Publication Records

HOUŠKA, Jan, Eladia María PEÑA-MÉNDEZ, Juan Ramón HERNANDEZ-FERNAUD, Eduardo SALIDO, Aleš HAMPL, Josef HAVEL and Petr VAŇHARA. Tissue profiling by nanogold-mediated mass spectrometry and artificial neural networks in the mouse model of human primary hyperoxaluria 1. Journal of Applied Biomedicine. České Budějovice: Faculty of Health and Social Care, University of South Bohemia, 2014, vol. 12, No 2, p. 119-125. ISSN 1214-021X. Available from: https://dx.doi.org/10.1016/j.jab.2013.12.001.

PEÑA MÉNDEZ, Eladia Maria, Marcos BÁEZ, Josef HAVEL and Jaromír VAŇHARA. Aplicaciones de Redes Neuronales (ANN) en Ciencia. (Artificial Neural Network (ANN) in Science.). 4th Edition, Erasmus Program. Spain: Universidad de La Laguna, Tenerife, Spain, 2012, 62 pp. TF-850/2012.

VAŇHARA, Jaromír, Milada BOCÁKOVÁ, Peter FEDOR, Kristýna JANIŠOVÁ, Eladia Maria PEŇA MÉNDEZ, Natália MURÁRIKOVÁ and Josef HAVEL. Artificial Neural Networks Identification: mayor step towards integrative taxonomy. In Integrative biology: From ecology to molecules. 2012.

MURÁRIKOVÁ, Natália, Jaromír VAŇHARA, Andrea TÓTHOVÁ and Josef HAVEL. Polyphasic approach applying artificial neural networks, molecular analysis and postabdomen morphology to West Palaearctic Tachina spp. (Diptera, Tachinidae). Bulletin of Entomological Research, doi:10.1017/S0007485310000295. Cambridge, England: CAMBRIDGE UNIV PRESS, 2011, vol. 101, No 1, p. 165-175. ISSN 0007-4853.

HAVEL, Josef, Jaromír VAŇHARA, Eladia PEÑA-MÉNDEZ and Marcos BÁEZ. Aplicaciones de Redes Neuronales en Ciencia (Artificial Neural Networks in Science). 2nd ed. La Laguna, Tenerife: University of La Lagauna, 2010, 68 pp.

VAŇHARA, Jaromír, Josef HAVEL and Peter FEDOR. Artificial Neural Networks (ANN) in entomology. The Tachinid Times. Ottawa: Agriculture & Agri-Food Canada, 2010, 23 (2010), No 1, p. 9-13. ISSN 1802-128X.

KRUZLICOVA, Dasa, Jan MOCÁK, Branko BALLA, Jan PETKA, Marta FARKOVÁ and Josef HAVEL. Classification of Slovak white wines using artificial neural networks and discriminant techniques. Food Chemistry. 2008 Elsevier Ltd, 2009, vol. 112, No 4, 7 pp. ISSN 0308-8146.

VAŇHARA, Jaromír, Peter FEDOR, Igor MALENOVSKÝ, Natália MURÁRIKOVÁ and Josef HAVEL. Insect identification using Artificial Neural Networks (ANN). In Proceedings CD incl. Abstracts and Author´s List ICE 2008. 2008.

LUBAL, Přemysl and Marta FARKOVÁ. Application of artificial neural networks in speciation analysis. In Utilizing of Bio-Electrochemical and Mathematical Methods in Biological Research. Kerala: Research Signpost, 2007, p. 35-49. BIOLOGICAL SCIENCES 37/661 (2). ISBN 81-308-0163-9.

VAŇHARA, Jaromír, Natália MURÁRIKOVÁ, Igor MALENOVSKÝ and Josef HAVEL. Artificial neural networks for fly identification: A case study from the genera Tachina and Ectophasia (Diptera, Tachinidae). Biologia. Bratislava: Versita, 2007, vol. 62, No 4, p. 462—469. ISSN 1335-6372.

VAŇHARA, Jaromír, Natália MURÁRIKOVÁ, Igor MALENOVSKÝ and Josef HAVEL. Artificial neural networks for insect identification. The Tachinid Times. Ottawa: Agriculture Canada, 2007, vol. 20, No 4, p. 8-9. ISSN 1802-128X.

HAVEL, Josef, Vilma BURŠÍKOVÁ and Jan JANČA. Plasma deposition of doped Diamond-like carbon nano layers. Process modeling and prediction using Artificial Neural Networks. In Nanotechnologia analitica. Cordoba, Spain: Universidad de Cordoba, 2007, p. 111-112.

