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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 14 of 14 1 Innovative Vineyards Environmental Monitoring System Using Deep Edge AI Coppola, Marcello; Noaille, Louis; Pierlot, Clément... In: Artificial Intelligence for Digitising Industry Applications ; https://hal.univ-reims.fr/hal-03355270 ; Artificial Intelligence for Digitising Industry Applications, River Publishers, pp.261-278, 2021, 9788770226646 ; https://www.riverpublishers.com/research_details.php?book_id=967 (2021) BASE Show details 2 Privacy-Preserving Prediction of Victim's Mortality and Their Need for Transportation to Health Facilities Hwang Arcolezi, Héber; Cerna Nahuis, Selene Leya; Couchot, Jean-François... In: IEEE Transactions on Industrial Informatics ; https://hal.archives-ouvertes.fr/hal-03456142 ; IEEE Transactions on Industrial Informatics, 2021, 14 (30), pp.1 (2021) BASE Show details 3 Comparison of Cluster Analysis Methodologies for Characterization of Classroom Observation Protocol for Undergraduate STEM (COPUS) Data. Denaro, Kameryn; Sato, Brian; Harlow, Ashley; Aebersold, Andrea; Verma, Mayank In: CBE life sciences education, vol 20, iss 1 (2021) Abstract: The Classroom Observation Protocol for Undergraduate STEM (COPUS) provides descriptive feedback to instructors by capturing student and instructor behaviors occurring in the classroom. Due to the increasing prevalence of COPUS data collection, it is important to recognize how researchers determine whether groups of courses or instructors have unique classroom characteristics. One approach uses cluster analysis, highlighted by a recently developed tool, the COPUS Analyzer, that enables the characterization of COPUS data into one of seven clusters representing three groups of instructional styles (didactic, interactive, and student centered). Here, we examine a novel 250 course data set and present evidence that a predictive cluster analysis tool may not be appropriate for analyzing COPUS data. We perform a de novo cluster analysis and compare results with the COPUS Analyzer output and identify several contrasting outcomes regarding course characterizations. Additionally, we present two ensemble clustering algorithms: 1) k-means and 2) partitioning around medoids. Both ensemble algorithms categorize our classroom observation data into one of two clusters: traditional lecture or active learning. Finally, we discuss implications of these findings for education research studies that leverage COPUS data. Keyword: Cluster Analysis; Curriculum and Pedagogy; Data Collection; Education; Humans; Problem-Based Learning; Students URL: https://escholarship.org/uc/item/3dg054hd BASE Hide details 4 Stiffness and articulatory overlap in Moroccan Arabic consonant clusters Roon, Kevin D.; Hoole, Philip; Zeroual, Chakir... In: Laboratory Phonology: Journal of the Association for Laboratory Phonology; Vol 12, No 1 (2021); 8 ; 1868-6354 (2021) BASE Show details 5 WALS Online Resources for Hmong Njua : Max Planck Institute for Evolutionary Anthropology, 2021 BASE Show details 6 Glottolog 4.4 Resources for Chuanqiandian Cluster Miao : Max Planck Institute for Evolutionary Anthropology, 2021 BASE Show details 7 Thermal entropy based hesitant fuzzy linguistic term set analysis in energy efficient opportunistic clustering ... Anees, Junaid; Zhang, Hao-Chun. - : arXiv, 2021 BASE Show details 8 Text Mining and Sentiment Analysis of Newspaper Headlines Arafat Hossain; Md. Karimuzzaman; Md. Moyazzem Hossain... In: Information ; Volume 12 ; Issue 10 (2021) BASE Show details 9 Hmong Dialect Intelligibility in Southeastern Yunnan: An Analysis of Which Hmong Lects Are Most Understood and Accepted Castro, Andy; Flaming, Royce. - : SIL International, 2021 BASE Show details 10 Le cadrage des débats linguistiques dans la presse anglophone et francophone au Québec : un clivage médiatique? : analyse de la couverture du projet de loi 14 Zschalich, Florian. - 2021 BASE Show details 11 Hate speech targets in COVID-19 related comments on Ukrainian news websites Melnyk, Lidiia. - : Universitat Politècnica de València, 2021 BASE Show details 12 Social Media Text Analytics: An Application to Prescription Opioids-Related Conversations Rahafrooz, Maryam In: Graduate Doctoral Dissertations (2021) BASE Show details 13 The different ways to write publishable research articles: An exploration using automated language processing tools Weiyu Zhang; Yin Ling Cheung In: Ibérica, Vol 40, Iss 1, Pp 171-194 (2021) (2021) BASE Show details 14 A Comparative Corpus-Based Content Analysis of Head of Government Addresses in Response to the Covid-19 Pandemic: Japan and Western Countries Nagisa Moritoki Škof In: Acta Linguistica Asiatica, Vol 11, Iss 2 (2021) (2021) BASE Show details

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