Search results

  1. 1.
    0586218 - ÚOCHB 2025 RIV US eng J - Journal Article
    Osifová, Zuzana - Socha, Ondřej - Dračínský, Martin
    NMR-Challenge.com: Exploring the Most Common Mistakes in NMR Assignments.
    Journal of Chemical Education. (2024). ISSN 0021-9584. E-ISSN 1938-1328
    R&D Projects: GA ČR(CZ) GA22-15374S
    Institutional support: RVO:61388963
    Keywords : second-year undergraduate * organic chemistry * computer-based learning * distance learning/self instruction * NMR spectroscopy
    Impact factor: 3, year: 2022
    Method of publishing: Open access
    https://doi.org/10.1021/acs.jchemed.4c00092
    Permanent Link: https://hdl.handle.net/11104/0353797
     
     
  2. 2.
    0585922 - ÚI 2025 C - Conference Paper (international conference)
    Dědič, M. - Bajer, L. - Procházka, P. - Holeňa, Martin
    Balancing performance and complexity with adaptive graph coarsening.
    The Second Tiny Papers Track at ICLR 2024. OpenReview.net / ICLR, 2024.
    [ICLR 2024. International Conference on Learning Representations /12./. Vienna (AT), 07.05.2024-11.05.2024]
    Institutional support: RVO:67985807
    Keywords : Graph representation learning * Graph coarsening * Performance-complexity trade-off * HARP
    OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
    https://openreview.net/forum?id=DrHwIzz93C
    Permanent Link: https://hdl.handle.net/11104/0353559
    FileDownloadSizeCommentaryVersionAccess
    0585922-oaf.pdf0249.5 KBOA CC BY 4.0Publisher’s postprintopen-access
     
     
  3. 3.
    0585897 - ÚOCHB 2025 RIV AT eng C - Conference Paper (international conference)
    Bushuiev, A. - Bushuiev, Roman - Kouba, P. - Filkin, A. - Gabrielová, M. - Gabriel, M. - Sedlář, J. - Pluskal, Tomáš - Damborský, J. - Mazurenko, S. - Šivic, J.
    Learning to design protein-protein interactions with enhanced generalization.
    ICLR 2024. The Twelfth International Conference on Learning Representations. Vienna: ICLR, 2024.
    [ICLR 2024. International Conference on Learning Representations /12./. Vienna (AT), 07.05.2024-11.05.2024]
    R&D Projects: GA MŠMT(CZ) LM2023055; GA ČR(CZ) GM21-11563M
    EU Projects: European Commission(XE) 891397 - KavaTarget
    Research Infrastructure: e-INFRA CZ II - 90254; RECETOX RI II - 90269
    Institutional support: RVO:61388963
    Keywords : protein-protein interactions * protein design * generalization * self-supervised learning * equivariant 3D representations
    OECD category: Other biological topics
    https://openreview.net/forum?id=xcMmebCT7s
    Permanent Link: https://hdl.handle.net/11104/0353542
    FileDownloadSizeCommentaryVersionAccess
    0585897.pdf09.5 MBPublisher’s postprintopen-access
     
     
  4. 4.
    0585883 - ASÚ 2025 RIV SK eng J - Journal Article
    Parimucha, Š. - Gajdoš, Pavol - Markus, Y. - Kudak, V.
    Deep-learning classification of eclipsing binaries.
    Contributions of the Astronomical Observatory Skalnaté Pleso. Roč. 54, č. 2 (2024), s. 167-170. ISSN 1335-1842. E-ISSN 1336-0337
    Institutional support: RVO:67985815
    Keywords : binaries stars * eclipsing * deep-learning
    OECD category: Astronomy (including astrophysics,space science)
    Impact factor: 0.5, year: 2022
    Method of publishing: Open access
    Permanent Link: https://hdl.handle.net/11104/0353524
    FileDownloadSizeCommentaryVersionAccess
    585883.pdf0245.4 KBPublisher’s postprintopen-access
     
     
  5. 5.
    0585458 - MBÚ 2025 RIV DE eng J - Journal Article
    Hyde, K. D. - Baldrian, Petr - Chen, Y. - Chethana, K. W. T. - de Hoog, S. - Doilom, M. - Gomes de Farias, A. R. - Goncalves, M. F. M. - Gonkhom, D. - Gui, H. - Hilario, S. - Hu, Y. - Jayawardena, R. S. - Khyaju, S. - Kirk, P. M. - Kohout, Petr - Luangharn, T. - Maharachchikumbura, S. S. N. - Manawasinghe, Ishara S. - Mortimer, P. E. - Niego, A. G. T. - Phonemany, M. - Sandargo, B. - Senanayake, I. C. - Stadler, M. - Surup, F. - Thongklang, N. - Wanasinghe, D. N. - Bahkali, A. H. - Walker, A.
    Current trends, limitations and future research in the fungi?
    Fungal Diversity. Roč. 125, č. 1 (2024), s. 1-71. ISSN 1560-2745. E-ISSN 1878-9129
    R&D Projects: GA MŠMT(CZ) LUC23152
    Institutional support: RVO:61388971
    Keywords : arbuscular mycorrhizal fungi * silver nanoparticles * endophytic fungi * plant-pathogens * agaricus-bisporus * green synthesis * genome-scale * karnal-bunt * phylogenetic contributions * submerged fermentation * amf * Biocircular economy * Biocontrol * Data repositories * Drug discovery * Ecology * Emerging diseases * Functional genomics * Fungal classification * hts * Machine learning * Mycoremediation * Nanotechnology * Novel compounds * Phylogenomics * Plant pathology * Species numbers
    OECD category: Microbiology
    Impact factor: 20.3, year: 2022
    Method of publishing: Open access
    https://link.springer.com/article/10.1007/s13225-023-00532-5
    Permanent Link: https://hdl.handle.net/11104/0353372
     
