High level test bench generation using software engineering concepts. - Jean François Santucci; Christophe Paoli (ITC, 1999)

Use of constraint solving in order to generate test vectors for behavioral validation. - Christophe Paoli; Marie-Laure Nivet; Jean François Santucci (HLDVT, 2000)

Validation de descriptions VHDL fondée sur des techniques issues du domaine du test de logiciels. (Validation of VHDL descriptions based on software testing techniques). - Christophe Paoli (2001)

Path-Oriented Test Data Generation of Behavioral VHDL Description. - Christophe Paoli; Marie-Laure Nivet; Jean François Santucci; Antoine Campana (DELTA, 2002)

Solar Radiation Forecasting Using Ad-Hoc Time Series Preprocessing and Neural Networks. - Christophe Paoli; Cyril Voyant; Marc Muselli; Marie-Laure Nivet (ICIC (1), 2009)

Predictability of PV power grid performance on insular sites without weather stations: use of artificial neural networks - Cyril Voyant; Marc Muselli; Christophe Paoli; Marie-Laure Nivet; Philippe Poggi (CoRR, 2009)

Predictability of PV power grid performance on insular sites without weather stations: use of artificial neural networks - Cyril Voyant; Marc Muselli; Christophe Paoli; Marie-Laure Nivet; Philippe Poggi; Pierrick Haurant (CoRR, 2010)

Numerical Weather Prediction (NWP) and hybrid ARMA/ANN model to predict global radiation - Cyril Voyant; Marc Muselli; Christophe Paoli; Marie-Laure Nivet (CoRR, 2012)

Hybrid methodology for hourly global radiation forecasting in Mediterranean area - Cyril Voyant; Marc Muselli; Christophe Paoli; Marie-Laure Nivet (CoRR, 2012)

Urban ozone concentration forecasting with artificial neural network in Corsica. - Wani W. Tamas; Gilles Notton; Christophe Paoli; Cyril Voyant; Marie-Laure Nivet; Aurélia Balu (CoRR, 2013)

Bayesian rules and stochastic models for high accuracy prediction of solar radiation. - Cyril Voyant; C. Darras; Marc Muselli; Christophe Paoli; Marie-Laure Nivet; Philippe Poggi (CoRR, 2013)

Multi-horizon solar radiation forecasting for Mediterranean locations using time series models. - Cyril Voyant; Christophe Paoli; Marc Muselli; Marie-Laure Nivet (CoRR, 2013)

Time series modeling with pruned multi-layer perceptron and 2-stage damped least-squares method. - Cyril Voyant; Wani W. Tamas; Christophe Paoli; Aurélia Balu; Marc Muselli; Marie-Laure Nivet; Gilles Notton (CoRR, 2013)

Contribution informatique en sciences pour l'environnement. - Christophe Paoli (2014)

Short-term solar irradiance and irradiation forecasts via different time series techniques: A preliminary study. - Cédric Join; Cyril Voyant; Michel Fliess; Marc Muselli; Marie-Laure Nivet; Christophe Paoli; Frédéric Chaxel (CoRR, 2014)

Time series modeling and large scale global solar radiation forecasting from geostationary satellites data. - Cyril Voyant; Pierrick Haurant; Marc Muselli; Christophe Paoli; Marie-Laure Nivet (CoRR, 2014)

Meteorological time series forecasting based on MLP modelling using heterogeneous transfer functions. - Cyril Voyant; Marie-Laure Nivet; Christophe Paoli; Marc Muselli; Gilles Notton (CoRR, 2014)

Numerical weather prediction or stochastic modeling: an objective criterion of choice for the global radiation forecasting. - Cyril Voyant; Gilles Notton; Christophe Paoli; Marie-Laure Nivet; Marc Muselli; Kahina Dahmani (CoRR, 2014)

Meteorological time series forecasting with pruned multi-layer perceptron and 2-stage Levenberg-Marquardt method. - Cyril Voyant; Wani W. Tamas; Marie-Laure Nivet; Gilles Notton; Christophe Paoli; Aurélia Balu; Marc Muselli (CoRR, 2014)

Meteorological time series forecasting with pruned multi-layer perceptron and two-stage Levenberg-Marquardt method. - Cyril Voyant; Wani W. Tamas; Marie-Laure Nivet; Gilles Notton; Christophe Paoli; Aurélia Balu; Marc Muselli (Int. J. Model. Identif. Control., 2015)

Heterogeneous transfer functions multi-layer perceptron (MLP) for meteorological time series forecasting. - Cyril Voyant; Marie-Laure Nivet; Christophe Paoli; Marc Muselli; Gilles Notton (Int. J. Model. Simul. Sci. Comput., 2015)

Time series forecasting on multivariate solar radiation data using deep learning (LSTM). - Murat Cihan Sorkun; Özlem Durmaz Incel; Christophe Paoli (Turkish J. Electr. Eng. Comput. Sci., 2020)

Exploiter le Deep Learning pour prévoir les vitesses de vent : Une approche liant topographie et données de réanalyse météorologique. - Diego Grante; Rachel Baile; Christophe Paoli (EGC, 2025)