Martin Holena
Orcid: 0000-0002-2536-9328
According to our database1,
Martin Holena
authored at least 109 papers
between 1994 and 2023.
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Bibliography
2023
Int. J. Gen. Syst., February, 2023
Text-to-Ontology Mapping via Natural Language Processing with Application to Search for Relevant Ontologies in Catalysis.
Comput., January, 2023
Improving Optimization with Gaussian Processes in the Covariance Matrix Adaptation Evolution Strategy.
Proceedings of the 23rd Conference Information Technologies, 2023
Proceedings of the 15th International Joint Conference on Knowledge Discovery, 2023
2022
CoRR, 2022
Proceedings of the 22nd Conference Information Technologies, 2022
Using Artificial Neural Networks to Determine Ontologies Most Relevant to Scientific Texts.
Proceedings of the 22nd Conference Information Technologies, 2022
On Combining Robustness and Regularization in Training Multilayer Perceptrons over Small Data.
Proceedings of the International Joint Conference on Neural Networks, 2022
Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022
2021
Combining Gaussian Processes with Neural Networks for Active Learning in Optimization.
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.
Proceedings of the Learning and Intelligent Optimization - 15th International Conference, 2021
A Comparison of Regularization Techniques for Shallow Neural NetworksTrained on Small Datasets.
Proceedings of the 21st Conference Information Technologies, 2021
Combining Gaussian Processes and Neural Networks in Surrogate Modelling for Covariance Matrix Adaptation Evolution Strategy.
Proceedings of the 21st Conference Information Technologies, 2021
Proceedings of the 21st Conference Information Technologies, 2021
Experimental Investigation of Neural and Weisfeiler-Lehman-Kernel Graph Representations for Downstream Classification.
Proceedings of the 21st Conference Information Technologies, 2021
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.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
2020
Active Learning for LSTM-autoencoder-based Anomaly Detection in Electrocardiogram Readings.
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
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
Proceedings of the 20th Conference Information Technologies, 2020
Proceedings of the 20th Conference Information Technologies, 2020
Proceedings of the 20th Conference Information Technologies, 2020
Proceedings of the 20th Conference Information Technologies, 2020
Proceedings of the 20th Conference Information Technologies, 2020
2019
Evol. Comput., 2019
Proceedings of the 19th Conference Information Technologies, 2019
Proceedings of the 19th Conference Information Technologies, 2019
Landscape analysis of gaussian process surrogates for the covariance matrix adaptation evolution strategy.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
2018
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.
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.
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
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
Proceedings of the 18th Conference Information Technologies, 2018
Boosted Regression Forest for the Doubly Trained Surrogate Covariance Matrix Adaptation Evolution Strategy.
Proceedings of the 18th Conference Information Technologies, 2018
Proceedings of the 18th Conference Information Technologies, 2018
Proceedings of the 18th Conference Information Technologies, 2018
Proceedings of the 18th Conference Information Technologies, 2018
2017
Proceedings of the 17th Conference on Information Technologies, 2017
Proceedings of the 17th Conference on Information Technologies, 2017
Proceedings of the 17th Conference on Information Technologies, 2017
Adaptive Doubly Trained Evolution Control for the Covariance Matrix Adaptation Evolution Strategy.
Proceedings of the 17th Conference on Information Technologies, 2017
Proceedings of the 17th Conference on Information Technologies, 2017
Comparison of ordinal and metric gaussian process regression as surrogate models for CMA evolution strategy.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
Overview of surrogate-model versions of covariance matrix adaptation evolution strategy.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
Ordinal versus metric gaussian process regression in surrogate modelling for CMA evolution strategy.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
Towards Real-time Motion Estimation in High-Definition Video Based on Points of Interest.
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.
