Martin Holena - RankMe

128 papers A 5B 6C 7Journal 28Unranked 75

Year	Rank	Type	Title / Venue / Authors
2025	C	`conf`	Assigning scientific texts to existing ontologies. FedCSIS Lukás Korel, Martin Holena
2025	—	`conf`	Landscape Analysis for Surrogate Models in the Evolutionary Black-Box Context (Extended Abstract). GECCO Companion Zbynek Pitra, Jan Koza, Jirí Tumpach, Martin Holena
2025	J	`jnl`	Landscape Analysis for Surrogate Models in the Evolutionary Black-Box Context. Evol. Comput. Zbynek Pitra, Jan Koza, Jirí Tumpach, Martin Holena
2025	J	`jnl`	Response prediction of antidepressants: Using graph theory tools for brain network connectivity analysis. Biomed. Signal Process. Control. Akbar Davoodi, Martin Holena, Martin Brunovsky, Aditi Kathpalia, Jaroslav Hlinka, Martin Bares, Milan Palus
2024	—	`conf`	Balancing performance and complexity with adaptive graph coarsening. Tiny Papers @ ICLR Marek Dedic, Lukás Bajer, Pavel Procházka, Martin Holena
2024	—	`conf`	Graph Neural Networks and Deep Reinforcement Learning in Job Scheduling. ITAT Maros Bratko, Thomas Seidelmann, Martin Holena
2024	—	`conf`	On Difficulties of Attention Factorization through Shared Memory. Tiny Papers @ ICLR Uladzislau Yorsh, Martin Holena, Ondrej Bojar, David Herel
2024	—	`ed.`	Proceedings of the 24th Conference Information Technologies - Applications and Theory (ITAT 2024), Drienica, Slovakia, September 20-24, 2024. ITAT Lucie Ciencialová, Martin Holena, Róbert Jajcay, Tatiana Jajcayová, Martin Macaj, Frantisek Mráz, Richard Ostertág, Dana Pardubská, Martin Plátek, Martin Stanek
2024	—	`conf`	Suitability of Modern Neural Networks for Active and Transfer Learning in Surrogate-Assisted Black-Box Optimization. IAL@PKDD/ECML Martin Holena, Jan Koza
2024	—	`conf`	Textual Embeddings with Word-Type-Weighted Word2Vec. ITAT Theodor Ladin, Lukás Korel, Martin Holena
2023	J	`jnl`	A dimension reduction in neural network using copula matrix. Int. J. Gen. Syst. Ayyub Sheikhi, Radko Mesiar, Martin Holena
2023	—	`conf`	Improving Optimization with Gaussian Processes in the Covariance Matrix Adaptation Evolution Strategy. ITAT Jirí Tumpach, Jan Koza, Martin Holena
2023	—	`ed.`	Proceedings of the 23rd Conference Information Technologies - Applications and Theory (ITAT 2023), Tatranské Matliare, Slovakia, September 22-26, 2023. ITAT Brona Brejová, Lucie Ciencialová, Martin Holena, Róbert Jajcay, Tatiana Jajcayová, Matej Lexa, Frantisek Mráz, Dana Pardubská, Martin Plátek
2023	J	`jnl`	Text-to-Ontology Mapping via Natural Language Processing with Application to Search for Relevant Ontologies in Catalysis. Comput. Lukás Korel, Uladzislau Yorsh, Alexander S. Behr, Norbert Kockmann, Martin Holena
2023	J	`jnl`	Using Artificial Neural Networks to Determine Ontologies Most Relevant to Scientific Texts. CoRR Lukás Korel, Alexander S. Behr, Norbert Kockmann, Martin Holena
2023	C	`conf`	Using Paraphrasers to Detect Duplicities in Ontologies. KEOD Lukás Korel, Alexander S. Behr, Norbert Kockmann, Martin Holena
2023	J	`jnl`	Video Scene Location Recognition with Neural Networks. CoRR Lukás Korel, Petr Pulc, Jirí Tumpach, Martin Holena
