Nicolas Chapados

According to our database1, Nicolas Chapados authored at least 21 papers between 1999 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2018
CASED: Curriculum Adaptive Sampling for Extreme Data Imbalance.
CoRR, 2018

Adversarially Learned Mixture Model.
CoRR, 2018

On the Importance of Attention in Meta-Learning for Few-Shot Text Classification.
CoRR, 2018

2017
CASED: Curriculum Adaptive Sampling for Extreme Data Imbalance.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

2016
HeMIS: Hetero-Modal Image Segmentation.
CoRR, 2016

HeMIS: Hetero-Modal Image Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

2014
Retail store scheduling for profit.
European Journal of Operational Research, 2014

Effective Bayesian Modeling of Groups of Related Count Time Series.
Proceedings of the 31th International Conference on Machine Learning, 2014

2012
Detonation Classification from acoustic Signature with the Restricted Boltzmann Machine.
Computational Intelligence, 2012

2011
Portfolio Choice Problems - An Introductory Survey of Single and Multiperiod Models
Springer Briefs in Electrical and Computer Engineering, Springer, ISBN: 978-1-4614-0577-1, 2011

A high-order feature synthesis and selection algorithm applied to insurance risk modelling.
IJBIDM, 2011

Retail Store Workforce Scheduling by Expected Operating Income Maximization.
Proceedings of the Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems, 2011

2008
Scoring Models for Insurance Risk Sharing Pool Opimization.
Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

2007
Noisy K Best-Paths for Approximate Dynamic Programming with Application to Portfolio Optimization.
JCP, 2007

Augmented Functional Time Series Representation and Forecasting with Gaussian Processes.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

2006
The K Best-Paths Approach to Approximate Dynamic Programming with Application to Portfolio Optimization.
Proceedings of the Advances in Artificial Intelligence, 2006

2003
Extensions to Metric-Based Model Selection.
Journal of Machine Learning Research, 2003

2002
Metric-based model selection for time-series forecasting.
Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing, 2002

2001
Cost functions and model combination for VaR-based asset allocation using neural networks.
IEEE Trans. Neural Networks, 2001

Estimating Car Insurance Premia: a Case Study in High-Dimensional Data Inference.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

1999
A mixed-initiative natural dialogue system for conference room reservation.
Proceedings of the Sixth European Conference on Speech Communication and Technology, 1999


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