Asperti, Andrea; Fiorilla, Salvatore; Nardi, Simone; Orsini, Lorenzo, A review of recent techniques for person re-identification, «MACHINE VISION AND APPLICATIONS», 2025, 36, Article number: 25, pp. 1 - 29 [articolo]
Asperti, Andrea; Naldi, Leonardo; Fiorilla, Salvatore, An Investigation of the Domain Gap in CLIP-Based Person Re-Identification, «SENSORS», 2025, 25, Article number: 363, pp. 1 - 19 [articolo]Open Access
Asperti, Andrea; Merizzi, Fabio; Paparella, Alberto; Pedrazzi, Giorgio; Angelinelli, Matteo; Colamonaco, Stefano, Precipitation nowcasting with generative diffusion models, «APPLIED INTELLIGENCE», 2025, 55, Article number: 187, pp. 1 - 21 [articolo]
Asperti, Andrea; Fiorilla, Salvatore; Orsini, Lorenzo, A Generative Approach to Person Reidentification, «SENSORS», 2024, 24, Article number: 1240, pp. 1 - 17 [articolo]Open Access
Huang, X. Angelo; La Malfa, Emanuele; Marro, Samuele; Asperti, Andrea; Cohn, Anthony G.; Wooldridge, Michael J., A Notion of Complexity for Theory of Mind via Discrete World Models, in: Findings of the Association for Computational Linguistics: EMNLP 2024, 2024, pp. 2964 - 2983 (atti di: Findings of the Association for Computational Linguistics: EMNLP 2024, Miami, Florida, USA, November 12-16, 2024) [Contributo in Atti di convegno]
Asperti, Andrea; Colasuonno, Gabriele; Guerra, Antonio, Illumination and Shadows in Head Rotation: Experiments with Denoising Diffusion Models, «ELECTRONICS», 2024, 13, Article number: 3091, pp. 1 - 32 [articolo]
Merizzi F.; Asperti A.; Colamonaco S., Wind speed super-resolution and validation: from ERA5 to CERRA via diffusion models, «NEURAL COMPUTING & APPLICATIONS», 2024, n.a., pp. 1 - 23 [articolo]
Asperti, Andrea; Tonelli, Valerio, Comparing the latent space of generative models, «NEURAL COMPUTING & APPLICATIONS», 2023, 35, pp. 3155 - 3172 [articolo]Open Access
Asperti, Andrea; Filippini, Daniele, Deep Learning for Head Pose Estimation: A Survey, «SN COMPUTER SCIENCE», 2023, 4, pp. 1 - 41 [articolo]Open Access
Asperti, Andrea; Evangelista, Davide; Marro, Samuele; Merizzi, Fabio, Image embedding for denoising generative models, «ARTIFICIAL INTELLIGENCE REVIEW», 2023, 56, pp. 14511 - 14533 [articolo]Open Access
Asperti, Andrea; Del Brutto, Marco, MicroRacer: A Didactic Environment for Deep Reinforcement Learning, in: Machine Learning, Optimization, and Data Science. LOD 2022., Cham, Springer, «LECTURE NOTES IN COMPUTER SCIENCE», 2023, 13810, pp. 239 - 252 (atti di: International Conference on Machine Learning, Optimization, and Data Science - LOD 2022, Certosa di Pontignano, Siena, Italy, 18-22 settembre 2022) [Contributo in Atti di convegno]Open Access
Asperti, Andrea; Colasuonno, Gabriele; Guerra, Antonio, Portrait Reification with Generative Diffusion Models, «APPLIED SCIENCES», 2023, 13, pp. 6487 - 6500 [articolo]Open Access
Asperti, Andrea; Evangelista, Davide; Marzolla, Moreno, Dissecting FLOPs Along Input Dimensions for GreenAI Cost Estimations, in: International Conference on Machine Learning, Optimization, and Data Science, Springer, «LECTURE NOTES IN COMPUTER SCIENCE», 2022, 13164, pp. 86 - 100 (atti di: 7th International Conference on Machine Learning, Optimization, and Data Science, LOD 2021, Grasmere, United Kingdom, 4-8 october 2021) [Contributo in Atti di convegno]Open Access
Asperti A.; Bugo L.; Filippini D., Enhancing variational generation through self-decomposition, «IEEE ACCESS», 2022, 10, pp. 67510 - 67520 [articolo]Open Access
Asperti, Andrea; Evangelista, Davide; Loli Piccolomini, Elena, A Survey on Variational Autoencoders from a Green AI Perspective, «SN COMPUTER SCIENCE», 2021, 2, Article number: 301, pp. 1 - 23 [articolo]Open Access