2022	J	`jnl`	Landscape Analysis for Surrogate Models in the Evolutionary Black-Box Context. CoRR Zbynek Pitra, Jan Koza, Jirí Tumpach, Martin Holena
2022	B	`conf`	Neural-network-based estimation of normal distributions in black-box optimization. ESANN Jirí Tumpach, Jan Koza, Martin Holena
2022	B	`conf`	On Combining Robustness and Regularization in Training Multilayer Perceptrons over Small Data. IJCNN Jan Kalina, Jirí Tumpach, Martin Holena
2022	—	`ed.`	Proceedings of the 22nd Conference Information Technologies - Applications and Theory (ITAT 2022), Zuberec, Slovakia, September 23-27, 2022. ITAT Lucie Ciencialová, Martin Holena, Robert Jajcay, Tatiana Jajcayová, Frantisek Mráz, Dana Pardubská, Martin Plátek
2022	—	`conf`	Text-to-Ontology Mapping via Natural Language Processing Models. ITAT Uladzislau Yorsh, Alexander S. Behr, Norbert Kockmann, Martin Holena
2022	—	`conf`	Using Artificial Neural Networks to Determine Ontologies Most Relevant to Scientific Texts. ITAT Lukás Korel, Alexander S. Behr, Norbert Kockmann, Martin Holena
2021	—	`conf`	A Comparison of Regularization Techniques for Shallow Neural NetworksTrained on Small Datasets. ITAT Jirí Tumpach, Jan Kalina, Martin Holena
2021	—	`conf`	Combining Gaussian Processes and Neural Networks in Surrogate Modelling for Covariance Matrix Adaptation Evolution Strategy. ITAT Jan Koza, Jirí Tumpach, Zbynek Pitra, Martin Holena
2021	—	`conf`	Combining Gaussian Processes with Neural Networks for Active Learning in Optimization. IAL@PKDD/ECML Jirí Ruzicka, Jan Koza, Jirí Tumpach, Zbynek Pitra, Martin Holena
2021	—	`conf`	Experimental Investigation of Neural and Weisfeiler-Lehman-Kernel Graph Representations for Downstream Classification. ITAT Sergej Borisov, Marek Dedic, Martin Holena
2021	A	`conf`	Interaction between model and its evolution control in surrogate-assisted CMA evolution strategy. GECCO Zbynek Pitra, Marek Hanus, Jan Koza, Jirí Tumpach, Martin Holena
2021	—	`ed.`	Proceedings of the 21st Conference Information Technologies - Applications and Theory (ITAT 2021), Hotel Heľpa, Nízke Tatry and Muránska planina, Slovakia, September 24-28, 2021. ITAT Brona Brejová, Lucie Ciencialová, Martin Holena, Frantisek Mráz, Dana Pardubská, Martin Plátek, Tomás Vinar
2021	—	`conf`	Unsupervised Construction of Task-Specific Datasets for Object Re-identification. ICCTA Petr Pulc, Martin Holena
2021	—	`conf`	Using Past Experience for Configuration of Gaussian Processes in Black-Box Optimization. LION Jan Koza, Jirí Tumpach, Zbynek Pitra, Martin Holena
2021	—	`conf`	Video Scene Location Recognition with Neural Networks. ITAT Lukás Korel, Petr Pulc, Jirí Tumpach, Martin Holena
2020	—	`conf`	Active Learning for LSTM-autoencoder-based Anomaly Detection in Electrocardiogram Readings. IAL@PKDD/ECML Tomás Sabata, Martin Holena
2020	J	`jnl`	Anomaly explanation with random forests. Expert Syst. Appl. Martin Kopp, Tomás Pevný, Martin Holena
2020	—	`conf`	Assessment of Surrogate Model Settings Using Landscape Analysis. ITAT Mikulás Dvorák, Zbynek Pitra, Martin Holena
2020	—	`conf`	Extraction of Classification Rules from Sequences of Crystal Growth Data. ITAT Radek Busa, Yann Dauxais, Stefan Ecklebe, Natasha Dropka, Martin Holena
