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ORCIDMatteo Ceccarello
Person information
- affiliation: IT University of Copenhagen, Denmark
- affiliation (former): University of Padua, Italy
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2020 – today
- 2024
[c14]Adam Charane, Matteo Ceccarello, Johann Gamper:
Shapelets Evaluation using Silhouettes for Time Series Classification. DOLAP 2024: 36-44- 2023
- [j10]Matteo Ceccarello, Andrea Pietracaprina, Geppino Pucci
, Federico Soldà:
Scalable and space-efficient Robust Matroid Center algorithms. J. Big Data 10(1): 49 (2023) - [c13]Martin Aumüller, Matteo Ceccarello:
Solving k-Closest Pairs in High-Dimensional Data. SISAP 2023: 200-214 - [c12]Matteo Ceccarello, Anton Dignös, Johann Gamper, Christina Khnaisser:
Indexing Temporal Relations for Range-Duration Queries. SSDBM 2023: 3:1-3:12 - [i11]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 abs/2306.00606 (2023) - 2022
- [j9]Matteo Ceccarello, Johann Gamper:
Fast and Scalable Mining of Time Series Motifs with Probabilistic Guarantees. Proc. VLDB Endow. 15(13): 3841-3853 (2022) - [c11]Johann Gamper, Matteo Ceccarello, Anton Dignös:
What's New in Temporal Databases? ADBIS 2022: 45-58 - [c10]Adam Charane, Matteo Ceccarello, Anton Dignös, Johann Gamper:
Efficient Computation of All-Window Length Correlations. DB&IS 2022: 251-266 - [c9]Martin Aumüller, Matteo Ceccarello:
Implementing Distributed Similarity Joins using Locality Sensitive Hashing. EDBT 2022: 1:78-1:90 - [i10]Matteo Ceccarello, Anton Dignös, Johann Gamper, Christina Khnaisser:
Indexing Temporal Relations for Range-Duration Queries. CoRR abs/2206.07428 (2022) - 2021
- [j8]Martin Aumüller, Matteo Ceccarello:
The role of local dimensionality measures in benchmarking nearest neighbor search. Inf. Syst. 101: 101807 (2021) - 2020
- [j7]Matteo Ceccarello, Andrea Pietracaprina, Geppino Pucci, Eli Upfal:
Distributed Graph Diameter Approximation. Algorithms 13(9): 216 (2020) - [j6]Matteo Ceccarello, Andrea Pietracaprina, Geppino Pucci:
A General Coreset-Based Approach to Diversity Maximization under Matroid Constraints. ACM Trans. Knowl. Discov. Data 14(5): 60:1-60:27 (2020) - [c8]Martin Aumüller, Matteo Ceccarello:
Running Experiments with Confidence and Sanity. SISAP 2020: 387-395 - [i9]Matteo Ceccarello, Andrea Pietracaprina, Geppino Pucci:
A General Coreset-Based Approach to Diversity Maximization under Matroid Constraints. CoRR abs/2002.03175 (2020)
2010 – 2019
- 2019
- [j5]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): 766-778 (2019) - [c7]Martin Aumüller, Matteo Ceccarello:
Benchmarking Nearest Neighbor Search: Influence of Local Intrinsic Dimensionality and Result Diversity in Real-World Datasets. EDML@SDM 2019: 14-23 - [c6]Martin Aumüller, Matteo Ceccarello:
The Role of Local Intrinsic Dimensionality in Benchmarking Nearest Neighbor Search. SISAP 2019: 113-127 - [c5]Matteo Ceccarello, Anne Driemel, Francesco Silvestri:
FRESH: Fréchet Similarity with Hashing. WADS 2019: 254-268 - [i8]Martin Aumüller, Matteo Ceccarello:
The Role of Local Intrinsic Dimensionality in Benchmarking Nearest Neighbor Search. CoRR abs/1907.07387 (2019) - 2018
- [c4]Matteo Ceccarello, Andrea Pietracaprina, Geppino Pucci:
Fast Coreset-based Diversity Maximization under Matroid Constraints. WSDM 2018: 81-89 - [i7]Matteo Ceccarello, Andrea Pietracaprina, Geppino Pucci:
Solving k-center Clustering (with Outliers) in MapReduce and Streaming, almost as Accurately as Sequentially. CoRR abs/1802.09205 (2018) - [i6]Matteo Ceccarello, Anne Driemel, Francesco Silvestri:
FRESH: Fréchet Similarity with Hashing. CoRR abs/1809.02350 (2018) - 2017
- [j4]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): 469-480 (2017) - [j3]Matteo Ceccarello, Carlo Fantozzi, Andrea Pietracaprina, Geppino Pucci, Fabio Vandin:
Clustering Uncertain Graphs. Proc. VLDB Endow. 11(4): 472-484 (2017) - 2016
- [c3]Matteo Ceccarello, Andrea Pietracaprina, Geppino Pucci, Eli Upfal:
A Practical Parallel Algorithm for Diameter Approximation of Massive Weighted Graphs. IPDPS 2016: 12-21 - [i5]Matteo Ceccarello, Andrea Pietracaprina, Geppino Pucci, Eli Upfal:
MapReduce and Streaming Algorithms for Diversity Maximization in Metric Spaces of Bounded Doubling Dimension. CoRR abs/1605.05590 (2016) - [i4]Matteo Ceccarello, Carlo Fantozzi, Andrea Pietracaprina, Geppino Pucci, Fabio Vandin:
Clustering Uncertain Graphs. CoRR abs/1612.06675 (2016) - 2015
- [c2]Matteo Ceccarello, Francesco Silvestri:
Experimental Evaluation of Multi-Round Matrix Multiplication on MapReduce. ALENEX 2015: 119-132 - [c1]Matteo Ceccarello, Andrea Pietracaprina, Geppino Pucci, Eli Upfal:
Space and Time Efficient Parallel Graph Decomposition, Clustering, and Diameter Approximation. SPAA 2015: 182-191 - [i3]Matteo Ceccarello, Andrea Pietracaprina, Geppino Pucci, Eli Upfal:
A Practical Parallel Algorithm for Diameter Approximation of Massive Weighted Graphs. CoRR abs/1506.03265 (2015) - 2014
- [j2]Matteo Ceccarello, Oksana Tkachuk:
Automated generation of model classes for Java PathFinder. ACM SIGSOFT Softw. Eng. Notes 39(1): 1-5 (2014) - [i2]Matteo Ceccarello, Andrea Pietracaprina, Geppino Pucci, Eli Upfal:
Parallel Graph Decomposition and Diameter Approximation in o(Diameter) Time and Linear Space. CoRR abs/1407.3144 (2014) - [i1]Matteo Ceccarello, Francesco Silvestri:
Experimental Evaluation of Multi-Round Matrix Multiplication on MapReduce. CoRR abs/1408.2858 (2014) - 2012
- [j1]Matteo Ceccarello, Nastaran Shafiei:
Tools to generate and check consistency of model classes for Java PathFinder. ACM SIGSOFT Softw. Eng. Notes 37(6): 1-5 (2012)
Coauthor Index
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