Ângelo Cardoso

18 papers A* 2A 1Journal 11Unranked 4
YearRankTypeTitle / Venue / Authors
2021 — conf
Datasets for Online Controlled Experiments.
NeurIPS Datasets and Benchmarks
Chak Hin Bryan Liu, Ângelo Cardoso, Paul Couturier, Emma J. McCoy
2021 J jnl
Datasets for Online Controlled Experiments.
CoRR
C. H. Bryan Liu, Ângelo Cardoso, Paul Couturier, Emma J. McCoy
2019 J jnl
Apps, Places and People: strategies, limitations and trade-offs in the physical and digital worlds.
CoRR
Marco De Nadai, Ângelo Cardoso, Antonio Lima, Bruno Lepri, Nuria Oliver
2018 — conf
A Recurrent Neural Network Survival Model: Predicting Web User Return Time.
ECML/PKDD (3)
Georg L. Grob, Ângelo Cardoso, C. H. Bryan Liu, Duncan A. Little, Benjamin Paul Chamberlain
2018 J jnl
A Recurrent Neural Network Survival Model: Predicting Web User Return Time.
CoRR
Georg L. Grob, Ângelo Cardoso, C. H. Bryan Liu, Duncan A. Little, Benjamin Paul Chamberlain
2018 A* conf
Product Characterisation towards Personalisation: Learning Attributes from Unstructured Data to Recommend Fashion Products.
KDD
Ângelo Cardoso, Fabio Daolio, Saúl Vargas
2018 J jnl
Product Characterisation towards Personalisation: Learning Attributes from Unstructured Data to Recommend Fashion Products.
CoRR
Ângelo Cardoso, Fabio Daolio, Saúl Vargas
2017 J jnl
Customer Life Time Value Prediction Using Embeddings.
CoRR
Benjamin Paul Chamberlain, Ângelo Cardoso, C. H. Bryan Liu, Roberto Pagliari, Marc Peter Deisenroth
2017 A* conf
Customer Lifetime Value Prediction Using Embeddings.
KDD
Benjamin Paul Chamberlain, Ângelo Cardoso, C. H. Bryan Liu, Roberto Pagliari, Marc Peter Deisenroth
2017 — conf
Generalising Random Forest Parameter Optimisation to Include Stability and Cost.
ECML/PKDD (3)
C. H. Bryan Liu, Benjamin Paul Chamberlain, Duncan A. Little, Ângelo Cardoso
2017 J jnl
Generalising Random Forest Parameter Optimisation to Include Stability and Cost.
CoRR
C. H. Bryan Liu, Benjamin Paul Chamberlain, Duncan A. Little, Ângelo Cardoso
2017 J jnl
SNet: Co-Developing Artificial Retinas and Predictive Internal Models for Real Robots.
IEEE Trans. Cogn. Dev. Syst.
Ricardo Santos, Ricardo Ferreira, Ângelo Cardoso, Alexandre Bernardino
2015 A conf
Low-rank forward models: A path to the self-organization of visuo-motor systems.
IROS
Ângelo Cardoso, Ricardo Ferreira, Ricardo Santos, Alexandre Bernardino
2014 J jnl
Noise tolerance in a Neocognitron-like network.
Neural Networks
Ângelo Cardoso, Andreas Wichert
2014 — conf
Sensori-motor networks vs neural networks for visual stimulus prediction.
ICDL-EPIROB
Ricardo Santos, Ricardo Ferreira, Ângelo Cardoso, Alexandre Bernardino
2013 J jnl
Handwritten digit recognition using biologically inspired features.
Neurocomputing
Ângelo Cardoso, Andreas Wichert
2012 J jnl
Iterative random projections for high-dimensional data clustering.
Pattern Recognit. Lett.
Ângelo Cardoso, Andreas Wichert
2010 J jnl
Neocognitron and the Map Transformation Cascade.
Neural Networks
Ângelo Cardoso, Andreas Wichert