Treffer 21 - 40 von 71

BERTAgent: The development of a novel tool to quantify agency in textual data.
Nikadon, Jan ; Suitner, Caterina ; Erseghe, Tomaso ; et al.
Journal of Experimental Psychology

Signal processing and machine learning with transdermal alcohol concentration to predict natural environment alcohol consumption.
Didier, Nathan A. ; King, Andrea C. ; Polley, Eric C. ; et al.
Exp Clin Psychopharmacol

Mycelial Coherence: A Probabilistic Framework for Unified Complex Systems
Michael Warren Webb (Chris Appel, Warren Beatty, RuudJudas, Webb)

Tutorial: Artificial neural networks to analyze single-case experimental designs.
Lanovaz, Marc J. ; Bailey, Jordan D.
Psychol Methods

Diseño de la arquitectura de un sistema de apoyo a decisiones clínicas para facilitar el proceso de clasificación de urgencias hospitalarias, en el contexto de la salud en Colombia
Tabares Pérez, Luis Felipe ; Hernández Silva, Jhonatan Fernando ; Cabezas Troyano, Iván Mauricio
[1] K. V Iserson and J. C. Moskop, “Triage in Medicine, Part I: Concept, History, and Types,” Ann. Emerg. Med., vol. 49, no. 3, pp. 275–281, Jun. 2015. [2] J. Gomez, “Clasificación de pacientes en los servicios de urgencias y emergencias: Hacia un modelo de triaje estructurado de urgencias y emergencias,” Emergencias, vol. 15, pp. 165–174, 2003. [3] D. Aronsky et al., “An integrated computerized triage system in the emergency department.,” AMIA Annu. Symp. Proc., pp. 16–20, 2008. [4] O. Oakkar, “Online triage for patients: Implementing a scalable and cost-effective triage platform using expert system, machine learning and natural ....

Big Data, un caso vinícola sobre calidad y clima ; Big Data, a winery case about quality and climate
Rodríguez Coronado, Carlos Enrique
10 Most Innovative Data Science Companies in 2023. (s/f). Recuperado el 19 de agosto de 2023, de https://www.knowledgehut.com/blog/data-science/data-science-companies
43 Best Data Science MBA Programs & Data Analytics MBA. (s/f). DiscoverDataScience.Org. Recuperado el 19 de agosto de 2023, de https://www.discoverdatascience.org/programs/mba-data-science/
Bai, H., Gambetta, G. A., Wang, Y., Kong, J., Long, Q., Fan, P., Duan, W., Liang, Z., & Dai, Z. (2022). Historical long-term cultivar×climate suitability data to inform viticultural adaptation to climate change. Scientific Data, 9(1), Article 1. https://doi.org/10.1038/s41597-022-01367-6
Big Data and Agriculture: A Complete Guide. (s/f). Talend - A Leader in Data Integration & Data Integrity. Recuperado el 19 de agosto de 2023, de https://www.talend.com/resources/big-data-agriculture/
Corvain. (2022, marzo 25). Southern Hemisphere Wines: Facts and Wines from Coravin | Coravin. https://www.coravin.com/community/southern-hemisphere-wines-facts-and-wines-from-coravin
Crisp DM methodology. (s/f). Smart Vision Europe. Recuperado el 19 de agosto de 2023, de https://www.sv-europe.com/crisp-dm-methodology/
Dutta, A. (2004). Big Data Analytics Changing the Centuries-Old Wine Industry. Sommeliers Choice Awards. https://sommelierschoiceawards.com/en/blog/insights-1/big-data-analytics-changing-the-centuries-old-wine-industry-684.htm
Echeverri, L. (2019, junio 24). Part Time-Presentación Dirección de Marketing 2019.
Frick, W. (2018, enero 22). 3 Ways to Improve Your Decision Making. Harvard Business Review. https://hbr.org/2018/01/3-ways-to-improve-your-decision-making
Gambetta, G. A., & Kurtural, S. K. (2021). Global warming and wine quality: Are we close to the tipping point? OENO One, 55(3), Article 3. https://doi.org/10.20870/oeno-one.2021.55.3.4774

PYTHON MACHINE LEARNING;MACHINE LEARNING AND DEEP LEARNING WITH PYTHON, SCIKIT-LEARN, AND TENSORFLOW 2, 3RD EDITION
SEBASTIAN RASCHKA ; VAHID MIRJALIL I.
EN05CEBSCO05C1526

Ensuring user anonymity in online surveys ; Забезпечення анонімності користувачів при проведенні онлайн-опитувань
Олешко, І.В. ; Папазов, К.О.
Radiotekhnika; No. 219 (2024): Radiotekhnika; 28-35 ; Радиотехника; № 219 (2024): Радіотехніка; 28-35 ; Радіотехніка; № 219 (2024): Радіотехніка; 28-35 ; 2786-5525 ; 0485-8972

Observing scenarios simulations for HLVK-Configuration for O4 Runs, using 20 million injections. This simulation led to 17,009 BNS useful for training Parameter Estimations of EM counterparts of GW. (July 2024 edition).
R. Weizmann,, Kiendrebeogo ; orcid:0000-0002-9108- ; Michael W., Coughlin ; et al.

