Lorenzo Pellegrini - Concepedia

Author

Lorenzo Pellegrini

University of Bologna ORCID

Also Known As

Lorenzo Pellegrini, Pellegrini L., Pellegrini, Lorenzo

Publications

571

Citations

H-Index

Concepts

All Affiliations

University of Bologna University of Pisa Universität Hamburg Scuola Normale Superiore Chinese Academy of Sciences

About

Lorenzo Pellegrini is an author at University of Bologna specializing in computer science, machine learning, and engineering.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	7	7	213
2	Computer Science	7	7	213
3	Education	5	5	68
4	Data Science	5	5	182
5	Computer Engineering	4	4	172

Lorenzo Pellegrini

Publications

527

Citations

H-Index

Page 1

	Year	Citations
Latent replay for real-time continual learning Lorenzo Pellegrini, Gabriele Graffieti, Vincenzo Lomonaco, CINECA IRIS Institutial research information system (University of Pisa)	2020	135
Avalanche: An end-to-end library for continual learning Vincenzo Lomonaco, Lorenzo Pellegrini, Andrea Cossu, CINECA IRIS Institutial research information system (University of Pisa) Artificial IntelligenceContinual LearningIncremental LearningEngineeringMachine Learning	2021	120
Rehearsal-free continual learning over small Non-I.I.D. batches Vincenzo Lomonaco, Davide Maltoni, Lorenzo Pellegrini CINECA IRIS Institutial research information system (University of Pisa)	2020	51
FRCSyn-onGoing: Benchmarking and comprehensive evaluation of real and synthetic data to improve face recognition systems Pietro Melzi, Rubén Tolosana, Rubén Vera-Rodríguez, Information Fusion	2024	46
CVPR 2020 continual learning in computer vision competition: Approaches, results, current challenges and future directions Vincenzo Lomonaco, Lorenzo Pellegrini, Pau Rodríguez, CINECA IRIS Institutial research information system (University of Pisa)	2022	39
Latent Replay for Real-Time Continual Learning Lorenzo Pellegrini, Gabriele Graffieti, Vincenzo Lomonaco, Artificial IntelligenceIncremental LearningDeep Neural NetworksEngineeringMachine Learning	2020	25
Is Class-Incremental Enough for Continual Learning? Andrea Cossu, Gabriele Graffieti, Lorenzo Pellegrini, Frontiers in Artificial Intelligence	2022	22
Fine-Grained Continual Learning Vincenzo Lomonaco, Davide Maltoni, Lorenzo Pellegrini Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna)	2019	21
Generative negative replay for continual learning Gabriele Graffieti, Davide Maltoni, Lorenzo Pellegrini, Neural Networks Artificial IntelligenceEngineeringMachine LearningSequential LearningGenerative Negative Replay	2023	19
Memory-Latency-Accuracy Trade-Offs for Continual Learning on a RISC-V Extreme-Edge Node Leonardo Ravaglia, Manuele Rusci, Alessandro Capotondi, CINECA IRIS Institutial research information system (University of Pisa) EngineeringMachine LearningComputer ArchitectureEducationData Science	2020	15

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