Buscar
A Customer Churn Detection Model for the Pay-TV Sector
(Ios Press, 2021)
Towards portable realizations of winograd-based convolution with vector intrinsics and OpenMP
(IEEE, 2022)
We take a step forward in the direction of developing high performance codes for the convolution, based on the Winograd transformation, that are easy to customize for different processor architectures. In our approach, ...
Convolution Operators for Deep Learning Inference on the Fujitsu A64FX Processor
(IEEE, 2022)
The convolution operator is a crucial kernel for
many computer vision and signal processing applications that
rely on deep learning (DL) technologies. As such, the efficient implementation of this operator has received ...
High Performance and Portable Convolution Operators for Multicore Processors
(IEEE, 2020-10)
The considerable impact of Convolutional Neural Networks on many Artificial Intelligence
tasks has led to the development of various high performance algorithms for the convolution operator present in this type of networks. ...
Analysing Food-Porn Images for Users’ Engagement in the Food Business
(IOS Press, 2022)
This paper presents an approach for analysing food-porn images and
their related comments published by the cooking school Getcookingcanada Instagram account. Our approach processes the published images to extract colour ...
Sentiment Analysis of Gastronomic Posts from Colour Palettes and Narrative Content
(IOS Press, 2023-11-01)
This paper presents an approach for analysing gastronomic images and also their related comments published by the Getcookingcanada Instagram account, which belongs to a cooking school. Our approach processes the published ...