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03/05/2023
Neuroevolutionary algorithms driven by neuron coverage metrics for semi-supervised classification
In some machine learning applications the availability of labeled instan...
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06/01/2022
Neural Improvement Heuristics for Preference Ranking
In recent years, Deep Learning based methods have been a revolution in t...
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05/25/2022
Towards a Fair Comparison and Realistic Design and Evaluation Framework of Android Malware Detectors
As in other cybersecurity areas, machine learning (ML) techniques have e...
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05/03/2022
Neural Combinatorial Optimization: a New Player in the Field
Neural Combinatorial Optimization attempts to learn good heuristics for ...
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06/16/2021
Redefining Neural Architecture Search of Heterogeneous Multi-Network Models by Characterizing Variation Operators and Model Components
With neural architecture search methods gaining ground on manually desig...
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05/26/2021
On the Exploitation of Neuroevolutionary Information: Analyzing the Past for a More Efficient Future
Neuroevolutionary algorithms, automatic searches of neural network struc...
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01/27/2020
Survey of Network Intrusion Detection Methods from the Perspective of the Knowledge Discovery in Databases Process
The identification of cyberattacks which target information and communic...
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03/21/2019
Towards automatic construction of multi-network models for heterogeneous multi-task learning
Multi-task learning, as it is understood nowadays, consists of using one...
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01/13/2018
Towards a more efficient representation of imputation operators in TPOT
Automated Machine Learning encompasses a set of meta-algorithms intended...
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06/04/2017
Evolving imputation strategies for missing data in classification problems with TPOT
Missing data has a ubiquitous presence in real-life applications of mach...
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12/10/2015
Computing factorized approximations of Pareto-fronts using mNM-landscapes and Boltzmann distributions
NM-landscapes have been recently introduced as a class of tunable rugged...
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11/18/2015