Name
Papers
Collaborators
GIUSEPPE DI FATTA
69
99
Citations 
PageRank 
Referers 
529
39.23
1385
Referees 
References 
1227
733
Search Limit
1001000
Title
Citations
PageRank
Year
20th International Conference on Data Mining Workshops, ICDM Workshops 2020, Sorrento, Italy, November 17-20, 2020.00.342020
The IEEE ICDM 2020 Workshops00.342020
Pareto Multi-task Deep Learning.00.342020
Bi-gradient Verification for Grad-CAM Towards Accurate Visual Explanation for Remote Sensing Images00.342019
An Adaptive Restart Mechanism for Continuous Epidemic Systems.00.342019
A Rule Induction Approach to Forecasting Critical Alarms in a Telecommunication Network00.342019
The Distributed P-Median Problem In Computer Networks00.342019
Understanding Customer Satisfaction With Services by Leveraging Big Data: The Role of Services Attributes and Consumers' Cultural Background.00.342019
Multi-Task Learning By Pareto Optimality00.342019
Simplex basis function based sparse least squares support vector regression.00.342019
Epidemic failure detection and consensus for extreme parallelism40.402018
Developing Agent-Based Smart Objects for IoT Edge Computing: Mobile Crowdsensing Use Case.00.342018
Robust and efficient membership management in large-scale dynamic networks.10.372017
Engineering future interoperable and open IoT systems20.352017
Efficient Parallel K-Means on MapReduce Using Triangle Inequality.00.342017
Cyber-physical systems, internet of things and big data.60.432017
A Method of Rule Induction for Predicting and Describing Future Alarms in a Telecommunication Network.00.342016
Optimisation Techniques for Parallel K-Means on MapReduce00.342015
Scalable and Fault Tolerant Failure Detection and Consensus80.472015
Big Social Data and Political Sentiment: The Tweet Stream during the UK General Election 2015 Campaign10.352015
Towards Expressive Rule Induction on IP Network Event Streams.00.342015
Connectivity Recovery in Epidemic Membership Protocols.20.372015
Epidemic Fault Tolerance for Extreme-Scale Parallel Computing.00.342015
An LDA and probability-based classifier for the diagnosis of Alzheimer's Disease from structural MRI00.342015
A Genetic Algorithm for the selection of structural MRI features for classification of Mild Cognitive Impairment and Alzheimer's Disease10.352015
Data Mining for Monitoring and Managing Systems and Networks10.402014
BodyCloud: A SaaS approach for community Body Sensor Networks.802.582014
The BioDICE Taverna plugin for clustering and visualization of biological data: a workflow for molecular compounds exploration.10.352014
Expander Graph Quality Optimisation in Randomised Communication20.392014
Towards a Parallel Computationally Efficient Approach to Scaling Up Data Stream Classification40.492014
K-Surfer: A KNIME Extension for the Management and Analysis of Human Brain MRI FreeSurfer/FSL Data.20.452014
Expansion Quality of Epidemic Protocols.30.392014
Cloud-assisted body area networks: state-of-the-art and future challenges541.642014
Computationally efficient rule-based classification for continuous streaming data00.342014
Dynamic group communication for large-scale parallel data mining.00.342013
Non-Euclidean Internet Coordinates Embedding10.382013
Skilloscopy: Bayesian Modeling of Decision Makers' Skill.20.402013
Non-uniform data distribution for communication-efficient parallel clustering.20.392013
Engineering large-scale body area networks applications100.642013
Fault tolerant decentralised K-Means clustering for asynchronous large-scale networks280.972013
Simulated annealing technique for fast learning of SOM networks.30.422013
Convergence Detection in Epidemic Aggregation.70.502013
Efficient Group Communication for Large-Scale Parallel Clustering.10.372012
BodyCloud: Integration of Cloud Computing and body sensor networks481.692012
Epidemic K-Means Clustering130.582011
High performance networks00.342010
Dynamic Load Balancing in Parallel KD-Tree k-Means100.562010
Space Partitioning for Scalable K-Means90.532010
KNIME - the Konstanz information miner: version 2.0 and beyond973.792009
Performance and prediction: bayesian modelling of fallible choice in chess70.842009
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