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61

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: ....

000 - Ciencias de la com... información y obras gene... Inteligencia Artificial Nivel Industrial Vida cotidiana Machine learning …
Dissertation
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63

Best Books Ever Dataset
Lorena Casanova Lozano ; Sergio Costa Planells

books goodreads machine learning deep learning data mining
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64

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 ....

Sistema de apoyo a decis... CDSS Triage Clasificación de pacient... Servicio de urgencias Arquitectura de software …
Dissertation
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65

Capturing mood dynamics through adolescent smartphone social communication.
Li, Lilian Y. ; Trivedi, Esha ; Helgren, Fiona ; 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

Fachzeitschrift
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67

Predicción demanda eléctrica española. Implementación de redes neuronales recurrentes en Python
Rosa Pérez, Elena ; Liberatore, Federico ; Cabezón, Manchado ; et al.

E-Ressource
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68

Suicidal thoughts and behaviors are associated with an increased decision-making bias for active responses to escape aversive states.
Millner, Alexander J. ; den Ouden, Hanneke E. M. ; Gershman, Samuel J. ; et al.
Journal of Psychopathology and Clinical Science; The Journal of Abnormal and Social Psychology; The Journal of Abnormal Psychology; The Journal of Abnormal Psychology and Social Psychology

Fachzeitschrift
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69

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

Fachzeitschrift
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70

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

Fachzeitschrift
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74

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

Fachzeitschrift
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75

Acceptability and feasibility of a new-generation alcohol biosensor: A mixed methods evaluation in a large community sample.
Murgia, Silvia ; Fairbairn, Catharine E. ; Barnett, Nancy P. ; et al.
Exp Clin Psychopharmacol

Fachzeitschrift
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76

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

Fachzeitschrift
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77

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

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79

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

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80

Test–retest reliability of computational parameters versus manifest behavior for decisional flexibility in psychosis.
Kalender, Güldamla ; Olsen, Sarah T. ; Patzelt, Edward H. ; et al.
Psychological Assessment: A Journal of Consulting and Clinical Psychology

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