J. Intell. Inf. Syst., 2016
Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016
Proceedings of the 16th ITAT Conference Information Technologies, 2016
Proceedings of the 16th ITAT Conference Information Technologies, 2016
Proceedings of the 16th ITAT Conference Information Technologies, 2016
Proceedings of the 16th ITAT Conference Information Technologies, 2016
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.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016
2015
IEEE Trans. Knowl. Data Eng., 2015
Fuzzy Sets Syst., 2015
Proceedings of the Proceedings ITAT 2015: Information Technologies, 2015
Investigation of Gaussian Processes in the Context of Black-Box Evolutionary Optimization.
Proceedings of the Proceedings ITAT 2015: Information Technologies, 2015
Proceedings of the Proceedings ITAT 2015: Information Technologies, 2015
Proceedings of the Proceedings ITAT 2015: Information Technologies, 2015
Proceedings of the Proceedings ITAT 2015: Information Technologies, 2015
Model Guided Sampling Optimization for Low-dimensional Problems.
Proceedings of the ICAART 2015, 2015
Investigation of Gaussian Processes and Random Forests as Surrogate Models for Evolutionary Black-Box Optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015
Benchmarking Gaussian Processes and Random Forests Surrogate Models on the BBOB Noiseless Testbed.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015
2014
A Generalized Markov-Chain Modelling Approach to (1,λ)-ES Linear Optimization: Technical Report.
CoRR, 2014
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.
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.
Proceedings of the New Frontiers in Mining Complex Patterns, 2013
Model guided sampling optimization with gaussian processes for expensive black-box optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013
2012
Computing the correlation between catalyst composition and its performance in the catalysed process.
Comput. Chem. Eng., 2012
Proceedings of the Conference on Theory and Practice of Information Technologies, 2012
Proceedings of the Conference on Theory and Practice of Information Technologies, 2012
Evolutionary optimization with active learning of surrogate models and fixed evaluation batch.
Proceedings of the Conference on Theory and Practice of Information Technologies, 2012
Proceedings of the Conference on Theory and Practice of Information Technologies, 2012
Proceedings of the Genetic and Evolutionary Computation Conference, 2012
2011
Proceedings of the Seventh International Conference on Signal-Image Technology and Internet-Based Systems, 2011
Proceedings of the Conference on Theory and Practice of Information Technologies, 2011
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
2010
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.
Proceedings of the Conference on Theory and Practice of Information Technologies, 2010
Dynamic classifier aggregation using fuzzy integral with interaction-sensitive fuzzy measure.
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.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2010
Proceedings of the Analytical and Stochastic Modeling Techniques and Applications, 2010
2009
Int. J. Approx. Reason., 2009
Proceedings of the Conference on Theory and Practice of Information Technologies, 2009
Proceedings of the Neural Information Processing, 16th International Conference, 2009
Proceedings of the Adaptive and Natural Computing Algorithms, 9th International Conference, 2009
Classifier Aggregation using Local Classification Confidence.
Proceedings of the ICAART 2009 - Proceedings of the International Conference on Agents and Artificial Intelligence, Porto, Portugal, January 19, 2009
2008
J. Chem. Inf. Model., 2008
Proceedings of the Conference on Theory and Practice of Information Technologies, 2008
2007
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2007
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.
Neural Comput., 2006
2005
Kybernetika, 2005
2004
J. Chem. Inf. Model., 2004
2003
Theor. Comput. Sci., 2003
Proceedings of the Theory and Applications of Relational Structures as Knowledge Instruments, 2003
2002
Proceedings of the Discovery Science, 5th International Conference, 2002
2000
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2000
1999
Increasing the Diversity of Medical Data Mining through Distributed Object Technology.
Proceedings of the Medical Informatics Europe '99, Proceedings, Ljubljana, Slovenia, 1999
1998
Int. J. Medical Informatics, 1998
1994
Proceedings of the Fuzzy Logik, 1994
Integrating Frames, Rules and Uncertainty in a Database-Coupled Knowledge-Representation System.
Proceedings of the Database and Expert Systems Applications, 5th International Conference, 1994