vilen Jumutc, Johan A. K. Suykens:
Multi-Class Supervised Novelty Detection. IEEE Trans. Pattern Anal. Mach. Intell. 36(12): 2510-2523 (2014) - [c9]Raghvendra Mall, Vilen Jumutc, Rocco Langone, Johan A. K. Suykens:
Representative subsets for big data learning using k-NN graphs. IEEE BigData 2014: 37-42 - [c8]Vilen Jumutc, Johan A. K. Suykens:
New bilinear formulation to semi-supervised classification based on Kernel Spectral Clustering. CIDM 2014: 41-47 - [c7]Vilen Jumutc, Johan A. K. Suykens:
Reweighted l1 Dual Averaging Approach for Sparse Stochastic Learning. ESANN 2014 - [c6]Vilen Jumutc, Johan A. K. Suykens:
Reweighted l 2-Regularized Dual Averaging Approach for Highly Sparse Stochastic Learning. ISNN 2014: 232-242 - 2013
- [c5]Vilen Jumutc, Johan A. K. Suykens:
Supervised Novelty Detection. CIDM 2013: 143-149 - [c4]Vilen Jumutc, Xiaolin Huang, Johan A. K. Suykens:
Fixed-size Pegasos for hinge and pinball loss SVM. IJCNN 2013: 1-7 - [c3]Vilen Jumutc, Johan A. K. Suykens:
Weighted Coordinate-Wise Pegasos. PReMI 2013: 262-269 - 2011
- [j1]Vilen Jumutc, Pawel Zayakin, Arkady Borisov:
Ranking-Based Kernels in Applied Biomedical Diagnostics Using a Support Vector Machine. Int. J. Neural Syst. 21(6): 459-473 (2011) - [c2]Vilen Jumutc, Andrey Bondarenko:
Polytope Classifier: A Symbolic Knowledge Extraction from Piecewise-Linear Support Vector Machine. KES (1) 2011: 62-71 - 2010
- [c1]Vilen Jumutc, Pawel Zayakin:
On the Power of Topological Kernel in Microarray-Based Detection of Cancer. IDEAL 2010: 70-77
Coauthor Index
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