TRNKOVÁ, Libuše, Jana TOPINKOVÁ, Eladia Maria PENA-MÉNDEZ and Josef HAVEL. Spectrophotometric analysis of nucleic acid bases in binary and ternary mixtures by partial least squares and artificial neural networks. In 3rd International Symposium on Computer Applications and Chemometrics in Analytical Chemistry SCAC 2006. Veszprém: University of Veszprém, 2006, p. 7-7. ISBN 963-9696-01-3.

PAZOUREK, Jiří, Dagmar GAJDOŠOVÁ, Miroslava SPANILÁ, Marta FARKOVÁ, Klára NOVOTNÁ and Josef HAVEL. Analysis of polyphenols in wines: correlation between total polyphenolic content and antioxidant potential from photometric measurements. Prediction of cultivars and vintage from capillary zone electrophoresis fingerprints using artificial neural network. Journal of Chromatography A. Elsevier B.V., 2005, vol. 1081, No 1, p. 48-54. ISSN 0021-9673.

HAVLIŠ, Jan, Klára NOVOTNÁ and Josef HAVEL. Optimization of high performance liquid chromatography separation of neuroprotective peptides. Fractional experimental design combined with Artificial neural networks. Journal of Chromatography A. Elsevier B.V., 2005, vol. 1096, 1-2, p. 50-57. ISSN 0021-9673.

SPANILÁ, Miroslava, Jiří PAZOUREK, Marta FARKOVÁ and Josef HAVEL. Optimization of solid-phase extraction using artificial neural networks in combination with experimental design for determination of resveratrol by capillary zone electrophoresis in wines. J. Chromatogr. A. Amsterdam (The Netherlands): Elsevier Science, 2005, vol. 1084, No 1, p. 180-185. ISSN 0021-9606.

HOLBOVÁ, Michaela and Přemysl LUBAL. SIMULTÁNNÍ SPECIAČNÍ SPEKTROFOTOMETRICKÁ ANALÝZA IONTŮ Fe2+ A Fe3+ (Simultaneous Spectrophotometric Analysis of Fe2+ and Fe3+ ions). CHEMICKÉ LISTY. Praha: Česká společnost chemická, 2005, vol. 99, No 3, p. 200-205. ISSN 0009-2770.

FARKOVÁ, Marta, Přemysl LUBAL and Josef HAVEL. Prediction of equilibrium constants in aqueous solution. I. The extrapolation of equilibrium constants to zero ionic strength using PLS, artificial neural networks, and genetic "soft" modelling. Chemical Papers. Bratislava: Slovak Academic Press, 2004, vol. 58, No 5, p. 299-305. ISSN 0366-6352.

LUBAL, Přemysl, Josef HAVEL and Marta FARKOVÁ. ANN Prediction of Equilibrium Constants in Aqueous Solutions. In Book of Abstracts of International Chemometric Conference CHEMOMETRICS VI. Brno: Masaryk University Press, 2002, p. P15, 1 pp. ISBN 80-210-2918-8.

LUBAL, Přemysl, Josef HAVEL and Marta FARKOVÁ. ANN Prediction of Migration Behaviour of Metal Complexes in Capillary Zone Electrophoresis. In Book of Abstracts of International Chemometric Conference Chemometrics VI. Brno: Masaryk University Press, 2002, p. P14, 1 pp. ISBN 80-210-2918-8.

MALOVANÁ, Sabina, Borges FRIAS GARCIA and Josef HAVEL. Artificial neural networks for modeling electrophoretic mobilities of inorganic cations and organic cationic oximes used as antidote contra nerve paralytic chemical weapons. ELECTROPHORESIS. WEINHEIM: WILEY-V C H VERLAG GMBH, 2002, vol. 23, No 12, p. 1815-1821. ISSN 0173-0835.

BOCAZ-BENEVENTI, Gaston, Rosa LATORRE, Marta FARKOVÁ and Josef HAVEL. Artificial neural networks for quantification in unresolved capillary electrophoresis peaks. Analytica Chimica Acta. Amsterdam: Elsevier Science Publishers, 2002, vol. 452, No 1, p. 47-63. ISSN 0003-2670.

HAVEL, Josef and Marta FARKOVÁ. CAPILLARY ELECTROPHORESIS CHIRAL SEPARATION MODELLING WITH THE USE OF ARTIFICIAL NEURAL NETWORKS. In CHIRANAL 2002. 1st ed. Olomouc: ALGA PRESS, 2002, p. 65. ISBN 80-86238-24-5.

BOCAZ BENEVENTI, Gaston Guiller, F. TAGLIARO, F. BORTOLOTTI, G. MANETTO and Josef HAVEL. Capillary zone electrophoresis and artificial neural networks for estimation of the post-mortem interval (PMI) using electrolytes measurements in human vetreous humour. International journal of legal medicine. Germany: Springer, 2002, vol. 116, No 1, p. 5-10. ISSN 0937-9827.

