Raffaello Camoriano

• Best PhD Thesis Award of the Computational Intelligence Society Italy Chapter 2017 conferred by IEEE Computational Intelligence Society - Italy Chapter, Italy (2017)

• Collegio di Ingegneria Elettronica, delle Telecomunicazioni e Fisica (ETF). Componente invitato
• Collegio di Ingegneria Informatica, del Cinema e Meccatronica. Componente invitato

Master of Science

• Machine learning and Deep learning. A.A. 2023/24, DATA SCIENCE AND ENGINEERING. Collaboratore del corso

Bachelor of Science

• Informatica. A.A. 2023/24, INGEGNERIA GESTIONALE. Collaboratore del corso

Projects funded by commercial contracts

• ECML-PKDD 2023 International Workshop ‘Adapting to Change: Reliable Learning Across Domains’, (2023-2023) - Responsabile Scientifico
  Sponsorship
• International Workshop ‘Learning Meets Model-based Methods for Manipulation and Grasping, (2023-2023) - Responsabile Scientifico
  Sponsorship

• Stephany Ortuno Chanelo. Programme in Intelligenza Artificiale (39^th cycle, 2023-in progress)
• Andrea Protopapa. Programme in Intelligenza Artificiale (39^th cycle, 2023-in progress)
• Leonardo Iurada. Programme in Intelligenza Artificiale (38^th cycle, 2022-in progress)

• Duan, Anqing; Batzianoulis, Iason; Camoriano, Raffaello; Rosasco, Lorenzo; Pucci, ... (2024)
  A structured prediction approach for robot imitation learning. In: THE INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH, vol. 43, pp. 113-133. ISSN 1741-3176
  Contributo su Rivista
• Tiboni, Gabriele; Camoriano, Raffaello; Tommasi, Tatiana (2023)
  PaintNet: Unstructured Multi-Path Learning from 3D Point Clouds for Robotic Spray Painting. In: International conference on intelligent robots and systems (IROS), Detroit (USA), 01-05 October 2023, pp. 3857-3864. ISBN: 978-1-6654-9190-7
  Contributo in Atti di Convegno (Proceeding)
• Capuano, Francesco; Peceli, Davorin; Tiboni, Gabriele; Camoriano, Raffaello; Rus, Bedrich (2023)
  TempoRL: laser pulse temporal shape optimization with Deep Reinforcement Learning. In: SPIE OPTICS + OPTOELECTRONICS, Prague (Czech Republic), 24-28 April 2023
  Contributo in Atti di Convegno (Proceeding)
• Milios, D; Camoriano, R; Michiardi, P; Rosasco, L; Filippone, M (2018)
  Dirichlet-based gaussian processes for large-scale calibrated classification. In: Neural Information Processing Systems 2018, Montréal, Canada, 3 - 8 December, 2018, pp. 6005-6015
  Contributo in Atti di Convegno (Proceeding)
• Camoriano, R; Angles, T; Rudi, A; Rosasco, L (2016)
  NYTRO: When Subsampling Meets Early Stopping. In: 19th International Conference on Artificial Intelligence and Statistics (AISTATS 2016), Cadiz, Spain, 9 maggio 2016, pp. 1403-1411
  Contributo in Atti di Convegno (Proceeding)