Zobrazeno 1 - 10
of 48 444
pro vyhledávání: '"Machine and deep learning"'
Spatial data display correlation between observations collected at neighboring locations. Generally, machine and deep learning methods either do not account for this correlation or do so indirectly through correlated features and thereby forfeit pred
Externí odkaz:
http://arxiv.org/abs/2410.04312
Machine learning has been revolutionizing our world over the last few years and is also increasingly exploited in several areas of physics, including quantum dynamics and control.The need for a framework that brings together machine learning models a
Externí odkaz:
http://arxiv.org/abs/2412.14591
Publikováno v:
Education and Society (2024)
Fundus images are widely used for diagnosing various eye diseases, such as diabetic retinopathy, glaucoma, and age-related macular degeneration. However, manual analysis of fundus images is time-consuming and prone to errors. In this report, we propo
Externí odkaz:
http://arxiv.org/abs/2411.16250
Autism Spectrum Disorder (ASD) is often underdiagnosed in females due to gender-specific symptom differences overlooked by conventional diagnostics. This study evaluates machine learning models, particularly Random Forest and convolutional neural net
Externí odkaz:
http://arxiv.org/abs/2411.05880
The $n=1$ photon ring is an important probe of black hole (BH) properties and will be resolved by the Black Hole Explorer (BHEX) for the first time. However, extraction of black hole parameters from observations of the $n=1$ subring is not trivial. D
Externí odkaz:
http://arxiv.org/abs/2411.01060
Autor:
Lachaab, Mohamed, Omri, Abdelwahed
Publikováno v:
EuroMed Journal of Business, 2023, Vol. 19, Issue 4, pp. 781-797.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/EMJB-05-2022-0104
Autor:
Van Woensel, William, Motie, Soroor
This literature review studies the field of automated process extraction, i.e., transforming textual descriptions into structured processes using Natural Language Processing (NLP). We found that Machine Learning (ML) / Deep Learning (DL) methods are
Externí odkaz:
http://arxiv.org/abs/2409.13738
The analysis of tabular datasets is highly prevalent both in scientific research and real-world applications of Machine Learning (ML). Unlike many other ML tasks, Deep Learning (DL) models often do not outperform traditional methods in this area. Pre
Externí odkaz:
http://arxiv.org/abs/2408.14817