Masaryk University

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    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 and 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, vol. 49. ISSN 1574-0137. Available from: https://dx.doi.org/10.1016/j.cosrev.2023.100571.
    2. LAŠTOVIČKA, Martin, Martin HUSÁK, Petr VELAN, Tomáš JIRSÍK and Pavel ČELEDA. Passive Operating System Fingerprinting Revisited: Evaluation and Current Challenges. Computer Networks. Netherlands: Elsevier, 2023, vol. 229, No 109782, p. 1-12. ISSN 1389-1286. Available from: https://dx.doi.org/10.1016/j.comnet.2023.109782.
    3. ARAUJO, Mateus, Marcus HUBER, Miguel NAVASCUES, Matej PIVOLUSKA and Armin TAVAKOLI. Quantum key distribution rates from semidefinite programming. QUANTUM. WIEN: VEREIN FORDERUNG OPEN ACCESS PUBLIZIERENS QUANTENWISSENSCHAF, 2023, vol. 7, No 1, p. 1-18. ISSN 2521-327X. Available from: https://dx.doi.org/10.22331/Q-2023-05-24-1019.
    4. HERREROS, David, Jakub KISKA, Erney RAMÍREZ-APORTELA, Jiří FILIPOVIČ, José María CARAZO and Carlos Oscar SORZANO. ZART: A Novel Multiresolution Reconstruction Algorithm with Motion-blur Correction for Single Particle Analysis. Journal of Molecular Biology. Elsevier, 2023, vol. 435, No 9, p. 1-14. ISSN 0022-2836. Available from: https://dx.doi.org/10.1016/j.jmb.2023.168088.

    2022

    1. ŠVÁBENSKÝ, Valdemar, Jan VYKOPAL, Pavel ČELEDA and Lydia KRAUS. Applications of Educational Data Mining and Learning Analytics on Data From Cybersecurity Training. Education and Information Technologies. Springer, 2022, vol. 27, No 9, p. 12179 - 12212. ISSN 1360-2357. Available from: https://dx.doi.org/10.1007/s10639-022-11093-6.
    2. BRÁZDIL, Tomáš, Matej GALLO, Rudolf NENUTIL, Andrej KUBANDA, Martin TOUFAR and 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, vol. 8, No 2, p. 129-142. ISSN 2056-4538. Available from: https://dx.doi.org/10.1002/cjp2.249.
    3. HUSÁK, Martin, Lukáš SADLEK, Stanislav ŠPAČEK, Martin LAŠTOVIČKA, Michal JAVORNÍK and Jana KOMÁRKOVÁ. CRUSOE: A Toolset for Cyber Situational Awareness and Decision Support in Incident Handling. Computers & Security. Elsevier, 2022, vol. 115, April, p. 1-19. ISSN 0167-4048. Available from: 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 and Giuseppe VITAGLIANO. Finite-Function-Encoding Quantum States. QUANTUM. WIEN: VEREIN FORDERUNG OPEN ACCESS PUBLIZIERENS QUANTENWISSENSCHAF, 2022, vol. 6, No 708, p. 1-34. ISSN 2521-327X. Available from: 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 and Petr HOLUB. Lightweight Distributed Provenance Model for Complex Real–world Environments. Scientific Data. Berlin: Nature Research, 2022, vol. 2022, No 9, p. 1-19. ISSN 2052-4463. Available from: https://dx.doi.org/10.1038/s41597-022-01537-6.
    6. RAI, Ashutosh, Matej PIVOLUSKA, Souradeep SASMAL, Manik BANIK, Sibasish GHOSH and Martin PLESCH. Self-testing quantum states via nonmaximal violation in Hardy's test of nonlocality. PHYSICAL REVIEW A. UNITED STATES: AMER PHYSICAL SOC, 2022, vol. 105, No 5, p. 1-8. ISSN 2469-9926. Available from: https://dx.doi.org/10.1103/PhysRevA.105.052227.
    7. ŠVÁBENSKÝ, Valdemar, Jan VYKOPAL, Pavel ČELEDA, Kristián TKÁČIK and Daniel POPOVIČ. Student Assessment in Cybersecurity Training Automated by Pattern Mining and Clustering. Education and Information Technologies. Springer, 2022, vol. 27, No 7, p. 9231-9262. ISSN 1360-2357. Available from: https://dx.doi.org/10.1007/s10639-022-10954-4.
    8. MIHÁLIKOVÁ, Ivana, Matej PIVOLUSKA, Martin PLESCH, Martin FRIÁK, Daniel NAGAJ and Mojmír ŠOB. The Cost of Improving the Precision of the Variational Quantum Eigensolver for Quantum Chemistry. Nanomaterials. London: MDPI, 2022, vol. 12, No 2, p. 1-22. ISSN 2079-4991. Available from: https://dx.doi.org/10.3390/nano12020243.
    9. FILIPOVIČ, Jiří, Jana HOZZOVÁ, Amin NEZARAT, Jaroslav OĽHA and Filip PETROVIČ. Using hardware performance counters to speed up autotuning convergence on GPUs. Journal of Parallel and Distributed Computing. Elsevier, 2022, vol. 160, February, p. 16-35. ISSN 0743-7315. Available from: https://dx.doi.org/10.1016/j.jpdc.2021.10.003.

