Martin Holena

According to our database, Martin Holena authored at least 114 papers between 1994 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Textual Embeddings with Word-Type-Weighted Word2Vec.

Theodor Ladin, Lukás Korel, Martin Holena

Proceedings of the 24th Conference Information Technologies, 2024

Graph Neural Networks and Deep Reinforcement Learning in Job Scheduling.

Maros Bratko, Thomas Seidelmann, Martin Holena

Proceedings of the 24th Conference Information Technologies, 2024

On Difficulties of Attention Factorization through Shared Memory.

Uladzislau Yorsh, Martin Holena, Ondrej Bojar, David Herel

Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

Balancing performance and complexity with adaptive graph coarsening.

Marek Dedic, Lukás Bajer, Pavel Procházka, Martin Holena

Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

Suitability of Modern Neural Networks for Active and Transfer Learning in Surrogate-Assisted Black-Box Optimization.

Martin Holena, Jan Koza

Proceedings of the Workshop on Interactive Adaptive Learning co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2024), 2024

2023

A dimension reduction in neural network using copula matrix.

Ayyub Sheikhi, Radko Mesiar, Martin Holena

Int. J. Gen. Syst., February, 2023

Text-to-Ontology Mapping via Natural Language Processing with Application to Search for Relevant Ontologies in Catalysis.

Lukás Korel, Uladzislau Yorsh, Alexander S. Behr, Norbert Kockmann, Martin Holena

Comput., January, 2023

Improving Optimization with Gaussian Processes in the Covariance Matrix Adaptation Evolution Strategy.

Jirí Tumpach, Jan Koza, Martin Holena

Proceedings of the 23rd Conference Information Technologies, 2023

Using Paraphrasers to Detect Duplicities in Ontologies.

Lukás Korel, Alexander S. Behr, Norbert Kockmann, Martin Holena

Proceedings of the 15th International Joint Conference on Knowledge Discovery, 2023

2022

Landscape Analysis for Surrogate Models in the Evolutionary Black-Box Context.

Zbynek Pitra, Jan Koza, Jirí Tumpach, Martin Holena

CoRR, 2022

Text-to-Ontology Mapping via Natural Language Processing Models.

Uladzislau Yorsh, Alexander S. Behr, Norbert Kockmann, Martin Holena

Proceedings of the 22nd Conference Information Technologies, 2022

Using Artificial Neural Networks to Determine Ontologies Most Relevant to Scientific Texts.

Lukás Korel, Alexander S. Behr, Norbert Kockmann, Martin Holena

Proceedings of the 22nd Conference Information Technologies, 2022

On Combining Robustness and Regularization in Training Multilayer Perceptrons over Small Data.

Jan Kalina, Jirí Tumpach, Martin Holena

Proceedings of the International Joint Conference on Neural Networks, 2022

Neural-network-based estimation of normal distributions in black-box optimization.

Jirí Tumpach, Jan Koza, Martin Holena

Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022

2021

Combining Gaussian Processes with Neural Networks for Active Learning in Optimization.

Jirí Ruzicka, Jan Koza, Jirí Tumpach, Zbynek Pitra, Martin Holena

Proceedings of the Workshop on Interactive Adaptive Learning (IAL 2021) co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2021), 2021

Using Past Experience for Configuration of Gaussian Processes in Black-Box Optimization.

Jan Koza, Jirí Tumpach, Zbynek Pitra, Martin Holena

Proceedings of the Learning and Intelligent Optimization - 15th International Conference, 2021

A Comparison of Regularization Techniques for Shallow Neural NetworksTrained on Small Datasets.

Jirí Tumpach, Jan Kalina, Martin Holena

Proceedings of the 21st Conference Information Technologies, 2021

Combining Gaussian Processes and Neural Networks in Surrogate Modelling for Covariance Matrix Adaptation Evolution Strategy.

Jan Koza, Jirí Tumpach, Zbynek Pitra, Martin Holena

Proceedings of the 21st Conference Information Technologies, 2021

Video Scene Location Recognition with Neural Networks.

Lukás Korel, Petr Pulc, Jirí Tumpach, Martin Holena

Proceedings of the 21st Conference Information Technologies, 2021

Experimental Investigation of Neural and Weisfeiler-Lehman-Kernel Graph Representations for Downstream Classification.

Sergej Borisov, Marek Dedic, Martin Holena

Proceedings of the 21st Conference Information Technologies, 2021

Unsupervised Construction of Task-Specific Datasets for Object Re-identification.

