Publication Records

PROCHÁZKA, David, Terézia SLANINÁKOVÁ, Jaroslav OĽHA, Adrián ROŠINEC, Katarína GREŠOVÁ, Miriama JÁNOŠOVÁ, Jakub ČILLÍK, Jana PORUBSKÁ, Radka SVOBODOVÁ, Vlastislav DOHNAL and Matej ANTOL. AlphaFind: Discover structure similarity across the entire known proteome. bioRxiv, 2024.

PROCHÁZKA, David, Terézia SLANINÁKOVÁ, Jaroslav OĽHA, Adrián ROŠINEC, Katarína GREŠOVÁ, Miriama JÁNOŠOVÁ, Jakub ČILLÍK, Jana PORUBSKÁ, Radka SVOBODOVÁ, Vlastislav DOHNAL and Matej ANTOL. AlphaFind: discover structure similarity across the proteome in AlphaFold DB. Nucleic acids research. Oxford: Oxford University Press, 2024, Neuveden, May 15, p. 1-5. ISSN 0305-1048. Available from: https://dx.doi.org/10.1093/nar/gkae397.

SLANINÁKOVÁ, Terézia, Matej ANTOL, Jaroslav OĽHA, Vlastislav DOHNAL, Susana LADRA and Miguel A. MARTÍNEZ-PRIETO. Reproducible experiments with Learned Metric Index Framework. Information systems. Elsevier, 2023, vol. 118, No 1, p. 102255-102270. ISSN 0306-4379. Available from: https://dx.doi.org/10.1016/j.is.2023.102255.

SLANINÁKOVÁ, Terézia, David PROCHÁZKA, Matej ANTOL, Jaroslav OĽHA and Vlastislav DOHNAL. SISAP 2023 Indexing Challenge – Learned Metric Index. In Pedreira, O., Estivill-Castro, V. Similarity Search and Applications. SISAP 2023. Lecture Notes in Computer Science, vol 14289. Cham: Springer, 2023, p. 282-290. ISBN 978-3-031-46993-0. Available from: https://dx.doi.org/10.1007/978-3-031-46994-7_24.

OĽHA, Jaroslav, Terézia SLANINÁKOVÁ, Martin GENDIAR, Matej ANTOL and Vlastislav DOHNAL. Learned Indexing in Proteins: Extended Work on Substituting Complex Distance Calculations with Embedding and Clustering Techniques. arXiv, 2022. Available from: https://dx.doi.org/10.48550/ARXIV.2208.08910.

OĽHA, Jaroslav, Terézia SLANINÁKOVÁ, Martin GENDIAR, Matej ANTOL and Vlastislav DOHNAL. Learned Indexing in Proteins: Substituting Complex Distance Calculations with Embedding and Clustering Techniques. In Tomáš Skopal, Fabrizio Falchi, Jakub Lokoč, Maria Luisa Sapino, Ilaria Bartolini, Marco Patella. Similarity Search and Applications, 15th International Conference, SISAP 2022, Bologna, Italy, October 5–7, 2022, Proceedings. 1st ed. Cham: Springer Cham, 2022, p. 274-282. ISBN 978-3-031-17848-1. Available from: https://dx.doi.org/10.1007/978-3-031-17849-8_22.

SLANINÁKOVÁ, Terézia, Matej ANTOL, Jaroslav OĽHA and Vlastislav DOHNAL. Data-driven Learned Metric Index: an Unsupervised Approach. In 14th International Conference on Similarity Search and Applications (SISAP 2021). Cham: Springer, 2021, p. 81-94. ISBN 978-3-030-89656-0. Available from: https://dx.doi.org/10.1007/978-3-030-89657-7_7.

ANTOL, Matej, Jaroslav OĽHA, Terézia SLANINÁKOVÁ and Vlastislav DOHNAL. Learned metric index - proposition of learned indexing for unstructured data. Information Systems. Elsevier, 2021, vol. 100, No 101774, p. 1-12. ISSN 0306-4379. Available from: https://dx.doi.org/10.1016/j.is.2021.101774.

ANTOL, Matej, Miriama JÁNOŠOVÁ and Vlastislav DOHNAL. Metric hull as similarity-aware operator for representing unstructured data. Pattern Recognition Letters. Amsterdam: Elsevier, 2021, vol. 149, September 2021, p. 91-98. ISSN 0167-8655. Available from: https://dx.doi.org/10.1016/j.patrec.2021.05.011.

JÁNOŠOVÁ, Miriama, David PROCHÁZKA and Vlastislav DOHNAL. Organizing Similarity Spaces using Metric Hulls. In 14th International Conference on Similarity Search and Applications (SISAP 2021). Cham: Springer, 2021, p. 3-16. ISBN 978-3-030-89656-0. Available from: https://dx.doi.org/10.1007/978-3-030-89657-7_1.