Image Contours Detection with Deep Features and SVM. - Vojtech Molek (EUSFLAT/IWIFSGN (2), 2017)

Convolutional Neural Networks with the F-transform Kernels. - Vojtech Molek; Irina Perfilieva (IWANN (1), 2017)

Convolutional Neural Networks with Interpretable Kernels. - Vojtech Molek; Irina Perfilieva (IUKM, 2019)

Fuzzy Preprocessing for Semi-supervised Image Classification in Modern Industry. - Petr Hurtík; Vojtech Molek (IWANN (2), 2019)

Scale-Space Theory, F-transform Kernels and CNN Realization. - Vojtech Molek; Irina Perfilieva (IWANN (2), 2019)

Training Neural Network Over Encrypted Data. - Vojtech Molek; Petr Hurtík (DSMP, 2020)

F-Transform and Convolutional NN: Cross-Fertilization and Step Forward. - Vojtech Molek; Irina Perfilieva (FUZZ-IEEE, 2020)

YOLO-ASC: You Only Look Once And See Contours. - Petr Hurtík; Vojtech Molek; Pavel Vlasánek (IJCNN, 2020)

Deep Learning and Higher Degree F-Transforms: Interpretable Kernels Before and After Learning. - Vojtech Molek; Irina Perfilieva (Int. J. Comput. Intell. Syst., 2020)

Novel dimensionality reduction approach for unsupervised learning on small datasets. - Petr Hurtík; Vojtech Molek; Irina Perfilieva (Pattern Recognit., 2020)

Data Preprocessing Technique for Neural Networks Based on Image Represented by a Fuzzy Function. - Petr Hurtík; Vojtech Molek; Jan Hula (IEEE Trans. Fuzzy Syst., 2020)

Segmenting out Generic Objects in Monocular Videos. - Jan Hula; David Adamczyk; David Mojzísek; Vojtech Molek (ITAT, 2021)

Image Segmentation Losses with Modules Expressing a Relationship Between Predictions. - Petr Hurtík; Vojtech Molek; Hana Zámecníková (IPMU (2), 2022)

Poly-YOLO: higher speed, more precise detection and instance segmentation for YOLOv3. - Petr Hurtík; Vojtech Molek; Jan Hula; Marek Vajgl; Pavel Vlasánek; Tomas Nejezchleba (Neural Comput. Appl., 2022)

Unproportional mosaicing. - Vojtech Molek; Petr Hurtík; Pavel Vlasánek; David Adamczyk (CoRR, 2023)

Fractional Concepts in Neural Networks: Enhancing Activation and Loss Functions. - Zahra Alijani; Vojtech Molek (CoRR, 2023)

Fractional concepts in neural networks: Enhancing activation functions. - Vojtech Molek; Zahra Alijani (Pattern Recognit. Lett., 2025)

Virtual neural networks: hundreds of souls in a body. - Petr Hurtík; Marek Vajgl; Zahra Alijani; Vojtech Molek (Neural Comput. Appl., 2025)