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Mostrando ítems 1704-1723 de 14266

    • La autoevaluación en estudiantes de edades tempranas 

      Lara Catalán, Marcela (Revista Española de Pedagogía, 30/09/2015)
      Se estudiaron los procesos de autoevaluación que desarrollan estudiantes de edades tempranas. En un análisis preferentemente cuantitativo, se examinó la relación de las dimensiones autoeficacia, autoestima, autorregulación, ...

    • Autoevaluación formativa y mejora del aprendizaje con herramientas digitales 

      Romero García, Carmen; Mosquera Gende, Ingrid; Sánchez-Prieto, Javier; Tizón Díaz, Manuel (Dykinson, 2021)
      El aprendizaje de estrategias y herramientas de programación en entornos educativos contribuye al desarrollo de capacidades transversales, como el pensamiento analítico y lógico-matemático, la resolución de problemas y ...

    • La autoevaluación para facilitar el aprendizaje en el máster de formación de profesorado 

      Ortega-Ruipérez, Beatriz (Dykinson, 2021)
      La cantidad de contenidos que hay en cada asignatura, unido a la falta de monitorización del alumnado respecto a su aprendizaje, propician que los alumnos no finalicen con todos los conocimientos necesarios para ser ...

    • Autoficción inserta: la traslación de la comedia de stand-up al género narrativo en Cómica, de Abella Cienfuegos 

      Rodríguez Santos, José María (Revista de Literatura, 2022)
      En el presente trabajo se analiza la obra Cómica de Abella Cienfuegos con el objetivo de mostrar su compleja estructura narrativa caracterizada por lo que denominamos autoficción inserta, término al que se llega a partir ...

    • Automated code generation support for BI with MDA TALISMAN 

      García-Díaz, Vicente; Fernández-Fernández, Héctor; Palacios-González, Elías; Pelayo García-Bustelo, B. Cristina; Sanjuán Martínez, Óscar; Cueva Lovelle, Juan Manuel (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2009)
      Model Driven Engineering (MDE) is gaining ever more strength due to the fact that with MDE the software development can be much more productive and this is the way to go closer to real software industrialization. With ...

    • Automated detection of age-related macular degeneration using a pre-trained deep-learning scheme 

      Kadry, Seifedine; Rajinikanth, Venkatesan; González-Crespo, Rubén; Verdú, Elena (Springer, 2022)
      An eye disease affects the entire sensory operation, and an unrecognised and untreated eye disease may lead to loss of vision. The proposed work aims to develop an automated age-related macular degeneration (AMD) detection ...

    • Automated Detection of COVID-19 using Chest X-Ray Images and CT Scans through Multilayer- Spatial Convolutional Neural Networks 

      Khattak, Muhammad Irfan; Al-Hasan, Mu’ath; Jan, Atif; Saleem, Nasir; Verdú, Elena; Khurshid, Numan (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2021)
      The novel coronavirus-2019 (Covid-19), a contagious disease became a pandemic and has caused overwhelming effects on the human lives and world economy. The detection of the contagious disease is vital to avert further ...

    • Automated Detection of COVID-19 using Chest X-Ray Images and CT Scans through Multilayer-Spatial Convolutional Neural Networks 

      Khattak, Muhammad Irfan; Al-Hasan, Mu'ath; Jan, Atif; Saleem, Nasir; Verdú, Elena ; Khurshid, Numan (International Journal of Interactive Multimedia and Artificial Intelligence, 2021)
      The novel coronavirus-2019 (Covid-19), a contagious disease became a pandemic and has caused overwhelming effects on the human lives and world economy. The detection of the contagious disease is vital to avert further ...

    • Automated ECG Analysis for Localizing Thrombus in Culprit Artery Using Rule Based Information Fuzzy Network 

      Harish, B S; Roopa, C K (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2020)
      Cardio-vascular diseases are one of the foremost causes of mortality in today’s world. The prognosis for cardiovascular diseases is usually done by ECG signal, which is a simple 12-lead Electrocardiogram (ECG) that gives ...

    • Automated playtesting in collectible card algorithms: A case study in hearthstone 

      García-Sánchez, Pablo; Tonda, Alberto; Squillero, Giovanni; Merelo, Juan Julián; Mora, Antonio M (Knowledge-Based Systems, 08/2018)
      Collectible card games have been among the most popular and profitable products of the entertainment industry since the early days of Magic: The GatheringTM in the nineties. Digital versions have also appeared, with ...

