Lorenzo Pellegrini

8 papers and 109 indexed citations i.

Lorenzo Pellegrini has authored 8 papers that have received a total of 109 indexed citations. This includes 8 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 1 paper in Radiology, Nuclear Medicine and Imaging. The topics of these papers are Domain Adaptation and Few-Shot Learning (7 papers), Multimodal Machine Learning Applications (6 papers) and Human Pose and Action Recognition (2 papers). Lorenzo Pellegrini is often cited by papers focused on Domain Adaptation and Few-Shot Learning (7 papers), Multimodal Machine Learning Applications (6 papers) and Human Pose and Action Recognition (2 papers) and collaborates with scholars based in Italy, United States and China. Lorenzo Pellegrini's co-authors include Vincenzo Lomonaco, Davide Maltoni, Antonio Carta, Nikhil Churamani and Annalisa Franco and has published in prestigious journals such as Artificial Intelligence, Neural Networks and Frontiers in Artificial Intelligence