2020	—	`conf`	Loss Functions for Clustering in Multi-instance Learning. ITAT Marek Dedic, Tomás Pevný, Lukás Bajer, Martin Holena
2020	—	`conf`	Online Malware Detection with Variational Autoencoders. ITAT Jirí Tumpach, Martin Holena
2020	—	`ed.`	Proceedings of the 20th Conference Information Technologies - Applications and Theory (ITAT 2020), Hotel Tyrapol, Oravská Lesná, Slovakia, September 18-22, 2020. ITAT Martin Holena, Tomás Horváth, Alica Kelemenová, Frantisek Mráz, Dana Pardubská, Martin Plátek, Petr Sosík
2020	—	`conf`	Towards Landscape Analysis in Adaptive Learning of Surrogate Models. IAL@PKDD/ECML Zbynek Pitra, Martin Holena
2020	—	`conf`	Two Semi-supervised Approaches to Malware Detection with Neural Networks. ITAT Jan Koza, Marek Krcál, Martin Holena
2019	—	`conf`	Deep Networks in Online Malware Detection. ITAT Jirí Tumpach, Marek Krcál, Martin Holena
2019	J	`jnl`	Gaussian Process Surrogate Models for the CMA Evolution Strategy. Evol. Comput. Lukás Bajer, Zbynek Pitra, Jakub Repický, Martin Holena
2019	—	`conf`	Gaussian process surrogate models for the CMA-ES. GECCO (Companion) Lukás Bajer, Zbynek Pitra, Jakub Repický, Martin Holena
2019	A	`conf`	Landscape analysis of gaussian process surrogates for the covariance matrix adaptation evolution strategy. GECCO Zbynek Pitra, Jakub Repický, Martin Holena
2019	—	`ed.`	Proceedings of the 19th Conference Information Technologies - Applications and Theory (ITAT 2019), Hotel Zornička, Donovaly, Slovakia, September 20-24, 2019. ITAT Petra Barancíková, Martin Holena, Tomás Horváth, Matús Pleva, Rudolf Rosa
2019	—	`conf`	Rules Extraction from Neural Networks Trained on Multimedia Data. ITAT Matej Fanta, Petr Pulc, Martin Holena
2018	—	`conf`	Adaptive Selection of Gaussian Process Model for Active Learning in Expensive Optimization. IAL@PKDD/ECML Jakub Repický, Zbynek Pitra, Martin Holena
2018	—	`conf`	Automated Selection of Covariance Function for Gaussian process Surrogate Models. ITAT Jakub Repický, Martin Holena, Zbynek Pitra
2018	—	`conf`	Boosted Regression Forest for the Doubly Trained Surrogate Covariance Matrix Adaptation Evolution Strategy. ITAT Zbynek Pitra, Jakub Repický, Martin Holena
2018	—	`conf`	Comparing rule mining approaches for classification with reasoning. ITAT Martin Kopp, Marek Jílek, Martin Holena
2018	—	`conf`	Hierarchical Motion Tracking Using Matching of Sparse Features. SITIS Petr Pulc, Martin Holena
2018	—	`conf`	Semi-supervised and Active Learning in Video Scene Classification from Statistical Features. IAL@PKDD/ECML Tomás Sabata, Petr Pulc, Martin Holena
2018	—	`conf`	Semisupervised Segmentation of UHD Video. ITAT Oliver Kerul-Kmec, Petr Pulc, Martin Holena
2018	—	`conf`	Sentiment Analysis from Utterances. ITAT Jiri Kozusznik, Petr Pulc, Martin Holena
2018	—	`conf`	Transfer of Knowledge for Surrogate Model Selection in Cost-Aware Optimization. IAL@PKDD/ECML Zbynek Pitra, Jakub Repický, Martin Holena
2017	—	`conf`	Adaptive Doubly Trained Evolution Control for the Covariance Matrix Adaptation Evolution Strategy. ITAT Zbynek Pitra, Lukás Bajer, Jakub Repický, Martin Holena
