Silvia Giannini

Affiliations:
  • Politecnico di Bari, Dipartimento di Ingegneria Elettrica e dell'Informazione, Italy


According to our database1, Silvia Giannini authored at least 13 papers between 2011 and 2017.

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

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Online presence:

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Bibliography

2017
Embedding semantics in human resources management automation via SQL.
Appl. Intell., 2017

2016
Defining and computing Least Common Subsumers in RDF.
J. Web Semant., 2016

Asynchronous Max-Consensus Protocol With Time Delays: Convergence Results and Applications.
IEEE Trans. Circuits Syst. I Regul. Pap., 2016

2015
A Logic-Based Approach to Named-Entity Disambiguation in the Web of Data.
Proceedings of the AI*IA 2015, Advances in Artificial Intelligence, 2015

2014
A deductive approach to the identification and description of clusters in Linked Open Data.
Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014

Finding Commonalities in Linked Open Data.
Proceedings of the 29th Italian Conference on Computational Logic, 2014

2013
On the convergence of the max-consensus protocol with asynchronous updates.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Asynchronous consensus-based distributed target tracking.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

RDF Data Clustering.
Proceedings of the Business Information Systems Workshops, 2013

Knowledge Compilation for Core Competence Extraction in Organizations.
Proceedings of the Business Information Systems - 16th International Conference, 2013

2012
Large Scale Skill Matching through Knowledge Compilation.
Proceedings of the Foundations of Intelligent Systems - 20th International Symposium, 2012

Coverage-aware distributed target tracking for mobile sensor networks.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

2011
3D Virtual Colonoscopy for Polyps Detection by Supervised Artificial Neural Networks.
Proceedings of the Bio-Inspired Computing and Applications, 2011


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