28 Result(s)
within
María N. Moreno-García
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Chapter and Conference Paper
Object Detection Through Computer Vision
This research work is focused on the field of object detection through computer vision, focusing on a very popular topic nowadays, smart cities. Therefore, a proposal is presented, after evaluating the differe...
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Chapter and Conference Paper
Sentiment Analysis for Vietnamese – Based Hybrid Deep Learning Models
Sentiment analysis of public opinion expressed in social networks has been developed into various applications, especially in English. Hybrid approaches are potential models for reducing sentiment errors on in...
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Chapter and Conference Paper
Use of YOLOv4 and Yolov4Tiny for Intelligent Vehicle Detection in Smart City Environments
One of the biggest problems in cities today is the significant increase in the number of motor vehicles. Intelligent traffic control is a fundamental part of controlling city travel. To achieve this goal, it i...
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Chapter and Conference Paper
Van Trip Design System Based on Route Optimisation and an Innovative Cold-Start Solution for POI Recommender Systems
The pandemic caused by COVID-19 in 2020 has drastically changed people’s lifestyles and habits, especially in the area of tourism. This situation led people to consider a new way of travelling, one that focuse...
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Chapter and Conference Paper
Estimating Time Lost on Semaphores with Deep Learning
Traffic flow congestion is a very present problem on the daily life of citizens of big cities. Furthermore, it is growing by the day because of the increase of population. Furthermore, it has undesirable conse...
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Chapter and Conference Paper
Group Recommender Systems in the Music Domain: A Systematic Literature Review
Nowadays music for groups is consumed in both virtual and physical environments. Recommender systems focused on this domain have mostly focused on individual recommendation, although there are also approaches ...
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Chapter and Conference Paper
Song Recommender System Based on Emotional Aspects and Social Relations
Music streaming services have opened the possibility of accessing huge quantities of songs and more sophisticated data can be utilized by recommender systems to improve their performance. Some recommendation m...
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Chapter and Conference Paper
David – A Novel Approach to an Industrial Recommender System
A conceptual approach to a recommender system that is industrial oriented and optimized for business-to-business. With particular needs, industrial datasets seek assertiveness and contextualization to capitali...
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Chapter and Conference Paper
Context-Aware Music Recommender System Based on Automatic Detection of the User’s Physical Activity
The large amount of music that can be accessed in streaming nowadays has led to the development of more reliable music recommendation systems. To this end, context-aware music recommendation systems, capable o...
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Chapter and Conference Paper
Developments on Support Vector Machines for Multiple-Expert Learning
In supervised learning scenarios, some applications require solve a classification problem wherein labels are not given as a single ground truth. Instead, the criteria of a set of experts is used to provide la...
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Article
Hybrid system for video game recommendation based on implicit ratings and social networks
The digital entertainment sector is one of the fastest growing in recent years. In the case of video games, the productions of some of the most popular titles are on a par with film productions. The sale of vi...
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Chapter and Conference Paper
Social Influence-Based Similarity Measures for User-User Collaborative Filtering Applied to Music Recommendation
Social characteristics present in current music streaming services allow to use methods for endowing these systems with more reliable recommendation functionalities. There are many proposals in the literature ...
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Chapter and Conference Paper
Moodsically. Personal Music Management Tool with Automatic Classification of Emotions
It is a fact that music is directly linked to emotions. Various researches study the link between musical characteristics and the feeling produced or even induced. This work shows a web tool that allows the a...
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Chapter and Conference Paper
Recommendation of Songs in Music Streaming Services: Dealing with Sparsity and Gray Sheep Problems
The interest for providing users with suitable recommendations of songs and playlists has increased since online services for listening to music have become popular. Many methods for achieving this objective h...
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Chapter and Conference Paper
Inferring User Expertise from Social Tagging in Music Recommender Systems for Streaming Services
Suppliers of music streaming services are showing an increasing interest for providing users with reliable personalized recommendations since their practically unlimited offerings make it difficult for users t...
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Article
Multiclassifier Systems for Predicting Neurological Outcome of Patients with Severe Trauma and Polytrauma in Intensive Care Units
This paper presents an ensemble based classification proposal for predicting neurological outcome of severely traumatized patients. The study comprises both the whole group of patients and a subgroup containin...
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Chapter and Conference Paper
Simulation of a Directional Process by Means of an Anisotropic Buffer Operator
Geographic information systems have usually implemented a module that allows areas to be delimited by an isotropic buffer. In this kind of buffer, the generating polygon is a circle, which implies a constant d...
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Chapter and Conference Paper
Random Forest Based Ensemble Classifiers for Predicting Healthcare-Associated Infections in Intensive Care Units
Surveillance and prevention of infections acquired in the hospital environment is an important challenge in the current health systems given the great impact of these kind of infections on patient mortality as...
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Chapter and Conference Paper
Machine Learning Methods for Mortality Prediction of Polytraumatized Patients in Intensive Care Units – Dealing with Imbalanced and High-Dimensional Data
The aim of this study is the prediction of death of polytraumatized patients based on epidemiological, clinical and health treatment variables by means of data-mining methods. The main problems to be addressed...
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Chapter and Conference Paper
RESTful Triple Space Management of Cloud Architectures
In this paper we present a job coordination service for distributed applications being executed in a Hadoop cluster based on the use of a RDF backed triple space and a RESTful web services interface. The syste...