2017	—	`conf`	Adaptive Generation-Based Evolution Control for Gaussian Process Surrogate Models. ITAT Jakub Repický, Lukás Bajer, Zbynek Pitra, Martin Holena
2017	J	`jnl`	Adaptive Generation-Based Evolution Control for Gaussian Process Surrogate Models. CoRR Jakub Repický, Lukás Bajer, Zbynek Pitra, Martin Holena
2017	—	`conf`	Breaking CAPTCHAs with Convolutional Neural Networks. ITAT Martin Kopp, Matej Nikl, Martin Holena
2017	—	`conf`	Comparison of ordinal and metric gaussian process regression as surrogate models for CMA evolution strategy. GECCO (Companion) Zbynek Pitra, Lukás Bajer, Jakub Repický, Martin Holena
2017	—	`conf`	K-best Viterbi Semi-supervized Active Learning in Sequence Labelling. ITAT Tomás Sabata, Tomás Borovicka, Martin Holena
2017	—	`conf`	Ordinal versus metric gaussian process regression in surrogate modelling for CMA evolution strategy. GECCO (Companion) Zbynek Pitra, Lukás Bajer, Jakub Repický, Martin Holena
2017	—	`conf`	Overview of surrogate-model versions of covariance matrix adaptation evolution strategy. GECCO (Companion) Zbynek Pitra, Lukás Bajer, Jakub Repický, Martin Holena
2017	—	`conf`	Random-Forest-Based Analysis of URL Paths. ITAT Jakub Puchýr, Martin Holena
2016	J	`jnl`	An approach to structure determination and estimation of hierarchical Archimedean Copulas and its application to Bayesian classification. J. Intell. Inf. Syst. Jan Górecki, Marius Hofert, Martin Holena
2016	A	`conf`	Doubly Trained Evolution Control for the Surrogate CMA-ES. PPSN Zbynek Pitra, Lukás Bajer, Martin Holena
2016	—	`conf`	How to Mimic Humans, Guide for Computers. ITAT Martin Kopp, Matous Pistora, Martin Holena
2016	—	`conf`	Image Processing in Collaborative Open Narrative Systems. ITAT Petr Pulc, Erec Rosenzveig, Martin Holena
2016	—	`conf`	Modeling and Clustering the Behavior of Animals Using Hidden Markov Models. ITAT Tomás Sabata, Tomás Borovicka, Martin Holena
2016	—	`conf`	Testing Gaussian Process Surrogates on CEC'2013 Multi-Modal Benchmark. ITAT Nikita Orekhov, Lukás Bajer, Martin Holena
2016	—	`conf`	Traditional Gaussian Process Surrogates in the BBOB Framework. ITAT Jakub Repický, Lukás Bajer, Martin Holena
2015	—	`conf`	Benchmarking Gaussian Processes and Random Forests Surrogate Models on the BBOB Noiseless Testbed. GECCO (Companion) Lukás Bajer, Zbynek Pitra, Martin Holena
2015	—	`conf`	Comparing Non-Linear Regression Methods on Black-Box Optimization Benchmarks. ITAT Vojtech Kopal, Martin Holena
2015	—	`conf`	Comparing SVM, Gaussian Process and Random Forest Surrogate Models for the CMA-ES. ITAT Zbynek Pitra, Lukás Bajer, Martin Holena
2015	J	`jnl`	Dynamic classifier aggregation using interaction-sensitive fuzzy measures. Fuzzy Sets Syst. David Stefka, Martin Holena
2015	—	`conf`	Evaluation of Association Rules Extracted during Anomaly Explanation. ITAT Martin Kopp, Martin Holena
2015	—	`conf`	Investigation of Gaussian Processes and Random Forests as Surrogate Models for Evolutionary Black-Box Optimization. GECCO (Companion) Lukás Bajer, Zbynek Pitra, Martin Holena
2015	—	`conf`	Investigation of Gaussian Processes in the Context of Black-Box Evolutionary Optimization. ITAT Andrej Kudinov, Lukás Bajer, Zbynek Pitra, Martin Holena
