Nicolas Chapados

发表

Mohammad Havaei, Nicolas Guizard, Nicolas Chapados, 2016, MICCAI.

Metric-based model selection for time-series forecasting

Nicolas Chapados, Yoshua Bengio, Yoshua Bengio, 2002, Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing.

A mixed-initiative natural dialogue system for conference room reservation

Nicolas Chapados, Réal Tremblay, Claudia Pateras, 1999, EUROSPEECH.

Statistical Machine Learning Algorithms for Target Classification from Acoustic Signature

Nicolas Chapados, Yoshua Bengio, Vincent Mirelli, 2009 .

Direct and Alternative Methods for Portfolio Choice

Nicolas Chapados, 2011 .

Meta-learning framework with applications to zero-shot time-series forecasting pdf

Nicolas Chapados, Yoshua Bengio, Boris N. Oreshkin, 2020, AAAI.

Statistical Learning Algorithms Applied to Automobile Insurance Ratemaking

Pascal Vincent, Nicolas Chapados, Yoshua Bengio, 2003 .

Scoring Models for Insurance Risk Sharing Pool Opimization

Pascal Vincent, Nicolas Chapados, Charles Dugas, 2008, 2008 IEEE International Conference on Data Mining Workshops.

Attentive Task-Agnostic Meta-Learning for Few-Shot Text Classification

Stan Matwin, Mohammad Havaei, Nicolas Chapados, 2018 .

The K Best-Paths Approach to Approximate Dynamic Programming with Application to Portfolio Optimization

Nicolas Chapados, Yoshua Bengio, Yoshua Bengio, 2006, Canadian Conference on AI.

Extensions to Metric-Based Model Selection

Nicolas Chapados, Yoshua Bengio, Yoshua Bengio, 2003, J. Mach. Learn. Res..

Higher-Order Feature Synthesis for Insurance Scoring Models

Nicolas Chapados, Xavier Saint-Mleux, Charles Dugas, 2009 .

Adversarially Learned Mixture Model pdf

Nicolas Chapados, Cécile Low-Kam, Andrew Jesson, 2018, ArXiv.

Input decay: simple and effective soft variable selection

Nicolas Chapados, Yoshua Bengio, 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).

Information Fusion in Deep Convolutional Neural Networks for Biomedical Image Segmentation 1

Mohammad Havaei, Nicolas Guizard, Nicolas Chapados, 2018, Signal Processing and Machine Learning for Biomedical Big Data.

Retail Store Workforce Scheduling by Expected Operating Income Maximization

Nicolas Chapados, Louis-Martin Rousseau, Marc Joliveau, 2011, CPAIOR.

Learning to Learn with Conditional Class Dependencies

Stan Matwin, Mohammad Havaei, Nicolas Chapados, 2018, ICLR.

A high-order feature synthesis and selection algorithm applied to insurance risk modelling

Nicolas Chapados, Xavier Saint-Mleux, Charles Dugas, 2011, Int. J. Bus. Intell. Data Min..

Detonation Classification from Acoustic Signature with the Restricted Boltzmann Machine

Nicolas Chapados, Yoshua Bengio, Hugo Larochelle, 2022 .

N-BEATS: Neural basis expansion analysis for interpretable time series forecasting pdf

Nicolas Chapados, Yoshua Bengio, Boris N. Oreshkin, 2019, ICLR.

CASED: Curriculum Adaptive Sampling for Extreme Data Imbalance pdf

Nicolas Guizard, Nicolas Chapados, Sina Hamidi Ghalehjegh, 2017, MICCAI.

SAFIR: A Simple API for Financial Information Requests

Nicolas Chapados, 2003 .

Estimating Car Insurance Premia: a Case Study in High-Dimensional Data Inference

Pascal Vincent, Nicolas Chapados, Yoshua Bengio, 2001, NIPS.

Effective Bayesian Modeling of Groups of Related Count Time Series

Nicolas Chapados, Nicolas Chapados, 2014, ICML.

Noisy K Best-Paths for Approximate Dynamic Programming with Application to Portfolio Optimization

Nicolas Chapados, Yoshua Bengio, Yoshua Bengio, 2007, J. Comput..

Portfolio Choice Problems - An Introductory Survey of Single and Multiperiod Models

Nicolas Chapados, Nicolas Chapados, 2011, Springer Briefs in Electrical and Computer Engineering.

On the Importance of Attention in Meta-Learning for Few-Shot Text Classification pdf

Stan Matwin, Mohammad Havaei, Nicolas Chapados, 2018, ArXiv.

Augmented Functional Time Series Representation and Forecasting with Gaussian Processes

Nicolas Chapados, Yoshua Bengio, 2007, NIPS.

Sequential machine learning approaches for portfolio management

Nicolas Chapados, 2009 .

Cost functions and model combination for VaR-based asset allocation using neural networks

Nicolas Chapados, Yoshua Bengio, Yoshua Bengio, 2001, IEEE Trans. Neural Networks.

Retail store scheduling for profit

Nicolas Chapados, Pierre L'Ecuyer, Louis-Martin Rousseau, 2014, Eur. J. Oper. Res..

Valorisation d'Options par Optimisation du Sharpe Ratio

Nicolas Chapados, Yoshua Bengio, Réjean Ducharme, 2002 .

Mo1679 REAL-TIME ARTIFICIAL INTELLIGENCE “FULL COLONOSCOPY WORKFLOW” FOR AUTOMATIC DETECTION FOLLOWED BY OPTICAL BIOPSY OF COLORECTAL POLYPS

Nicolas Guizard, Nicolas Chapados, Douglas K. Rex, 2018, Gastrointestinal Endoscopy.