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Using Automatic Speech Recognition to Optimize Hearing-Aid Time Constants
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In: ISSN: 1662-4548 ; EISSN: 1662-453X ; Frontiers in Neuroscience ; https://hal.archives-ouvertes.fr/hal-03627441 ; Frontiers in Neuroscience, Frontiers, 2022, 16 (779062), ⟨10.3389/fnins.2022.779062⟩ ; https://www.frontiersin.org/articles/10.3389/fnins.2022.779062/full (2022)
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| 2 |
On the recognitionality of references to time in social interaction
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| 3 |
Hippocampal ensembles represent sequential relationships among an extended sequence of nonspatial events.
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In: Nature communications, vol 13, iss 1 (2022)
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Mayan living ruins: The hidden places of interlocking temporalities
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In: Living Vestiges. Contemporary Native Voices on Ruins, Remnants of the Past and Cultural Heritage in Mesoamerica, Amazonia, and the Andes ; https://hal.archives-ouvertes.fr/hal-03508235 ; Erikson, Philippe; Vapnarsky, Valentina. Living Vestiges. Contemporary Native Voices on Ruins, Remnants of the Past and Cultural Heritage in Mesoamerica, Amazonia, and the Andes, University of Colorado Press, In press, Living Vestiges. Contemporary Native Voices on Ruins, Remnants of the Past and Cultural Heritage in Mesoamerica, Amazonia, and the Andes (2022)
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Voice matters. The vocal creation and manipulation of ritual temporalities
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In: Materializing Temporalities ; https://hal.archives-ouvertes.fr/hal-03508182 ; JOYCE Rosemary; JOHNSON Lisa. Materializing Temporalities, University of Colorado Press, In press (2022)
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Data and R codes for analyses on the spatial construal of TIME in Indonesian language and co-speech gestures ...
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Discriminating Bacterial Infection from Other Causes of Fever Using Body Temperature Entropy Analysis
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In: Entropy; Volume 24; Issue 4; Pages: 510 (2022)
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Abstract:
Body temperature is usually employed in clinical practice by strict binary thresholding, aiming to classify patients as having fever or not. In the last years, other approaches based on the continuous analysis of body temperature time series have emerged. These are not only based on absolute thresholds but also on patterns and temporal dynamics of these time series, thus providing promising tools for early diagnosis. The present study applies three time series entropy calculation methods (Slope Entropy, Approximate Entropy, and Sample Entropy) to body temperature records of patients with bacterial infections and other causes of fever in search of possible differences that could be exploited for automatic classification. In the comparative analysis, Slope Entropy proved to be a stable and robust method that could bring higher sensitivity to the realm of entropy tools applied in this context of clinical thermometry. This method was able to find statistically significant differences between the two classes analyzed in all experiments, with sensitivity and specificity above 70% in most cases.
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Keyword:
Approximate Entropy; body temperature; classification; fever; Sample Entropy; Slope Entropy; time series
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URL: https://doi.org/10.3390/e24040510
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| 8 |
Καταστολή ηχητικού θορύβου μέσω τεχνικών μηχανικής μάθησης ...
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«Entrevista al Dr. Darío Villanueva, académico de número de la Real Academia Española. "Sin la creación, no existe literatura, pero solo con la creación de textos tampoco hay literatura"» ...
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«Entrevista al Dr. Darío Villanueva, académico de número de la Real Academia Española. "Sin la creación, no existe literatura, pero solo con la creación de textos tampoco hay literatura"» ...
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«Entrevista al doctor Darío Villanueva. “Sin la creación, no existe literatura, pero solo con la creación de textos tampoco hay literatura”» ...
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