UO > About > Organizational Structure > Faculties & Institutes > Centre of Excellence IT4Innovations, division of UO, Institute for Research and Applications of Fuzzy Modeling

Vojtěch Molek


Academic degree, name, surname:Mgr. Vojtěch Molek
Room, floor, building: C 713, Building C
Position:
Research interests and teaching:image processing, deep learning
Department (Faculty): Institute for Research and Applications of Fuzzy Modeling
Phone number, mobile: +420 553 46 1414
E-mail:
Personal website:



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Novel dimensionality reduction approach for unsupervised learning on small datasets
Petr Hurtík, Vojtěch Molek, Irina Perfiljeva
Year: 2020, Pattern Recognition
journal article

Poly-YOLO
Jan Hůla, Vojtěch Molek, Petr Hurtík, Marek Vajgl, Pavel Vlašánek
Year: 2020
software

Training neural network over encrypted data
Vojtěch Molek, Petr Hurtík
Year: 2020
abstract in proceedings

Classification of dragonflies with computationally restricted deep neural network
Vojtěch Molek, Stanislav Ožana, Michal HYKEL
Year: 2019
abstract in proceedings

Data Preprocessing Technique for Neural Networks Based on Image Represented by a Fuzzy Function
Petr Hurtík, Vojtěch Molek, Jan Hůla
Year: 2019, IEEE Transactions on Fuzzy Systems
journal article

Synthetic dataset for compositional learning
Vojtěch Molek, Jan HŮLA
Year: 2018
abstract in proceedings

Continuous spatial pooling
Vojtěch Molek, Petr Hurtík, Pavel Vlašánek
Year: 2020
presentations (congresses, symposia, conferences, workshops)

F-Transform and Convolutional NN:Cross-Fertilization and Step Forward
Vojtěch Molek, Irina Perfiljeva
Year: 2020
abstract in proceedings

Novel dimensionality reduction approach for unsupervised learning on small datasets
Petr Hurtík, Vojtěch Molek, Irina Perfiljeva
Year: 2020, Pattern Recognition
journal article

Poly-YOLO
Jan Hůla, Vojtěch Molek, Petr Hurtík, Marek Vajgl, Pavel Vlašánek
Year: 2020
software

Training neural network over encrypted data
Vojtěch Molek, Petr Hurtík
Year: 2020
abstract in proceedings

YOLO-ASC: You Only Look Once And See Contours
Petr Hurtík, Vojtěch Molek, Pavel Vlašánek
Year: 2020
abstract in proceedings

Classification of dragonflies with computationally restricted deep neural network
Vojtěch Molek, Stanislav Ožana, Michal HYKEL
Year: 2019
abstract in proceedings

Convolutional Neural Networks with Interpretable Kernels
Vojtěch Molek, Irina Perfiljeva
Year: 2019
abstract in proceedings

Data Preprocessing Technique for Neural Networks Based on Image Represented by a Fuzzy Function
Petr Hurtík, Vojtěch Molek, Jan Hůla
Year: 2019, IEEE Transactions on Fuzzy Systems
journal article

Dragonflies classification with Convolutional Neural Networks
Vojtěch Molek, Stanislav Ožana, Michal HYKEL
Year: 2019
abstract in proceedings

Fuzzy preprocessing for semi-supervised image classification in modern industry
Petr Hurtík, Vojtěch Molek
Year: 2019
abstract in proceedings

How difficult is it to turn an amateur into an ?expert? in Odonata identification?
Stanislav Ožana, Vojtěch Molek, Michal Hykel, Michal Burda, Marek Malina, Martin Prášek, Aleš Dolný ... other authors
Year: 2019
presentations (congresses, symposia, conferences, workshops)

Jak těžké je učinit amatéra odborníkem na determinaci organismů?
Stanislav Ožana, Vojtěch Molek, Michal HYKEL, Michal Burda, Marek Malina, Martin Prášek, Aleš Dolný ... other authors
Year: 2019
presentations (congresses, symposia, conferences, workshops)

Refining boundaries of YOLO detector
Vojtěch Molek, Petr Hurtík
Year: 2019
presentations (congresses, symposia, conferences, workshops)

