SCARSELLI FRANCO

Office hours

  • Wednesday from 14:00 to 16:00
    Place: Edificio S. Niccolo', Via Roma n.56 - stanza 112

Teaching activities

Completion accademic year: 2020/2021

Course year: 2 First cycle degree (DM 270) ENGINEERING MANAGEMENT A.Y. 2019/2020

Completion accademic year: 2019/2020

Course year: 1 Second cycle degree (Laurea Magistrale) COMPUTER AND AUTOMATION ENGINEERING A.Y. 2019/2020
Course year: 2 First cycle degree (DM 270) ENGINEERING MANAGEMENT A.Y. 2018/2019

Completion accademic year: 2018/2019

Course year: 1 Second cycle degree (Laurea Magistrale) COMPUTER AND AUTOMATION ENGINEERING A.Y. 2018/2019
Course year: 2 First cycle degree (DM 270) ENGINEERING MANAGEMENT A.Y. 2017/2018

Completion accademic year: 2017/2018

Course year: 1 Second cycle degree (Laurea Magistrale) COMPUTER AND AUTOMATION ENGINEERING A.Y. 2017/2018
Course year: 2 First cycle degree (DM 270) ENGINEERING MANAGEMENT A.Y. 2016/2017

Completion accademic year: 2016/2017

Course year: 1 Second cycle degree (Laurea Magistrale) COMPUTER AND AUTOMATION ENGINEERING A.Y. 2016/2017
Course year: 2 First cycle degree (DM 270) ENGINEERING MANAGEMENT A.Y. 2015/2016

Completion accademic year: 2015/2016

Course year: 1 Second cycle degree (Laurea Magistrale) COMPUTER AND AUTOMATION ENGINEERING A.Y. 2015/2016

Research

Latest publications:

  • Andreini, P., Bonechi, S., Bianchini, M., Mecocci, A., & Scarselli, F. (2020). Image generation by GAN and style transfer for agar plate image segmentation. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 184, 105268. - view more
  • Bonechi, S., Andreini, P., Bianchini, M., Pai, A., & Scarselli, F. (2019). Confidence measures for deep learning in domain adaptation. APPLIED SCIENCES, 9(11). - view more
  • Bonechi, S., Andreini, P., Bianchini, M., & Scarselli, F. (2019). COCO_TS Dataset: Pixel–Level Annotations Based on Weak Supervision for Scene Text Segmentation. In K.P. Tetko I.V. (a cura di), Artificial Neural Networks and Machine Learning – ICANN 2019: Image Processing. ICANN 2019 (pp. 238-250). Springer-Verlag. - view more
  • Crivello, A., Palumbo, F., Barsocchi, P., La Rosa, D., Scarselli, F., & Bianchini, M. (2019). Understanding Human Sleep Behaviour by Machine Learning. In Cognitive Infocommunications, Theory and Applications (pp. 227-252). Springer-Verlag. - view more
  • Rossi, A., Vannuccini, G., Andreini, P., Bonechi, S., Giacomini, G., Scarselli, F., et al. (2019). Analysis of brain NMR images for age estimation with deep learning. PROCEDIA COMPUTER SCIENCE, 159, 981-989. - view more