Giorgio Russolillo

Associate Professor

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

Annuler

2025

Conference Articles

Dieye, N. A.; Russolillo, G. and Niang, N. Assessing the capability of supervised classifiers to recover the true underlying probabilities. In International conference on Advanced Machine Learning and Data Science, Tokyo, Japan, 2025. www

Dieye, N. A.; Russolillo, G. and Niang, N. When standard calibration metrics fail in evaluating classifier calibration: A simulation study. In ClaDAG 2025, Naples, Italy, 2025. www

2024

Conference Articles

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

Miscellaneous

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

2020

Journal Articles

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

Conference Articles

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

Journal Articles

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

Conference Articles

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

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

Book Sections

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

Proceedings

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

2014

Conference Articles

Hocine, M.; Russolillo, G. and Saporta, G. A PLS Path Model for Predicting Impact of Job Characteristics on Work-Related Stress. In PLS2014, Book of Abstracts, pages 103-104, Paris, France, 2014. www

2013

Books

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

Journal Articles

Russolillo, G. Non-Metric Partial Least Squares. In Electronic Journal of Statistics, 6, 2012. doi www

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

Conference Articles

Russolillo, G. About the influence of quantification in PLS-PM for customer satisfaction. In ERCIM'10, X, France, 2010. www

Russolillo, G. The Non-Metric Partial Least Squares approach. In 42èmes Journées de Statistique, Marseille, France, France, 2010. www

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

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

Esposito Vinzi, V.; Russolillo, G. and Trinchera, L. An integrated PLS Regression-based approach for multidimensional blocks in PLS path modeling. In ?, pages ?, Marseille, France, France, 2010. www

Publications :

Upcoming CÉDRIC Events :

Prochain Séminaire CEDRIC-LAETITIA

10/02/2026 - 10 h 00 - 11 h 00

CNAM, Paris

Le prochain séminaire du laboratoire CEDRIC sera organisé par l’équipe LAETITIA. Il aura lieu le mardi 10 février 2026, de 10h à 11h dans la salle 11-A3-33 (accès 11, escalier A, au 3^ème étage). Gunes Karabulut-Kurt, Professeur à Polytechnique Montréal présentera ses travaux intitulés “Role of Communication Systems in Space Domain Awareness”.

Title: Role of Communication Systems in Space Domain Awareness

Abstract: Earth’s growing low Earth orbit (LEO) satellite networks provide diverse services, but they also bring risks that are associated with collision risk, interference, orbital debris, and limited Resources. Increasing spacecraft strains ground station capabilities. Proper resource management and coordination are essential. Addressing these issues is vital, especially in the face of attacks or unforeseen events. Stakeholders explore Space Domain Awareness (SDA) to detect, track, and understand space objects. SDA aims for situational awareness, safety, security, efficiency, and resilience. This talk introduces SDA, delves into future security threats, and explores communication systems’ remedies. Preliminary results will be presented along with the open issues.

Brief Profile :

Gunes Karabulut-Kurt is a Canada Research Chair (Tier 1) in New Frontiers in Space Communications and a Professor at Polytechnique Montréal, Montréal, QC, Canada. She is the Director of the Poly-Grames Research Center, and is co-founder and Director of Education and Training of ASTROLITH, Transdisciplinary Research Unit of Space Resource and Infrastructure Engineering at Polytechnique Montréal. She is also an adjunct research professor at Carleton University, Canada. Gunes received the B.S. degree with high honors in electronics and electrical engineering from Bogazici University, Istanbul, Turkiye, in 2000 and the M.A.Sc. and the Ph.D. degrees in electrical engineering from the University of Ottawa, ON, Canada, in 2002 and 2006, respectively. She worked in different technology companies in Canada and Turkiye between 2005 and 2010. From 2010 to 2021, she was a professor at Istanbul Technical University. Gunes is a Marie Curie Fellow and has received the Turkish Academy of Sciences Outstanding Young Scientist (TÜBA-GEBIP) Award in 2019.

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