Vilen Jumutc - RankMe

17 papers B 3C 4Journal 5Unranked 5

Year	Rank	Type	Title / 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