Listar GI-LIDIA - Congresos, conferencias, etc. por título
Mostrando ítems 1-20 de 27
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A classification and review of tools for developing and interacting with machine learning systems
(Association for Computing Machinery, 2022)[Abstract] In this paper we aim to bring some order to the myriad of tools that have emerged in the field of Artificial Intelligence (AI), focusing on the field of Machine Learning (ML). For this purpose, we suggest a ... -
A computational system for the Heuristic Forecasting of Fire Risk
(International Institute of Informatics and Systemics, 2002-07)This article describes a computational system which forecasts the potential risk of forest fires, by processing a set of meteorological variables so as to produce a fire weather risk index. The system also studies a set ... -
A convolutional network for the classification of sleep stages
(M D P I AG, 2018-09-14)[Abstract] The classification of sleep stages is a crucial task in the context of sleep medicine. It involves the analysis of multiple signals thus being tedious and complex. Even for a trained physician scoring a whole ... -
A Machine Learning Solution for Distributed Environments and Edge Computing
(MDPI AG, 2019-08-09)[Abstract] In a society in which information is a cornerstone the exploding of data is crucial. Thinking of the Internet of Things, we need systems able to learn from massive data and, at the same time, being inexpensive ... -
Adaptive Real-Time Method for Anomaly Detection Using Machine Learning
(MDPI AG, 2020-08-20)[Abstract] Anomaly detection is a sub-area of machine learning that deals with the development of methods to distinguish among normal and anomalous data. Due to the frequent use of anomaly-detection systems in monitoring ... -
An Agent-Based Model to Simulate the Spread of a Virus Based on Social Behavior and Containment Measures
(MDPI AG, 2020-08-20)[Abstract] COVID-19 has brought a new normality in society. However, to avoid the situation, the virus must be stopped. There are several ways in which the governments of the world have taken action, from small measures ... -
An Intelligent and Collaborative Multiagent System in a 3D Environment
(MDPI AG, 2020-08-21)[Abstract] Multiagent systems (MASs) allow facing complex, heterogeneous, distributed problems difficult to solve by only one software agent. The world of video games provides problems and suitable environments for the use ... -
Anomaly Detection in IoT: Methods, Techniques and Tools
(MDPI AG, 2019-07-22)[Abstract] Nowadays, the Internet of things (IoT) network, as system of interrelated computing devices with the ability to transfer data over a network, is present in many scenarios of everyday life. Understanding how ... -
Automatic detection of EEG arousals
(ESANN, 2016-04-27)[Abstract] Fragmented sleep is commonly caused by arousals that can be detected with the observation of electroencephalographic (EEG) signals. As this is a time consuming task, automatization processes are required. ... -
Case Study of Anomaly Detection and Quality Control of Energy Efficiency and Hygrothermal Comfort in Buildings
(2019)[Abstract] The aim of this work is to propose different statistical and machine learning methodologies for identifying anomalies and control the quality of energy efficiency and hygrothermal comfort in buildings. ... -
Efecto de la evaluación docente por COVID-19. Influencia en los resultados académicos en titulaciones y materias con diferente número de alumnos
(Asociación de Enseñantes Universitarios de la Informática (AENUI), 2021)[Resumen]: El estado de alarma causado por el COVID-19 ha propiciado una situación sin precedentes en el ámbito universitario que ha afectado a todos sus estamentos. Desde el punto de vista docente, la suspensión de las ... -
Feature Selection in Big Image Datasets
(MDPI AG, 2020-08-24)[Abstract] In computer vision, current feature extraction techniques generate high dimensional data. Both convolutional neural networks and traditional approaches like keypoint detectors are used as extractors of high-level ... -
Feature Selection With Limited Bit Depth Mutual Information for Embedded Systems
(MDPI AG, 2018-09-17)[Abstract] Data is growing at an unprecedented pace. With the variety, speed and volume of data flowing through networks and databases, newer approaches based on machine learning are required. But what is really big in Big ... -
Gamifying Machine Teaching: Human-in-the-Loop Approach for Diphthong and Hiatus Identification in Spanish Language
(Elsevier B.V., 2023)[Abstract]: Human-in-the-Loop Machine Learning (HITL-ML) is a set of techniques that attempt to actively involve experts into the learning loop of machine learning (ML) models. One of these techniques is Machine Teaching ... -
GenEs: una plataforma para la generación, realización y evaluación de exámenes
(Thomson-Paraninfo, 2006)Este artículo describe una herramienta de entorno web que asiste al profesor en la tarea completa de la evaluación: desde la fase de composición del examen, seleccionando aleatoriamente un conjunto representativo de ... -
Improving Medical Data Annotation Including Humans in the Machine Learning Loop
(MDPI, 2021)[Abstract] At present, the great majority of Artificial Intelligence (AI) systems require the participation of humans in their development, tuning, and maintenance. Particularly, Machine Learning (ML) systems could greatly ... -
Integrating Iterative Machine Teaching and Active Learning into the Machine Learning Loop
(Elsevier, 2021)[Abstract] Scholars and practitioners are defining new types of interactions between humans and machine learning algorithms that we can group under the umbrella term of Human-in-the-Loop Machine Learning (HITL-ML). This ... -
Interpretable market segmentation on high dimension data
(M D P I AG, 2018-09-17)[Abstract] Obtaining relevant information from the vast amount of data generated by interactions in a market or, in general, from a dyadic dataset, is a broad problem of great interest both for industry and academia. Also, ... -
Introducción a la representación del conocimiento y el razonamiento en educación pre-universitaria mediante una actividad STEM
(Asociación de Enseñantes Universitarios de la Informática (AENUI), 2022)[Resumen]: Este trabajo presenta un recurso docente de acceso libre, orientado a estudiantes de últimos años de secundaria o bachillerato, centrado en el ámbito de la enseñanza de la Inteligencia Artificial (IA) preuniversitaria. ... -
Mejora de la motivación del alumnado mediante la realización de un debate en la materia de Sistemas Inteligentes
(Asociación de Enseñantes Universitarios de la Informática (AENUI), 2018)[Resumen]: En nuestra asignatura “Sistemas Inteligentes” del Grado en Ingeniería Informática de la Universidad da Coruña existe una brecha entre los contenidos que se imparten (más teóricos y sentando las bases de la ...
