Zobrazeno 1 - 10
of 7 248
pro vyhledávání: '"Lopez, José"'
Jupyter notebooks have become central in data science, integrating code, text and output in a flexible environment. With the rise of machine learning (ML), notebooks are increasingly used for ML prototyping and data analysis. However, due to their de
Externí odkaz:
http://arxiv.org/abs/2411.16795
Motivation: Automated bug detection in dynamically typed languages such as Python is essential for maintaining code quality. The lack of mandatory type annotations in such languages can lead to errors that are challenging to identify early with tradi
Externí odkaz:
http://arxiv.org/abs/2411.15368
This work presents an omics-driven modeling pipeline that integrates machine-learning tools to facilitate the dynamic modeling of multiscale biological systems. Random forests and permutation feature importance are proposed to mine omics datasets, gu
Externí odkaz:
http://arxiv.org/abs/2410.18864
Publikováno v:
Sensors 2023, 23(8), 4047
This paper analyses the centralized fusion linear estimation problem in multi-sensor systems with multiple packet dropouts and correlated noises. Packet dropouts are modeled by independent Bernoulli distributed random variables. This problem is addre
Externí odkaz:
http://arxiv.org/abs/2410.14378
Autor:
Millan-Romera, Jose Andres, Bavle, Hriday, Shaheer, Muhammad, Voos, Holger, Sanchez-Lopez, Jose Luis
Understanding the relationships between geometric structures and semantic concepts is crucial for building accurate models of complex environments. In indoors, certain spatial constraints, such as the relative positioning of planes, remain consistent
Externí odkaz:
http://arxiv.org/abs/2409.11972
RGB-D cameras supply rich and dense visual and spatial information for various robotics tasks such as scene understanding, map reconstruction, and localization. Integrating depth and visual information can aid robots in localization and element mappi
Externí odkaz:
http://arxiv.org/abs/2409.06625
Autor:
Stemmer, Georg, Lopez, Jose A., Ontiveros, Juan A. Del Hoyo, Raju, Arvind, Thimmanaik, Tara, Biswas, Sovan
In this work we explore the application of AI to robotic welding. Robotic welding is a widely used technology in many industries, but robots currently do not have the capability to detect welding defects which get introduced due to various reasons in
Externí odkaz:
http://arxiv.org/abs/2409.02290
Autor:
Shaheer, Muhammad, Millan-Romera, Jose Andres, Bavle, Hriday, Giberna, Marco, Sanchez-Lopez, Jose Luis, Civera, Javier, Voos, Holger
Having prior knowledge of an environment boosts the localization and mapping accuracy of robots. Several approaches in the literature have utilized architectural plans in this regard. However, almost all of them overlook the deviations between actual
Externí odkaz:
http://arxiv.org/abs/2408.01737
For a multidimensional It\^o semimartingale, we consider the problem of estimating integrated volatility functionals. Jacod and Rosenbaum (2013) studied a plug-in type of estimator based on a Riemann sum approximation of the integrated functional and
Externí odkaz:
http://arxiv.org/abs/2407.09759
Language models of code have demonstrated state-of-the-art performance across various software engineering and source code analysis tasks. However, their demanding computational resource requirements and consequential environmental footprint remain a
Externí odkaz:
http://arxiv.org/abs/2407.04147