    • Automated segmentation of leukocyte from hematological images—a study using various CNN schemes 

      Kadry, Seifedine; Rajinikanth, Venkatesan; Taniar, David; Damaševičius, Roberta; Blanco Valencia, Xiomara Patricia (Springer, 2022)
      Medical images play a fundamental role in disease screening, and automated evaluation of these images is widely preferred in hospitals. Recently, Convolutional Neural Network (CNN) supported medical data assessment is ...

    • Automatic Cell Counting With YOLOv5: A Fluorescence Microscopy Approach 

      López Flórez, Sebastián; González-Briones, Alfonso; Hernández, Guillermo; Ramos, Carlos; de la Prieta, Fernando (International Journal of Interactive Multimedia and Artificial Intelligence, 09/2023)
      Counting cells in a Neubauer chamber on microbiological culture plates is a laborious task that depends on technical experience. As a result, efforts have been made to advance computer vision-based approaches, increasing ...

    • Automatic Classification of Oral Pathologies Using Orthopantomogram Radiography Images Based on Convolutional Neural Network 

      Laishram, Anuradha; Thongam, Khelchandra (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2022)
      An attempt has been made to device a robust method to classify different oral pathologies using Orthopantomogram (OPG) images based on Convolutional Neural Network (CNN). This system will provide a novel approach for the ...

    • Automatic detection of lung nodule in CT scan slices using CNN segmentation schemes: A study 

      Kadry, Seifedine; Herrera-Viedma, Enrique; González-Crespo, Rubén; Krishnamoorthy, Sujatha; Rajinikanth, Venkatesan (Procedia Computer Science, 2022)
      The lung is one of the prime respiratory organs in human physiology, and its abnormality will severely disrupt the respiratory system. Lung Nodule (LN) is one of the abnormalities, and early screening and treatment are ...

    • Automatic Discovery of Complementary Learning Resources 

      Romero Zaldivar, Vicente Arturo; Crespo García, Raquel M; Burgos, Daniel ; Delgado Kloos, Carlos; Pardo, Abelardo (Towards Ubiquitous Learning. EC-TEL 2011, 2011)
      Students in a learning experience can be seen as a community working simultaneously (and in some cases collaboratively) in a set of activities. During these working sessions, students carry out numerous actions that affect ...

    • Automatic Finding Trapezoidal Membership Functions in Mining Fuzzy Association Rules Based on Learning Automata 

      Anari, Z.; Hatamlou, A.; Anari, B. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2022)
      Association rule mining is an important data mining technique used for discovering relationships among all data items. Membership functions have a significant impact on the outcome of the mining association rules. An ...

    • Automatic image characterization of psoriasis lesions 

      Martínez Torres, Javier; Silva Piñeiro, Alicia; Alesanco, Álvaro; Pérez-Rey, Ignacio ; García, José (MDPI, 2021)
      Psoriasis is a chronic skin disease that affects 125 million people worldwide and, par-ticularly, 2% of the Spanish population, characterized by the appearance of skin lesions due to a growth of the epidermis that is seven ...

    • Automatic Irony Detection using Feature Fusion and Ensemble Classifier 

      Harish, B S; Kumar, Keerthi (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2019)
      With the advent of micro-blogging sites, users are pioneer in expressing their sentiments and emotions on global issues through text. Automatic detection and classification of sentiments like sarcastic or ironic content ...

    • Automatic Multimedia Creation Enriched with Dynamic Conceptual Data 

      Martín, Angel; Iribas, Haritz; Alberdi, Ion; Aginako, Naiara (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2012)
      There is a growing gap between the multimedia production and the context centric multimedia services. The main problem is the under-exploitation of the content creation design. The idea is to support dynamic content ...

    • Automation of the tutoring process in online environments through the analitycs of learning 

      Simanca Herrera, Fredys Alberto; Burgos, Daniel ; González-Crespo, Rubén ; Rodríguez Baena, Luis (Iberian Conference on Information Systems and Technologies, CISTI, 2018)
      This article presents the preliminary results of an investigation project about new classroom technologies in online learning, whose main objective is the design of a new technological tool in enviroment online, through ...