Scale-Space Theory, F-transform kernels and CNN Realization
Vojtěch Molek, Irina Perfiljeva
Year: 2019
abstract in proceedings

Universal preprocessing for Neural Networks given by Image Represented by a Fuzzy Function
Petr Hurtík, Vojtěch Molek, Jan HŮLA
Year: 2019
abstract in proceedings

Discovering basic kernels in the first layer of a CNN
Vojtěch Molek, Irina Perfiljeva
Year: 2018
abstract in proceedings

Discovering basic kernels in the first layer of a CNN
Vojtěch Molek, Irina Perfiljeva
Year: 2018
presentations (congresses, symposia, conferences, workshops)

Dragonflies classification with CNN
Vojtěch Molek
Year: 2018
presentations (congresses, symposia, conferences, workshops)

Image contours detection with deep features and SVM
Vojtěch Molek
Year: 2018
abstract in proceedings

Implementing Ft kernels into Convolutional Neural Networks
Vojtěch Molek
Year: 2018
presentations (congresses, symposia, conferences, workshops)

International Student Conference on Applied Mathematics and Informatics
Vojtěch Molek
Year: 2018
organizing conference, workshop

Synthetic dataset for compositional learning
Vojtěch Molek, Jan HŮLA
Year: 2018
presentations (congresses, symposia, conferences, workshops)

Synthetic dataset for compositional learning
Vojtěch Molek, Jan HŮLA
Year: 2018
abstract in proceedings

Convolutional Neural Networks with the F-transform Kernels
Vojtěch Molek, Irina Perfiljeva
Year: 2017
abstract in proceedings

Convolutional Neural Networks with the F-transform Kernels
Vojtěch Molek, Irina Perfiljeva
Year: 2017
presentations (congresses, symposia, conferences, workshops)

Image contours detection with deep features
Vojtěch Molek
Year: 2017
presentations (congresses, symposia, conferences, workshops)

Image contours detection with deep features and SVM
Vojtěch Molek
Year: 2017
presentations (congresses, symposia, conferences, workshops)

International Student Conference on Applied Mathematics and Informatics
Vojtěch Molek
Year: 2017
organizing conference, workshop

Computer graphics algorithms and structures - Workbook
Alexej Kolcun, Pavel Vlašánek, Vojtěch Molek
Year: 2016
learning texts, university textbooks, tutorials, handbooks

Relationship between convolutional neural networks and F-transform
Vojtěch MOLEK, Irina Perfiljeva
Year: 2016
presentations (congresses, symposia, conferences, workshops)

RELATIONSHIP BETWEEN CONVOLUTIONAL NEURAL NETWORKS AND F-TRANSFORM
Vojtěch Molek, Irina Perfiljeva
Year: 2016
presentations (congresses, symposia, conferences, workshops)

RELATIONSHIP BETWEEN CONVOLUTIONAL NEURAL NETWORKS AND F-TRANSFORM
Vojtěch Molek, Irina Perfiljeva
Year: 2016
abstract in proceedings

2nd European Summer School on Fuzzy Logic and Applications
Petra Števuliáková, Martin Štěpnička, Antonín Dvořák, Petr Hurtík, Vojtěch Molek
Year: 2016
organizing conference, workshop

Convolutional neural networks
Vojtěch Molek
Year: 2015
presentations (congresses, symposia, conferences, workshops)

Paralelizace algoritmů pro kontextové zpracování rastrového obrazu
Vojtěch Molek
Year: 2015
presentations (congresses, symposia, conferences, workshops)

Parallelization of the algorithms for the context processing of raster images
Vojtěch Molek
Year: 2015
abstract in proceedings

No record found.

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AuthorTitleType of thesisYear
Galia LukášPossibilities of neural network deploymentBachelor's thesis 2020 
Kozák LukášMonitoring and analysis of the skull shape based on WebGLBachelor's thesis 2018 


Preprocessing methods and techniques in data analysis
Main solverMgr. Vojtěch Molek
Period1/2019 - 12/2019
ProviderSpecifický VŠ výzkum
Statefinished
social hub