A Validation Framework for ARP Similarity Measure (2021)

Abstract In the last years, a wide range of new similarity measures has been designed and applied to different contexts. Currently, there’s a deep lack in the validation and evaluation steps for novel similarities. In general, new measures are validated mostly through numerical experiments using different data sets. But this is not enough, as…

Towards Smart Edutainment Applications for Young Children. A Proposal (2021)

Abstract Education, like the large majority of domains, has been impacted by the rapid development of communications and technology. What was perceived before as an ideal, i.e., the enhancement of the learning process through modern techniques, now it has been rapidly transformed into a mandatory requirement due to the current COVID-19 pandemic . Edutainment…

Detecting Communities in Networks: a Decentralized Approach Based on Multiagent Reinforcement Learning (2020)

Abstract An important problem in network science is finding relevant community structures in complex networks. A community structure is a partition of the network nodes into clusters or modules, such that each cluster is densely connected. Current community detection algorithms have time complexity, centralization, and scalability issues. In this paper, to solve this problem,…

Autonomous on-wrist acceleration-based fall detection systems: unsolved challenges (2021)

Abstract Fall detection (FD) has been the focus of many research studies during the last years. Developing reliable FD systems is relevant, for instance, to provide support to the elderly population in their everyday life. Besides, the generalization of the use of wearable devices (and more specifically, on-wrist devices) to measure the daily activity strongly suggests…