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[HTML][HTML] Detection of glaucoma using three-stage training with EfficientNet
This paper sets forth a methodology that is based on three-stage-training of a state-of-the-art
network architecture previously trained on Imagenet, and iteratively finetuned in three steps; …
network architecture previously trained on Imagenet, and iteratively finetuned in three steps; …
Summarization of videos with the signature transform
This manuscript presents a new benchmark for assessing the quality of visual summaries
without the need for human annotators. It is based on the Signature Transform, specifically …
without the need for human annotators. It is based on the Signature Transform, specifically …
Signature and log-signature for the study of empirical distributions generated with GANs
In this paper, we address the research gap in efficiently assessing Generative Adversarial
Network (GAN) convergence and goodness of fit by introducing the application of the …
Network (GAN) convergence and goodness of fit by introducing the application of the …
Learning with signatures
In this work we investigate the use of the Signature Transform in the context of Learning.
Under this assumption, we advance a supervised framework that potentially provides state …
Under this assumption, we advance a supervised framework that potentially provides state …
Detection of glaucoma using three-stage training with EfficientNet
I de Zarzà i Cubero, J de Curtò y DíAz… - Intelligent Systems …, 2022 - openaccess.uoc.edu
This paper sets forth a methodology that is based on three-stage-training of a state-of-the-art
network architecture previously trained on Imagenet, and iteratively finetuned in three steps; …
network architecture previously trained on Imagenet, and iteratively finetuned in three steps; …
[PDF][PDF] Intelligent Systems with Applications
I de Zarza, J de Curto, CT Calafate - researchgate.net
This paper sets forth a methodology that is based on three-stage-training of a state-of-the-art
network architecture previously trained on Imagenet, and iteratively finetuned in three steps; …
network architecture previously trained on Imagenet, and iteratively finetuned in three steps; …
Frontiers of Large Language Models: Empowering Decision Optimization, Scene Understanding, and Summarization Through Advanced Computational Approaches …
J de Curtò i Díaz - 2023 - repositorio.comillas.edu
Este trabajo de investigación explora el impacto transformador de los Large Language
Models (LLMs) en el campo de la Inteligencia Artificial (IA), destacando su capacidad para …
Models (LLMs) en el campo de la Inteligencia Artificial (IA), destacando su capacidad para …
[HENVISNING][C] Summarization of Videos with the Signature Transform. Electronics 2023, 12, 1735
J de Curtò, I de Zarzà, G Roig, CT Calafate - 2023