Alan Mosca
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Deep Incremental Boosting
A Mosca, GD Magoulas
GCAI 2016. 2nd Global Conference on Artificial Intelligence 41, 293-302, 2016
Adapting Resilient Propagation for Deep Learning
A Mosca, GD Magoulas
UK Workshop on Computational Intelligence, 2015
Tweedie moment projected diffusions for inverse problems
B Boys, M Girolami, J Pidstrigach, S Reich, A Mosca, OD Akyildiz
arXiv preprint arXiv:2310.06721, 2023
Distillation of deep learning ensembles as a regularisation method
A Mosca, GD Magoulas
Advances in Hybridization of Intelligent Methods: Models, Systems and …, 2018
Customised ensemble methodologies for deep learning: Boosted Residual Networks and related approaches
A Mosca, GD Magoulas
Neural Computing and Applications 31, 1713-1731, 2019
Boosted residual networks
A Mosca, GD Magoulas
Engineering Applications of Neural Networks: 18th International Conference …, 2017
Training Convolutional Networks with Weight–wise Adaptive Learning Rates
A Mosca, GD Magoulas
European Symposium on Artificial Neural Networks, Computational Intelligence …, 2017
On Forecasting Project Activity Durations with Neural Networks
P Zachares, V Hovhannisyan, C Ledezma, J Gante, A Mosca
International Conference on Engineering Applications of Neural Networks, 103-114, 2022
Regularizing deep learning ensembles by distillation
A Mosca, GD Magoulas
6th international workshop on combinations of intelligent methods and …, 2016
Hardening against adversarial examples with the smooth gradient method
A Mosca, GD Magoulas
Soft Computing, 2018
Extending Encog: a study on classifier ensemble techniques
A Mosca
Birkbeck, University of London, 2012
A hybrid model for forecasting short-term electricity demand
ME Athanasopoulou, J Deveikyte, A Mosca, I Peri, A Provetti
Proceedings of the Second ACM International Conference on AI in Finance, 1-6, 2021
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
Form follows Function: Text-to-Text Conditional Graph Generation based on Functional Requirements
PA Zachares, V Hovhannisyan, A Mosca, Y Gal
arXiv preprint arXiv:2311.00444, 2023
Data-Driven Schedule Risk Forecasting for Construction Mega-Projects
V Hovhannisyan, P Zachares, Y Grushka-Cockayne, A Mosca, ...
Available at SSRN 4496119, 2023
Learning Input Features Representations in Deep Learning
A Mosca, GD Magoulas
Advances in Computational Intelligence Systems: Contributions Presented at …, 2017
A Hybrid Model for Forecasting Short-Term Electricity Demand
M Eleni Athanasopoulou, J Deveikyte, A Mosca, I Peri, A Provetti
arXiv e-prints, arXiv: 2205.10449, 2022
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