2015	—	`conf`	Model Guided Sampling Optimization for Low-dimensional Problems. ICAART (2) Lukás Bajer, Martin Holena
2015	J	`jnl`	Model Guided Sampling Optimization for Low-dimensional Problems. CoRR Lukás Bajer, Martin Holena
2015	—	`conf`	Search for Structure in Audiovisual Recordings of Lectures and Conferences. ITAT Michal Kopp, Petr Pulc, Martin Holena
2015	J	`jnl`	Using Copulas in Data Mining Based on the Observational Calculus. IEEE Trans. Knowl. Data Eng. Martin Holena, Lukás Bajer, Martin Scavnicky
2014	A	`conf`	A Generalized Markov-Chain Modelling Approach to (1, λ)-ES Linear Optimization. PPSN Alexandre Adrien Chotard, Martin Holena
2014	J	`jnl`	A Generalized Markov-Chain Modelling Approach to (1,λ)-ES Linear Optimization: Technical Report. CoRR Alexandre Adrien Chotard, Martin Holena
2014	J	`jnl`	Two Gaussian Approaches to Black-Box Optomization. CoRR Lukás Bajer, Martin Holena
2013	J	`jnl`	A Generalized Markov-Chain Modelling Approach to $(1, λ)$-ES Linear Optimization. CoRR Martin Holena, Alexandre Adrien Chotard
2013	—	`conf`	Model guided sampling optimization with gaussian processes for expensive black-box optimization. GECCO (Companion) Lukás Bajer, Viktor Charypar, Martin Holena
2013	—	`conf`	Structure Determination and Estimation of Hierarchical Archimedean Copulas Based on Kendall Correlation Matrix. NFMCP Jan Górecki, Martin Holena
2013	B	`conf`	Surrogate Model for Mixed-Variables Evolutionary Optimization Based on GLM and RBF Networks. SOFSEM Lukás Bajer, Martin Holena
2012	J	`jnl`	Computing the correlation between catalyst composition and its performance in the catalysed process. Comput. Chem. Eng. Martin Holena, Norbert Steinfeldt, Manfred Baerns, David Stefka
2012	—	`conf`	Conformal sets in neural network regression. ITAT Radim Demut, Martin Holena
2012	—	`conf`	Evolutionary optimization with active learning of surrogate models and fixed evaluation batch. ITAT Viktor Charypar, Martin Holena
2012	—	`conf`	Fuzzy classification rules based on similarity. ITAT Martin Holena, David Stefka
2012	—	`conf`	RBF-based surrogate model for evolutionary optimization. ITAT Lukás Bajer, Martin Holena
2012	A	`conf`	Surrogate modeling in the evolutionary optimization of catalytic materials. GECCO Martin Holena, David Linke, Lukás Bajer
2011	—	`conf`	Assessing the suitability of surrogate models in evolutionary optimization. ITAT Martin Holena, Radim Demut
2011	—	`conf`	Case study: constraint handling in evolutionary optimization of catalytic materials. GECCO (Companion) Martin Holena, David Linke, Lukás Bajer
2011	—	`conf`	Dynamic Classifier Aggregation Using Fuzzy t-conorm Integral. SITIS David Stefka, Martin Holena
2010	C	`conf`	Dynamic classifier aggregation using fuzzy integral with interaction-sensitive fuzzy measure. ISDA David Stefka, Martin Holena
2010	—	`conf`	Evolutionary Optimization of Catalysts Assisted by Neural-Network Learning. SEAL Martin Holena, David Linke, Uwe Rodemerck
2010	—	`conf`	Neural Networks as Surrogate Models for Measurements in Optimization Algorithms. ASMTA Martin Holena, David Linke, Uwe Rodemerck, Lukás Bajer
2010	C	`conf`	Surrogate Model for Continuous and Discrete Genetic Optimization Based on RBF Networks. IDEAL Lukás Bajer, Martin Holena
