Zobrazeno 1 - 10
of 1 111
pro vyhledávání: '"Vecchietti A"'
Autor:
Vecchietti, Luiz Felipe, Lee, Minji, Hangeldiyev, Begench, Jung, Hyunkyu, Park, Hahnbeom, Kim, Tae-Kyun, Cha, Meeyoung, Kim, Ho Min
Recent advancements in machine learning (ML) are transforming the field of structural biology. For example, AlphaFold, a groundbreaking neural network for protein structure prediction, has been widely adopted by researchers. The availability of easy-
Externí odkaz:
http://arxiv.org/abs/2409.17726
Proteins are complex molecules responsible for different functions in nature. Enhancing the functionality of proteins and cellular fitness can significantly impact various industries. However, protein optimization using computational methods remains
Externí odkaz:
http://arxiv.org/abs/2405.18986
Training agents via off-policy deep reinforcement learning (RL) requires a large memory, named replay memory, that stores past experiences used for learning. These experiences are sampled, uniformly or non-uniformly, to create the batches used for tr
Externí odkaz:
http://arxiv.org/abs/2212.13175
Identifying the camera pose for a given image is a challenging problem with applications in robotics, autonomous vehicles, and augmented/virtual reality. Lately, learning-based methods have shown to be effective for absolute camera pose estimation. H
Externí odkaz:
http://arxiv.org/abs/2211.10963
Publikováno v:
In Journal of Business Research January 2025 186
Relative camera pose estimation, i.e. estimating the translation and rotation vectors using a pair of images taken in different locations, is an important part of systems in augmented reality and robotics. In this paper, we present an end-to-end rela
Externí odkaz:
http://arxiv.org/abs/2202.12838
In urban cities, visual information on and along roadways is likely to distract drivers and lead to missing traffic signs and other accident-prone (AP) features. To avoid accidents due to missing these visual cues, this paper proposes a visual notifi
Externí odkaz:
http://arxiv.org/abs/2202.12788
Autor:
Stella Alessandra, Vecchietti Alberto, Caprera Andrea, Lazzari Barbara, Milanesi Luciano, Pozzi Carlo
Publikováno v:
BMC Bioinformatics, Vol 6, Iss Suppl 4, p S16 (2005)
Abstract Background The ESTree db http://www.itb.cnr.it/estree/ represents a collection of Prunus persica expressed sequenced tags (ESTs) and is intended as a resource for peach functional genomics. A total of 6,155 successful EST sequences were obta
Externí odkaz:
https://doaj.org/article/61332c9d76e44e6181e9dd226760d166
Autor:
Pancrazzi Pancrazzi, Bloise Bloise, Moncada Moncada, Perticucci Perticucci, Vecchietti Vecchietti, Pompili Pompili, Ricciarini Ricciarini, Lenzi Lenzi, Gatteschi Gatteschi, Giusti Giusti, Rosito Rosito, Del Buono Del Buono, Belardi Belardi, Bruni Bruni, Borri Borri, Campione Campione, Laurini Laurini, Occhini Occhini, Presenti Presenti, Viticchi Viticchi, Rossi Rossi, Bardi Bardi, D'Urso D'Urso, Dei Dei, Venezia Venezia, Scala Scala, Bengala Bengala, Decarli Decarli, Carnevali Carnevali, Milandri Milandri, Ognibene Ognibene
Publikováno v:
Global Medical Genetics, Vol 10, Iss 03, Pp 172-187 (2023)
Background Liquid biopsy is mainly used to identify tumor cells in pulmonary neoplasms. It is more often used in research than in clinical practice. The BL-MOL-AR study aims to investigate the efficacy of next-generation sequencing (NGS) and clinical
Externí odkaz:
https://doaj.org/article/4c46e36737ad48df95994fb4349eaa7f
In multi-agent reinforcement learning, the cooperative learning behavior of agents is very important. In the field of heterogeneous multi-agent reinforcement learning, cooperative behavior among different types of agents in a group is pursued. Learni
Externí odkaz:
http://arxiv.org/abs/2104.05931