13136 / 13143 - Publications - 2016

13136 / 13143 - Intelligent Data Analysis

Publications 2016

Papers in WoS Journals

ČERNOCH, R., O. KUŽELKA, and F. ŽELEZNÝ. Polynomial and Extensible Solutions in Lock-Chart Solving. Applied Artificial Intelligence. 2016, 30(10), 923-941. ISSN 0883-9514. DOI 10.1080/08839514.2017.1279110.

BELIČKOVÁ, M., et al. Up-regulation of ribosomal genes is associated with a poor response to azacitidine in myelodysplasia and related neoplasms. International Journal of Hematology. 2016, 32(168), 566-573. ISSN 0925-5710. DOI 10.1007/s12185-016-2058-3.

LÍBALOVÁ, H., et al. Comparative Analysis of Toxic Responses of Organic Extracts from Diesel and Selected Alternative Fuels Engine Emissions in Human Lung BEAS-2B Cells. International Journal of Molecular Sciences. 2016, 17(11), ISSN 1422-0067. DOI 10.3390/ijms17111833. Available from: http://www.mdpi.com/1422-0067/17/11/1833/htm

Patents

Cisco Technology, Inc. Events from network flows. Inventors: G. ŠOUREK, et al. United States. Patent US 9374383 B2. 2016-06-21. Available from: https://www.google.com/patents/US20160112442?hl=cs

Conference Proceedings

MALINKA, F. Proposal For a Finding Consensus Among Discriminative Motifs in the Task of mRNA Localization in Drosophila melanogaster. In: HUSNÍK, L., ed. Proceedings of the 20th International Scientific Student Conferenece POSTER 2016. 20th International Student Conference on Electrical Engineering, Praha, 2016-05-24. Praha: Czech Technical University in Prague, 2016. p. 1-4. ISBN 978-80-01-05950-0. Available from: http://radio.feld.cvut.cz/conf/poster/proceedings/Section_ICS/ICS_089_Malinka.pdf

NAVA VELAZCO, U., et al. Characterization of Hematologic Malignancies based on Discrete Orthogonal Moments. In: Image Processing Theory Tools and Applications. 6th International Conference on Image Processing Theory Tools and Applications, Oulu, 2016-12-12/2016-12-15. Piscataway: IEEE, 2016. ISSN 2154-512X. ISBN 978-1-4673-8910-5. DOI 10.1109/IPTA.2016.7821039.

KLÉMA, J., F. MALINKA, and F. ŽELEZNÝ. Semantic Biclustering: A New Way to Analyze and Interpret Gene Expression Data. In: Bioinformatics Research and Applications. 12th International Symposium on Bioinformatics Research and Applications (ISBRA), Minsk, 2016-06-05/2016-06-08. Heidelberg: Springer, 2016. p. 332-333. ISSN 0302-9743. ISBN 978-3-319-38781-9. DOI 10.1007/978-3-319-38782-6.

ANDĚL, M., P. STRNAD, and J. KLÉMA. miXGENE: an Effective Public Tool for Integrative Analysis of High-throuhput Omics Data. In: BIELIKOVÁ, M and I SRBA, eds. Proceedings in Informatics and Information Technologies - (WIKT & DaZ 2016) 11th Workshop on Intelligent and Knowledge Oriented Technologies 35th Conference on Data and Knowledge. WIKT a Data a Znalosti 2016, Smolenice, 2016-11-03/2016-11-04. Bratislava: Vydavatel'stvo STU, 2016. p. 271-274. ISBN 978-80-227-4619-9. Available from: https://wikt-daz2016.fiit.stuba.sk/wp-content/uploads/2016/11/WIKT-DaZ-2016_Proceedings.pdf

NAVA VELAZCO, U., et al. Classification of tumor epithelium and stroma in colorectal cancer based on discrete tchebichef moments. In: CLIP 2015: Proceedings of the 4th MICCAIA Workshop on Clinical Image-Based Procedures. CLIP2015: 4th MICCAIA Workshop on Clinical Image-based Procedures - Translational Research in Medical Imaging, Munich, 2015-10-05. Cham: Springer, 2016. p. 79-87. LNCS. vol. 9401. ISSN 0302-9743. ISBN 978-3-319-31807-3. DOI 10.1007/978-3-319-31808-0_10.

PLUSKAL, O. and J. KLÉMA. Action Based Feature Extraction from User Logs. In: BALCAN, M.F. and K.Q. WEINBERGER, eds. Proceedings of The 33rd International Conference on Machine Learning. ICML 2016 Workshop on Computational Frameworks for Personalization, New York, 2016-06-24. Brookline: Microtome Publishing, 2016. 48. ISSN 1532-4435.

MALINKA, F., J. KLÉMA, and F. ŽELEZNÝ. Sémantická dvojshluková analýza dat genové exprese. In: ČECH, P. and D. SVOZIL, eds. Konferenční sborník ENBIK 2016. ENBIK 2016 - Národní bioinformatická konference, Loučeň, 2016-06-16/2016-06-15. Praha: Vysoká škola chemicko-technologická v Praze. Centrální laboratoře, 2016. ISBN 978-80-7080-960-0.

TOŽIČKA, J., et al. Recursive Polynomial Reductions for Classical Planning. In: Proceedings International Conference on Automated Planning and Scheduling. 26th International Conference on Automated Planning and Scheduling, London, 2016-06-12/2016-06-17. Menlo Park: AAAI Press, 2016. p. 317-325. ISSN 2334-0835.

Research Reports

KLÉMA, J., M. ANDĚL, and O. VOTAVA. Zefektivnění veřejného systému miXGENE pro integrativní analýzu molekulárních dat. [Research Report] Praha: ČVUT FEL, Katedra počítačů, 2016. Report no. 8301661C000.

KUNGURTSEV, V. and T. PEVNÝ. Algorithms for Solving Optimization Problems Arsing from Deep Neural Net Models: Smooth Problems. [Research Report] Praha: CTU FEE. Artificial Intelligence Center, 2016. Report no. 8301351C006.

The page was created 18.04.2024 05:00:01
Responsible person: RNDr. Patrik Mottl, Ph.D.