    2021

    1. ŠVÁBENSKÝ, Valdemar, Pavel ČELEDA, Jan VYKOPAL and Silvia BRIŠÁKOVÁ. Cybersecurity Knowledge and Skills Taught in Capture the Flag Challenges. Computers & Security. Elsevier, 2021, vol. 102, No 102154, p. 1-14. ISSN 0167-4048. Available from: https://dx.doi.org/10.1016/j.cose.2020.102154.
    2. RAI, A., Matej PIVOLUSKA, Martin PLESCH, S. SASMAL, M. BANIK and S. GHOSH. Device-independent bounds from Cabello's nonlocality argument. Physical review A. New York: The American Physical Society, 2021, vol. 103, No 6, p. 1-7. ISSN 2469-9926. Available from: https://dx.doi.org/10.1103/PhysRevA.103.062219.
    3. DODA, M., Matej PIVOLUSKA and Martin PLESCH. Choice of mutually unbiased bases and outcome labeling affecting measurement outcome secrecy. Physical review A. New York: The American Physical Society, 2021, vol. 103, No 3, p. 032206-32213. ISSN 2469-9926. Available from: https://dx.doi.org/10.1103/PhysRevA.103.032206.
    4. NEUMANN, S.P., T. SCHEIDL, M. SELIMOVIC, Matej PIVOLUSKA, B. LIU, M. BOHMANN and 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, vol. 104, No 2, p. 022406-22416. ISSN 2469-9926. Available from: 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 and M. HUBER. Pathways for Entanglement-Based Quantum Communication in the Face of High Noise. Physical Review Letters. COLLEGE PK: The American Physical Society, 2021, vol. 127, No 11, p. 1-7. ISSN 0031-9007. Available from: https://dx.doi.org/10.1103/PhysRevLett.127.110505.
    6. DODA, M., M. HUBER, G. MURTA, Matej PIVOLUSKA, Martin PLESCH and C. VLACHOU. Quantum Key Distribution Overcoming Extreme Noise: Simultaneous Subspace Coding Using High-Dimensional Entanglement. PHYSICAL REVIEW APPLIED. COLLEGE PK: AMER PHYSICAL SOC, 2021, vol. 15, No 3, p. 034003-34017. ISSN 2331-7019. Available from: 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 and EA AGUILAR. Semi-device-independent random number generation with flexible assumptions. NPJ QUANTUM INFORMATION. BERLIN: NATURE RESEARCH, 2021, vol. 7, No 1, p. 1-12. ISSN 2056-6387. Available from: https://dx.doi.org/10.1038/s41534-021-00387-1.
    8. ROČEK, Aleš, Michal JAVORNÍK, Karel SLAVÍČEK and Otto DOSTÁL. Zero Watermarking: Critical Analysis of Its Role in Current Medical Imaging. Journal of Digital Imaging. 2021, vol. 34, No 1, p. 204-211. ISSN 0897-1889. Available from: 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 and GC. GUO. Experimental creation of multi-photon high-dimensional layered quantum states. NPJ QUANTUM INFORMATION. BERLIN: NATURE RESEARCH, 2020, vol. 6, No 1, p. 1-5. ISSN 2056-6387. Available from: https://dx.doi.org/10.1038/s41534-020-00318-6.
    2. VALENCIA, N.H., V. SRIVASTAV, Matej PIVOLUSKA, M. HUBER, N. FRIIS, W. MCCUTCHEON and M. MALIK. High-Dimensional Pixel Entanglement: Efficient Generation and Certification. QUANTUM. WIEN: VEREIN FORDERUNG OPEN ACCESS PUBLIZIERENS QUANTENWISSENSCHAF, 2020, vol. 4, December, p. 376-394. ISSN 2521-327X. Available from: https://dx.doi.org/10.22331/q-2020-12-24-376.
    3. FRIÁK, Martin, Dušan LAGO, Nikola KOUTNÁ, David HOLEC, Tomáš REBOK and Mojmír ŠOB. Multi-phase ELAStic Aggregates (MELASA) software tool for modeling anisotropic elastic properties of lamellar composites. Computer Physics Communications. Amsterdam: Elsevier, 2020, vol. 247, FEB 2020, p. 1-9. ISSN 0010-4655. Available from: https://dx.doi.org/10.1016/j.cpc.2019.106863.

    2019

    1. VODÁK, Rostislav, Michal BÍL, Tomáš SVOBODA, Zuzana KŘIVÁNKOVÁ, Jan KUBEČEK, Tomáš REBOK and Petr HLINĚNÝ. A deterministic approach for rapid identification of the critical links in networks. PLOS ONE. United States: Public Library of Science, 2019, vol. 14, No 7, p. 1-18. ISSN 1932-6203. Available from: https://dx.doi.org/10.1371/journal.pone.0219658.
    2. BOU-HARB, Elias, Martin HUSÁK, Mourad DEBBABI and Chadi ASSI. Big Data Sanitization and Cyber Situational Awareness: A Network Telescope Perspective. IEEE Transactions on Big Data. IEEE, 2019, vol. 5, No 4, p. 439-453. ISSN 2332-7790. Available from: https://dx.doi.org/10.1109/TBDATA.2017.2723398.
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