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Jan 23, 2018
Neural and Evolutionary Computation
Machine Learning

Pruning Techniques for Mixed Ensembles of Genetic Programming Models

The objective of this paper is to define an effective strategy for building an ensemble of Genetic Programming (GP) models. Ensemble methods are wide…
Nov 21, 2018
Physics and Society

Consensus and Polarization in Competing Complex Contagion Processes

In many situations, the rate of adoption of new information depends on reinforcement from multiple sources in a way that cannot be described by simpl…
Jan 30, 2020
Neural and Evolutionary Computation
Machine Learning

A Study of Fitness Landscapes for Neuroevolution

Fitness landscapes are a useful concept to study the dynamics of meta-heuristics. In the last two decades, they have been applied with success to est…
Jul 07, 2020
Artificial Intelligence

TripMD: Driving patterns investigation via Motif Analysis

Processing driving data and investigating driving behavior has been receiving an increasing interest in the last decades, with applications ranging f…
Feb 11, 2020
Machine Learning
Applications

Finding manoeuvre motifs in vehicle telematics

Driving behaviour has a great impact on road safety. A popular way of analysing driving behaviour is to move the focus to the manoeuvres as they give…
Apr 27, 2017
Machine Learning
Artificial Intelligence

A quantitative assessment of the effect of different algorithmic sche…

One of the most challenging tasks when adopting Bayesian Networks (BNs) is the one of learning their structure from data. This task is complicated by…
Mar 09, 2017
Machine Learning
Artificial Intelligence

Combining Bayesian Approaches and Evolutionary Techniques for the I…

Gene and protein networks are very important to model complex large-scale systems in molecular biology. Inferring or reverseengineering such networks…
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