Self-Supervised Object-Centric Representations Learning of Computer Vision and Natural Language Understanding Models
S Janghorbani - 2023 - search.proquest.com
Despite their significant advancements, conventional supervised learning models can be
resource-intensive and expensive due to their reliance on large amounts of annotations. Self …
resource-intensive and expensive due to their reliance on large amounts of annotations. Self …
Enhancing Deep Networks through Customized Iterative Hierarchical Data Augmentation: A Study utilizing the Sussex-Huawei-Locomotion Dataset
M van Amerongen - 2023 - elib.dlr.de
Artificial Neural Networks (ANNs) have emerged as a powerful tool for classification tasks
due to their ability to outperform traditional methods. Nevertheless, their effectiveness relies …
due to their ability to outperform traditional methods. Nevertheless, their effectiveness relies …
Análisis acústico de la tos para detección de COVID con énfasis en el balanceo de clases
AMA García - 2023 - cicese.repositorioinstitucional.mx
El desarrollo de métodos computacionales que permitan actuar rápidamente en el
diagnóstico de enfermedades nuevas, como el COVID-19, utilizando datos acústicos, como …
diagnóstico de enfermedades nuevas, como el COVID-19, utilizando datos acústicos, como …