Masarykova univerzita

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Filtrování publikací

    2023

    1. CALATRAVA, Amanda, Hernán ASOREY, Jan ASTALOS, Alberto AZEVEDO, Francesco BENINCASA, Ignacio BLANQUER, Martin BOBAK, Francisco BRASILEIRO, Laia CODÓ, Laura del CANO, Borja ESTEBAN, Meritxell FERRET, Josef HANDL, Tobias KERZENMACHER, Valentin KOZLOV, Aleš KŘENEK, Ricardo MARTINS, Manuel PAVESIO, Antonio Juan RUBIO-MONTERO a Juan SÁNCHEZ-FERRERO. A survey of the European Open Science Cloud services for expanding the capacity and capabilities of multidisciplinary scientific applications. COMPUTER SCIENCE REVIEW. NETHERLANDS: ELSEVIER, 2023, roč. 49. ISSN 1574-0137. Dostupné z: https://dx.doi.org/10.1016/j.cosrev.2023.100571.
    2. LAŠTOVIČKA, Martin, Martin HUSÁK, Petr VELAN, Tomáš JIRSÍK a Pavel ČELEDA. Passive Operating System Fingerprinting Revisited: Evaluation and Current Challenges. Computer Networks. Netherlands: Elsevier, 2023, roč. 229, č. 109782, s. 1-12. ISSN 1389-1286. Dostupné z: https://dx.doi.org/10.1016/j.comnet.2023.109782.
    3. ARAUJO, Mateus, Marcus HUBER, Miguel NAVASCUES, Matej PIVOLUSKA a Armin TAVAKOLI. Quantum key distribution rates from semidefinite programming. QUANTUM. WIEN: VEREIN FORDERUNG OPEN ACCESS PUBLIZIERENS QUANTENWISSENSCHAF, 2023, roč. 7, č. 1, s. 1-18. ISSN 2521-327X. Dostupné z: https://dx.doi.org/10.22331/Q-2023-05-24-1019.
    4. HERREROS, David, Jakub KISKA, Erney RAMÍREZ-APORTELA, Jiří FILIPOVIČ, José María CARAZO a Carlos Oscar SORZANO. ZART: A Novel Multiresolution Reconstruction Algorithm with Motion-blur Correction for Single Particle Analysis. Journal of Molecular Biology. Elsevier, 2023, roč. 435, č. 9, s. 1-14. ISSN 0022-2836. Dostupné z: https://dx.doi.org/10.1016/j.jmb.2023.168088.

