Vojtech Molek

Orcid: 0000-0002-0499-0481

According to our database1, Vojtech Molek authored at least 16 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Fractional Concepts in Neural Networks: Enhancing Activation and Loss Functions.
CoRR, 2023

Unproportional mosaicing.
CoRR, 2023

2022
Poly-YOLO: higher speed, more precise detection and instance segmentation for YOLOv3.
Neural Comput. Appl., 2022

Image Segmentation Losses with Modules Expressing a Relationship Between Predictions.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2022

2021
Segmenting out Generic Objects in Monocular Videos.
Proceedings of the 21st Conference Information Technologies, 2021

2020
Data Preprocessing Technique for Neural Networks Based on Image Represented by a Fuzzy Function.
IEEE Trans. Fuzzy Syst., 2020

Novel dimensionality reduction approach for unsupervised learning on small datasets.
Pattern Recognit., 2020

Deep Learning and Higher Degree F-Transforms: Interpretable Kernels Before and After Learning.
Int. J. Comput. Intell. Syst., 2020

YOLO-ASC: You Only Look Once And See Contours.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

F-Transform and Convolutional NN: Cross-Fertilization and Step Forward.
Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020

Training Neural Network Over Encrypted Data.
Proceedings of the IEEE Third International Conference on Data Stream Mining, Processing, 2020

2019
Scale-Space Theory, F-transform Kernels and CNN Realization.
Proceedings of the Advances in Computational Intelligence, 2019

Fuzzy Preprocessing for Semi-supervised Image Classification in Modern Industry.
Proceedings of the Advances in Computational Intelligence, 2019

Convolutional Neural Networks with Interpretable Kernels.
Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2019

2017
Convolutional Neural Networks with the F-transform Kernels.
Proceedings of the Advances in Computational Intelligence, 2017

Image Contours Detection with Deep Features and SVM.
Proceedings of the Advances in Fuzzy Logic and Technology 2017 - Proceedings of: EUSFLAT- 2017 - The 10th Conference of the European Society for Fuzzy Logic and Technology, September 11-15, 2017, Warsaw, Poland IWIFSGN'2017, 2017


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