Bioinformatics with Python Cookbook
Antao T.

Uso de inteligencia artificial para identificar posibles errores en el pintado de piezas
Archila Atehortúa, Cristian ; Posada Acosta, Simón ; Hernández Marulanda, Andrés Felipe
Y. Ben Salem y M. N. Abdelkrim, «Texture classification of fabric defects using machine learning», International Journal of Electrical and Computer Engineering, vol. 10, n.° 4, págs. 4390-4399, 2020, ISSN: 20888708. DOI:10.11591/ijece.v10i4.pp4390-4399. ; B. Ngendangenzwa, «Defect detection and classification on painted specular surfaces», 2017. dirección: https://umu.diva-portal.org/smash/get/diva2:1193907/FULLTEXT01.pdf. ; L. Armesto, J. Tornero, A. Herraez y J. Asensio, «ICRA Communications Inspection System Basedon Artificial Vision for Paint Defects Detection on Cars Bodies», págs. 3-6, 2011. ; R. McBride, «Human-Like Implemented A.I. and Human Problem-Solving A.I.», International Journal of Business, Humanities and Technology, vol. 9, n.° 3, págs. 1-10, 2019, 21621357. DOI: ....

Temporal dynamics of meta-awareness of mind wandering during lecture viewing: Implications for learning and automated assessment using machine learning.
Bühler, Babette ; Bozkir, Efe ; Goldberg, Patricia ; et al.
J Educ Psychol

Leveraging natural language processing to enhance feedback-informed group therapy: A proof of concept.
Kivlighan, Martin ; Stremmel, Joel ; Wang, Kun ; et al.
Psychotherapy: Theory, Research & Practice; Psychotherapy: Theory, Research, Practice, Training

Same Day Service (SDS)
Molina Molina, Margarita ; Sánchez, Daniela ; Barajas, Juan Felipe
Arrieta, E. (2023). Definición de remitente y destinatario. diferenciador.com. https://www.diferenciador.com/remitente-y-destinatario/ ; Atlassian. (2023). Scrum: Qué es, cómo funciona y por qué es excelente. https://www.atlassian.com/es/agile/scrum ; da Silva, D. (2022). Ticket de soporte técnico: Definición y funciones. Blog Zendesk. https://www.zendesk.com.mx/blog/ticket-de-soporte-tecnico/ ; Funcion Pública. (s. f.). Acuerdo de Nivel de Servicio (ANS)—Glosario. funcionpublica.gov.co. Recuperado 16 de mayo de 2023, de https://www.funcionpublica.gov.co/glosario/-/wiki/26415658/Acuerdo%20de%20Nivel%20de%20Servicio%20(ANS) ; Garrido, A. C. (s. f.). Uso de algoritmos de aprendizaje máquina para la clasificación de tráfico de red. ; Gelbukh, A., Castro, F. H. C., & Sánchez, M. G. S. (2020). Detección de humor en tweets en español utilizando ....

Use of passively collected actigraphy data to detect individual depressive symptoms in a clinical subpopulation and a general population.
Price, George D. ; Collins, Amanda C. ; Mackin, Daniel M. ; et al.
Journal of Abnormal Psychology; The Journal of Abnormal and Social Psychology; The Journal of Abnormal Psychology; The Journal of Abnormal Psychology and Social Psychology

Population-level transitions in observed difficulties through childhood and adolescence.
Benhamou, Elia ; Akarca, Danyal ; Bathelt, Joe ; et al.
Dev Psychol

Free association in a neural network.
Richie, Russell ; Aka, Ada ; Bhatia, Sudeep
Psychol Rev

An automated, unobtrusive, formative assessment of creativity in a computer science and music remixing learning environment.
Rahimi, Seyedahmad ; Smith, Jason Brent ; Truesdell, Erin J. K. ; et al.
Psychol Aesthet Creat Arts

Using topic models to identify clients’ functioning levels and alliance ruptures in psychotherapy.
Atzil-Slonim, Dana ; Juravski, Daniel ; Bar-Kalifa, Eran ; et al.
Psychotherapy: Theory, Research & Practice; Psychotherapy: Theory, Research, Practice, Training

Causal relationships in longitudinal observational data: An integrative modeling approach.
Biazoli, Claudinei E., Jr. ; Sato, João R. ; Pluess, Michael
Psychol Methods