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
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.
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
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
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.
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
Introduction to statistical inference based on scalar-valued scores
FABIÁN, Zdeněk. <em>Introduction to statistical inference based on scalar-valued scores</em>. Prague: ICS CAS, 2022. Technical Report, V-1294.
Scalar-Valued Score Functions and their use in Parametric Estimation
FABIÁN, Zdeněk. <em>Scalar-Valued Score Functions and their use in Parametric Estimation</em>. Prague: ICS CAS, 2022. Technical Report, V-1291.
Evropská Street Resiliency
GELETIČ, Jan, DANIEL, Milan, KRČ, Pavel, RESLER, Jaroslav, KOZHEVNIKOV, S., SVÍTEK, M. <em>Evropská Street Resiliency</em>. Ústav informatiky AV ČR, v. v. i., 2022. Specializovaná mapa.
Causality Preserving Chaotic Transformation and Classification using Neurochaos Learning
HARIKRISHNAN, N. B., KATHPALIA, Aditi, NAGARAJ, N. <em>Causality Preserving Chaotic Transformation and Classification using Neurochaos Learning</em>. OpenReview.net, 2022. Thirty-Sixth Conference on Neural Information Processing Systems. Accepted Papers. Dostupné z: https://openreview.net/forum?id=XdMusblCkB
Cause-Effect Preservation and Classification using Neurochaos Learning
HARIKRISHNAN, N. B., KATHPALIA, Aditi, NAGARAJ, N. <em>Cause-Effect Preservation and Classification using Neurochaos Learning</em>. Cornell University, 2022. arXiv.org e-Print archive, arXiv:2201.12181<br>Dostupné z: doi:10.48550/arXiv.2201.12181.
Projekt EduTest: Workshop pro aplikačního garanta
MARTINKOVÁ, Patrícia. <em>Projekt EduTest: Workshop pro aplikačního garanta</em>. Praha, Ústav informatiky AV ČR, v. v. i., 8. 4. 2022 - 8. 4. 2022. Workshop. Dostupné z: https://edutest.cz/2022/04/08/8-4-2022-workshop-pro-aplikacniho-garanta/