Optimizing Query Performance with Inverted Cache in Metric Spaces. - Matej Antol; Vlastislav Dohnal (ADBIS, 2016)

Popularity-Based Ranking for Fast Approximate kNN Search. - Matej Antol; Vlastislav Dohnal (Informatica, 2017)

Towards Artificial Priority Queues for Similarity Query Execution. - Matej Antol; Vlastislav Dohnal (ICDE Workshops, 2018)

BM-index: Balanced Metric Space Index Based on Weighted Voronoi Partitioning. - Matej Antol; Vlastislav Dohnal (ADBIS, 2019)

Data-Driven Learned Metric Index: An Unsupervised Approach. - Terézia Slanináková; Matej Antol; Jaroslav Olha; Vojtech Kana; Vlastislav Dohnal (SISAP, 2021)

Learned Metric Index - Proposition of learned indexing for unstructured data. - Matej Antol; Jaroslav Olha; Terézia Slanináková; Vlastislav Dohnal (Inf. Syst., 2021)

Metric hull as similarity-aware operator for representing unstructured data. - Matej Antol; Miriama Jánosová; Vlastislav Dohnal (Pattern Recognit. Lett., 2021)

Learned Indexing in Proteins: Substituting Complex Distance Calculations with Embedding and Clustering Techniques. - Jaroslav Olha; Terézia Slanináková; Martin Gendiar; Matej Antol; Vlastislav Dohnal (SISAP, 2022)

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; Tomás Pitner (CAiSE, 2023)

SISAP 2023 Indexing Challenge - Learned Metric Index. - Terézia Slanináková; David Procházka; Matej Antol; Jaroslav Olha; Vlastislav Dohnal (SISAP, 2023)

Reproducible experiments with Learned Metric Index Framework. - Terézia Slanináková; Matej Antol; Jaroslav Olha; Vlastislav Dohnal; Susana Ladra; Miguel A. Martínez-Prieto (Inf. Syst., 2023)

Scaling Learned Metric Index to 100M Datasets. - David Procházka; Terézia Slanináková; Jozef Cernanský; Jaroslav Olha; Matej Antol; Vlastislav Dohnal (SISAP, 2024)

EOSC CZ: Towards the development of Czech national ecosystem for FAIR research data. - Matej Antol; Jiri Marek; Michaela Capandova; Jaroslav Juracek; Ludek Matyska (CoRR, 2024)

On the Costs and Benefits of Learned Indexing for Dynamic High-Dimensional Data. - Terézia Slanináková; Jaroslav Olha; David Procházka; Matej Antol; Vlastislav Dohnal (DaWaK, 2025)

Estimating resource budgets to ensure autotuning efficiency. - Jaroslav Olha; Jana Hozzová; Matej Antol; Jiri Filipovic (Parallel Comput., 2025)

On the Costs and Benefits of Learned Indexing for Dynamic High-Dimensional Data: Extended Version. - Terézia Slanináková; Jaroslav Olha; David Procházka; Matej Antol; Vlastislav Dohnal (CoRR, 2025)