Alan Mosca
Alan Mosca
Research Student - Birkbeck, University of London
Verified email at - Homepage
TitleCited byYear
Adapting Resilient Propagation for Deep Learning
A Mosca, GD Magoulas
UK Workshop on Computational Intelligence, 2015
Deep Incremental Boosting
A Mosca, GD Magoulas
GCAI 2016. 2nd Global Conference on Artificial Intelligence 41, 293-302, 2016
Training Convolutional Networks with Weight–wise Adaptive Learning Rates
A Mosca, GD Magoulas
European Symposium on Artificial Neural Networks, Computational Intelligence …, 2017
Distillation of Deep Learning Ensembles as a Regularisation Method
A Mosca, GD Magoulas
Advances in Hybridization of Intelligent Methods, 97-118, 2018
Regularizing Deep Learning Ensembles by Distillation
A Mosca, GD Magoulas
6thInternational Workshop on Combinations of Intelligent Methods and …, 2016
Hardening against adversarial examples with the smooth gradient method
A Mosca, GD Magoulas
Soft Computing, 2018
Boosted Residual Networks
A Mosca, GD Magoulas
International Conference on Engineering Applications of Neural Networks, 137-148, 2017
Customised ensemble methodologies for deep learning: Boosted Residual Networks and related approaches
A Mosca, GD Magoulas
Neural Computing and Applications 31 (6), 1713-1731, 2019
Learning Input Features Representations in Deep Learning
A Mosca, GD Magoulas
Advances in Computational Intelligence Systems: Contributions Presented at …, 2017
Extending Encog: a study on classifier ensemble techniques
A Mosca
Birkbeck, University of London, 2012
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Articles 1–10