Petr Pulc, Martin Holena

Proceedings of the ICCTA 2021: 7th International Conference on Computer Technology Applications, Vienna, Austria, July 13, 2021

Interaction between model and its evolution control in surrogate-assisted CMA evolution strategy.

Zbynek Pitra, Marek Hanus, Jan Koza, Jirí Tumpach, Martin Holena

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2020

Anomaly explanation with random forests.

Martin Kopp, Tomás Pevný, Martin Holena

Expert Syst. Appl., 2020

Active Learning for LSTM-autoencoder-based Anomaly Detection in Electrocardiogram Readings.

Tomás Sabata, Martin Holena

Proceedings of the Workshop on Interactive Adaptive Learning co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2020), 2020

Towards Landscape Analysis in Adaptive Learning of Surrogate Models.

Zbynek Pitra, Martin Holena

Proceedings of the Workshop on Interactive Adaptive Learning co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2020), 2020

Online Malware Detection with Variational Autoencoders.

Jirí Tumpach, Martin Holena

Proceedings of the 20th Conference Information Technologies, 2020

Two Semi-supervised Approaches to Malware Detection with Neural Networks.

Jan Koza, Marek Krcál, Martin Holena

Proceedings of the 20th Conference Information Technologies, 2020

Assessment of Surrogate Model Settings Using Landscape Analysis.

Mikulás Dvorák, Zbynek Pitra, Martin Holena

Proceedings of the 20th Conference Information Technologies, 2020

Loss Functions for Clustering in Multi-instance Learning.

Marek Dedic, Tomás Pevný, Lukás Bajer, Martin Holena

Proceedings of the 20th Conference Information Technologies, 2020

Extraction of Classification Rules from Sequences of Crystal Growth Data.

Radek Busa, Yann Dauxais, Stefan Ecklebe, Natasha Dropka, Martin Holena

Proceedings of the 20th Conference Information Technologies, 2020

2019

Gaussian Process Surrogate Models for the CMA Evolution Strategy.

Lukás Bajer, Zbynek Pitra, Jakub Repický, Martin Holena

Evol. Comput., 2019

Deep Networks in Online Malware Detection.

Jirí Tumpach, Marek Krcál, Martin Holena

Proceedings of the 19th Conference Information Technologies, 2019

Rules Extraction from Neural Networks Trained on Multimedia Data.

Matej Fanta, Petr Pulc, Martin Holena

Proceedings of the 19th Conference Information Technologies, 2019

Landscape analysis of gaussian process surrogates for the covariance matrix adaptation evolution strategy.

Zbynek Pitra, Jakub Repický, Martin Holena

Proceedings of the Genetic and Evolutionary Computation Conference, 2019

Gaussian process surrogate models for the CMA-ES.

Lukás Bajer, Zbynek Pitra, Jakub Repický, Martin Holena

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

2018

Hierarchical Motion Tracking Using Matching of Sparse Features.

Petr Pulc, Martin Holena

Proceedings of the 14th International Conference on Signal-Image Technology & Internet-Based Systems, 2018

Semi-supervised and Active Learning in Video Scene Classification from Statistical Features.

Tomás Sabata, Petr Pulc, Martin Holena

Proceedings of the Workshop on Interactive Adaptive Learning co-located with European Conference on Machine Learning (ECML 2018) and Principles and Practice of Knowledge Discovery in Databases (PKDD 2018), 2018

Adaptive Selection of Gaussian Process Model for Active Learning in Expensive Optimization.

Jakub Repický, Zbynek Pitra, Martin Holena

Proceedings of the Workshop on Interactive Adaptive Learning co-located with European Conference on Machine Learning (ECML 2018) and Principles and Practice of Knowledge Discovery in Databases (PKDD 2018), 2018

Transfer of Knowledge for Surrogate Model Selection in Cost-Aware Optimization.

Zbynek Pitra, Jakub Repický, Martin Holena

Proceedings of the Workshop on Interactive Adaptive Learning co-located with European Conference on Machine Learning (ECML 2018) and Principles and Practice of Knowledge Discovery in Databases (PKDD 2018), 2018

Automated Selection of Covariance Function for Gaussian process Surrogate Models.

Jakub Repický, Martin Holena, Zbynek Pitra

Proceedings of the 18th Conference Information Technologies, 2018

Boosted Regression Forest for the Doubly Trained Surrogate Covariance Matrix Adaptation Evolution Strategy.

Zbynek Pitra, Jakub Repický, Martin Holena

Proceedings of the 18th Conference Information Technologies, 2018

Sentiment Analysis from Utterances.

