Giuseppe Di Fatta

According to our database1, Giuseppe Di Fatta
  • authored at least 61 papers between 1999 and 2017.
  • has a "Dijkstra number"2 of four.

Timeline

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Bibliography

2017
Engineering future interoperable and open IoT systems.
J. Network and Computer Applications, 2017

On expressiveness and uncertainty awareness in rule-based classification for data streams.
Neurocomputing, 2017

Robust and efficient membership management in large-scale dynamic networks.
Future Generation Comp. Syst., 2017

Cyber-physical systems, internet of things and big data.
Future Generation Comp. Syst., 2017

2016
A Method of Rule Induction for Predicting and Describing Future Alarms in a Telecommunication Network.
Proceedings of the Research and Development in Intelligent Systems XXXIII, 2016

Agreement in Epidemic Information Dissemination.
Proceedings of the Internet and Distributed Computing Systems, 2016

2015
Big Social Data and Political Sentiment: The Tweet Stream during the UK General Election 2015 Campaign.
Proceedings of the 2015 IEEE International Conference on Smart City/SocialCom/SustainCom 2015, 2015

Towards Expressive Rule Induction on IP Network Event Streams.
Proceedings of the Research and Development in Intelligent Systems XXXII, 2015

Scalable and Fault Tolerant Failure Detection and Consensus.
Proceedings of the 22nd European MPI Users' Group Meeting, 2015

Connectivity Recovery in Epidemic Membership Protocols.
Proceedings of the Internet and Distributed Computing Systems, 2015

Epidemic Fault Tolerance for Extreme-Scale Parallel Computing.
Proceedings of the Internet and Distributed Computing Systems, 2015

Optimisation Techniques for Parallel K-Means on MapReduce.
Proceedings of the Internet and Distributed Computing Systems, 2015

An LDA and probability-based classifier for the diagnosis of Alzheimer's Disease from structural MRI.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

A Genetic Algorithm for the selection of structural MRI features for classification of Mild Cognitive Impairment and Alzheimer's Disease.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2014
Cloud-assisted body area networks: state-of-the-art and future challenges.
Wireless Networks, 2014

Data Mining for Monitoring and Managing Systems and Networks.
J. Network Syst. Manage., 2014

The BioDICE Taverna plugin for clustering and visualization of biological data: a workflow for molecular compounds exploration.
J. Cheminformatics, 2014

BodyCloud: A SaaS approach for community Body Sensor Networks.
Future Generation Comp. Syst., 2014

Towards a Parallel Computationally Efficient Approach to Scaling Up Data Stream Classification.
Proceedings of the Research and Development in Intelligent Systems XXXI, 2014

Computationally Efficient Rule-Based Classification for Continuous Streaming Data.
Proceedings of the Research and Development in Intelligent Systems XXXI, 2014

Expansion Quality of Epidemic Protocols.
Proceedings of the Intelligent Distributed Computing VIII, 2014

Expander Graph Quality Optimisation in Randomised Communication.
Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

K-Surfer: A KNIME Extension for the Management and Analysis of Human Brain MRI FreeSurfer/FSL Data.
Proceedings of the Brain Informatics and Health - International Conference, 2014

2013
Skilloscopy: Bayesian Modeling of Decision Makers' Skill.
IEEE Trans. Systems, Man, and Cybernetics: Systems, 2013

Simulated annealing technique for fast learning of SOM networks.
Neural Computing and Applications, 2013

Fault tolerant decentralised K-Means clustering for asynchronous large-scale networks.
J. Parallel Distrib. Comput., 2013

Non-uniform data distribution for communication-efficient parallel clustering.
J. Comput. Science, 2013

Dynamic group communication for large-scale parallel data mining.
Concurrent Engineering: R&A, 2013

Non-Euclidean Internet Coordinates Embedding.
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

Convergence Detection in Epidemic Aggregation.
Proceedings of the Euro-Par 2013: Parallel Processing Workshops, 2013

