Matteo Ceccarello

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 32

Top Topics

Dimensional Data

Recent Approaches

Nearest Neighbor Search

Top Venues

Proc. VLDB Endow.

Publications

Matteo Ceccarello, Andrea Pietracaprina, Geppino Pucci
Fast and Accurate Fair k-Center Clustering in Doubling Metrics. WWW (2024)
Adam Charane, Matteo Ceccarello, Johann Gamper
Shapelets Evaluation using Silhouettes for Time Series Classification. DOLAP (2024)
Adam Charane, Matteo Ceccarello, Johann Gamper
Comparison of Measures for Characterizing the Difficulty of Time Series Classification. DaWaK (2024)
Paolo Sylos Labini, Andrej Jurco, Matteo Ceccarello, Stefano Guarino, Enrico Mastrostefano, Flavio Vella
Scaling Expected Force: Efficient Identification of Key Nodes in Network-Based Epidemic Models. PDP (2024)
Paolo Sylos Labini, Andrej Jurco, Matteo Ceccarello, Stefano Guarino, Enrico Mastrostefano, Flavio Vella
Scaling Expected Force: Efficient Identification of Key Nodes in Network-based Epidemic Models. CoRR (2023)
Martin Aumüller, Matteo Ceccarello
Recent Approaches and Trends in Approximate Nearest Neighbor Search, with Remarks on Benchmarking. IEEE Data Eng. Bull. 46 (3) (2023)
Matteo Ceccarello, Andrea Pietracaprina, Geppino Pucci, Federico Soldà
Scalable and space-efficient Robust Matroid Center algorithms. J. Big Data 10 (1) (2023)
Martin Aumüller, Matteo Ceccarello
Solving k-Closest Pairs in High-Dimensional Data. SISAP (2023)
Matteo Ceccarello, Anton Dignös, Johann Gamper, Christina Khnaisser
Indexing Temporal Relations for Range-Duration Queries. SSDBM (2023)
Adam Charane, Matteo Ceccarello, Anton Dignös, Johann Gamper
Efficient Computation of All-Window Length Correlations. DB&IS (2022)
Matteo Ceccarello, Anton Dignös, Johann Gamper, Christina Khnaisser
Indexing Temporal Relations for Range-Duration Queries. CoRR (2022)
Johann Gamper, Matteo Ceccarello, Anton Dignös
What's New in Temporal Databases? ADBIS (2022)
Martin Aumüller, Matteo Ceccarello
Implementing Distributed Similarity Joins using Locality Sensitive Hashing. EDBT (2022)
Matteo Ceccarello, Johann Gamper
Fast and Scalable Mining of Time Series Motifs with Probabilistic Guarantees. Proc. VLDB Endow. 15 (13) (2022)
Martin Aumüller, Matteo Ceccarello
The role of local dimensionality measures in benchmarking nearest neighbor search. Inf. Syst. 101 (2021)
Matteo Ceccarello, Andrea Pietracaprina, Geppino Pucci
A General Coreset-Based Approach to Diversity Maximization under Matroid Constraints. ACM Trans. Knowl. Discov. Data 14 (5) (2020)
Matteo Ceccarello, Andrea Pietracaprina, Geppino Pucci
A General Coreset-Based Approach to Diversity Maximization under Matroid Constraints. CoRR (2020)
Matteo Ceccarello, Andrea Pietracaprina, Geppino Pucci, Eli Upfal
Distributed Graph Diameter Approximation. Algorithms 13 (9) (2020)
Martin Aumüller, Matteo Ceccarello
Running Experiments with Confidence and Sanity. SISAP (2020)
Matteo Ceccarello, Anne Driemel, Francesco Silvestri
FRESH: Fréchet Similarity with Hashing. WADS (2019)
Matteo Ceccarello, Andrea Pietracaprina, Geppino Pucci
Solving k-center Clustering (with Outliers) in MapReduce and Streaming, almost as Accurately as Sequentially. Proc. VLDB Endow. 12 (7) (2019)
Martin Aumüller, Matteo Ceccarello
Benchmarking Nearest Neighbor Search: Influence of Local Intrinsic Dimensionality and Result Diversity in Real-World Datasets. EDML@SDM (2019)
Martin Aumüller, Matteo Ceccarello
The Role of Local Intrinsic Dimensionality in Benchmarking Nearest Neighbor Search. SISAP (2019)
Martin Aumüller, Matteo Ceccarello
The Role of Local Intrinsic Dimensionality in Benchmarking Nearest Neighbor Search. CoRR (2019)
Matteo Ceccarello, Anne Driemel, Francesco Silvestri
FRESH: Fréchet Similarity with Hashing. CoRR (2018)
Matteo Ceccarello, Andrea Pietracaprina, Geppino Pucci
Fast Coreset-based Diversity Maximization under Matroid Constraints. WSDM (2018)
Matteo Ceccarello, Andrea Pietracaprina, Geppino Pucci
Solving k-center Clustering (with Outliers) in MapReduce and Streaming, almost as Accurately as Sequentially. CoRR (2018)
Matteo Ceccarello, Andrea Pietracaprina, Geppino Pucci, Eli Upfal
MapReduce and Streaming Algorithms for Diversity Maximization in Metric Spaces of Bounded Doubling Dimension. Proc. VLDB Endow. 10 (5) (2017)
Matteo Ceccarello, Carlo Fantozzi, Andrea Pietracaprina, Geppino Pucci, Fabio Vandin
Clustering Uncertain Graphs. Proc. VLDB Endow. 11 (4) (2017)
Matteo Ceccarello, Andrea Pietracaprina, Geppino Pucci, Eli Upfal
MapReduce and Streaming Algorithms for Diversity Maximization in Metric Spaces of Bounded Doubling Dimension. CoRR (2016)
Matteo Ceccarello, Carlo Fantozzi, Andrea Pietracaprina, Geppino Pucci, Fabio Vandin
Clustering Uncertain Graphs. CoRR (2016)
Matteo Ceccarello, Andrea Pietracaprina, Geppino Pucci, Eli Upfal
A Practical Parallel Algorithm for Diameter Approximation of Massive Weighted Graphs. IPDPS (2016)
Matteo Ceccarello, Francesco Silvestri
Experimental Evaluation of Multi-Round Matrix Multiplication on MapReduce. ALENEX (2015)
Matteo Ceccarello, Andrea Pietracaprina, Geppino Pucci, Eli Upfal
A Practical Parallel Algorithm for Diameter Approximation of Massive Weighted Graphs. CoRR (2015)
Matteo Ceccarello, Andrea Pietracaprina, Geppino Pucci, Eli Upfal
Space and Time Efficient Parallel Graph Decomposition, Clustering, and Diameter Approximation. SPAA (2015)
Matteo Ceccarello, Oksana Tkachuk
Automated generation of model classes for Java PathFinder. ACM SIGSOFT Softw. Eng. Notes 39 (1) (2014)
Matteo Ceccarello, Andrea Pietracaprina, Geppino Pucci, Eli Upfal
Parallel Graph Decomposition and Diameter Approximation in o(Diameter) Time and Linear Space. CoRR (2014)
Matteo Ceccarello, Francesco Silvestri
Experimental Evaluation of Multi-Round Matrix Multiplication on MapReduce. CoRR (2014)
Matteo Ceccarello, Nastaran Shafiei
Tools to generate and check consistency of model classes for Java PathFinder. ACM SIGSOFT Softw. Eng. Notes 37 (6) (2012)