A Genetic Algorithm for the selection of structural MRI features for classification of Mild Cognitive Impairment and Alzheimer's Disease

scholarly article published November 2015

A New Linear Initialization in SOM for Biomolecular Data

A customizable multi-agent system for distributed data mining

Agreement in Epidemic Data Aggregation

Agreement in Epidemic Information Dissemination

An LDA and probability-based classifier for the diagnosis of Alzheimer's Disease from structural MRI

scholarly article published November 2015

Big Social Data and Political Sentiment: The Tweet Stream during the UK General Election 2015 Campaign

BodyCloud: A SaaS approach for community Body Sensor Networks

BodyCloud: Integration of Cloud Computing and body sensor networks

scholarly article published December 2012

Cloud-assisted body area networks: state-of-the-art and future challenges

Clustering Quality and Topology Preservation in Fast Learning SOMs

Connectivity Recovery in Epidemic Membership Protocols

Convergence Detection in Epidemic Aggregation

Cyber-physical systems, internet of things and big data

Data Mining for Monitoring and Managing Systems and Networks

Decentralized load balancing for highly irregular search problems

Discriminative pattern mining in software fault detection

Dynamic Load Balancing in Parallel KD-Tree k-Means

Dynamic group communication for large-scale parallel data mining

Efficient Group Communication for Large-Scale Parallel Clustering

article by David Pettinger & Giuseppe Di Fatta published 2013 in Studies in Computational Intelligence

Efficient Parallel K-Means on MapReduce Using Triangle Inequality

Engineering Large-Scale Body Area Networks Applications

Engineering future interoperable and open IoT systems

Epidemic Fault Tolerance for Extreme-Scale Parallel Computing

Epidemic K-Means Clustering

Expander Graph Quality Optimisation in Randomised Communication

scholarly article published December 2014

Expansion Quality of Epidemic Protocols

Fast Retrieval of Weather Analogues in a Multi-petabytes Archive Using Wavelet-Based Fingerprints

Fast Training of Self Organizing Maps for the Visual Exploration of Molecular Compounds

article published in 2007

Fault tolerant decentralised -Means clustering for asynchronous large-scale networks

High Performance Networks

Interference and Communications among Active Network Applications

K-Surfer: A KNIME Extension for the Management and Analysis of Human Brain MRI FreeSurfer/FSL Data

Non-Euclidean Internet Coordinates Embedding

Non-uniform data distribution for communication-efficient parallel clustering

Optimisation Techniques for Parallel K-Means on MapReduce

Performance and Prediction: Bayesian Modelling of Fallible Choice in Chess

Robust and efficient membership management in large-scale dynamic networks

Scalability of efficient parallel K-Means

Scalable and Fault Tolerant Failure Detection and Consensus

Simplex basis function based sparse least squares support vector regression

article by Xia Hong et al published November 2018 in Neurocomputing

Simulated annealing technique for fast learning of SOM networks

Skill rating by Bayesian inference

Skilloscopy: Bayesian Modeling of Decision Makers' Skill

Space Partitioning for Scalable K-Means

Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: the CADDementia challenge

scientific article published on 31 January 2015

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

scientific article published on 13 May 2014