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Martin Holena
Martin Holena
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Statistical analysis of past catalytic data on oxidative methane coupling for new insights into the composition of high‐performance catalysts
U Zavyalova, M Holena, R Schlögl, M Baerns
ChemCatChem 3 (12), 1935-1947, 2011
5012011
Catalyst Development for CO2 Hydrogenation to Fuels
U Rodemerck, M Holeňa, E Wagner, Q Smejkal, A Barkschat, M Baerns
ChemCatChem 5 (7), 1948-1955, 2013
1882013
Application of a genetic algorithm and a neural network for the discovery and optimization of new solid catalytic materials
U Rodemerck, M Baerns, M Holena, D Wolf
Applied Surface Science 223 (1-3), 168-174, 2004
1542004
Developing catalytic materials for the oxidative coupling of methane through statistical analysis of literature data
EV Kondratenko, M Schlüter, M Baerns, D Linke, M Holena
Catalysis Science & Technology 5 (3), 1668-1677, 2015
1052015
The GUHA method and its meaning for data mining
P Hájek, M Holeňa, J Rauch
Journal of Computer and System Sciences 76 (1), 34-48, 2010
922010
Feedforward neural networks in catalysis: A tool for the approximation of the dependency of yield on catalyst composition, and for knowledge extraction
M Holeňa, M Baerns
Catalysis Today 81 (3), 485-494, 2003
902003
Comparing middleware concepts for advanced healthcare system architectures
B Blobel, M Holena
International journal of medical informatics 46 (2), 69-85, 1997
861997
Revealing property-performance relationships for efficient CO2 hydrogenation to higher hydrocarbons over Fe-based catalysts: Statistical analysis of literature data and its …
Q Yang, A Skrypnik, A Matvienko, H Lund, M Holena, EV Kondratenko
Applied Catalysis B: Environmental 282, 119554, 2021
572021
Gaussian process surrogate models for the CMA evolution strategy
L Bajer, Z Pitra, J Repický, M Holeňa
Evolutionary computation 27 (4), 665-697, 2019
562019
Benchmarking Gaussian processes and random forests surrogate models on the BBOB noiseless testbed
L Bajer, Z Pitra, M Holeňa
Proceedings of the Companion Publication of the 2015 Annual Conference on …, 2015
532015
New catalytic materials for the high-temperature synthesis of hydrocyanic acid from methane and ammonia by high-throughput approach
S Moehmel, N Steinfeldt, S Engelschalt, M Holena, S Kolf, M Baerns, ...
Applied Catalysis A: General 334 (1-2), 73-83, 2008
532008
Combinatorial development of solid catalytic materials: design of high-throughput experiments, data analysis, data mining
M Baerns, M Holena
World Scientific, 2009
492009
Fuzzy hypotheses testing in the framework of fuzzy logic
M Holeňa
Fuzzy Sets and Systems 145 (2), 229-252, 2004
492004
An approach to structure determination and estimation of hierarchical Archimedean copulas and its application to Bayesian classification
J Górecki, M Hofert, M Holeňa
Journal of Intelligent Information Systems 46 (1), 21-59, 2016
442016
Fuzzy hypotheses for GUHA implications
M Holeňa
Fuzzy Sets and Systems 98 (1), 101-125, 1998
421998
The influence of preparation variables on the performance of Pd/Al2O3 catalyst in the hydrogenation of 1, 3-butadiene: Building a basis for reproducible catalyst synthesis
T Cukic, R Kraehnert, M Holena, D Herein, D Linke, U Dingerdissen
Applied Catalysis A: General 323, 25-37, 2007
402007
Anomaly explanation with random forests
M Kopp, T Pevný, M Holeňa
Expert Systems with Applications 149, 113187, 2020
362020
Optimization of magnetically driven directional solidification of silicon using artificial neural networks and Gaussian process models
N Dropka, M Holena
Journal of Crystal Growth 471, 53-61, 2017
362017
Surrogate model for continuous and discrete genetic optimization based on RBF networks
L Bajer, M Holeňa
Intelligent Data Engineering and Automated Learning–IDEAL 2010: 11th …, 2010
352010
Optimization of catalysts using specific, description-based genetic algorithms
M Holena, T Cukic, U Rodemerck, D Linke
Journal of chemical information and modeling 48 (2), 274-282, 2008
332008
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