Engineering Large-Scale Body Area Networks Applications.
Proceedings of the 8th International Conference on Body Area Networks, 2013

2012
Efficient Group Communication for Large-Scale Parallel Clustering.
Proceedings of the Intelligent Distributed Computing VI - Proceedings of the 6th International Symposium on Intelligent Distributed Computing, 2012

BodyCloud: Integration of Cloud Computing and body sensor networks.
Proceedings of the 4th IEEE International Conference on Cloud Computing Technology and Science Proceedings, 2012

2011
Epidemic K-Means Clustering.
Proceedings of the Data Mining Workshops (ICDMW), 2011

2010
Space Partitioning for Scalable K-Means.
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

High Performance Networks.
Proceedings of the Euro-Par 2010 - Parallel Processing, 16th International Euro-Par Conference, Ischia, Italy, August 31, 2010

Dynamic Load Balancing in Parallel KD-Tree k-Means.
Proceedings of the 10th IEEE International Conference on Computer and Information Technology, 2010

2009
Skill rating by Bayesian inference.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2009

Performance and Prediction: Bayesian Modelling of Fallible Choice in Chess.
Proceedings of the Advances in Computer Games, 12th International Conference, 2009

2008
Clustering Quality and Topology Preservation in Fast Learning SOMs.
Proceedings of the Artificial Neural Networks, 2008

A New Linear Initialization in SOM for Biomolecular Data.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2008

2007
Decentralized load balancing for highly irregular search problems.
Microprocessors and Microsystems, 2007

A customizable multi-agent system for distributed data mining.
Proceedings of the 2007 ACM Symposium on Applied Computing (SAC), 2007

Fast Training of Self Organizing Maps for the Visual Exploration of Molecular Compounds.
Proceedings of the International Joint Conference on Neural Networks, 2007

Soft Topographic Map for Clustering and Classification of Bacteria.
Proceedings of the Advances in Intelligent Data Analysis VII, 2007

Improved SOM Learning Using Simulated Annealing.
Proceedings of the Artificial Neural Networks, 2007

2006
Dynamic Load Balancing for the Distributed Mining of Molecular Structures.
IEEE Trans. Parallel Distrib. Syst., 2006

Discriminative pattern mining in software fault detection.
Proceedings of the Third International Workshop on Software Quality Assurance, 2006

Decentralized Load Balancing for Highly Irregular Search Problems.
Proceedings of the 11th IEEE Symposium on Computers and Communications (ISCC 2006), 2006

Context-Aware Visual Exploration of Molecular Datab.
Proceedings of the Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

A Customizable Multi-Agent System for Distributed Data Mining.
Proceedings of the 4th European Workshop on Multi-Agent Systems EUMAS'06, 2006

2005
Efficient Mining of Discriminative Molecular Fragments.
Proceedings of the International Conference on Parallel and Distributed Computing Systems, 2005

High Performance Subgraph Mining in Molecular Compounds.
Proceedings of the High Performance Computing and Communications, 2005

2003
A genetic algorithm for the design of a fuzzy controller for active queue management.
IEEE Trans. Systems, Man, and Cybernetics, Part C, 2003

Parallel Genetic Algorithms for the Tuning of a Fuzzy AQM Controller.
Proceedings of the Computational Science and Its Applications, 2003

Distributed Intelligent Management of Active Networks.
Proceedings of the AI*IA 2003: Advances in Artificial Intelligence, 2003

2002
A Management Architecture for Active Networks.
Proceedings of the 4th Annual International Workshop on Active Middleware Services (AMS 2002), 2002

A Fuzzy Approach for the Network Congestion Problem.
Proceedings of the Computational Science - ICCS 2002, 2002

2001
Learning to reason about data: The spring school on intelligent data analysis.
Intell. Data Anal., 2001

2000
A Reconfigurable Neural Environment on Active Networks.
IJCNN (6), 2000

1999
Interference and Communications among Active Network Applications.
Proceedings of the Active Networks, First International Working Conference, 1999


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