Vilen Jumutc

According to our database, Vilen Jumutc authored at least 17 papers between 2010 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Hybrid Approach to Colony-Forming Unit Counting Problem Using Multi-Loss U-Net Reformulation.

Vilen Jumutc, Artjoms Suponenkovs, Andrey Bondarenko, Dmitrijs Bliznuks, Alexey Lihachev

Sensors, October, 2023

Multi-Loss U-Net Reformulation as an Efficient Solution to the Colony-Forming Unit Counting Problem.

Vilen Jumutc, Dmitrijs Bliznuks, Alexey Lihachev

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022

Multi-Path U-Net Architecture for Cell and Colony-Forming Unit Image Segmentation.

Vilen Jumutc, Dmitrijs Bliznuks, Alexey Lihachev

Sensors, 2022

2016

Reweighted stochastic learning.

Vilen Jumutc, Johan A. K. Suykens

Neurocomputing, 2016

Fast in-memory spectral clustering using a fixed-size approach.

Rocco Langone, Raghvendra Mall, Vilen Jumutc, Johan A. K. Suykens

Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

2015

Regularized and sparse stochastic k-means for distributed large-scale clustering.

Vilen Jumutc, Rocco Langone, Johan A. K. Suykens

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2014

Multi-Class Supervised Novelty Detection.

Vilen Jumutc, Johan A. K. Suykens

IEEE Trans. Pattern Anal. Mach. Intell., 2014

Reweighted l 2-Regularized Dual Averaging Approach for Highly Sparse Stochastic Learning.

Vilen Jumutc, Johan A. K. Suykens

Proceedings of the Advances in Neural Networks - ISNN 2014, 2014

Reweighted l1 Dual Averaging Approach for Sparse Stochastic Learning.

Vilen Jumutc, Johan A. K. Suykens

Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

New bilinear formulation to semi-supervised classification based on Kernel Spectral Clustering.

Vilen Jumutc, Johan A. K. Suykens

Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014

Representative subsets for big data learning using k-NN graphs.

Raghvendra Mall, Vilen Jumutc, Rocco Langone, Johan A. K. Suykens

Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

2013

Weighted Coordinate-Wise Pegasos.

Vilen Jumutc, Johan A. K. Suykens

Proceedings of the Pattern Recognition and Machine Intelligence, 2013

Fixed-size Pegasos for hinge and pinball loss SVM.

Vilen Jumutc, Xiaolin Huang, Johan A. K. Suykens

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Supervised Novelty Detection.

Vilen Jumutc, Johan A. K. Suykens

Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2013

2011

Ranking-Based Kernels in Applied Biomedical Diagnostics Using a Support Vector Machine.

Vilen Jumutc, Pawel Zayakin, Arkady Borisov

Int. J. Neural Syst., 2011

Polytope Classifier: A Symbolic Knowledge Extraction from Piecewise-Linear Support Vector Machine.

Vilen Jumutc, Andrey Bondarenko

Proceedings of the Knowledge-Based and Intelligent Information and Engineering Systems, 2011

2010

On the Power of Topological Kernel in Microarray-Based Detection of Cancer.

Vilen Jumutc, Pawel Zayakin

Proceedings of the Intelligent Data Engineering and Automated Learning, 2010