Cristina Scarpazza

According to our database, Cristina Scarpazza authored at least 8 papers between 2011 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Detecting deception through facial expressions in a dataset of videotaped interviews: A comparison between human judges and machine learning models.

Merylin Monaro, Stéphanie Maldera, Cristina Scarpazza, Giuseppe Sartori, Nicolò Navarin

Comput. Hum. Behav., 2022

Face the Truth: Interpretable Emotion Genuineness Detection.

Matteo Cardaioli, Alessio Miolla, Mauro Conti, Giuseppe Sartori, Merylin Monaro, Cristina Scarpazza, Nicolò Navarin

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

From <i>ATOM</i> to <i>GradiATOM</i>: Cortical gradients support time and space processing as revealed by a meta-analysis of neuroimaging studies.

Giorgia Cona, Martin Wiener, Cristina Scarpazza

NeuroImage, 2021

2020

Neuroharmony: A new tool for harmonizing volumetric MRI data from unseen scanners.

Rafael Garcia-Dias, Cristina Scarpazza, Lea Baecker, Sandra Vieira, Walter H. L. Pinaya, Aiden P. Corvin, Alberto Redolfi, Barnaby Nelson, Benedicto Crespo-Facorro, Colm McDonald, Diana Tordesillas-Gutiérrez, Dara M. Cannon, David Mothersill, Dennis Hernaus, Derek Morris, Esther Setien-Suero, Gary Donohoe, Giovanni B. Frisoni, Andrea Mechelli

NeuroImage, 2020

Using Blink Rate to Detect Deception: A Study to Validate an Automatic Blink Detector and a New Dataset of Videos from Liars and Truth-Tellers.

Merylin Monaro, Pasquale Capuozzo, Federica Ragucci, Antonio Maffei, Antonietta Curci, Cristina Scarpazza, Alessandro Angrilli, Giuseppe Sartori

Proceedings of the Human-Computer Interaction. Human Values and Quality of Life, 2020

2019

Psychiatric Disorders Classification with 3D Convolutional Neural Networks.

Stefano Campese, Ivano Lauriola, Cristina Scarpazza, Giuseppe Sartori, Fabio Aiolli

Proceedings of the Recent Advances in Big Data and Deep Learning, 2019

2013

When the single matters more than the group: Very high false positive rates in single case Voxel Based Morphometry.

Cristina Scarpazza, Giuseppe Sartori, M. S. De Simone, Andrea Mechelli

NeuroImage, 2013

2011

Prognostic prediction of therapeutic response in depression using high-field MR imaging.

Qiyong Gong, Qizhu Wu, Cristina Scarpazza, Su Lui, Zhiyun Jia, Andre F. Marquand, Xiaoqi Huang, Philip K. McGuire, Andrea Mechelli

NeuroImage, 2011