Examinar INVESTIGACIÓN por departamento (eus.) "Konputazio zientziak eta adimen artifiziala"
Now showing items 41-60 of 263
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Bertso transformation with pattern-based sampling
(2015-08-07)This paper presents a method to generate new melodies, based on conserving the semiotic structure of a template piece. A pattern discovery algorithm is applied to a template piece to extract significant segments: those ... -
Bertsobot: gizaki-robot arteko komunikazio eta elkarrekintzarako portaerak
(2017-07-19)Bertsobot: Robot-Portaerak Gizaki-Robot Arteko Komunikazio eta ElkarrekintzanBertsotan aritzeko gaitasuna erakutsiko duen robot autonomoa garatzeada gure ikerketa-lanaren helburu behinena. Bere egitekoa, bertsoa ... -
Brain Mapping of Behavioral Domains Using Multi-Scale Networks and Canonical Correlation Analysis
(Frontiers Media, 2022-06)Simultaneous mapping of multiple behavioral domains into brain networks remains a major challenge. Here, we shed some light on this problem by employing a combination of machine learning, structural and functional brain ... -
Bridging Theory and Practice: An Innovative Approach to Android Programming Education through Nutritional Application Development and Problem-Based Learning
(MDPI, 2023-11-08)This study introduces an innovative Problem-Based Learning (PBL) methodology to enhance the teaching of Android programming, focusing on addressing nutritional challenges. Conducted within the Computer Science degree at ... -
Broadening the Horizon of Adversarial Attacks in Deep Learning
(2023-01-13)Los modelos de Aprendizaje Automático como las Redes Neuronales Profundas son actualmente el núcleo de una amplia gama de tecnologías aplicadas en tareas críticas, como el reconocimiento facial o la conducción autónoma, ... -
Camera perspective distortion in model-based visual localisation.
(2019-02-22)This thesis starts with a proposal for a collaborative global visual localization system. Then, it centres in a specific visual localisation problem: perspective distortion in template matching.The thesis enriches 3D point ... -
Camera Pose Optimization for 3D Mapping
(IEEE, 2023-02)Digital 3D models of environments are of great value in many applications, but the algorithms that build them autonomously are computationally expensive and require a considerable amount of time to perform this task. In ... -
Characterising the rankings produced by combinatorial optimisation problems and finding their intersections.
(Association for Computing Machinery, 2019-07)[EN] The aim of this paper is to introduce the concept of intersection between combinatorial optimisation problems. We take into account that most algorithms, in their machinery, do not consider the exact objective function ... -
Characterizing Permutation-Based Combinatorial Optimization Problems in Fourier Space
(MIT Press, 2023-09-01)[EN]Comparing combinatorial optimization problems is a difficult task. They are defined using different criteria and terms: weights, flows, distances, etc. In spite of this apparent discrepancy, on many occasions, they ... -
Chasing a Better Decision Margin for Discriminative Histopathological Breast Cancer Image Classification
(MDPI, 2023-10-20)When considering a large dataset of histopathologic breast images captured at various magnification levels, the process of distinguishing between benign and malignant cancer from these images can be time-intensive. The ... -
Classification of neocortical interneurons using affinity propagation
(Frontiers Reseach Foundation, 2013-12)In spite of over a century of research on cortical circuits, it is still unknown how many classes of cortical neurons exist. Neuronal classification has been a difficult problem because it is unclear what a neuronal cell ... -
Classifier Subset Selection to construct multi-classifiers by means of estimation of distribution algorithms
(Elsevier, 2015-01-24)This paper proposes a novel approach to select the individual classifiers to take part in a Multiple-Classifier System. Individual classifier selection is a key step in the development of multi-classifiers. Several works ... -
Cloud point labelling in optical motion capture systems
(2019-02-15)This Thesis deals with the task of point labeling involved in the overall workflow of Optical Motion Capture Systems. Human motion capture by optical sensors produces at each frame snapshots of the motion as a cloud of ... -
Clustering Cities over Features Extracted from Multiple Virtual Sensors Measuring Micro-Level Activity Patterns Allows One to Discriminate Large-Scale City Characteristics
(MDPI, 2023-05-29)The impact of micro-level people’s activities on urban macro-level indicators is a complex question that has been the subject of much interest among researchers and policymakers. Transportation preferences, consumption ... -
COLAEVA: Visual Analytics and Data Mining Web-Based Tool for Virtual Coaching of Older Adult Populations
(MDPI, 2021-10-30)The global population is aging in an unprecedented manner and the challenges for improving the lives of older adults are currently both a strong priority in the political and healthcare arena. In this sense, preventive ... -
Combining Geostatistics and Remote Sensing Data to Improve Spatiotemporal Analysis of Precipitation
(MDPI, 2021-04-30)The wide availability of satellite data from many distributors in different domains of science has provided the opportunity for the development of new and improved methodologies to aid the analysis of environmental problems ... -
Communities in complex networks
(2013-01-16)The study of complex networks has attracted the attention of the scientific community for many obvious reasons. A vast number of systems, from the brain to ecosystems, power grid, and the Internet, can be represented as ... -
Community structure in real-world networks from a non-parametrical synchronization-based dynamical approach
(Elsevier, 2012-07-20)[EN]This work analyzes the problem of community structure in real-world networks based on the synchronization of nonidentical coupled chaotic Rössler oscillators each one characterized by a defined natural frequency, and ... -
Comparative assessment of synthetic time series generation approaches in healthcare: leveraging patient metadata for accurate data synthesis
(BMC, 2024)Background Synthetic data is an emerging approach for addressing legal and regulatory concerns in biomedical research that deals with personal and clinical data, whether as a single tool or through its combination with ... -