Vilen Jumutc

17 papers B 3C 4Journal 5Unranked 5
YearRankTypeTitle / Venue / Authors
2023 J jnl
Hybrid Approach to Colony-Forming Unit Counting Problem Using Multi-Loss U-Net Reformulation.
Sensors
Vilen Jumutc, Artjoms Suponenkovs, Andrey Bondarenko, Dmitrijs Bliznuks, Alexey Lihachev
2023 — conf
Multi-Loss U-Net Reformulation as an Efficient Solution to the Colony-Forming Unit Counting Problem.
EMBC
Vilen Jumutc, Dmitrijs Bliznuks, Alexey Lihachev
2022 J jnl
Multi-Path U-Net Architecture for Cell and Colony-Forming Unit Image Segmentation.
Sensors
Vilen Jumutc, Dmitrijs Bliznuks, Alexey Lihachev
2016 B conf
Fast in-memory spectral clustering using a fixed-size approach.
ESANN
Rocco Langone, Raghvendra Mall, Vilen Jumutc, Johan A. K. Suykens
2016 J jnl
Reweighted stochastic learning.
Neurocomputing
Vilen Jumutc, Johan A. K. Suykens
2015 — conf
Regularized and sparse stochastic k-means for distributed large-scale clustering.
IEEE BigData
Vilen Jumutc, Rocco Langone, Johan A. K. Suykens
2014 J jnl
Multi-Class Supervised Novelty Detection.
IEEE Trans. Pattern Anal. Mach. Intell.
Vilen Jumutc, Johan A. K. Suykens
2014 C conf
New bilinear formulation to semi-supervised classification based on Kernel Spectral Clustering.
CIDM
Vilen Jumutc, Johan A. K. Suykens
2014 — conf
Representative subsets for big data learning using k-NN graphs.
IEEE BigData
Raghvendra Mall, Vilen Jumutc, Rocco Langone, Johan A. K. Suykens
2014 C conf
Reweighted l 2-Regularized Dual Averaging Approach for Highly Sparse Stochastic Learning.
ISNN
Vilen Jumutc, Johan A. K. Suykens
2014 B conf
Reweighted l1 Dual Averaging Approach for Sparse Stochastic Learning.
ESANN
Vilen Jumutc, Johan A. K. Suykens
2013 B conf
Fixed-size Pegasos for hinge and pinball loss SVM.
IJCNN
Vilen Jumutc, Xiaolin Huang, Johan A. K. Suykens
2013 C conf
Supervised Novelty Detection.
CIDM
Vilen Jumutc, Johan A. K. Suykens
2013 — conf
Weighted Coordinate-Wise Pegasos.
PReMI
Vilen Jumutc, Johan A. K. Suykens
2011 — conf
Polytope Classifier: A Symbolic Knowledge Extraction from Piecewise-Linear Support Vector Machine.
KES (1)
Vilen Jumutc, Andrey Bondarenko
2011 J jnl
Ranking-Based Kernels in Applied Biomedical Diagnostics Using a Support Vector Machine.
Int. J. Neural Syst.
Vilen Jumutc, Pawel Zayakin, Arkady Borisov
2010 C conf
On the Power of Topological Kernel in Microarray-Based Detection of Cancer.
IDEAL
Vilen Jumutc, Pawel Zayakin