Clustering algorithms have proven to be a useful tool to extract knowledge and support
decision making by processing large volumes of data. Hard and fuzzy clustering algorithms …

Abstract Dynamic Time Warping (DTW) is a widely used distance measure in the field of time
series data mining. However, calculation of DTW scores is compute-intensive since the …

Ethereum is one of the first blockchains executing smart contracts, ie, financial applications
directly executed on the ledger using a virtual machine. High transaction volumes caused by …

Despite decades of research, effective treatments for most cancers remain elusive. One
reason is that different instances of cancer result from different combinations of multiple …

Calibration of a microsimulation model (MSM) is a challenging but crucial step for the
development of a valid model. Numerous calibration methods for MSMs have been …

Hesitant fuzzy information allows clustering data with multiple possible membership values
for a single item in a reference set. Hesitant fuzzy sets have been applied in many decision …

This dissertation is framed on the ongoing research project BoostDFO-Improving the
performance and moving to newer dimensions in Derivative-Free Optimization. The final …

Bigger systems are being deployed by High Performance Computing centers in order to
fulfill the needs of modern scientific and big data applications as well as to match the …

Entre las distintas áreas de la Inteligencia Artificial se encuentra el Reconocimiento de
Patrones y la Visión por Computadora, que se han beneficiado utilizando los métodos de …

Physical limitations in processor design have made computer industry since 2005 shift from
improving the speed of a single processor to increasing the number of processing core units …