    2022

    1. ŠVÁBENSKÝ, Valdemar, Jan VYKOPAL, Pavel ČELEDA a Lydia KRAUS. Applications of Educational Data Mining and Learning Analytics on Data From Cybersecurity Training. Education and Information Technologies. Springer, 2022, roč. 27, č. 9, s. 12179 - 12212. ISSN 1360-2357. Dostupné z: https://dx.doi.org/10.1007/s10639-022-11093-6.
    2. BRÁZDIL, Tomáš, Matej GALLO, Rudolf NENUTIL, Andrej KUBANDA, Martin TOUFAR a Petr HOLUB. Automated annotations of epithelial cells and stroma in hematoxylin–eosin-stained whole-slide images using cytokeratin re-staining. The Journal of Pathology: Clinical Research. 2022, roč. 8, č. 2, s. 129-142. ISSN 2056-4538. Dostupné z: https://dx.doi.org/10.1002/cjp2.249.
    3. HUSÁK, Martin, Lukáš SADLEK, Stanislav ŠPAČEK, Martin LAŠTOVIČKA, Michal JAVORNÍK a Jana KOMÁRKOVÁ. CRUSOE: A Toolset for Cyber Situational Awareness and Decision Support in Incident Handling. Computers & Security. Elsevier, 2022, roč. 115, April, s. 1-19. ISSN 0167-4048. Dostupné z: https://dx.doi.org/10.1016/j.cose.2022.102609.
    4. APPEL, Paul, Alexander J. HEILMAN, Ezekiel W. WERTZ, David W. LYONS, Marcus HUBER, Matej PIVOLUSKA a Giuseppe VITAGLIANO. Finite-Function-Encoding Quantum States. QUANTUM. WIEN: VEREIN FORDERUNG OPEN ACCESS PUBLIZIERENS QUANTENWISSENSCHAF, 2022, roč. 6, č. 708, s. 1-34. ISSN 2521-327X. Dostupné z: https://dx.doi.org/10.22331/q-2022-05-09-708.
    5. WITTNER, Rudolf, Cecilia MASCIA, Matej GALLO, Francesca FREXIA, Heimo MÜLLER, Markus PLASS, Jörg GEIGER a Petr HOLUB. Lightweight Distributed Provenance Model for Complex Real–world Environments. Scientific Data. Berlin: Nature Research, 2022, roč. 2022, č. 9, s. 1-19. ISSN 2052-4463. Dostupné z: https://dx.doi.org/10.1038/s41597-022-01537-6.
    6. RAI, Ashutosh, Matej PIVOLUSKA, Souradeep SASMAL, Manik BANIK, Sibasish GHOSH a Martin PLESCH. Self-testing quantum states via nonmaximal violation in Hardy's test of nonlocality. PHYSICAL REVIEW A. UNITED STATES: AMER PHYSICAL SOC, 2022, roč. 105, č. 5, s. 1-8. ISSN 2469-9926. Dostupné z: https://dx.doi.org/10.1103/PhysRevA.105.052227.
    7. ŠVÁBENSKÝ, Valdemar, Jan VYKOPAL, Pavel ČELEDA, Kristián TKÁČIK a Daniel POPOVIČ. Student Assessment in Cybersecurity Training Automated by Pattern Mining and Clustering. Education and Information Technologies. Springer, 2022, roč. 27, č. 7, s. 9231-9262. ISSN 1360-2357. Dostupné z: https://dx.doi.org/10.1007/s10639-022-10954-4.
    8. MIHÁLIKOVÁ, Ivana, Matej PIVOLUSKA, Martin PLESCH, Martin FRIÁK, Daniel NAGAJ a Mojmír ŠOB. The Cost of Improving the Precision of the Variational Quantum Eigensolver for Quantum Chemistry. Nanomaterials. London: MDPI, 2022, roč. 12, č. 2, s. 1-22. ISSN 2079-4991. Dostupné z: https://dx.doi.org/10.3390/nano12020243.
    9. FILIPOVIČ, Jiří, Jana HOZZOVÁ, Amin NEZARAT, Jaroslav OĽHA a Filip PETROVIČ. Using hardware performance counters to speed up autotuning convergence on GPUs. Journal of Parallel and Distributed Computing. Elsevier, 2022, roč. 160, February, s. 16-35. ISSN 0743-7315. Dostupné z: https://dx.doi.org/10.1016/j.jpdc.2021.10.003.

    2021

    1. ŠVÁBENSKÝ, Valdemar, Pavel ČELEDA, Jan VYKOPAL a Silvia BRIŠÁKOVÁ. Cybersecurity Knowledge and Skills Taught in Capture the Flag Challenges. Computers & Security. Elsevier, 2021, roč. 102, č. 102154, s. 1-14. ISSN 0167-4048. Dostupné z: https://dx.doi.org/10.1016/j.cose.2020.102154.
    2. RAI, A., Matej PIVOLUSKA, Martin PLESCH, S. SASMAL, M. BANIK a S. GHOSH. Device-independent bounds from Cabello's nonlocality argument. Physical review A. New York: The American Physical Society, 2021, roč. 103, č. 6, s. 1-7. ISSN 2469-9926. Dostupné z: https://dx.doi.org/10.1103/PhysRevA.103.062219.
    3. DODA, M., Matej PIVOLUSKA a Martin PLESCH. Choice of mutually unbiased bases and outcome labeling affecting measurement outcome secrecy. Physical review A. New York: The American Physical Society, 2021, roč. 103, č. 3, s. 032206-32213. ISSN 2469-9926. Dostupné z: https://dx.doi.org/10.1103/PhysRevA.103.032206.
    4. NEUMANN, S.P., T. SCHEIDL, M. SELIMOVIC, Matej PIVOLUSKA, B. LIU, M. BOHMANN a R. URSIN. Model for optimizing quantum key distribution with continuous-wave pumped entangled-photon sources. Physical review A. New York: The American Physical Society, 2021, roč. 104, č. 2, s. 022406-22416. ISSN 2469-9926. Dostupné z: https://dx.doi.org/10.1103/PhysRevA.104.022406.
    5. HU, X.M., C. ZHANG, Y. GUO, F.X. WANG, W.B. XING, C.X. HUANG, B.H. LIU, Y.F. HUANG, C.F. LI, G.C. GUO, X.Q. GAO, Matej PIVOLUSKA a M. HUBER. Pathways for Entanglement-Based Quantum Communication in the Face of High Noise. Physical Review Letters. COLLEGE PK: The American Physical Society, 2021, roč. 127, č. 11, s. 1-7. ISSN 0031-9007. Dostupné z: https://dx.doi.org/10.1103/PhysRevLett.127.110505.
    6. DODA, M., M. HUBER, G. MURTA, Matej PIVOLUSKA, Martin PLESCH a C. VLACHOU. Quantum Key Distribution Overcoming Extreme Noise: Simultaneous Subspace Coding Using High-Dimensional Entanglement. PHYSICAL REVIEW APPLIED. COLLEGE PK: AMER PHYSICAL SOC, 2021, roč. 15, č. 3, s. 034003-34017. ISSN 2331-7019. Dostupné z: https://dx.doi.org/10.1103/PhysRevApplied.15.034003.
    7. PIVOLUSKA, Matej, Martin PLESCH, M. FARKAS, Natália RUŽIČKOVÁ, C. FLEGEL, N.H. VALENCIA, W. MCCUTCHEON, M. MALIK a EA AGUILAR. Semi-device-independent random number generation with flexible assumptions. NPJ QUANTUM INFORMATION. BERLIN: NATURE RESEARCH, 2021, roč. 7, č. 1, s. 1-12. ISSN 2056-6387. Dostupné z: https://dx.doi.org/10.1038/s41534-021-00387-1.
    8. ROČEK, Aleš, Michal JAVORNÍK, Karel SLAVÍČEK a Otto DOSTÁL. Zero Watermarking: Critical Analysis of Its Role in Current Medical Imaging. Journal of Digital Imaging. 2021, roč. 34, č. 1, s. 204-211. ISSN 0897-1889. Dostupné z: https://dx.doi.org/10.1007/s10278-020-00396-0.

