Learned metric index—proposition of learned indexing for unstructured data M Antol, J Ol’ha, T Slanináková, V Dohnal Information Systems 100, 101774, 2021 | 35 | 2021 |
Data-driven learned metric index: an unsupervised approach T Slanináková, M Antol, J OǏha, V Kaňa, V Dohnal Similarity Search and Applications: 14th International Conference, SISAP …, 2021 | 20 | 2021 |
Learned indexing in proteins: substituting complex distance calculations with embedding and clustering techniques J Olha, T Slanináková, M Gendiar, M Antol, V Dohnal International Conference on Similarity Search and Applications, 274-282, 2022 | 7 | 2022 |
AlphaFind: discover structure similarity across the proteome in AlphaFold DB D Procházka, T Slanináková, J Olha, A Rošinec, K Grešová, M Jánošová, ... Nucleic Acids Research 52 (W1), W182-W186, 2024 | 6 | 2024 |
SISAP 2023 Indexing Challenge–Learned Metric Index T Slanináková, D Procházka, M Antol, J Olha, V Dohnal International Conference on Similarity Search and Applications, 282-290, 2023 | 5 | 2023 |
Reproducible experiments with learned metric index framework T Slanináková, M Antol, J Ol’ha, V Dohnal, S Ladra, MA Martínez-Prieto Information Systems 118, 102255, 2023 | 5 | 2023 |
Scaling learned metric index to 100m datasets D Procházka, T Slanináková, J Čerňanský, J Olha, M Antol, V Dohnal International Conference on Similarity Search and Applications, 266-273, 2024 | 2 | 2024 |
AlphaFind: Discover structure similarity across the entire known proteome D Procházka, T Slanináková, J Olha, A Rošinec, K Grešová, M Jánošová, ... bioRxiv, 2024.02. 15.580465, 2024 | 2 | 2024 |
Application of machine learning to searching in unstructured data T SLANINÁKOVÁ Brno, 2023 | 1 | 2023 |
Learned Indexing in Proteins: Extended Work on Substituting Complex Distance Calculations with Embedding and Clustering Techniques J Oľha, T Slanináková, M Gendiar, M Antol, V Dohnal arXiv preprint arXiv:2208.08910, 2022 | 1 | 2022 |
Implementation of Learned Metric Index BT Slanináková Brno, 2021 | 1 | 2021 |
High spatial and spectral resolution dataset of hyperspectral look-up tables for 3.5 million traits and structural combinations of Central European temperate broadleaf forests T Hanousek, T Slanináková, T Rebok, R Janoutová Data in Brief 57, 111105, 2024 | | 2024 |
Simulated trait and spectroscopy data to support retrieval of forest biophysical parameters from spaceborne imaging spectroscopy T Hanousek, T Slanináková, R Janoutová, M Švik, T Rebok, L Homolová | | 2024 |
A dataset of hyperspectral Look-Up Tables for 3.5 million traits and structural combinations of Central European temperate broadleaf forests T Hanousek, T Slanináková, T Rebok, R Janoutová | | 2024 |
Learned Metric Index T Slanináková, D Procházka | | 2024 |
AlphaFind—discover structure similarity across the proteome in AlphaFold DB T Slanináková, D Procházka, J Oľha, A Rošinec, K Grešová, J Čillík, ... | | 2024 |
AlphaFind—discover structure similarity across the proteome in AlphaFold DB K Grešová, P Špringerová, T Slanináková, D Procházka, J Oľha, ... | | 2024 |
3D-af-Surfer: Protein structural embeddings of AlphaFold DB L Novotná, T Slanináková, D Procházka, L Hejtmánek, A Rošinec, J Oľha, ... | | 2024 |
LMI-10: Protein structural embeddings of AlphaFold DB L Novotná, T Slanináková, D Procházka, L Hejtmánek, A Rošinec, J Oľha, ... | | 2024 |
3DZD: Protein structural embeddings of ESM Atlas L Novotná, T Slanináková, D Procházka, L Hejtmánek, A Rošinec, J Oľha, ... | | 2024 |