Alan Mosca

According to our database, Alan Mosca authored at least 11 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Form follows Function: Text-to-Text Conditional Graph Generation based on Functional Requirements.

Peter A. Zachares, Vahan Hovhannisyan, Alan Mosca, Yarin Gal

CoRR, 2023

2022

On Forecasting Project Activity Durations with Neural Networks.

Peter Zachares, Vahan Hovhannisyan, Carlos Ledezma, Joao Gante, Alan Mosca

Proceedings of the Engineering Applications of Neural Networks, 2022

2021

A hybrid model for forecasting short-term electricity demand.

Maria Eleni Athanasopoulou, Justina Deveikyte, Alan Mosca, Ilaria Peri, Alessandro Provetti

Proceedings of the ICAIF'21: 2nd ACM International Conference on AI in Finance, Virtual Event, November 3, 2021

2020

How to Calibrate your Neural Network Classifier: Getting True Probabilities from a Classification Model.

Natalia Culakova, Dan Murphy, Joao Gante, Carlos Ledezma, Vahan Hovhannisyan, Alan Mosca

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019

Customised ensemble methodologies for deep learning: Boosted Residual Networks and related approaches.

Alan Mosca, George D. Magoulas

Neural Comput. Appl., 2019

2018

Hardening against adversarial examples with the smooth gradient method.

Alan Mosca, George D. Magoulas

Soft Comput., 2018

2017

Training convolutional networks with weight-wise adaptive learning rates.

Alan Mosca, George D. Magoulas

Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

Boosted Residual Networks.

Alan Mosca, George D. Magoulas

Proceedings of the Engineering Applications of Neural Networks, 2017

2016

Learning Input Features Representations in Deep Learning.

Alan Mosca, George D. Magoulas

Proceedings of the Advances in Computational Intelligence Systems, 2016

Deep Incremental Boosting.

Alan Mosca, George D. Magoulas

Proceedings of the GCAI 2016. 2nd Global Conference on Artificial Intelligence, September 19, 2016

2015

Adapting Resilient Propagation for Deep Learning.

Alan Mosca, George D. Magoulas

CoRR, 2015