     
  6. 6.
    0585367 - ÚSMH 2025 RIV GB eng J - Journal Article
    Košek, F. - Dudák, J. - Tymlová, V. - Žemlička, J. - Řimnáčová, Daniela - Jehlička, J.
    Evaluation of pore-fracture microstructure of gypsum rock fragments using micro-CT.
    Micron. Roč. 181, JUNE (2024), č. článku 103633. ISSN 0968-4328. E-ISSN 1878-4291
    Institutional support: RVO:67985891
    Keywords : micro-CT * gypsum * weathering * segmentation * deep learning
    OECD category: Bioproducts (products that are manufactured using biological material as feedstock) biomaterials, bioplastics, biofuels, bioderived bulk and fine chemicals, bio-derived novel materials
    Impact factor: 2.4, year: 2022
    Method of publishing: Limited access
    https://doi.org/10.1016/j.micron.2024.103633
    Permanent Link: https://hdl.handle.net/11104/0353805
     
     
  7. 7.
    0585312 - ÚGN 2025 RIV CH eng C - Conference Paper (international conference)
    Hasal, M. - Pecha, Marek - Nowaková, J. - Hernández-Sosa, D. - Snášel, V. - Timkovič, J.
    Retinal Vessel Segmentation by U-Net with VGG-16 Backbone on Patched Images with Smooth Blending.
    Advances in Intelligent Networking and Collaborative Systems. Cham: Springer Cham, 2023 - (Barolli, L.), s. 465-474. Lecture Notes on Data Engineering and Communications Technologies, 182. ISBN 978-3-031-40970-7. ISSN 2367-4512. E-ISSN 2367-4520.
    [International Conference on Intelligent Networking and Collaborative Systems (INCoS-2023). Chiang Mai (TH), 06.09.2023-08.09.2023]
    Institutional support: RVO:68145535
    Keywords : deap learning * semantic segmentation * retina vessels
    OECD category: Applied mathematics
    https://link.springer.com/chapter/10.1007/978-3-031-40971-4_44
    Permanent Link: https://hdl.handle.net/11104/0353022
    FileDownloadSizeCommentaryVersionAccess
    UGN_0585312.pdf01.5 MBOtherrequire
     
     
  8. 8.
    0585305 - NHÚ 2025 RIV US eng J - Journal Article
    Sun, Yiman
    A dynamic model of censorship.
    Theoretical Economics. Roč. 19, č. 1 (2024), s. 29-60. ISSN 1933-6837. E-ISSN 1555-7561
    Grant - others:AV ČR(CZ) LQ300852101
    Program: Prémie Lumina quaeruntur
    Institutional support: RVO:67985998
    Keywords : censorship * information manipulation * learning
    OECD category: Applied Economics, Econometrics
    Impact factor: 1.7, year: 2022
    Method of publishing: Open access
    https://doi.org/10.3982/TE4639
    Permanent Link: https://hdl.handle.net/11104/0353017
     
     
  9. 9.
    0585135 - ÚI 2025 RIV DE eng J - Journal Article
    Kalina, Jan
    Exploring the impact of post-training rounding in regression models.
    Applications of Mathematics. Roč. 69, č. 2 (2024), s. 257-271. ISSN 0862-7940. E-ISSN 1572-9109
    R&D Projects: GA ČR(CZ) GA22-02067S
    Institutional support: RVO:67985807
    Keywords : supervised learning * trained model * perturbations * effect of rounding * low-precision arithmetic
    OECD category: Statistics and probability
    Impact factor: 0.7, year: 2022
    Method of publishing: Open access
    https://doi.org/10.21136/AM.2024.0090-23
    Permanent Link: https://hdl.handle.net/11104/0352867
    FileDownloadSizeCommentaryVersionAccess
    0585135-afinoa.pdf0184.7 KBOA CC BY 4.0Publisher’s postprintopen-access
     
     
  10. 10.
    0585085 - ÚGN 2025 RIV GB eng J - Journal Article
    Nag, A. - Gupta, M. - Ross, N. S. - Klichová, Dagmar - Petrů, J. - Krolczyk, G. M. - Hloch, S.
    Real-time prediction and classification of erosion crater characteristics in pulsating water jet machining of different materials with machine learning models.
    Archives of Civil and Mechanical Engineering. Roč. 24, č. 2 (2024), č. článku 97. ISSN 1644-9665. E-ISSN 2083-3318
    R&D Projects: GA ČR(CZ) GA23-05372S
    Institutional support: RVO:68145535
    Keywords : droplet erosion * wear * machine learning * crater * prediction * pulsating water jet machining
    OECD category: Mechanical engineering
    Impact factor: 4.4, year: 2022
    Method of publishing: Limited access
    https://link.springer.com/article/10.1007/s43452-024-00908-7
    Permanent Link: https://hdl.handle.net/11104/0352844
    FileDownloadSizeCommentaryVersionAccess
    UGN_0585085.pdf03.5 MBOtherrequire
     
     

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