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Cross-lingual few-shot hate speech and offensive language detection using meta learning
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In: ISSN: 2169-3536 ; EISSN: 2169-3536 ; IEEE Access ; https://hal.archives-ouvertes.fr/hal-03559484 ; IEEE Access, IEEE, 2022, 10, pp.14880-14896. ⟨10.1109/ACCESS.2022.3147588⟩ (2022)
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FAIRsharing record for: General Ontology for Linguistic Description ... : GOLD ...
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Unsupervised quantification of entity consistency between photos and text in real-world news ...
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Müller-Budack, Eric. - : Hannover : Institutionelles Repositorium der Leibniz Universität Hannover, 2022
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EMBEDDIA tools output example corpus of Estonian, Croatian and Latvian news articles 1.0
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О ЛЕКСИКО-ГРАММАТИЧЕСКИХ РАЗРЯДАХ ИМЕН СУЩЕСТВИТЕЛЬНЫХ В ТАБАСАРАНСКОМ ЯЗЫКЕ ... : ABOUT LEXICAL AND GRAMMATICAL CATEGORIES OF NOUNS IN THE TABASARAN LANGUAGE ...
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Mining an English-Chinese parallel Dataset of Financial News
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In: Journal of Open Humanities Data; Vol 8 (2022); 9 ; 2059-481X (2022)
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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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The Multilingual Pragmatics of New Englishes: An Analysis of Question Tags in Nigerian English
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The phonetics and phonology of Hong Kong English: a study of fricatives
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Code: Drift in a Popular Metal Oxide Sensor Dataset Reveals Limitations for Gas Classification Benchmarks ...
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Code: Drift in a Popular Metal Oxide Sensor Dataset Reveals Limitations for Gas Classification Benchmarks ...
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Addressing multilingualism in the GoTriple discovery platform ...
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Addressing multilingualism in the GoTriple discovery platform ...
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The Terms of “You(s)”: How the Term of Address Used by Conversational Agents Influences User Evaluations in French and German Linguaculture ...
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'Muscles of mussels' and 'hooks of bananas' - the (incipient) numeral classifier system of Ugare (Tivoid, Cameroon/Nigeria) ...
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Towards reconstructing a Proto-Tivoid numeral classifier system ...
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Measuring Semantic Similarity of Documents by Using Named Entity Recognition Methods
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In: Masters (2022)
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