Giorgio Russolillo

Giorgio Russolillo

Maître de conférences
Team: Méthodes statistiques de data-mining et apprentissage
Personal website: http://artsetmetiers.academia.edu/Russolillo
Phone: +33 1 40 27 20 12
Office: 35.3.25

2024

Articles de conférence

  1. Dieye, N. A.; Russolillo, G. and Niang, N. Sensibilité des indices de qualité d'un classifieur probabiliste. In 55ièmes Journées de Statistique, Bordeaux, France, 2024. www 

Divers

  1. Dieye, N. A.; Niang, N. and Russolillo, G. Sensibilité des indices de qualité d'un classifieur probabiliste. , Poster. www 

2020

Articles de revue

  1. Russolillo, G. and Saporta, G. Using partial least squares regression for conjoint analysis. In Statistica Applicata - Italian Journal of Applied Statistics, 32: 67-84, 2020. doi  www 

2019

Articles de conférence

  1. Milliet de Faverges, M.; Picouleau, C.; Russolillo, G.; Merabet, B. and Houzel, B. Impact of calibration of perturbations in simulation: the case of robustness evaluation at a station. In RailNorrk"oping 2019. 8th International Conference on Railway Operations Modelling and Analysis (ICROMA), Norrk"oping, Sweden, 2019. www 

2018

Articles de revue

  1. Massiera, P.; Trinchera, L. and Russolillo, G. 'Evaluation de la présence des capacités marketing. Proposition d'un index multidimensionnel et hiérarchique. In Recherche et Applications en Marketing (French Edition), 33 (1): 31-55, 2018. doi  www 

Articles de conférence

  1. Milliet de Faverges, M.; Russolillo, G.; Picouleau, C.; Merabet, B. and Houzel, B. Modelling passenger train arrival delays with Generalized Linear Models and its perspective for scheduling at main stations. In 8th International Conference on Railway Engineering (ICRE 2018), IET, London, United Kingdom, 2018. doi  www 
  1. Milliet de Faverges, M.; Russolillo, G.; Picouleau, C.; Merabet, B. and Houzel, B. Estimating long-term delay risk with Generalized Linear Models. In 2018 21st International Conference on Intelligent Transportation Systems (ITSC), pages 2911-2916, IEEE, Maui, France, 2018. doi  www 

2017

Chapitres d'ouvrage

  1. Petrarca, F.; Russolillo, G. and Trinchera, L. Integrating Non-metric Data in Partial Least Squares Path Models: Methods and Application. In Partial Least Squares Path Modeling, pages 259-279, Springer International Publishing, 2017. doi  www 

2016

Actes de colloque

  1. Abdi, H.; Esposito Vinzi, V.; Saporta, G.; Russolillo, G. and Trinchera, L. The Multiple Facets of Partial Least Squares Methods. Springer, 2016. www 

2014

Articles de conférence

  1. Hocine, M.; Russolillo, G. and Saporta, G. A PLS Path Model for Predicting Impact of Job Characteristics on Work-Related Stress. In PLS2014. 8th International Conference on Partial Least Squares and related Methods, pages 103-104, Paris, France, 2014. www 

2013

Livres

  1. Abdi, H.; Chin, W. W.; Esposito Vinzi, V.; Russolillo, G. and Trinchera, L. New Perspectives in Partial Least Squares and Related Methods. , 2013. www 

2012

Articles de revue

  1. Russolillo, G. Non-Metric Partial Least Squares. In Electronic Journal of Statistics, 6, 2012. doi  www 
  1. Gennarino, V. A.; d'Angelo, G.; Dharmalingam, G.; Fernandez, S.; Russolillo, G.; Sanges, R.; Mutarelli, M.; Belcastro, V.; Ballabio, A.; Verde, P.; Sardiello, M. and Banfi, S. Identification of microRNA-regulated gene networks by expression analysis of target genes. In Genome Research., 22: 1163-1172, 2012. www 

2010

Articles de conférence

  1. Russolillo, G. About the influence of quantification in PLS-PM for customer satisfaction. In ERCIM'10, X, France, 2010. www 
  1. Esposito Vinzi, V.; Jouffe, L.; Russolillo, G.; Trinchera, L. and Zargoush, M. Knowledge Extraction by Investigating Model Uncertainty through Predictive Path Modeling and Probabilistic Networks. In Joint Meeting (GfKj-CLADAG'10), Florence, Italy, 2010. www 
  1. Russolillo, G. The Non-Metric Partial Least Squares approach. In 42èmes Journées de Statistique, Marseille, France, France, 2010. www 
  1. Esposito Vinzi, V.; Russolillo, G. and Trinchera, L. An integrated PLS Regression-based approach for multidimensional blocks in PLS path modeling. In 42èmes Journées de Statistique, pages ?, Marseille, France, France, 2010. www 
  1. Esposito Vinzi, V.; Jouffe, L.; Russolillo, G.; Trinchera, L. and Zargoush, M. Integrated approaches for PLS Path Modeling: PLS regression Estimation Mode(l)s and Probabilistic Networks. In 10th SENSOMETRICS -- Past, present, futur - 2010, Rotterdam, Netherlands, 2010. www 
Top