Zobrazeno 1 - 10
of 1 911
pro vyhledávání: '"A. Polato"'
Autor:
Rahman, Muhammad Rameez ur, Simonetto, Piero, Polato, Anna, Pasti, Francesco, Tonin, Luca, Vascon, Sebastiano
Open vocabulary 3D object detection (OV3D) allows precise and extensible object recognition crucial for adapting to diverse environments encountered in assistive robotics. This paper presents OpenNav, a zero-shot 3D object detection pipeline based on
Externí odkaz:
http://arxiv.org/abs/2408.13936
Autor:
Bhatnagar, Saakaar, Comerford, Andrew, Xu, Zelu, Polato, Davide Berti, Banaeizadeh, Araz, Ferraris, Alessandro
As the demand for lithium-ion batteries rapidly increases there is a need to design these cells in a safe manner to mitigate thermal runaway. Thermal runaway in batteries leads to an uncontrollable temperature rise and potentially fires, which is a m
Externí odkaz:
http://arxiv.org/abs/2408.11984
Higher-order interactions (HOIs) are ubiquitous in real-world complex systems and applications. Investigation of deep learning for HOIs, thus, has become a valuable agenda for the data mining and machine learning communities. As networks of HOIs are
Externí odkaz:
http://arxiv.org/abs/2404.01039
Publikováno v:
International Journal of Emerging Markets, 2022, Vol. 19, Issue 7, pp. 1901-1919.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJOEM-02-2022-0215
Autor:
Mittone, Gianluca, Tonci, Nicolò, Birke, Robert, Colonnelli, Iacopo, Medić, Doriana, Bartolini, Andrea, Esposito, Roberto, Parisi, Emanuele, Beneventi, Francesco, Polato, Mirko, Torquati, Massimo, Benini, Luca, Aldinucci, Marco
Publikováno v:
In Proceedings of the 20th ACM International Conference on Computing Frontiers 2023 (CF '23), ACM, New York, NY, USA, 73-83
Decentralised Machine Learning (DML) enables collaborative machine learning without centralised input data. Federated Learning (FL) and Edge Inference are examples of DML. While tools for DML (especially FL) are starting to flourish, many are not fle
Externí odkaz:
http://arxiv.org/abs/2302.07946
Autor:
Venturini, Daniel, Cogo, Filipe Roseiro, Polato, Ivanilton, Gerosa, Marco A, Wiese, Igor Scaliante
Publikováno v:
ACM Transactions on Software Engineering and Methodology (TOSEM 2023)
Complex software systems have a network of dependencies. Developers often configure package managers (e.g., npm) to automatically update dependencies with each publication of new releases containing bug fixes and new features. When a dependency relea
Externí odkaz:
http://arxiv.org/abs/2301.04563
The recent rise in deep learning technologies fueled innovation and boosted scientific research. Their achievements enabled new research directions for deep generative modeling (DGM), an increasingly popular approach that can create novel and unseen
Externí odkaz:
http://arxiv.org/abs/2204.12577
Interpretability is having an increasingly important role in the design of machine learning algorithms. However, interpretable methods tend to be less accurate than their black-box counterparts. Among others, DNFs (Disjunctive Normal Forms) are argua
Externí odkaz:
http://arxiv.org/abs/2204.05251
Publikováno v:
In Neurocomputing 14 January 2025 613
Autor:
Kamei, Fernando, Wiese, Igor, Lima, Crescencio, Polato, Ivanilton, Nepomuceno, Vilmar, Ferreira, Waldemar, Ribeiro, Márcio, Pena, Carolline, Cartaxo, Bruno, Pinto, Gustavo, Soares, Sérgio
Context: Grey Literature (GL) recently has grown in Software Engineering (SE) research since the increased use of online communication channels by software engineers. However, there is still a limited understanding of how SE research is taking advant
Externí odkaz:
http://arxiv.org/abs/2104.13435