Mostrando ítems 1-20 de 83

    • A Case-Based Reasoning Model Powered by Deep Learning for Radiology Report Recommendation 

      Amador-Domínguez, Elvira; Serrano, Emilio; Manrique, Daniel; Bajo, Javier (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)
      Case-Based Reasoning models are one of the most used reasoning paradigms in expert-knowledge-driven areas. One of the most prominent fields of use of these systems is the medical sector, where explainable models are required. ...
    • A Generalized Wine Quality Prediction Framework by Evolutionary Algorithms 

      Hui-Ye Chiu, Terry; Wu, Chienwen; Chen, Chun-Hao (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2021)
      Wine is an exciting and complex product with distinctive qualities that makes it different from other manufactured products. Therefore, the testing approach to determine the quality of wine is complex and diverse. Several ...
    • A Hybrid Approach for Android Malware Detection and Family Classification 

      Dhalaria, Meghna; Gandotra, Ekta (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2021)
      With the increase in the popularity of mobile devices, malicious applications targeting Android platform have greatly increased. Malware is coded so prudently that it has become very complicated to identify. The increase ...
    • A Novel Fog Computing Approach for Minimization of Latency in Healthcare using Machine Learning 

      Kishor, Amit; Chakraborty, Chinmay; Jeberson, Wilson (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2021)
      In the recent scenario, the most challenging requirements are to handle the massive generation of multimedia data from the Internet of Things (IoT) devices which becomes very difficult to handle only through the cloud. Fog ...
    • A Smart Collaborative Educational Game with Learning Analytics to Support English Vocabulary Teaching 

      Tlili, Ahmed; Hattab, Sarra; Essalmi, Fathi; Chen, Nian-Shing; Huang, Ronghuai; Kinshuk; Chang, Maiga; Burgos, Daniel (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2021)
      Learning Analytics (LA) approaches have proved to be able to enhance learning process and learning performance. However, little is known about applying these approaches for second language acquisition using educational ...
    • A Study on RGB Image Multi-Thresholding using Kapur/Tsallis Entropy and Moth-Flame Algorithm 

      Rajinikanth, V.; Kadry, Seifedine; González-Crespo, Rubén; Verdú, Elena (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)
      In the literature, a considerable number of image processing and evaluation procedures are proposed and implemented in various domains due to their practical importance. Thresholding is one of the pre-processing techniques, ...
    • A Systematic Literature Review of Empirical Studies on Learning Analytics in Educational Games 

      Tlili, Ahmed; Chang, Maiga; Moon, Jewoong; Liu, Zhichun; Burgos, Daniel; Chen, Nian-Shing; Kinshuk (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)
      Learning analytics (LA) in educational games is considered an emerging practice due to its potential of enhancing the learning process. Growing research on formative assessment has shed light on the ways in which students' ...
    • A Word Embedding Based Approach for Focused Web Crawling Using the Recurrent Neural Network 

      Dhanith, P. R. Joe; Surendiran, B.; Raja, S. P. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2021)
      Learning-based focused crawlers download relevant uniform resource locators (URLs) from the web for a specific topic. Several studies have used the term frequency-inverse document frequency (TF-IDF) weighted cosine vector ...
    • Achieving Fair Inference Using Error-Prone Outcomes 

      Boeschoten, Laura; van Kesteren, Erik-Jan; Bagheri, Ayoub; Oberski, Daniel L. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2021)
      Recently, an increasing amount of research has focused on methods to assess and account for fairness criteria when predicting ground truth targets in supervised learning. However, recent literature has shown that prediction ...
    • Acoustic Classification of Mosquitoes using Convolutional Neural Networks Combined with Activity Circadian Rhythm Information 

      Kim, Jaehoon; Oh, Jeongkyu; Heo, Tae-Young (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)
      Many researchers have used sound sensors to record audio data from insects, and used these data as inputs of machine learning algorithms to classify insect species. In image classification, the convolutional neural network ...
    • Alzheimer Disease Detection Techniques and Methods: A Review 