Jiri Kozusznik, Petr Pulc, Martin Holena

Proceedings of the 18th Conference Information Technologies, 2018

Comparing rule mining approaches for classification with reasoning.

Martin Kopp, Marek Jílek, Martin Holena

Proceedings of the 18th Conference Information Technologies, 2018

Semisupervised Segmentation of UHD Video.

Oliver Kerul-Kmec, Petr Pulc, Martin Holena

Proceedings of the 18th Conference Information Technologies, 2018

2017

K-best Viterbi Semi-supervized Active Learning in Sequence Labelling.

Tomás Sabata, Tomás Borovicka, Martin Holena

Proceedings of the 17th Conference on Information Technologies, 2017

Adaptive Generation-Based Evolution Control for Gaussian Process Surrogate Models.

Jakub Repický, Lukás Bajer, Zbynek Pitra, Martin Holena

Proceedings of the 17th Conference on Information Technologies, 2017

Random-Forest-Based Analysis of URL Paths.

Jakub Puchýr, Martin Holena

Proceedings of the 17th Conference on Information Technologies, 2017

Adaptive Doubly Trained Evolution Control for the Covariance Matrix Adaptation Evolution Strategy.

Zbynek Pitra, Lukás Bajer, Jakub Repický, Martin Holena

Proceedings of the 17th Conference on Information Technologies, 2017

Breaking CAPTCHAs with Convolutional Neural Networks.

Martin Kopp, Matej Nikl, Martin Holena

Proceedings of the 17th Conference on Information Technologies, 2017

Comparison of ordinal and metric gaussian process regression as surrogate models for CMA evolution strategy.

Zbynek Pitra, Lukás Bajer, Jakub Repický, Martin Holena

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Overview of surrogate-model versions of covariance matrix adaptation evolution strategy.

Zbynek Pitra, Lukás Bajer, Jakub Repický, Martin Holena

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Ordinal versus metric gaussian process regression in surrogate modelling for CMA evolution strategy.

Zbynek Pitra, Lukás Bajer, Jakub Repický, Martin Holena

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Towards Real-time Motion Estimation in High-Definition Video Based on Points of Interest.

Petr Pulc, Martin Holeña

Proceedings of the 2017 Federated Conference on Computer Science and Information Systems, 2017

2016

An approach to structure determination and estimation of hierarchical Archimedean Copulas and its application to Bayesian classification.

Jan Górecki, Marius Hofert, Martin Holena

J. Intell. Inf. Syst., 2016

Doubly Trained Evolution Control for the Surrogate CMA-ES.

Zbynek Pitra, Lukás Bajer, Martin Holena

Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

Modeling and Clustering the Behavior of Animals Using Hidden Markov Models.

Tomás Sabata, Tomás Borovicka, Martin Holena

Proceedings of the 16th ITAT Conference Information Technologies, 2016

Traditional Gaussian Process Surrogates in the BBOB Framework.

Jakub Repický, Lukás Bajer, Martin Holena

Proceedings of the 16th ITAT Conference Information Technologies, 2016

Image Processing in Collaborative Open Narrative Systems.

Petr Pulc, Erec Rosenzveig, Martin Holena

Proceedings of the 16th ITAT Conference Information Technologies, 2016

Testing Gaussian Process Surrogates on CEC'2013 Multi-Modal Benchmark.

Nikita Orekhov, Lukás Bajer, Martin Holena

Proceedings of the 16th ITAT Conference Information Technologies, 2016

How to Mimic Humans, Guide for Computers.

Martin Kopp, Matous Pistora, Martin Holena

Proceedings of the 16th ITAT Conference Information Technologies, 2016

Evolutionary Dynamic Optimization of Control Trajectories for the Catalytic Transformation of the Bioethanol-To-Olefins Process using Neural Networks.

Gorka Sorrosal, Cruz E. Borges, Martin Holeña, Ana María Macarulla, Cristina Martin Andonegui, Ainhoa Alonso-Vicario

Proceedings of the Genetic and Evolutionary Computation Conference, 2016

2015

Using Copulas in Data Mining Based on the Observational Calculus.

Martin Holena, Lukás Bajer, Martin Scavnicky

IEEE Trans. Knowl. Data Eng., 2015

Dynamic classifier aggregation using interaction-sensitive fuzzy measures.

David Stefka, Martin Holena

Fuzzy Sets Syst., 2015

Comparing SVM, Gaussian Process and Random Forest Surrogate Models for the CMA-ES.