    2020

    1. HU, Xiao-Min, WB. XING, C. ZHANG, BH. LIU, Matej PIVOLUSKA, M. HUBER, YF. HUANG, CF. LI a GC. GUO. Experimental creation of multi-photon high-dimensional layered quantum states. NPJ QUANTUM INFORMATION. BERLIN: NATURE RESEARCH, 2020, roč. 6, č. 1, s. 1-5. ISSN 2056-6387. Dostupné z: https://dx.doi.org/10.1038/s41534-020-00318-6.
    2. VALENCIA, N.H., V. SRIVASTAV, Matej PIVOLUSKA, M. HUBER, N. FRIIS, W. MCCUTCHEON a M. MALIK. High-Dimensional Pixel Entanglement: Efficient Generation and Certification. QUANTUM. WIEN: VEREIN FORDERUNG OPEN ACCESS PUBLIZIERENS QUANTENWISSENSCHAF, 2020, roč. 4, December, s. 376-394. ISSN 2521-327X. Dostupné z: https://dx.doi.org/10.22331/q-2020-12-24-376.
    3. FRIÁK, Martin, Dušan LAGO, Nikola KOUTNÁ, David HOLEC, Tomáš REBOK a Mojmír ŠOB. Multi-phase ELAStic Aggregates (MELASA) software tool for modeling anisotropic elastic properties of lamellar composites. Computer Physics Communications. Amsterdam: Elsevier, 2020, roč. 247, FEB 2020, s. 1-9. ISSN 0010-4655. Dostupné z: https://dx.doi.org/10.1016/j.cpc.2019.106863.

    2019

    1. VODÁK, Rostislav, Michal BÍL, Tomáš SVOBODA, Zuzana KŘIVÁNKOVÁ, Jan KUBEČEK, Tomáš REBOK a Petr HLINĚNÝ. A deterministic approach for rapid identification of the critical links in networks. PLOS ONE. United States: Public Library of Science, 2019, roč. 14, č. 7, s. 1-18. ISSN 1932-6203. Dostupné z: https://dx.doi.org/10.1371/journal.pone.0219658.
    2. BOU-HARB, Elias, Martin HUSÁK, Mourad DEBBABI a Chadi ASSI. Big Data Sanitization and Cyber Situational Awareness: A Network Telescope Perspective. IEEE Transactions on Big Data. IEEE, 2019, roč. 5, č. 4, s. 439-453. ISSN 2332-7790. Dostupné z: https://dx.doi.org/10.1109/TBDATA.2017.2723398.
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Zobrazeno: 6. 11. 2024 04:09