Conveners
VI Workshop on Data And Knowledge Engineering (Wdke 2022): Invited Talk
- Claudio Meneses Villegas (Departamento de Ingeniería de Sistemas y Computación, Universidad Católica del Norte.)
- Diego Urrutia Astorga (Departamento de Ingeniería de Sistemas y Computación, Universidad Católica del Norte.)
VI Workshop on Data And Knowledge Engineering (Wdke 2022): Short presentation
- Diego Urrutia Astorga (Departamento de Ingeniería de Sistemas y Computación, Universidad Católica del Norte.)
- Claudio Meneses Villegas (Departamento de Ingeniería de Sistemas y Computación, Universidad Católica del Norte.)
Description
The Workshop on Data and Knowledge Engineering (WDKE) is a space for the dissemination of scientific and professional academic activity in the area of data and knowledge enginnering, including invited talks and short presentations of research in progress works.
Image segmentation of biomedical images has a long history and numerous algorithms for numerous applications have been developed. In recent years, deep learning techniques, like convolutional neural networks, have provided very good results, in some cases better than those of “traditional” algorithms and in other cases even better than human experts. In this presentation, we will explore the...
Palm vein recognition is an emerging biometric technique with several advantages, especially in terms of security against forgery, which has gained the attention of the research community. However, collecting large-scale biometric datasets is a challenging task because of restrictions on time, security, and cost. Publicly available databases have a reduced number of individuals and samples...
La Asociación Chilena de Reconocimiento de Patrones (ACHIRP) es una sociedad científica sin fines de lucro que está asociada a la International Association for Pattern Recognition (IAPR). En esta presentación se expondrá brevemente los objetivos de la ACHIRP, una descripción de los eventos que organizamos, los beneficios de pertenecer a nuestra comunidad y como unirse a nuestra sociedad....
Malware is a sophisticated, malicious, and sometimes unidentifiable application on the network. The classifying network traffic method using machine learning shows to perform well in detecting malware. In the literature, it is reported that this good performance can depend on a reduced set of network features. This study presents the evaluation of two statistical methods of reduction and...
En la presentación se mostrará el trabajo realizado en la aplicación de las primeras 5 fases del modelo de proceso CRISP-DM, sobre la problemática del control y monitoreo de datos operacionales en plantas de osmosis reversa. Se mostrarán detalles del proceso desarrollado, junto con los problemas y soluciones encontradas.
Durante los últimos años las personas han demostrado tener una mayor preocupación sobre su dieta alimentaria, ya sea para prevenir enfermedades, para tratamientos médicos u otros. En comidas servidas en restaurantes, colegios o comedores públicos no es fácil identificar los ingredientes y/o información nutricional contenida en estas. Actualmente existen soluciones tecnológicas basadas en...
This work focuses on studying the relationship that existed between the use of the learning management system (LMS) and the academic performance of the students of the Jorge Basadre Grohmann National University of Tacna-Perú. For this, we use the data provided by the LMS (access virtual classroom) and the university's academic management system (grades). For that, we perform various...
Facing the criticality of the COVID 19 pandemic, we propose an artificial intelligence system with a modern approach detecting people and their social distancing in crowded places using thermal images obtained from the DJI Mavic 2 Enterprise Dual drone. We implement an algorithm that analyzes two types of images: color and thermal, to measure the distance between people. We used the Fast R-CNN...
