Examinar por departamento (cas.) "Ciencia de la computación e inteligencia artificial"
Now showing items 21-40 of 257
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Advances in flexible manipulation through the application of AI-based techniques
(2023-03-21)Objektuak hartu eta uztea oinarrizko bi eragiketa dira ia edozein aplikazio robotikotan. Gaur egun, "pick and place" aplikazioetarako erabiltzen diren robot industrialek zeregin sinpleak eta errepikakorrak egiteko duten ... -
Advances in Streaming Novelty Detection
(2022-10-07)En primer lugar, en esta tesis se aborda un problema de confusión entre términos y problemas en el cual el mismo término es utilizado para referirse a diferentes problemas y, de manera similar, el mismo problema es llamado ... -
Advances towards behaviour-based indoor robotic exploration
(Servicio Editorial de la Universidad del País Vasco/Euskal Herriko Unibertsitatearen Argitalpen Zerbitzua, 2011-09-05)The main contributions of this research work remain in object recognition by computer vision, by one side, and in robot localisation and mapping by the other. The first contribution area of the research address object ... -
Affordance-Based Grasping Point Detection Using Graph Convolutional Networks for Industrial Bin-Picking Applications
(MDPI, 2021-01-26)Grasping point detection has traditionally been a core robotic and computer vision problem. In recent years, deep learning based methods have been widely used to predict grasping points, and have shown strong generalization ... -
An Agave Counting Methodology Based on Mathematical Morphology and Images Acquired through Unmanned Aerial Vehicles
(MDPI, 2020-11-02)Blue agave is an important commercial crop in Mexico, and it is the main source of the traditional mexican beverage known as tequila. The variety of blue agave crop known as Tequilana Weber is a crucial element for tequila ... -
An ongoing review of speech emotion recognition
(Elsevier, 2023-04)User emotional status recognition is becoming a key feature in advanced Human Computer Interfaces (HCI). A key source of emotional information is the spoken expression, which may be part of the interaction between the human ... -
An R package for permutations, Mallows and Generalized Mallows models
(2014-01-22)[EN]Probability models on permutations associate a probability value to each of the permutations on n items. This paper considers two popular probability models, the Mallows model and the Generalized Mallows model. We ... -
Analysis of dominant classes in universal adversarial perturbations
(Elsevier, 2022-01)The reasons why Deep Neural Networks are susceptible to being fooled by adversarial examples remains an open discussion. Indeed, many different strategies can be employed to efficiently generate adversarial attacks, some ... -
Analysis of Spanish text-thesaurus as a complex network
(2014-02-06)[EN]Based on the theoretical tools of Complex Networks, this work provides a basic descriptive study of a synonyms dictionary, the Spanish Open Thesaurus represented as a graph. We study the main structural measures of the ... -
Analysis of the Sensitivity of the End-Of-Turn Detection Task to Errors Generated by the Automatic Speech Recognition Process
(Elsevier, 2021-04)An End-Of-Turn Detection Module (EOTD-M) is an essential component of automatic Spoken Dialogue Systems. The capability of correctly detecting whether a user?s utterance has ended or not improves the accuracy in interpreting ... -
Analyzing limits of effectiveness in different implementations of estimation of distribution algorithms
(2011)Conducting research in order to know the range of problems in which a search algorithm is effective constitutes a fundamental issue to understand the algorithm and to continue the development of new techniques. In this ... -
Aplicacion de modelos matematicos para el mantenimiento predictivo
(2020-10-22)La presente memoria de tesis presenta una revisión sobre la actividad de investigación aplicada que se ha realizado mediante varios proyectos relacionados con el mantenimiento predictivo asociado a procesos industriales. ... -
Application of machine learning techniques to weather forecasting
(2019-02-11)El pronóstico del tiempo es, incluso hoy en día, una actividad realizada principalmente por humanos. Si bien las simulaciones por computadora desempeñan un papel importante en el modelado del estado y la evolución de la ... -
Application-driven visual computing towards industry 4.0 2018
(2018-10-05)La Tesis recoge contribuciones en tres campos: 1. Agentes Virtuales Interactivos: autónomos, modulares, escalables, ubicuos y atractivos para el usuario. Estos IVA pueden interactuar con los usuarios de manera natural.2. ... -
Applying Deep Learning Techniques for Sentiment Analysis to Assess Sustainable Transport
(MDPI, 2021-02-23)Users voluntarily generate large amounts of textual content by expressing their opinions, in social media and specialized portals, on every possible issue, including transport and sustainability. In this work we have ... -
Approaching Sentiment Analysis by Using Semi-supervised Learning of Multidimensional Classifiers
(2011)Sentiment Analysis is defined as the computational study of opinions, sentiments and emotions expressed in text. Within this broad field, most of the work has been focused on either Sentiment Polarity classification, ... -
Are the statistical tests the best way to deal with the biomarker selection problem?
(Springer, 2022-06)Statistical tests are a powerful set of tools when applied correctly, but unfortunately the extended misuse of them has caused great concern. Among many other applications, they are used in the detection of biomarkers so ... -
Artificial intelligence for advanced manufacturing quality
(2023-02-09)This Thesis addresses the challenge of AI-based image quality control systems applied to manufacturing industry, aiming to improve this field through the use of advanced techniques for data acquisition and processing, in ... -
Automatic feedback and assessment of team-coding assignments in a DevOps context
(Springer, 2023)We describe an automated assessment process for team-coding assignments based on DevOps best practices. This system and methodology includes the definition of Team Performance Metrics measuring properties of the software ... -
Behavioral Activity Recognition Based on Gaze Ethograms
(World Scientific Publishing, 2020-07)Noninvasive behavior observation techniques allow more natural human behavior assessment experiments with higher ecological validity. We propose the use of gaze ethograms in the context of user interaction with a computer ...