Alan Mosca

14 papers A* 1B 1C 2Journal 7Unranked 3
YearRankTypeTitle / Venue / Authors
2024 J jnl
Tweedie Moment Projected Diffusions for Inverse Problems.
Trans. Mach. Learn. Res.
Benjamin Boys, Mark Girolami, Jakiw Pidstrigach, Sebastian Reich, Alan Mosca, Ömer Deniz Akyildiz
2023 J jnl
Form follows Function: Text-to-Text Conditional Graph Generation based on Functional Requirements.
CoRR
Peter A. Zachares, Vahan Hovhannisyan, Alan Mosca, Yarin Gal
2022 J jnl
A Hybrid Model for Forecasting Short-Term Electricity Demand.
CoRR
Maria Eleni Athanasopoulou, Justina Deveikyte, Alan Mosca, Ilaria Peri, Alessandro Provetti
2022 C conf
On Forecasting Project Activity Durations with Neural Networks.
EANN
Peter Zachares, Vahan Hovhannisyan, Carlos Ledezma, Joao Gante, Alan Mosca
2021 — conf
A hybrid model for forecasting short-term electricity demand.
ICAIF
Maria Eleni Athanasopoulou, Justina Deveikyte, Alan Mosca, Ilaria Peri, Alessandro Provetti
2020 A* conf
How to Calibrate your Neural Network Classifier: Getting True Probabilities from a Classification Model.
KDD
Natalia Culakova, Dan Murphy, Joao Gante, Carlos Ledezma, Vahan Hovhannisyan, Alan Mosca
2019 J jnl
Customised ensemble methodologies for deep learning: Boosted Residual Networks and related approaches.
Neural Comput. Appl.
Alan Mosca, George D. Magoulas
2018 J jnl
Hardening against adversarial examples with the smooth gradient method.
Soft Comput.
Alan Mosca, George D. Magoulas
2017 C conf
Boosted Residual Networks.
EANN
Alan Mosca, George D. Magoulas
2017 J jnl
Deep Incremental Boosting.
CoRR
Alan Mosca, George D. Magoulas
2017 B conf
Training convolutional networks with weight-wise adaptive learning rates.
ESANN
Alan Mosca, George D. Magoulas
2016 — conf
Deep Incremental Boosting.
GCAI
Alan Mosca, George D. Magoulas
2016 — conf
Learning Input Features Representations in Deep Learning.
UKCI
Alan Mosca, George D. Magoulas
2015 J jnl
Adapting Resilient Propagation for Deep Learning.
CoRR
Alan Mosca, George D. Magoulas