Publications

Czech Gathering of Logicians 2022. Book of Abstracts

HANIKOVÁ, Zuzana, ŠVEJDAR, V., WANNENBURG, Johann Joubert. <em>Czech Gathering of Logicians 2022. Book of Abstracts</em>. Prague: ICS CAS, UTIA CAS, 2022. Dostupné z: https://uivty.cs.cas.cz/~clog2022/BookOfAbstracts.pdf

Autoři: Zuzana Haniková , V. Švejdar , Johann Joubert Wannenburg

General-purpose Library of ML/AI Methods

COUFAL, David, HAKL, František, VIDNEROVÁ, Petra. <em>General-purpose Library of ML/AI Methods</em> [software]. Ústav informatiky AV ČR, v. v. i., 2022. Dostupné z: https://github.com/PetraVidnerova/nck_python

Autoři: David Coufal , František Hakl , Petra Vidnerová

A Measure of Variability WIthin Parametric Families of Continuous Distributions

FABIÁN, Zdeněk. <em>A Measure of Variability WIthin Parametric Families of Continuous Distributions</em>. Prague: ICS CAS, 2022. Technical Report, V-1287.

Autoři: Zdeněk Fabián

Tisková zpráva - měření tepelného komfortu

GELETIČ, Jan, LEHNERT, M. <em>Tisková zpráva - měření tepelného komfortu</em>. Praha: ICS CAS, 2022. Press Release, PR-1. Dostupné z: https://www.cs.cas.cz/docs/tiskova_zprava_Geletic.pdf

Autoři: Jan Geletič , M. Lehnert

A New Look to Information and Uncertainty of Continuous Distributions

FABIÁN, Zdeněk. <em>A New Look to Information and Uncertainty of Continuous Distributions</em>. Prague: ICS CAS, 2022. Technical Report, V-1293.

Autoři: Zdeněk Fabián

Classes of Conflictness / Non-Conflictness of Belief Functions

DANIEL, Milan, KRATOCHVÍL, Václav. Classes of Conflictness / Non-Conflictness of Belief Functions. In: STUDENÝ, Milan, AY, Nihat, COLETTI, Giulianella, KLEITER, Gernot D., SHENOY, Prakash P., eds. <em>Proceedings of the 12th Workshop on Uncertainty Processing</em>. Prague: MatfyzPress, 2022, S. 97-110. ISBN 978-80-7378-460-7. Dostupné z: http://library.utia.cas.cz/separaty/2022/MTR/kratochvil-0558138.pdf

Autoři: Milan Daniel , Václav Kratochvíl

Assessing inter-rater reliability with heterogeneous variance components models: Flexible approach accounting for contextual variables

MARTINKOVÁ, Patrícia, BARTOŠ, František, BRABEC, Marek. <em>Assessing inter-rater reliability with heterogeneous variance components models: Flexible approach accounting for contextual variables</em>. Cornell University: Cornell University, 2022. arXiv.org e-Print archive, 2207.02071. Dostupné z: https://doi.org/10.48550/arXiv.2207.02071

Autoři: Patrícia Martinková , František Bartoš , Marek Brabec

On the precision of neural computation with interaural time differences in the medial superior olive

MARŠÁLEK, P., ŠANDA, Pavel, BUREŠ, Z. <em>On the precision of neural computation with interaural time differences in the medial superior olive</em>. Cornell University, 2022. arXiv.org e-Print archive, arXiv:2007.00524v1<br>Dostupné z: doi:10.48550/arXiv.2007.00524.

Autoři: P. Maršálek , Pavel Šanda , Z. Bureš

difNLR: DIF and DDF Detection by Non-Linear Regression Models, Version 1.4.1

HLADKÁ, Adéla, MARTINKOVÁ, Patrícia. <em>difNLR: DIF and DDF Detection by Non-Linear Regression Models, Version 1.4.1</em> [software]. Ústav informatiky AV ČR, v. v. i., 2022. Dostupné z: https://CRAN.R-project.org/package=difNLR

Autoři: Adéla Hladká , Patrícia Martinková