13136 / 13143 - Publications - 2018

13136 / 13143 - Intelligent Data Analysis

Publications 2018

Books, Book chapters and Lecture notes, Dissertations, Research reports, Unpublished lectures, Proceedings, Papers, Patents

Papers in WoS Journals

PROCHÁZKOVÁ, J., et al. Adaptive changes in global gene expression profile of lung carcinoma A549 cells acutely exposed to distinct types of AhR ligands. Toxicology Letters. 2018, 292 162-174. ISSN 0378-4274.

LIBALOVA, H., et al. Transcriptional response to organic compounds from diverse gasoline and biogasoline fuel emissions in human lung cells. Toxicology in Vitro. 2018, 48(2), 329-341. ISSN 0887-2333.

Papers in Other Journals

HUBÁČEK, O., G. ŠOUREK, and F. ŽELEZNÝ. Learning to predict soccer results from relational data with gradient boosted trees. Machine Learning. 2018, ISSN 0885-6125.

Conference Proceedings

ŠOUREK, G., et al. Stacked Structure Learning for Lifted Relational Neural Networks. In: Inductive Logic Programming 2017. 27th International Conference on Inductive Logic Programming, Orléans, 2017-09-04/2017-09-06. Cham: Springer International Publishing, 2018. pp. 140-151. 27. ISBN 978-3-319-78089-4.

SVATOŠ, M., et al. Pruning Hypothesis Spaces Using Learned Domain Theories. In: Inductive Logic Programming 2017. 27th International Conference on Inductive Logic Programming, Orléans, 2017-09-04/2017-09-06. Cham: Springer International Publishing, 2018. pp. 152-168. 27. ISBN 978-3-319-78089-4.

Research Reports

ČERNOCH, R. and F. ŽELEZNÝ. Zpráva o výslecích vývoje a validace. Praha: ČVUT/FEL/K13136, 2018. TG02010033_2018.

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