Alessandro Lulli

Publication Activity (10 Years)

Years Active: 2014-2020
Publications (10 Years): 26

Top Topics

Top Venues

Euro-Par Workshops

Int. J. Data Sci. Anal.

Publications

Luca Oneto, Irene Buselli, Alessandro Lulli, Renzo Canepa, Simone Petralli, Davide Anguita
A dynamic, interpretable, and robust hybrid data analytics system for train movements in large-scale railway networks. Int. J. Data Sci. Anal. 9 (1) (2020)
Alessandro Lulli, Luca Oneto, Davide Anguita
Mining Big Data with Random Forests. Cogn. Comput. 11 (2) (2019)
Luca Oneto, Irene Buselli, Alessandro Lulli, Renzo Canepa, Simone Petralli, Davide Anguita
Train Overtaking Prediction in Railway Networks: A Big Data Perspective. INNSBDDL (2019)
Emanuele Carlini, Alessandro Lulli
Analysis of Movement Features in Multiplayer Online Battle Arenas. J. Grid Comput. 17 (1) (2019)
Emanuele Carlini, Alessandro Lulli, Laura Ricci
Model driven generation of mobility traces for distributed virtual environments with TRACE. Concurr. Comput. Pract. Exp. 30 (20) (2018)
Alessandro Lulli, Luca Oneto, Renzo Canepa, Simone Petralli, Davide Anguita
Large-Scale Railway Networks Train Movements: A Dynamic, Interpretable, and Robust Hybrid Data Analytics System. DSAA (2018)
Alessandro Lulli, Luca Oneto, Davide Anguita
ReForeSt: Random Forests in Apache Spark. ICANN (2) (2017)
Alessandro Lulli, Luca Oneto, Davide Anguita
Crack random forest for arbitrary large datasets. IEEE BigData (2017)
Hanna Kavalionak, Emanuele Carlini, Alessandro Lulli, Claudio Gennaro, Giuseppe Amato, Carlo Meghini, Laura Ricci
A prediction-based distributed tracking protocol for video surveillance. ICNSC (2017)
Emanuele Carlini, Alessandro Lulli
A Spatial Analysis of Multiplayer Online Battle Arena Mobility Traces. Euro-Par Workshops (2017)
Alessandro Lulli, Lorenzo Gabrielli, Patrizio Dazzi, Matteo Dell'Amico, Pietro Michiardi, Mirco Nanni, Laura Ricci
Scalable and flexible clustering solutions for mobile phone-based population indicators. Int. J. Data Sci. Anal. 4 (4) (2017)
Alessandro Lulli, Emanuele Carlini, Patrizio Dazzi, Claudio Lucchese, Laura Ricci
Fast Connected Components Computation in Large Graphs by Vertex Pruning. IEEE Trans. Parallel Distributed Syst. 28 (3) (2017)
Patrizio Dazzi, Emanuele Carlini, Alessandro Lulli, Laura Ricci
TELOS: An Approach for Distributed Graph Processing Based on Overlay Composition. Scalable Comput. Pract. Exp. 18 (1) (2017)
Emanuele Carlini, Patrizio Dazzi, Alessandro Lulli, Laura Ricci
Distributed graph processing: an approach based on overlay composition. SAC (2016)
Emanuele Carlini, Alessandro Lulli, Laura Ricci
dragon: Multidimensional range queries on distributed aggregation trees. Future Gener. Comput. Syst. 55 (2016)
Massimiliano Bertolucci, Alessandro Lulli, Laura Ricci
Current Flow Betweenness Centrality with Apache Spark. ICA3PP (2016)
Alessandro Lulli, Lorenzo Gabrielli, Patrizio Dazzi, Matteo Dell'Amico, Pietro Michiardi, Mirco Nanni, Laura Ricci
Improving population estimation from mobile calls: A clustering approach. ISCC (2016)
Alessandro Lulli, Matteo Dell'Amico, Pietro Michiardi, Laura Ricci
NG-DBSCAN: Scalable Density-Based Clustering for Arbitrary Data. Proc. VLDB Endow. 10 (3) (2016)
Emanuele Carlini, Alessandro Lulli, Laura Ricci
TRACE: Generating Traces from Mobility Models for Distributed Virtual Environments. Euro-Par Workshops (2016)
Massimiliano Bertolucci, Emanuele Carlini, Patrizio Dazzi, Alessandro Lulli, Laura Ricci
Static and Dynamic Big Data Partitioning on Apache Spark. PARCO (2015)
Alessandro Lulli, Laura Ricci, Emanuele Carlini, Patrizio Dazzi
Distributed Current Flow Betweenness Centrality. SASO (2015)
Alessandro Lulli, Laura Ricci, Emanuele Carlini, Patrizio Dazzi, Claudio Lucchese
Cracker: Crumbling large graphs into connected components. ISCC (2015)
Emanuele Carlini, Patrizio Dazzi, Alessandro Lulli, Laura Ricci
Layered Thinking in Vertex Centric Computations. ERCIM News 2015 (102) (2015)
Emanuele Carlini, Patrizio Dazzi, Matteo Mordacchini, Alessandro Lulli, Laura Ricci
Community Discovery for Interest Management in DVEs: A Case Study. Euro-Par Workshops (2015)
Alessandro Lulli, Patrizio Dazzi, Laura Ricci, Emanuele Carlini
A Multi-layer Framework for Graph Processing via Overlay Composition. Euro-Par Workshops (2015)
Alessandro Lulli, Thibault Debatty, Matteo Dell'Amico, Pietro Michiardi, Laura Ricci
Scalable k-NN based text clustering. IEEE BigData (2015)
Emanuele Carlini, Patrizio Dazzi, Andrea Esposito, Alessandro Lulli, Laura Ricci
Balanced Graph Partitioning with Apache Spark. Euro-Par Workshops (1) (2014)