      Afzal, Sitara; Maqsood, Muazzam; Khan, Umair; Mehmood, Irfan; Nawaz, Hina; Aadil, Farhan; Song, Oh-Young; Yunyoung, Nam (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2021)
      Brain pathological changes linked with Alzheimer's disease (AD) can be measured with Neuroimaging. In the past few years, these measures are rapidly integrated into the signatures of Alzheimer disease (AD) with the help ...
    • An Application of Declarative Languages in Distributed Architectures: ASP and DALI Microservices 

      Costantini, Stefania; De Gasperis, Giovanni; De Lauretis, Lorenzo (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2021)
      In this paper we introduce an approach to the possible adoption of Answer Set Programming (ASP) for the definition of microservices, which are a successful abstraction for designing distributed applications as suites of ...
    • An Effective Tool for the Experts' Recommendation Based on PROMETHEE II and Negotiation: Application to the Industrial Maintenance 

      Houari, Nawal Sad; Taghezout, Noria (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2021)
      In this article, we propose an expert recommendation tool that relies on the skills of experts and their interventions in collaboration. This tool provides us with a list of the most appropriate (effective) experts to solve ...
    • An Empiric Analysis of Wavelet-Based Feature Extraction on Deep Learning and Machine Learning Algorithms for Arrhythmia Classification 

      Singh, Ritu; Rajpal, Navin; Mehta, Rajesh (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2021)
      The aberration in human electrocardiogram (ECG) affects cardiovascular events that may lead to arrhythmias. Many automation systems for ECG classification exist, but the ambiguity to wisely employ the in-built feature ...
    • An Enhanced Texture-Based Feature Extraction Approach for Classification of Biomedical Images of CT-Scan of Lungs 

      Srivastava, Varun; Gupta, Shilp; Chaudhary, Gopal; Balodi, Arun; Khari, Manju; García-Díaz, Vicente (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2021)
      Content Based Image Retrieval (CBIR) techniques based on texture have gained a lot of popularity in recent times. In the proposed work, a feature vector is obtained by concatenation of features extracted from local mesh ...
    • An Extensive Analysis of Machine Learning Based Boosting Algorithms for Software Maintainability Prediction 

      Gupta, Shikha; Chug, Anuradha (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)
      Software Maintainability is an indispensable factor to acclaim for the quality of particular software. It describes the ease to perform several maintenance activities to make a software adaptable to the modified environment. ...
    • Antimicrobial Resistance Prediction in Intensive Care Unit for Pseudomonas Aeruginosa using Temporal Data-Driven Models 

      Hernàndez-Carnerero, Àlvar; Sànchez-Marrè, Miquel; Mora-Jiménez, Inmaculada; Soguero-Ruiz, Cristina; Martínez-Agüero, Sergio; Álvarez-Rodríguez, Joaquín (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2021)
      One threatening medical problem for human beings is the increasing antimicrobial resistance of some microorganisms. This problem is especially difficult in Intensive Care Units (ICUs) of hospitals due to the vulnerable ...
    • Application of Artificial Intelligence Algorithms Within the Medical Context for Non-Specialized Users: the CARTIER-IA Platform 

      García-Peñalvo, Francisco; Vázquez-Ingelmo, Andrea; García-Holgado, Alicia; Sampedro-Gómez, Jesús; Sánchez-Puente, Antonio; Vicente-Palacios, Víctor; Dorado-Díaz, P. Ignacio; Sánchez, Pedro L. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2021)
      The use of advanced algorithms and models such as Machine Learning, Deep Learning and other related approaches of Artificial Intelligence have grown in their use given their benefits in different contexts. One of these ...
    • Artificial Canaries: Early Warning Signs for Anticipatory and Democratic Governance of AI 

      Zoe Cremer, Carla; Whittlestone, Jess (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2021)
      We propose a method for identifying early warning signs of transformative progress in artificial intelligence (AI), and discuss how these can support the anticipatory and democratic governance of AI. We call these early ...
    • Artificial Intelligence and Spirituality 

      Calderero Hernández, José Fernando (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2021)
      Drawing from a conceptual review of the terms ‘mind’, ‘intelligence’, ‘spirit’, ‘spirituality’, ‘spiritual intelligence’ and their possible interrelations, an approach to the concept ‘human nature’ is made in relation to ...