Claudio Martella

According to our database1, Claudio Martella authored at least 16 papers between 2013 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2021
Towards Analyzing and Predicting the Experience of Live Performances with Wearable Sensing.
IEEE Trans. Affect. Comput., 2021

2017
Visualizing, clustering, and predicting the behavior of museum visitors.
Pervasive Mob. Comput., 2017

Automated Lane Detection in Crowds using Proximity Graphs.
CoRR, 2017

Exploiting Density to Track Human Behavior in Crowded Environments.
IEEE Commun. Mag., 2017

Spinner: Scalable Graph Partitioning in the Cloud.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

An Open-Space Museum as a Testbed for Popularity Monitoring in Real-World Settings.
Proceedings of the 2017 International Conference on Embedded Wireless Systems and Networks, 2017

2016
Leveraging proximity sensing to mine the behavior of museum visitors.
Proceedings of the 2016 IEEE International Conference on Pervasive Computing and Communications, 2016

Powerful and efficient bulk shortest-path queries: cypher language extension & Giraph implementation.
Proceedings of the Fourth International Workshop on Graph Data Management Experiences and Systems, Redwood Shores, CA, USA, June 24, 2016

2015
How Was It?: Exploiting Smartphone Sensing to Measure Implicit Audience Responses to Live Performances.
Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015

2014
Spinner: Scalable Graph Partitioning for the Cloud.
CoRR, 2014

Crowd textures as proximity graphs.
IEEE Commun. Mag., 2014

Benchmarking graph-processing platforms: a vision.
Proceedings of the ACM/SPEC International Conference on Performance Engineering, 2014

From proximity sensing to spatio-temporal social graphs.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications, 2014

How Well Do Graph-Processing Platforms Perform? An Empirical Performance Evaluation and Analysis.
Proceedings of the 2014 IEEE 28th International Parallel and Distributed Processing Symposium, 2014

Adaptive Partitioning for Large-Scale Dynamic Graphs.
Proceedings of the IEEE 34th International Conference on Distributed Computing Systems, 2014

2013
xDGP: A Dynamic Graph Processing System with Adaptive Partitioning.
CoRR, 2013


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