ITAT 2020
Information Technologies – Applications and Theory

Table of Contents

• Preface
  

Invited Talks

• Interval Exchange Transformations: from Symbolic Dynamics to Combinatorics 1-2
  Francesco Dolce
• Communicating P Systems: Bio-inspired Computational Models for Complex Systems 3-8
  Erzsébet Csuhaj-Varjú
• Variants of Grammar Systems: Motivations and Problems 9-15
  Alica Kelemenová
• 25 Years of Restarting Automata: Lots of Results and Open Problems 16-17
  Friedrich Otto

Automata, Formal and Natural Languages Workshop (WAFNL 2020)

• Solvers for Mathematical Word Problems in Czech 18-25
  Jan Kadlec, Daniel Průša
• Semantic representation of Slovak words 26-33
  Šimon Horvát, Stanislav Krajči, L’ubomír Antoni
• Presenting Simultaneous Translation in Limited Space 34-39
  Dominik Macháček, Ondřej Bojar
• Syntax Representation in Word Embeddings and Neural Networks – A Survey 40-50
  Tomasz Limisiewicz, David Mareček
• Pumping Deterministic Monotone Restarting Automata and DCFL 51-58
  František Mráz, Dana Pardubská, Martin Plátek, Jiří Šíma
• Descriptional Complexity of Push Down Automata 59-66
  Lukáš Kiss, Branislav Rovan
• Tree Structure of Slovak Sentences 67-74
  Michaela Linková, Stanislav Krajči

Computational Intelligence and Data Mining - 8th International Workshop (CIDM 2020)

• Abstractive Text Summarization using Transfer Learning 75-80
  Ekaterina Zolotareva, Tsegaye Misikir Tashu, Tomáš Horváth
• Assessment of Surrogate Model Settings Using Landscape Analysis 81-89
  Mikuláš Dvořák, Zbyněk Pitra, Martin Holeňa
• Modular Surrogate-based Optimization Framework for Expensive Computational Simulations 90-100
  Antonín Panzo, Boyang Chen
• Extraction of Classification Rules from Sequences of Crystal Growth Data 101-107
  Radek Buša, Yann Dauxais, Stefan Ecklebe, Natasha Dropka, Martin Holeňa
• Classification of a Small Imbalanced Dataset of Vine Leaves Images using Deep Learning Techniques 108-114
  Amjad Balawi, Abdullah Al Zoabi, José Luis Seixas Junior, Tomáš Horváth
• Using Artificial Neural Networks in Reinforcement Learning Algorithms 115-121
  Martin Glova, Gabriela Andrejková
• Online Malware Detection with Variational Autoencoders 122-129
  Jiří Tumpach, Martin Holeňa
• KNN Algorithm with DTW Distance for Signature Classification of Wine Leaves 130-136
  José Luis Seixas Junior, Tomáš Horváth
• Loss Functions for Clustering in Multi-instance Learning 137-146
  Marek Dědič, Tomáš Pevný, Lukáš Bajer, Martin Holeňa
• Context-based Information Classification on Hungarian Invoices 147-151
  Gábor Szegedi, Diána Bajdikné Veres, Imre Lendák, Tomáš Horváth
• Analysis of Delay Patterns and Correlations in Railway Traffic Data 152-160
  Roland Krisztián Szabó, Tomáš Horváth, Ádám Tarcsi
• Comparison of Dimensionality Reduction Techniques on Audio Signals 161-168
  Tamás Pál, Dániel T. Várkonyi
• Hopfield Neural Network in Solution of the Close Enough Orienteering Problem 169-175
  Jindřiška Deckerová, Jan Faigl
• Two Semi-supervised Approaches to Malware Detection with Neural Networks 176-185
  Jan Koza, Marek Krčál, Martin Holeňa

Natural Computing Workshop (WNC 2020)

• Keypoints Selection Using Evolutionary Algorithms 186-191
  David Adamczyk, Jan Hůla
• Modelling of Grey Wolf Optimization Algorithm Using 2D P Colonies 192-200
  Daniel Valenta, Lucie Ciencialová, Miroslav Langer, Luděk Cienciala
• The Spanning-tree Algorithm and Generating a Membrane Structure 201-208
  Šárka Vavrečková
• Zrec.org - Psychosocial Phenomena Studies in Cyberspace 209-216
  Martin Pavlíček, Tomáš Filip, Petr Sosík
• On Lindenmayer Systems and Autoencoders 217-222
  Andrej Lucny
• Approach to Automatic Segmentation of Atherosclerotic Plaque in B-images Using Active Contour Algorithm Adapted by Convolutional Neural Network to Echogenicity Index Computation 223-229
  Jiri Blahuta, Tomas Soukup, Petr Sosik
• Search for Optimization of a Real-time Neural Trading System 230-238
  Michal Pobucký
• Low-Dimensional Representations in Generative Self-Learning Models 239-245
  Serge Dolgikh