Vojtech Molek

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 17

Top Topics

Unsupervised Learning

Top Venues

EUSFLAT/IWIFSGN (2)

Publications

Zahra Alijani, Vojtech Molek
Fractional Concepts in Neural Networks: Enhancing Activation and Loss Functions. CoRR (2023)
Vojtech Molek, Petr Hurtík, Pavel Vlasánek, David Adamczyk
Unproportional mosaicing. CoRR (2023)
Petr Hurtík, Vojtech Molek, Hana Zámecníková
Image Segmentation Losses with Modules Expressing a Relationship Between Predictions. IPMU (2) (2022)
Petr Hurtík, Vojtech Molek, Jan Hula, Marek Vajgl, Pavel Vlasánek, Tomas Nejezchleba
Poly-YOLO: higher speed, more precise detection and instance segmentation for YOLOv3. Neural Comput. Appl. 34 (10) (2022)
Jan Hula, David Adamczyk, David Mojzísek, Vojtech Molek
Segmenting out Generic Objects in Monocular Videos. ITAT (2021)
Vojtech Molek, Irina Perfilieva
F-Transform and Convolutional NN: Cross-Fertilization and Step Forward. FUZZ-IEEE (2020)
Petr Hurtík, Vojtech Molek, Jan Hula
Data Preprocessing Technique for Neural Networks Based on Image Represented by a Fuzzy Function. IEEE Trans. Fuzzy Syst. 28 (7) (2020)
Petr Hurtík, Vojtech Molek, Jan Hula, Marek Vajgl, Pavel Vlasánek, Tomas Nejezchleba
Poly-YOLO: higher speed, more precise detection and instance segmentation for YOLOv3. CoRR (2020)
Petr Hurtík, Vojtech Molek, Pavel Vlasánek
YOLO-ASC: You Only Look Once And See Contours. IJCNN (2020)
Petr Hurtík, Vojtech Molek, Irina Perfilieva
Novel dimensionality reduction approach for unsupervised learning on small datasets. Pattern Recognit. 103 (2020)
Vojtech Molek, Irina Perfilieva
Deep Learning and Higher Degree F-Transforms: Interpretable Kernels Before and After Learning. Int. J. Comput. Intell. Syst. 13 (1) (2020)
Vojtech Molek, Petr Hurtík
Training Neural Network Over Encrypted Data. DSMP (2020)
Vojtech Molek, Irina Perfilieva
Convolutional Neural Networks with Interpretable Kernels. IUKM (2019)
Petr Hurtík, Vojtech Molek
Fuzzy Preprocessing for Semi-supervised Image Classification in Modern Industry. IWANN (2) (2019)
Vojtech Molek, Irina Perfilieva
Scale-Space Theory, F-transform Kernels and CNN Realization. IWANN (2) (2019)
Vojtech Molek, Irina Perfilieva
Convolutional Neural Networks with the F-transform Kernels. IWANN (1) (2017)
Vojtech Molek
Image Contours Detection with Deep Features and SVM. EUSFLAT/IWIFSGN (2) (2017)