Improved MapReduce and Streaming Algorithms for k-Center Clustering (with Outliers) M Ceccarello, A Pietracaprina, G Pucci arXiv preprint arXiv:1802.09205, 2018 | 77* | 2018 |
Clustering uncertain graphs M Ceccarello, C Fantozzi, A Pietracaprina, G Pucci, F Vandin Proceedings of the VLDB Endowment 11 (4), 472-484, 2017 | 60 | 2017 |
Mapreduce and streaming algorithms for diversity maximization in metric spaces of bounded doubling dimension M Ceccarello, A Pietracaprina, G Pucci, E Upfal arXiv preprint arXiv:1605.05590, 2016 | 35 | 2016 |
Fast coreset-based diversity maximization under matroid constraints M Ceccarello, A Pietracaprina, G Pucci Proceedings of the Eleventh ACM International Conference on Web Search and …, 2018 | 26 | 2018 |
Space and time efficient parallel graph decomposition, clustering, and diameter approximation M Ceccarello, A Pietracaprina, G Pucci, E Upfal Proceedings of the 27th ACM symposium on Parallelism in Algorithms and …, 2015 | 21 | 2015 |
FRESH: Fréchet similarity with hashing M Ceccarello, A Driemel, F Silvestri Algorithms and Data Structures: 16th International Symposium, WADS 2019 …, 2019 | 20 | 2019 |
A practical parallel algorithm for diameter approximation of massive weighted graphs M Ceccarello, A Pietracaprina, G Pucci, E Upfal 2016 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2016 | 18 | 2016 |
The role of local dimensionality measures in benchmarking nearest neighbor search M Aumüller, M Ceccarello Information Systems 101, 101807, 2021 | 16 | 2021 |
Automated generation of model classes for java pathfinder M Ceccarello, O Tkachuk ACM SIGSOFT Software Engineering Notes 39 (1), 1-5, 2014 | 14 | 2014 |
The role of local intrinsic dimensionality in benchmarking nearest neighbor search M Aumüller, M Ceccarello Similarity Search and Applications: 12th International Conference, SISAP …, 2019 | 13 | 2019 |
Recent Approaches and Trends in Approximate Nearest Neighbor Search, with Remarks on Benchmarking. M Aumüller, M Ceccarello IEEE Data Eng. Bull. 46 (3), 89-105, 2023 | 11 | 2023 |
A general coreset-based approach to diversity maximization under matroid constraints M Ceccarello, A Pietracaprina, G Pucci ACM Transactions on Knowledge Discovery from Data (TKDD) 14 (5), 1-27, 2020 | 11 | 2020 |
Experimental evaluation of multi-round matrix multiplication on mapreduce M Ceccarello, F Silvestri 2015 Proceedings of the Seventeenth Workshop on Algorithm Engineering and …, 2014 | 8 | 2014 |
Benchmarking nearest neighbor search: influence of local intrinsic dimensionality and result diversity in real-world datasets M Aumüller, M Ceccarello EDML 2019-Evaluation and Experimental Design in Data Mining and Machine Learning, 2019 | 7 | 2019 |
What’s New in Temporal Databases? J Gamper, M Ceccarello, A Dignös European Conference on Advances in Databases and Information Systems, 45-58, 2022 | 6 | 2022 |
Implementing distributed similarity joins using locality sensitive hashing M Aumüller, M Ceccarello Proceedings of the 25th International Conference on Extending Technology …, 2022 | 6 | 2022 |
Fast and Scalable Mining of Time Series Motifs with Probabilistic Guarantees M Ceccarello, J Gamper Proceedings of the VLDB Endowment 15 (13), 3841-3853, 2022 | 5 | 2022 |
Distributed graph diameter approximation M Ceccarello, A Pietracaprina, G Pucci, E Upfal Algorithms 13 (9), 216, 2020 | 5 | 2020 |
Running experiments with confidence and sanity M Aumüller, M Ceccarello Similarity Search and Applications: 13th International Conference, SISAP …, 2020 | 5 | 2020 |
Tools to generate and check consistency of model classes for Java PathFinder M Ceccarello, N Shafiei ACM SIGSOFT Software Engineering Notes 37 (6), 1-5, 2012 | 5 | 2012 |