2010	J	`jnl`	The GUHA method and its meaning for data mining. J. Comput. Syst. Sci. Petr Hájek, Martin Holena, Jan Rauch
2010	—	`conf`	Two ways of using artificial neural networks in knowledge discovery from chemical materials data. ITAT Martin Holena
2009	—	`conf`	Boosted Neural Networks in Evolutionary Computation. ICONIP (2) Martin Holena, David Linke, Norbert Steinfeldt
2009	—	`conf`	Boosted Surrogate Models in Evolutionary Optimization. ITAT Martin Holena
2009	B	`conf`	Classifier Aggregation using Local Classification Confidence. ICAART David Stefka, Martin Holena
2009	—	`conf`	Dynamic Classifier Systems and Their Applications to Random Forest Ensembles. ICANNGA David Stefka, Martin Holena
2009	J	`jnl`	Measures of ruleset quality for general rules extraction methods. Int. J. Approx. Reason. Martin Holena
2008	—	`conf`	Measures of quality of rulesets extracted from data. ITAT Martin Holena
2008	J	`jnl`	Optimization of Catalysts Using Specific, Description-Based Genetic Algorithms. J. Chem. Inf. Model. Martin Holena, Tatjana Cukic, Uwe Rodemerck, David Linke
2007	C	`conf`	Measures of Ruleset Quality Capable to Represent Uncertain Validity. ECSQARU Martin Holena
2007	C	`conf`	The Use of Fuzzy t-Conorm Integral for Combining Classifiers. ECSQARU David Stefka, Martin Holena
2006	J	`jnl`	Piecewise-Linear Neural Networks and Their Relationship to Rule Extraction from Data. Neural Comput. Martin Holena
2005	J	`jnl`	Extraction of fuzzy logic rules from data by means of artificial neural networks. Kybernetika Martin Holena
2004	J	`jnl`	Efficient Discovery of Nonlinear Dependencies in a Combinatorial Catalyst Data Set. J. Chem. Inf. Model. James N. Cawse, Manfred Baerns, Martin Holena
2004	J	`jnl`	Fuzzy hypotheses testing in the framework of fuzzy logic. Fuzzy Sets Syst. Martin Holena
2003	J	`jnl`	Formal logics of discovery and hypothesis formation by machine. Theor. Comput. Sci. Petr Hájek, Martin Holena
2003	—	`ch.`	The GUHA Method and Foundations of (Relational) Data Mining. Theory and Applications of Relational Structures as Knowledge Instruments Petr Hájek, Martin Holena, Jan Rauch
2002	B	`conf`	Extraction of Logical Rules from Data by Means of Piecewise-Linear Neural Networks. Discovery Science Martin Holena
2000	—	`conf`	Observational Logic Integrates Data Mining Based on Statistics and Neural Networks. PKDD Martin Holena
1999	—	`conf`	Increasing the Diversity of Medical Data Mining through Distributed Object Technology. MIE Martin Holena, Anna Sochorova, Jana Zvárová
1998	J	`jnl`	CORBA security services for health information systems. Int. J. Medical Informatics Bernd Blobel, Martin Holena
1998	B	`conf`	Formal Logics of Discovery and Hypothesis Formation by Machine. Discovery Science Petr Hájek, Martin Holena
1998	J	`jnl`	Fuzzy hypotheses for GUHA implications. Fuzzy Sets Syst. Martin Holena
1994	C	`conf`	Integrating Frames, Rules and Uncertainty in a Database-Coupled Knowledge-Representation System. DEXA Petra Drescher, Martin Holena, Rainer Kruschinski, Gernod Laufkötter
1994	—	`conf`	Wahl der Architektur eines neuronalen Netzes mittels der Theorie der Verbände. Fuzzy Days Martin Holena