Jean-Michel Poggi

According to our database1, Jean-Michel Poggi authored at least 23 papers between 1998 and 2021.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2021
Random forests for global sensitivity analysis: A selective review.
Reliab. Eng. Syst. Saf., 2021

Spatial CART classification trees.
Comput. Stat., 2021

A review of electric vehicle charging session open data: Poster.
Proceedings of the e-Energy '21: The Twelfth ACM International Conference on Future Energy Systems, Virtual Event, Torino, Italy, 28 June, 2021

2020
Aggregation of Multi-Scale Experts for Bottom-Up Load Forecasting.
IEEE Trans. Smart Grid, 2020

2019
Random forest-based approach for physiological functional variable selection for driver's stress level classification.
Stat. Methods Appl., 2019

Self-similarity analysis of vehicle driver's electrodermal activity.
Qual. Reliab. Eng. Int., 2019

2018
The ENBIS-17 Quality and Reliability Engineering International Special Issue.
Qual. Reliab. Eng. Int., 2018

AffectiveROAD system and database to assess driver's attention.
Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 2018

2017
Random Forests for Big Data.
Big Data Res., 2017

2016
Influence measures and stability for graphical models.
J. Multivar. Anal., 2016

2015
Discussion of "Analysis of spatio-temporal mobile phone data: a case study in the metropolitan area of Milan".
Stat. Methods Appl., 2015

VSURF: An R Package for Variable Selection Using Random Forests.
R J., 2015

Influence Measures for CART Classification Trees.
J. Classif., 2015

2013
Clustering Functional Data using Wavelets.
Int. J. Wavelets Multiresolution Inf. Process., 2013

2011
Trend Extraction for seasonal Time Series Using Ensemble Empirical Mode Decomposition.
Adv. Data Sci. Adapt. Anal., 2011

2010
Variable selection using random forests.
Pattern Recognit. Lett., 2010

2007
Forecasting Time Series Using Wavelets.
Int. J. Wavelets Multiresolution Inf. Process., 2007

Clustering Signals Using Wavelets.
Proceedings of the Computational and Ambient Intelligence, 2007

2006
Iterated Boosting for Outlier Detection.
Proceedings of the Data Science and Classification, 2006

Boosting and instability for regression trees.
Comput. Stat. Data Anal., 2006

Multivariate denoising using wavelets and principal component analysis.
Comput. Stat. Data Anal., 2006

2000
Nonlinear Adaptive Tracking Using Kernel Estimators: Estimation and Test for Linearity.
SIAM J. Control. Optim., 2000

1998
Testing Linearity for NARX Models.
Eur. J. Control, 1998


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