| 2025 | DaWaK | On the Costs and Benefits of Learned Indexing for Dynamic High-Dimensional Data. | Terzia Slaninkov, Jaroslav Olha, David Prochzka, Matej Antol, Vlastislav Dohnal |
| 2024 | SISAP | Scaling Learned Metric Index to 100M Datasets. | David Prochzka, Terzia Slaninkov, Jozef Cernansk, Jaroslav Olha, Matej Antol, Vlastislav Dohnal |
| 2023 | CaiSE | A Case Study on the Impact of Forensic-Ready Information Systems on the Security Posture. | Lukas Daubner, Raimundas Matulevicius, Barbora Buhnova, Matej Antol, Michal Ruzicka, Toms Pitner |
| 2023 | SISAP | SISAP 2023 Indexing Challenge - Learned Metric Index. | Terzia Slaninkov, David Prochzka, Matej Antol, Jaroslav Olha, Vlastislav Dohnal |
| 2022 | SISAP | Learned Indexing in Proteins: Substituting Complex Distance Calculations with Embedding and Clustering Techniques. | Jaroslav Olha, Terzia Slaninkov, Martin Gendiar, Matej Antol, Vlastislav Dohnal |
| 2021 | SISAP | Data-Driven Learned Metric Index: An Unsupervised Approach. | Terzia Slaninkov, Matej Antol, Jaroslav Olha, Vojtech Kana, Vlastislav Dohnal |
| 2019 | ADBIS | BM-index: Balanced Metric Space Index Based on Weighted Voronoi Partitioning. | Matej Antol, Vlastislav Dohnal |
| 2018 | ICDE | Towards Artificial Priority Queues for Similarity Query Execution. | Matej Antol, Vlastislav Dohnal |
| 2016 | ADBIS | Optimizing Query Performance with Inverted Cache in Metric Spaces. | Matej Antol, Vlastislav Dohnal |