10 citations · 20 across the 9 of their papers we have counts for
9 papers
DyREx: Dynamic Query Representation for Extractive Question Answering
Urchade Zaratiana, Niama El Khbir, Dennis Núñez +3
Extractive question answering (ExQA) is an essential task for Natural Language Processing. The dominant approach to ExQA is one that represents the input sequence tokens (question…
Implementing a Detection System for COVID-19 based on Lung Ultrasound Imaging and Deep Learning
Carlos Rojas-Azabache, Karen Vilca-Janampa, Renzo Guerrero-Huayta +1
The COVID-19 pandemic started in China in December 2019 and quickly spread to several countries. The consequences of this pandemic are incalculable, causing the death of millions o…
Detection of COVID-19 Disease using Deep Neural Networks with Ultrasound Imaging
Carlos Rojas-Azabache, Karen Vilca-Janampa, Renzo Guerrero-Huayta +1
The new coronavirus 2019 (COVID-2019) has rapidly become a pandemic and has had a devastating effect on both everyday life, public health and the global economy. It is critical to…
Prediction of Tuberculosis using U-Net and segmentation techniques
Dennis Núñez-Fernández, Lamberto Ballan, Gabriel Jiménez-Avalos +3
One of the most serious public health problems in Peru and worldwide is Tuberculosis (TB), which is produced by a bacterium known as Mycobacterium tuberculosis. The purpose of this…
Automatic semantic segmentation for prediction of tuberculosis using lens-free microscopy images
Dennis Núñez-Fernández, Lamberto Ballan, Gabriel Jiménez-Avalos +2
Tuberculosis (TB), caused by a germ called Mycobacterium tuberculosis, is one of the most serious public health problems in Peru and the world. The development of this project seek…
Using Capsule Neural Network to predict Tuberculosis in lens-free microscopic images
Dennis Núñez-Fernández, Lamberto Ballan, Gabriel Jiménez-Avalos +2
Tuberculosis, caused by a bacteria called Mycobacterium tuberculosis, is one of the most serious public health problems worldwide. This work seeks to facilitate and automate the pr…
Prediction of gaze direction using Convolutional Neural Networks for Autism diagnosis
Dennis Núñez-Fernández, Franklin Porras-Barrientos, Macarena Vittet-Mondoñedo +2
Autism is a developmental disorder that affects social interaction and communication of children. The gold standard diagnostic tools are very difficult to use and time consuming. H…
Portable system for the prediction of anemia based on the ocular conjunctiva using Artificial Intelligence
Bryan Saldivar-Espinoza, Dennis Núñez-Fernández, Franklin Porras-Barrientos +3
Anemia is a major health burden worldwide. Examining the hemoglobin level of blood is an important way to achieve the diagnosis of anemia, but it requires blood drawing and a blood…
Development of a hand pose recognition system on an embedded computer using CNNs
Dennis Núñez Fernández
Demand of hand pose recognition systems are growing in the last years in technologies like human-machine interfaces. This work suggests an approach for hand pose recognition in emb…