Zbynek Pitra, Lukás Bajer, Martin Holena

Proceedings of the Proceedings ITAT 2015: Information Technologies, 2015

Investigation of Gaussian Processes in the Context of Black-Box Evolutionary Optimization.

Andrej Kudinov, Lukás Bajer, Zbynek Pitra, Martin Holena

Proceedings of the Proceedings ITAT 2015: Information Technologies, 2015

Search for Structure in Audiovisual Recordings of Lectures and Conferences.

Michal Kopp, Petr Pulc, Martin Holena

Proceedings of the Proceedings ITAT 2015: Information Technologies, 2015

Evaluation of Association Rules Extracted during Anomaly Explanation.

Martin Kopp, Martin Holena

Proceedings of the Proceedings ITAT 2015: Information Technologies, 2015

Comparing Non-Linear Regression Methods on Black-Box Optimization Benchmarks.

Vojtech Kopal, Martin Holena

Proceedings of the Proceedings ITAT 2015: Information Technologies, 2015

Model Guided Sampling Optimization for Low-dimensional Problems.

Lukás Bajer, Martin Holena

Proceedings of the ICAART 2015, 2015

Investigation of Gaussian Processes and Random Forests as Surrogate Models for Evolutionary Black-Box Optimization.

Lukás Bajer, Zbynek Pitra, Martin Holena

Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Benchmarking Gaussian Processes and Random Forests Surrogate Models on the BBOB Noiseless Testbed.

Lukás Bajer, Zbynek Pitra, Martin Holena

Proceedings of the Genetic and Evolutionary Computation Conference, 2015

2014

A Generalized Markov-Chain Modelling Approach to (1,λ)-ES Linear Optimization: Technical Report.

Alexandre Adrien Chotard, Martin Holena

CoRR, 2014

Two Gaussian Approaches to Black-Box Optomization.

Lukás Bajer, Martin Holena

CoRR, 2014

A Generalized Markov-Chain Modelling Approach to (1, λ)-ES Linear Optimization.

Alexandre Adrien Chotard, Martin Holena

Proceedings of the Parallel Problem Solving from Nature - PPSN XIII, 2014

2013

Surrogate Model for Mixed-Variables Evolutionary Optimization Based on GLM and RBF Networks.

Lukás Bajer, Martin Holena

Proceedings of the SOFSEM 2013: Theory and Practice of Computer Science, 2013

Structure Determination and Estimation of Hierarchical Archimedean Copulas Based on Kendall Correlation Matrix.

Jan Górecki, Martin Holena

Proceedings of the New Frontiers in Mining Complex Patterns, 2013

Model guided sampling optimization with gaussian processes for expensive black-box optimization.

Lukás Bajer, Viktor Charypar, Martin Holena

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

2012

Computing the correlation between catalyst composition and its performance in the catalysed process.

Martin Holena, Norbert Steinfeldt, Manfred Baerns, David Stefka

Comput. Chem. Eng., 2012

Fuzzy classification rules based on similarity.

Martin Holena, David Stefka

Proceedings of the Conference on Theory and Practice of Information Technologies, 2012

Conformal sets in neural network regression.

Radim Demut, Martin Holena

Proceedings of the Conference on Theory and Practice of Information Technologies, 2012

Evolutionary optimization with active learning of surrogate models and fixed evaluation batch.

Viktor Charypar, Martin Holena

Proceedings of the Conference on Theory and Practice of Information Technologies, 2012

RBF-based surrogate model for evolutionary optimization.

Lukás Bajer, Martin Holena

Proceedings of the Conference on Theory and Practice of Information Technologies, 2012

Surrogate modeling in the evolutionary optimization of catalytic materials.

Martin Holena, David Linke, Lukás Bajer

Proceedings of the Genetic and Evolutionary Computation Conference, 2012

2011

Dynamic Classifier Aggregation Using Fuzzy t-conorm Integral.

David Stefka, Martin Holena

Proceedings of the Seventh International Conference on Signal-Image Technology and Internet-Based Systems, 2011

Assessing the suitability of surrogate models in evolutionary optimization.

Martin Holena, Radim Demut

Proceedings of the Conference on Theory and Practice of Information Technologies, 2011

Case study: constraint handling in evolutionary optimization of catalytic materials.

Martin Holena, David Linke, Lukás Bajer

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

2010

The GUHA method and its meaning for data mining.

Petr Hájek, Martin Holena, Jan Rauch

J. Comput. Syst. Sci., 2010

Evolutionary Optimization of Catalysts Assisted by Neural-Network Learning.

