| 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 International Conference on Similarity Search and Applications, 81-94, 2021 | 20 | 2021 |
| Optimizing query performance with inverted cache in metric spaces M Antol, V Dohnal Advances in Databases and Information Systems: 20th East European Conference …, 2016 | 10 | 2016 |
| 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 | 8* | 2024 |
| Metric hull as similarity-aware operator for representing unstructured data M Antol, M Jánošová, V Dohnal Pattern Recognition Letters 149, 91-98, 2021 | 8 | 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 |
| 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 |
| A Case Study on the Impact of Forensic-Ready Information Systems on the Security Posture L Daubner, R Matulevičius, B Buhnova, M Antol, M Růžička, T Pitner International Conference on Advanced Information Systems Engineering, 522-538, 2023 | 4 | 2023 |
| BM-index: balanced metric space index based on weighted Voronoi partitioning M Antol, V Dohnal Advances in Databases and Information Systems: 23rd European Conference …, 2019 | 4 | 2019 |
| Popularity-based ranking for fast approximate knn search M Antol, V Dohnal Informatica 28 (1), 1-21, 2017 | 3 | 2017 |
| Estimating resource budgets to ensure autotuning efficiency J Olha, J Hozzová, M Antol, J Filipovič Parallel Computing, 103126, 2025 | 2 | 2025 |
| 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 |
| Towards artificial priority queues for similarity query execution M Antol, V Dohnal 2018 IEEE 34th International Conference on Data Engineering Workshops (ICDEW …, 2018 | 2 | 2018 |
| 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 |
| Using Polycaprolactone Nanofibers for the Proof‐of‐Concept Construction of the Alveolar‐Capillary Interface M Capandova, V Sedlakova, Z Vorac, H Kotasova, J Dumkova, L Moran, ... Journal of Biomedical Materials Research Part A 113 (1), e37824, 2025 | | 2025 |
| EOSC CZ: Towards the development of Czech national ecosystem for FAIR research data M Antol, J Marek, M Capandova, J Juracek, L Matyska arXiv preprint arXiv:2402.13343, 2024 | | 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 |
Vlastislav DohnalMasaryk University, Faculty of InformaticsE-mailová adresa ověřena na: fi.muni.cz