POLÁŠKOVÁ, Pavla, Gaston Guillermo BOCAZ BENEVENTI, Hua LI and Josef HAVEL. Evaluation of calibration data in capillary electrophoresis using artificial neural networks to increase precision of analysis. JOURNAL OF CHROMATOGRAPHY A. AMSTERDAM: ELSEVIER SCIENCE BV, 2002, vol. 979, 1-2, p. 59-67, 8Increase. ISSN 0021-9673.

HAVEL, Josef, Přemysl LUBAL and Marta FARKOVÁ. Evaluation of chemical equilibria with the use of artificial neural networks. POLYHEDRON. OXFORD: PERGAMON-ELSEVIER SCIENCE LTD, 2002, vol. 21, 14-15, p. 1375-1384. ISSN 0277-5387.

HAVEL, Josef, Přemysl LUBAL and Marta FARKOVÁ. Evaluation of Chemical Equilibrium Data with the Use of Artificial Neural Networks. Polyhedron. Velká Británie: Elsevier Science Ltd., 2002, vol. 21, 14-15, p. 1375-1384. ISSN 0277-5387.

MUZIKÁŘ, Martin, Marta FARKOVÁ and Josef HAVEL. SOFT MODELLING OF ELECTROPHORETIC MOBILITIES AND PREDICTION OF ANIONS RESOLUTION USING ARTIFICIAL NEURAL NETWORKS. In CHEMOMETRICS VI. I. Brno: Masaryk University Press, 2002, p. P17, 1 pp. ISBN 80-210-2918-8.

FARKOVÁ, Marta and Josef HAVEL. Umělé neuronové sítě (ANN) v chemii. Kvantitativní analýza z nerozlišených píků v kapilární elektroforéze s použitím vícerozměrné kalibrace kombinací plánování pokusů a ANN (Artificial neural networks (ANN) in chemistry. Quantitative analysis from unresolved peaks in capillary electrophoresis using multivariate calibration with the combination of experimental design and ANN). In Program přednášek 17. Chemometrického dne. 1st ed. Brno: Masarykova univerzita v Brně, 2002, p. 8.

FARKOVÁ, Marta and Josef HAVEL. UMĚLÉ NEURONOVÉ SÍTĚ V ANALYTICKÉ CHEMII (ARTIFICIAL NEURAL NETWORKS IN ANALYTICAL CHEMISTRY). Chemické listy. Praha: Česká společnost chemická, 2002, vol. 96, No 6, p. 464-465. ISSN 0009-2770.

TOPINKOVÁ, Jana, Libuše TRNKOVÁ and Josef HAVEL. Use of artificial neural networks for the evaluation UV-Vis spectra of adenine and cytosine in mixtures. In Chemické listy. Praha: Česká společnost chemická, 2002, p. 482. ISBN 0009-2770.

KRIŠTOF, Martin. Possibilities of the Implementation of Neural Networks in Small and Medium Firms. In Small and Medium Firm Management with Computer Support. Brno: Vysoké učení technické, Fakulta podnikatelská, 2001, p. 56-58. ISBN 80-86510-11-5.

CUKROWSKA, Ewa, Libuše TRNKOVÁ, René KIZEK and Josef HAVEL. Use of artificial neural networks for the evaluation of electrochemical signals of adenine and cytosine in mixtures. JOURNAL OF ELECTROANALYTICAL CHEMISTRY. Lausanne: ELSEVIER SCIENCE SA, LAUSANNE, 2001, vol. 2001, No 503, p. 117-124. ISSN 0022-0728.

CUKROWSKA, Ewa, Libuše TRNKOVÁ, René KIZEK and Josef HAVEL. Use of artificial neural networks for the evaluation of electrochemical signals of adenine and cytosine in mixtures interfered with hydrogen evolution. J.Electroanal.Chem. The Netherlands: Elsevier, 2001, vol. 2002, 1-2, p. 117-124. ISSN 0022-0728.

CUKROWSKA, Ewa, Libuše TRNKOVÁ, René KIZEK and Josef HAVEL. Artificial Neural Networks for Quantitative Analysis of Ade-Cyt Mixtures by UV-Vis Spectrophotometry. In Chemometrics V. I. Brno, Czech Republic: Masaryk University, Brno, 1999, p. 6. Brno Section of the Chemical Society.

ZIZKA, Jan and Zdenek KRATOCHVIL. An Application of RBF-Based ANN to Extraction of Rules. In Proc. of The International ICSC/IFAC Symposium on Neural Computation NC'98. Canada: ICSC Canada, 1998, p. 558-564. ISBN 3-906454-14-2.