2 citations · 9 across the 10 of their papers we have counts for
14 papers
Evaluating and Generating Query Workloads for High Dimensional Vector Similarity Search
Matteo Ceccarello, Alexandra Levchenko, Ioana Ileana +1
Similarity search lies at the heart of many modern applications, ranging from databases to deep learning to data series analysis. As such, a vast effort has been invested in develo…
VIBE: Vector Index Benchmark for Embeddings
Elias Jääsaari, Ville Hyvönen, Matteo Ceccarello +2
Approximate nearest neighbor (ANN) search is a performance-critical component of many machine learning pipelines, and rigorous benchmarking is essential for assessing the performan…
Fair Center Clustering in Sliding Windows
Matteo Ceccarello, Andrea Pietracaprina, Geppino Pucci +1
The -center problem requires the selection of points (centers) from a given metric pointset so to minimize the maximum distance of any point of from the closest cent…
Scaling Expected Force: Efficient Identification of Key Nodes in Network-based Epidemic Models
Paolo Sylos Labini, Andrej Jurco, Matteo Ceccarello +3
Centrality measures are fundamental tools of network analysis as they highlight the key actors within the network. This study focuses on a newly proposed centrality measure, Expect…
Indexing Temporal Relations for Range-Duration Queries
Matteo Ceccarello, Anton Dignös, Johann Gamper +1
Temporal information plays a crucial role in many database applications, however support for queries on such data is limited. We present an index structure, termed RD-index, to sup…
A General Coreset-Based Approach to Diversity Maximization under Matroid Constraints
Matteo Ceccarello, Andrea Pietracaprina, Geppino Pucci
Diversity maximization is a fundamental problem in web search and data mining. For a given dataset of elements, the problem requires to determine a subset of containing…