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Survey on virtual coaching for older adults
(Sage, 2020-12)
Virtual coaching has emerged as a promising solution to extend independent living for older adults. A virtual coach system is an always-attentive personalized system that continuously monitors user's activity and surroundings ...
Expressing Robot Personality through Talking Body Language
(MDPI, 2021-05-19)
Social robots must master the nuances of human communication as a mean to convey an effective message and generate trust. It is well-known that non-verbal cues are very important in human interactions, and therefore a ...
Personal Guides: Heterogeneous Robots Sharing Personal Tours in Multi-Floor Environments
(MDPI, 2020-04-27)
GidaBot is an application designed to setup and run a heterogeneous team of robots to act as tour guides in multi-floor buildings. Although the tours can go through several floors, the robots can only service a single ...
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 ...
Tool-Path Problem in Direct Energy Deposition Metal-Additive Manufacturing: Sequence Strategy Generation
(IEEE, 2020)
The tool-path problem has been extensively studied in manufacturing technologies, as it has a considerable impact on production time. Additive manufacturing is one of these technologies; it takes time to fabricate parts, ...
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 ...
A Review of Estimation of Distribution Algorithms in Bioinformatics
(Biomed Central, 2008-09-11)
Evolutionary search algorithms have become an essential asset in the algorithmic toolbox for solving high-dimensional optimization problems in across a broad range of bioinformatics problems. Genetic algorithms, the most ...
Evolving Gaussian process kernels from elementary mathematical expressions for time series extrapolation
(Elsevier, 2021-10-28)
[EN]Choosing the best kernel is crucial in many Machine Learning applications. Gaussian Processes are a state-of-the-art technique for regression and classification that heavily relies on a kernel function. However, in the ...
On the human evaluation of universal audio adversarial perturbations
(Elsevier, 2022-01)
[EN] Human-machine interaction is increasingly dependent on speech communication, mainly due to the remarkable performance of Machine Learning models in speech recognition tasks. However, these models can be fooled by ...
Towards Smart Data Selection from Tithe Series Using Statistical Methods
(IEEE-Institute of Electrical and Electronics Engineers, 2021)
Transmitting and storing large volumes of dynamic / time series data collected by modern sensors can represent a significant technological challenge. A possibility to mitigate this challenge is to effectively select a ...