Zobrazeno 1 - 10
of 710
pro vyhledávání: '"Russo, Stefano"'
Timeseria is an object-oriented time series processing library implemented in Python, which aims at making it easier to manipulate time series data and to build statistical and machine learning models on top of it. Unlike common data analysis framewo
Externí odkaz:
http://arxiv.org/abs/2410.09567
Context: Software Quality Assurance (SQA) is a fundamental part of software engineering to ensure stakeholders that software products work as expected after release in operation. Machine Learning (ML) has proven to be able to boost SQA activities and
Externí odkaz:
http://arxiv.org/abs/2408.17183
Autor:
Dalmazzone, Claire, Guigue, Mathieu, Mellet, Lucile, Popov, Boris, Russo, Stefano, Voisin, Vincent, Abgrall, Michel, Chupin, Baptiste, Lim, Caroline B., Pottie, Paul-Éric, Ulrich, Pierre
We present results of our study devoted to the development of a time correction algorithm needed to precisely synchronize a free-running Rubidium atomic clock with the Coordinated Universal Time (UTC). This R&D is performed in view of the Hyper-Kamio
Externí odkaz:
http://arxiv.org/abs/2407.20825
Deep Neural Networks (DNN) are core components for classification and regression tasks of many software systems. Companies incur in high costs for testing DNN with datasets representative of the inputs expected in operation, as these need to be manua
Externí odkaz:
http://arxiv.org/abs/2403.19271
In a recent study, Reinforcement Learning (RL) used in combination with many-objective search, has been shown to outperform alternative techniques (random search and many-objective search) for online testing of Deep Neural Network-enabled systems. Th
Externí odkaz:
http://arxiv.org/abs/2403.13729
With software systems becoming increasingly pervasive and autonomous, our ability to test for their quality is severely challenged. Many systems are called to operate in uncertain and highly-changing environment, not rarely required to make intellige
Externí odkaz:
http://arxiv.org/abs/2303.01302
Deep Neural Networks (DNN) are nowadays largely adopted in many application domains thanks to their human-like, or even superhuman, performance in specific tasks. However, due to unpredictable/unconsidered operating conditions, unexpected failures sh
Externí odkaz:
http://arxiv.org/abs/2303.01295
Rosetta is a science platform for resource-intensive, interactive data analysis which runs user tasks as software containers. It is built on top of a novel architecture based on framing user tasks as microservices - independent and self-contained uni
Externí odkaz:
http://arxiv.org/abs/2209.02003
Autor:
Russo, Stefano, Grasso, Marzio, Huang, Jian, Pramana, Stevin S., Gucci, Francesco, Shaw, Christopher, Leighton, Glenn J.
Publikováno v:
In Materials & Design November 2024 247
Publikováno v:
In Information and Software Technology February 2025 178