Zobrazeno 1 - 10
of 1 630
pro vyhledávání: '"Latent space"'
Autor:
Faleh Alshameri, Ran Xia
Publikováno v:
Big Data Mining and Analytics, Vol 7, Iss 3, Pp 718-729 (2024)
Anomaly detection is one of the many challenging areas in cybersecurity. The anomaly can occur in many forms, such as fraudulent credit card transactions, network intrusions, and anomalous imageries or documents. One of the most common challenges in
Externí odkaz:
https://doaj.org/article/e5bbb3ec49a04a9bad70a5633d6c835a
Publikováno v:
Zeitschrift für Medizinische Physik, Vol 34, Iss 2, Pp 318-329 (2024)
Introduction: Multiple sclerosis (MS) is a complex neurodegenerative disorder that affects the brain and spinal cord. In this study, we applied a deep learning-based approach using the StyleGAN model to explore patterns related to MS and predict dise
Externí odkaz:
https://doaj.org/article/101561786be7406c8752749e14ea8bcc
Publikováno v:
Journal of Cheminformatics, Vol 16, Iss 1, Pp 1-14 (2024)
Abstract Autoencoders are frequently used to embed molecules for training of downstream deep learning models. However, evaluation of the chemical information quality in the latent spaces is lacking and the model architectures are often arbitrarily ch
Externí odkaz:
https://doaj.org/article/9564c81fcebf465298f539ee1d29ff16
Publikováno v:
Foundations of Computing and Decision Sciences, Vol 49, Iss 1, Pp 21-36 (2024)
Deep neural networks based image classification systems could suffer from adversarial attack algorithms, which generate input examples by adding deliberately crafted yet imperceptible noise to original input images. These crafted examples can fool sy
Externí odkaz:
https://doaj.org/article/55705007d66f480caaacbe5c6153442e
Publikováno v:
IEEE Access, Vol 12, Pp 32637-32659 (2024)
This work introduces a new condition monitoring approach for complex systems based on a standardized latent space representation. Latent variable models such as the variational autoencoders are widely used to analyze systems described by a high-dimen
Externí odkaz:
https://doaj.org/article/0969a8ee7f0c4e738125573bf019b72b
Autor:
Carlos-Paul Bernal-Onate, Enrique V. Carrera, Francisco-Manuel Melgarejo-Meseguer, Rodolfo Gordillo-Orquera, Jose Luis Rojo-Alvarez, Roman A. Lara-Cueva
Publikováno v:
IEEE Access, Vol 12, Pp 20624-20636 (2024)
Micro-earthquakes are frequently associated with volcanic activity and are vital indicators of volcanic processes. These minor seismic events occur within or near volcanic systems, yielding valuable insights into subsurface activities. Geologists met
Externí odkaz:
https://doaj.org/article/bf7175e6231e49a6aaa1ad9b1b684d39
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 411-427 (2024)
Hyperspectral images (HSIs) are challenging for hyperspectral object detection (HTD) due to their complex background information and the limited prior knowledge of the target. This article proposes an adaptive background latent space adversarial lear
Externí odkaz:
https://doaj.org/article/40775a8989164d67b53e557423d62bbc
Publikováno v:
Data Science in Science, Vol 3, Iss 1 (2024)
In financial markets, systemic risk is a type of risk in which the failure of one stock in the market triggers a sequence of failures. Our study proposes a Bayesian decision scheme to dynamically monitor systemic risk under any preferences and restri
Externí odkaz:
https://doaj.org/article/bf7e4aaebd0041028696ae82f75084d8
Autor:
James A. Grant-Jacob
Publikováno v:
Communicative & Integrative Biology, Vol 17, Iss 1 (2024)
ABSTRACTIn this hypothesis, I discuss how laughter from physical play could have evolved to being induced via visual or even verbal stimuli, and serves as a signal to highlight incongruity that could potentially pose a threat to survival. I suggest h
Externí odkaz:
https://doaj.org/article/ff30601adad848ed86030ef3f205d23b
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 12, Pp 21098-21119 (2023)
Cancer subtyping (or cancer subtypes identification) based on multi-omics data has played an important role in advancing diagnosis, prognosis and treatment, which triggers the development of advanced multi-view clustering algorithms. However, the hig
Externí odkaz:
https://doaj.org/article/71aaedd1f7634c5db8d8d8ddf44504a6