Martin Holena, David Linke, Uwe Rodemerck

Proceedings of the Simulated Evolution and Learning - 8th International Conference, 2010

Two ways of using artificial neural networks in knowledge discovery from chemical materials data.

Martin Holena

Proceedings of the Conference on Theory and Practice of Information Technologies, 2010

Dynamic classifier aggregation using fuzzy integral with interaction-sensitive fuzzy measure.

David Stefka, Martin Holena

Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, 2010

Surrogate Model for Continuous and Discrete Genetic Optimization Based on RBF Networks.

Lukás Bajer, Martin Holena

Proceedings of the Intelligent Data Engineering and Automated Learning, 2010

Neural Networks as Surrogate Models for Measurements in Optimization Algorithms.

Martin Holena, David Linke, Uwe Rodemerck, Lukás Bajer

Proceedings of the Analytical and Stochastic Modeling Techniques and Applications, 2010

2009

Measures of ruleset quality for general rules extraction methods.

Martin Holena

Int. J. Approx. Reason., 2009

Boosted Surrogate Models in Evolutionary Optimization.

Martin Holena

Proceedings of the Conference on Theory and Practice of Information Technologies, 2009

Boosted Neural Networks in Evolutionary Computation.

Martin Holena, David Linke, Norbert Steinfeldt

Proceedings of the Neural Information Processing, 16th International Conference, 2009

Dynamic Classifier Systems and Their Applications to Random Forest Ensembles.

David Stefka, Martin Holena

Proceedings of the Adaptive and Natural Computing Algorithms, 9th International Conference, 2009

Classifier Aggregation using Local Classification Confidence.

David Stefka, Martin Holena

Proceedings of the ICAART 2009 - Proceedings of the International Conference on Agents and Artificial Intelligence, Porto, Portugal, January 19, 2009

2008

Optimization of Catalysts Using Specific, Description-Based Genetic Algorithms.

Martin Holena, Tatjana Cukic, Uwe Rodemerck, David Linke

J. Chem. Inf. Model., 2008

Measures of quality of rulesets extracted from data.

Martin Holena

Proceedings of the Conference on Theory and Practice of Information Technologies, 2008

2007

The Use of Fuzzy t-Conorm Integral for Combining Classifiers.

David Stefka, Martin Holena

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2007

Measures of Ruleset Quality Capable to Represent Uncertain Validity.

Martin Holena

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2007

2006

Piecewise-Linear Neural Networks and Their Relationship to Rule Extraction from Data.

Martin Holena

Neural Comput., 2006

2005

Extraction of fuzzy logic rules from data by means of artificial neural networks.

Martin Holena

Kybernetika, 2005

2004

Efficient Discovery of Nonlinear Dependencies in a Combinatorial Catalyst Data Set.

James N. Cawse, Manfred Baerns, Martin Holena

J. Chem. Inf. Model., 2004

Fuzzy hypotheses testing in the framework of fuzzy logic.

Martin Holena

Fuzzy Sets Syst., 2004

2003

Formal logics of discovery and hypothesis formation by machine.

Petr Hájek, Martin Holena

Theor. Comput. Sci., 2003

The GUHA Method and Foundations of (Relational) Data Mining.

Petr Hájek, Martin Holena, Jan Rauch

Proceedings of the Theory and Applications of Relational Structures as Knowledge Instruments, 2003

2002

Extraction of Logical Rules from Data by Means of Piecewise-Linear Neural Networks.

Martin Holena

Proceedings of the Discovery Science, 5th International Conference, 2002

2000

Observational Logic Integrates Data Mining Based on Statistics and Neural Networks.

Martin Holena

Proceedings of the Principles of Data Mining and Knowledge Discovery, 2000

1999

Increasing the Diversity of Medical Data Mining through Distributed Object Technology.

Martin Holena, Anna Sochorova, Jana Zvárová

Proceedings of the Medical Informatics Europe '99, Proceedings, Ljubljana, Slovenia, 1999

1998

CORBA security services for health information systems.

Bernd Blobel, Martin Holena

Int. J. Medical Informatics, 1998

Fuzzy hypotheses for GUHA implications.

Martin Holena

Fuzzy Sets Syst., 1998

1994

Wahl der Architektur eines neuronalen Netzes mittels der Theorie der Verbände.

Martin Holena

Proceedings of the Fuzzy Logik, 1994

Integrating Frames, Rules and Uncertainty in a Database-Coupled Knowledge-Representation System.

Petra Drescher, Martin Holena, Rainer Kruschinski, Gernod Laufkötter

Proceedings of the Database and Expert Systems Applications, 5th International Conference, 1994