Alan Mosca

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 13

Top Topics

Forecasting Accuracy

Class Conditional

Top Venues

Publications

Peter A. Zachares, Vahan Hovhannisyan, Alan Mosca, Yarin Gal
Form follows Function: Text-to-Text Conditional Graph Generation based on Functional Requirements. CoRR (2023)
Peter Zachares, Vahan Hovhannisyan, Carlos Ledezma, Joao Gante, Alan Mosca
On Forecasting Project Activity Durations with Neural Networks. EANN (2022)
Maria Eleni Athanasopoulou, Justina Deveikyte, Alan Mosca, Ilaria Peri, Alessandro Provetti
A Hybrid Model for Forecasting Short-Term Electricity Demand. CoRR (2022)
Maria Eleni Athanasopoulou, Justina Deveikyte, Alan Mosca, Ilaria Peri, Alessandro Provetti
A hybrid model for forecasting short-term electricity demand. ICAIF (2021)
Natalia Culakova, Dan Murphy, Joao Gante, Carlos Ledezma, Vahan Hovhannisyan, Alan Mosca
How to Calibrate your Neural Network Classifier: Getting True Probabilities from a Classification Model. KDD (2020)
Alan Mosca, George D. Magoulas
Customised ensemble methodologies for deep learning: Boosted Residual Networks and related approaches. Neural Comput. Appl. 31 (6) (2019)
Alan Mosca, George D. Magoulas
Hardening against adversarial examples with the smooth gradient method. Soft Comput. 22 (10) (2018)
Alan Mosca, George D. Magoulas
Boosted Residual Networks. EANN (2017)
Alan Mosca, George D. Magoulas
Deep Incremental Boosting. CoRR (2017)
Alan Mosca, George D. Magoulas
Training convolutional networks with weight-wise adaptive learning rates. ESANN (2017)
Alan Mosca, George D. Magoulas
Deep Incremental Boosting. GCAI (2016)
Alan Mosca, George D. Magoulas
Learning Input Features Representations in Deep Learning. UKCI (2016)
Alan Mosca, George D. Magoulas
Adapting Resilient Propagation for Deep Learning. CoRR (2015)