Alan Mosca
Title
Cited by
Cited by
Year
Deep Incremental Boosting
A Mosca, GD Magoulas
GCAI 2016. 2nd Global Conference on Artificial Intelligence 41, 293-302, 2016
252016
Adapting Resilient Propagation for Deep Learning
A Mosca, GD Magoulas
UK Workshop on Computational Intelligence, 2015
182015
Distillation of Deep Learning Ensembles as a Regularisation Method
A Mosca, GD Magoulas
Advances in Hybridization of Intelligent Methods, 97-118, 2018
52018
Training Convolutional Networks with Weight–wise Adaptive Learning Rates
A Mosca, GD Magoulas
European Symposium on Artificial Neural Networks, Computational Intelligence …, 2017
52017
Regularizing Deep Learning Ensembles by Distillation
A Mosca, GD Magoulas
6thInternational Workshop on Combinations of Intelligent Methods and …, 2016
42016
Hardening against adversarial examples with the smooth gradient method
A Mosca, GD Magoulas
Soft Computing, 2018
32018
Extending Encog: a study on classifier ensemble techniques
A Mosca
Birkbeck, University of London, 2012
32012
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
22019
Boosted Residual Networks
A Mosca, GD Magoulas
International Conference on Engineering Applications of Neural Networks, 137-148, 2017
22017
How to Calibrate your Neural Network Classifier: Getting True Probabilities from a Classification Model
N Culakova, D Murphy, J Gante, C Ledezma, V Hovhannisyan, A Mosca
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
12020
Learning Input Features Representations in Deep Learning
A Mosca, GD Magoulas
Advances in Computational Intelligence Systems: Contributions Presented at …, 2017
12017
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