BIRD, BCAM's Institutional Repository Data: Envíos recientes
Now showing items 1-20 of 1705
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Characterization of rankings generated by pseudo-Boolean functions
(2024)In this paper we pursue the study of pseudo-Boolean functions as ranking generators. The objective of the work is to find new insights between the relation of the degree of a pseudo-Boolean function and the rankings ... -
Fast Computation of Cluster Validity Measures for Bregman Divergences and Benefits
(2023)Partitional clustering is one of the most relevant unsupervised learning and pattern recognition techniques. Unfortunately, one of the main drawbacks of these methodologies refer to the fact that the number of clusters is ... -
Fast K-Medoids With the l_1-Norm
(2023-07-26)K-medoids clustering is one of the most popular techniques in exploratory data analysis. The most commonly used algorithms to deal with this problem are quadratic on the number of instances, n, and usually the quality of ... -
Minimax Forward and Backward Learning of Evolving Tasks with Performance Guarantees
(2023-12)For a sequence of classification tasks that arrive over time, it is common that tasks are evolving in the sense that consecutive tasks often have a higher similarity. The incremental learning of a growing sequence of ... -
Within-host models unravelling the dynamics of dengue reinfections
(2024-02-07)Caused by four serotypes, dengue fever is a major public health concern worldwide. Current modeling efforts have mostly focused on primary and heterologous secondary infections, assuming that lifelong immunity prevents ... -
Exploring the link between coffee matrix microstructure and flow properties using combined X‐ray microtomography and smoothed particle hydrodynamics simulations
(2022-09-29)Coffee extraction involves many complex physical and transport processes extremely difficult to model. Among the many factors that will affect the final quality of coffee, the microstructure of the coffee matrix is one of ... -
Large-scale unsupervised spatio-temporal semantic analysis of vast regions from satellite images sequences
(2024)Temporal sequences of satellite images constitute a highly valuable and abundant resource for analyzing regions of interest. However, the automatic acquisition of knowledge on a large scale is a challenging task due to ... -
SilionBurmuin: A Horizon Europe propelled Neurocomputing Initiative in the Basque Country
(2023-01-01)SiliconBurmuin is aimed at creating a multi-disciplinary neurocomputing community in the Basque Country, bringing together technology and scientific research centres and industry companies. This community will: (1) identify ... -
Three-dimensional soliton-like distortions in flexoelectric nematic liquid crystals: modelling and linear analysis
(2022-01-01)This article models experimentally observed three-dimensional particle-like waves that develop in nematic liquid crystals, with negative dielectric and conductive anisotropy, when subject to an applied alternating electric ... -
Monitoring Alzheimer's disease via ultraweak photon emission
(2024-01-19)In an innovative experiment, we detected ultraweak photon emission (UPE) from the hippocampus of male rat brains and found significant correlations between Alzheimer's disease (AD), memory decline, oxidative stress, and ... -
Effects of optogenetic and visual stimulation on gamma activity in the visual cortex
(2023-11-01)Studying brain functions and activity during gamma oscillations can be a challenge because it requires careful planning to create the necessary conditions for a controlled experiment. Such an experiment consists of placing ... -
Speeding-Up Evolutionary Algorithms to Solve Black-Box Optimization Problems
(2024-01-10)Population-based evolutionary algorithms are often considered when approaching computationally expensive black-box optimization problems. They employ a selection mechanism to choose the best solutions from a given population ... -
Shape Optimization for Temperature Regulation in Extrusion Dies Using Microstructures
(2023-01-01)Plastic profile extrusion—a manufacturing process for continuous profiles with fixed cross section—requires a complex and iterative design process to prevent deformations and residual stresses in the final product. The ... -
The theory of F-rational signature
(2024) -
Adaptive multi-stage integration schemes for Hamiltonian Monte Carlo
(2024-01-26)Hamiltonian Monte Carlo (HMC) is a powerful tool for Bayesian statistical inference due to its potential to rapidly explore high dimensional state space, avoiding the random walk behavior typical of many Markov Chain Monte ... -
Nonequilibrium thermodynamics of the asymmetric Sherrington-Kirkpatrick model
(2023-12-01)Most natural systems operate far from equilibrium, displaying time-asymmetric, irreversible dynamics characterized by a positive entropy production while exchanging energy and matter with the environment. Although stochastic ... -
Revisiting Implicit and Explicit Averaging for Noisy Optimization
(2023-10-01)Explicit and implicit averaging are two well-known strategies for noisy optimization. Both strategies can counteract the disruptive effect of noise; however, a critical question remains: which one is more efficient? This ... -
Discretization-Based Feature Selection as a Bilevel Optimization Problem
(2023-08-01)Discretization-based feature selection (DBFS) approaches have shown interesting results when using several metaheuristic algorithms, such as particle swarm optimization (PSO), genetic algorithm (GA), ant colony optimization ...