Filip Zelezny

Filip Zelezny

Ceské vysoké ucení technické v Praze

H-index: 22

Europe-Czech Republic

About Filip Zelezny

Filip Zelezny, With an exceptional h-index of 22 and a recent h-index of 13 (since 2020), a distinguished researcher at Ceské vysoké ucení technické v Praze, specializes in the field of machine learning, bioinformatics.

His recent articles reflect a diverse array of research interests and contributions to the field:

308 Compendium of Neurosymbolic Artificial Intelligence P. Hitzler et al.(Eds.) IOS Press, 2023© 2023 The authors and IOS Press. All rights reserved.

Reference-free phylogeny from sequencing data

Lifted Relational Neural Networks: From Graphs to Deep Relational Learning

Learning to Generate Molecules From Small Datasets Using Neural Markov Logic Networks

Forty years of score-based soccer match outcome prediction: an experimental review

Automatic conjecturing of P-recursions using lifted inference

Optimal sports betting strategies in practice: an experimental review

SEMANTIC BICLUSTERING františek malinka

Filip Zelezny Information

University

Position

___

Citations(all)

2039

Citations(since 2020)

696

Cited By

1576

hIndex(all)

22

hIndex(since 2020)

13

i10Index(all)

47

i10Index(since 2020)

16

Email

University Profile Page

Ceské vysoké ucení technické v Praze

Google Scholar

View Google Scholar Profile

Filip Zelezny Skills & Research Interests

machine learning

bioinformatics

Top articles of Filip Zelezny

Title

Journal

Author(s)

Publication Date

308 Compendium of Neurosymbolic Artificial Intelligence P. Hitzler et al.(Eds.) IOS Press, 2023© 2023 The authors and IOS Press. All rights reserved.

Compendium of Neurosymbolic Artificial Intelligence

Gustav Šír

Filip Železný

Ondřej Kuželka

2023/8/4

Reference-free phylogeny from sequencing data

BioData Mining

Petr Ryšavý

Filip Železný

2023/3/27

Lifted Relational Neural Networks: From Graphs to Deep Relational Learning

Gustav Šír

Filip Železný

Ondřej Kuželka

2023

Learning to Generate Molecules From Small Datasets Using Neural Markov Logic Networks

Martin Svatoš

Peter Jung

F Železný

Giuseppe Marra

O Kuželka

2022

Forty years of score-based soccer match outcome prediction: an experimental review

Ondřej Hubáček

Gustav Šourek

Filip Železný

2022/1

Automatic conjecturing of P-recursions using lifted inference

Jáchym Barvínek

Timothy Van Bremen

Yuyi Wang

Filip Železný

Ondřej Kuželka

2021/10/25

Optimal sports betting strategies in practice: an experimental review

Uhrín Matej

Šourek Gustav

Hubáček Ondřej

Železný Filip

2021/10

SEMANTIC BICLUSTERING františek malinka

Doc Ing Jirí Kléma

Filip Železný

2021/9

Beyond graph neural networks with lifted relational neural networks

Machine Learning

Gustav Šourek

Filip Železný

Ondřej Kuželka

2021/7

Learning with Molecules beyond Graph Neural Networks

arXiv preprint arXiv:2011.03488

Gustav Sourek

Filip Zelezny

Ondrej Kuzelka

2020/11/6

Lossless compression of structured convolutional models via lifting

arXiv preprint arXiv:2007.06567

Gustav Sourek

Filip Zelezny

Ondrej Kuzelka

2020/7/13

Guest editors’ introduction: special issue on Inductive Logic Programming (ILP 2019)

Machine Learning

Daniel L Silver

Kristin P Bennett

2008/12

Finding semantic patterns in omics data using concept rule learning with an ontology-based refinement operator

BioData mining

František Malinka

Filip Železný

Jiří Kléma

2020/12

DEEP LEARNING WITH RELATIONAL LOGIC REPRESENTATIONS

Filip Železný

2020/12

See List of Professors in Filip Zelezny University(Ceské vysoké ucení technické v Praze)