Foto del docente

Andrea Asperti

Full Professor

Department of Computer Science and Engineering

Academic discipline: INF/01 Informatics

Publications

Asperti, Andrea; Fiorilla, Salvatore; Orsini, Lorenzo, A Generative Approach to Person Reidentification, «SENSORS», 2024, 24, Article number: 1240 , pp. 1 - 17 [Scientific article]Open Access

Asperti, Andrea; Filippini, Daniele, Deep Learning for Head Pose Estimation: A Survey, «SN COMPUTER SCIENCE», 2023, 4, pp. 1 - 41 [Scientific article]Open Access

Asperti, Andrea; Evangelista, Davide; Marro, Samuele; Merizzi, Fabio, Image embedding for denoising generative models, «ARTIFICIAL INTELLIGENCE REVIEW», 2023, 56, pp. 14511 - 14533 [Scientific article]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, 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) [Contribution to conference proceedings]Open Access

Asperti, Andrea; Colasuonno, Gabriele; Guerra, Antonio, Portrait Reification with Generative Diffusion Models, «APPLIED SCIENCES», 2023, 13, pp. 6487 - 6500 [Scientific article]Open Access

Asperti, Andrea; Tonelli, Valerio, Comparing the latent space of generative models, «NEURAL COMPUTING & APPLICATIONS», 2022, Early Access, pp. 1 - 18 [Scientific article]

Asperti A.; Bugo L.; Filippini D., Enhancing variational generation through self-decomposition, «IEEE ACCESS», 2022, 10, pp. 67510 - 67520 [Scientific article]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 [Scientific article]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, 2021, 13164, pp. 86 - 100 (atti di: The 7th International Conference on Machine Learning Optimization Data Science, LOD 2021, Grasmere, United Kingdom, 4-8 october 2021) [Contribution to conference proceedings]Open Access

Asperti, Andrea; Dal Bianco, Stefano, Syllabification of the Divine Comedy, «ACM JOURNAL ON COMPUTING AND CULTURAL HERITAGE», 2021, 14, pp. 1 - 26 [Scientific article]Open Access

Asperti, Andrea; Trentin, Matteo, Balancing Reconstruction Error and Kullback-Leibler Divergence in Variational Autoencoders, «IEEE ACCESS», 2020, 8, pp. 199440 - 199448 [Scientific article]Open Access

Asperti, Andrea; Cortesi, Daniele; De Pieri, Carlo; Pedrini, Gianmaria; Sovrano, Francesco, Crawling in Rogue's Dungeons With Deep Reinforcement Techniques, «IEEE TRANSACTIONS ON GAMES», 2020, 12, pp. 177 - 186 [Scientific article]

Asperti, Andrea, Variance Loss in Variational Autoencoders, in: Machine Learning, Optimization, and Data Science. LOD 2020., Springer, 2020, 12565, pp. 297 - 308 (atti di: Machine Learning, Optimization, and Data Science. LOD 2020., Certosa di Pontignano, Siena, Italy, July 19-23, 2020) [Contribution to conference proceedings]Open Access

Asperti, Andrea, About Generative Aspects of Variational Autoencoders, in: Machine Learning, Optimization, and Data Science - 5th International Conference, LOD 2019, Siena, Italy, September 10-13, 2019, Proceedings, 2019, 11943, pp. 71 - 82 (atti di: Machine Learning, Optimization, and Data Science - 5th International Conference, LOD 2019, Siena, Italy, September 10-13, September 10-13, 2019) [Contribution to conference proceedings]

Asperti, Andrea; Cortesi, Daniele; Sovrano, Francesco, Crawling in Rogue’s Dungeons with (Partitioned) A3C, in: Machine Learning, Optimization, and Data Science - 4th International Conference, {LOD} 2018, Volterra, Italy, September 13-16, 2018, Revised Selected Papers, Springer, «LECTURE NOTES IN ARTIFICIAL INTELLIGENCE», 2019, 11331, pp. 264 - 275 (atti di: Machine Learning, Optimization, and Data Science - 4th International Conference, LOD 2018, Volterra, Italy, September 13-16, 2018) [Contribution to conference proceedings]