Zobrazeno 1 - 10
of 15 612
pro vyhledávání: '"Bertozzi"'
Autor:
Bertozzi Irene, Benetti Andrea, Regazzo Daniela, Polese Francesca, Biagetti Giacomo, Ceolotto Giulio, Randi Maria Luigia
Publikováno v:
Genes and Diseases, Vol 11, Iss 2, Pp 561-563 (2024)
Externí odkaz:
https://doaj.org/article/e4182ee8bf91402a8561584050a7fb00
We introduce a policy model coupled with the susceptible-infected-recovered (SIR) epidemic model to study interactions between policy-making and the dynamics of epidemics. We consider both single-region policies, as well as game-theoretic models invo
Externí odkaz:
http://arxiv.org/abs/2408.02097
Text-based person search (TBPS) is a problem that gained significant interest within the research community. The task is that of retrieving one or more images of a specific individual based on a textual description. The multi-modal nature of the task
Externí odkaz:
http://arxiv.org/abs/2407.04287
Autor:
Nguyen, Tan M., Nguyen, Tam, Ho, Nhat, Bertozzi, Andrea L., Baraniuk, Richard G., Osher, Stanley J.
Self-attention is key to the remarkable success of transformers in sequence modeling tasks including many applications in natural language processing and computer vision. Like neural network layers, these attention mechanisms are often developed by h
Externí odkaz:
http://arxiv.org/abs/2406.13781
Autor:
Bertozzi, Nicola, Bonanno, Claudio
When dealing with an orbit determination problem, uncertainties naturally arise from intrinsic errors related to observation devices and approximation models. Following the least squares method and applying approximation schemes such as the different
Externí odkaz:
http://arxiv.org/abs/2405.13840
Due to the limitations of current optical and sensor technologies and the high cost of updating them, the spectral and spatial resolution of satellites may not always meet desired requirements. For these reasons, Remote-Sensing Single-Image Super-Res
Externí odkaz:
http://arxiv.org/abs/2404.18924
Semantic Image Synthesis (SIS) is among the most popular and effective techniques in the field of face generation and editing, thanks to its good generation quality and the versatility is brings along. Recent works attempted to go beyond the standard
Externí odkaz:
http://arxiv.org/abs/2403.12743
Neural Radiance Fields (NeRF) have recently emerged as a powerful method for image-based 3D reconstruction, but the lengthy per-scene optimization limits their practical usage, especially in resource-constrained settings. Existing approaches solve th
Externí odkaz:
http://arxiv.org/abs/2312.17561
Autor:
Bozhidarova, Malvina, Chang, Jonathn, Ale-rasool, Aaishah, Liu, Yuxiang, Ma, Chongyao, Bertozzi, Andrea L., Brantingham, P. Jeffrey, Lin, Junyuan, Krishnagopal, Sanjukta
This study explores the dynamic relationship between online discourse, as observed in tweets, and physical hate crimes, focusing on marginalized groups. Leveraging natural language processing techniques, including keyword extraction and topic modelin
Externí odkaz:
http://arxiv.org/abs/2311.11163
Autor:
Hester, Eric W., Carney, Sean P., Shah, Vishwesh, Arnheim, Alyssa, Patel, Bena, Di Carlo, Dino, Bertozzi, Andrea L.
Liquid-liquid phase separation is key to understanding aqueous two-phase systems (ATPS) arising throughout cell biology, medical science, and the pharmaceutical industry. Controlling the detailed morphology of phase-separating compound droplets leads
Externí odkaz:
http://arxiv.org/abs/2310.17580