Mostrando ítems 39-58 de 83

    • Editor's Note 

      Blanco Valencia, Xiomara Patricia (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)
      The International Journal of Interactive Multimedia and Artificial Intelligence - IJIMAI - provides a space in which scientists and professionals can report about new advances in Artificial Intelligence (AI). On this ...
    • Editor's Note 

      Martínez Torres, Javier (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2021)
      The International Journal of Interactive Multimedia and Artificial Intelligence – IJIMAI (ISSN 1989-1660) provides an interdisciplinary forum in which scientists and professionals can share their research results and report ...
    • Editor's Note 

      Chun-Wei Lin, Jerry; Srivastava, Gautam; Tseng, Vicent S. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2021)
      In today’s world, we have witnessed an onset of multimedia content being uploaded/downloaded and shared through a multitude of platforms both online and offline. In support of this trend, multimedia processing and analyzing ...
    • Editor's Note 

      Burgos, Daniel; Oviedo, Lluis; Griffiths, Dai; Vestrucci, Andrea (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2021)
      Research on the relationship between computing and the meaning of human life flourishes proportionally to the increasing digitalization of our world. More and more, reflections on ethics and politics, spiritual values and ...
    • Editor's Note 

      Alonso-Betanzos, Amparo; Cabalar, Pedro; Dimuro, Gracaliz P.; García, Marcos; Hernández-Orallo, José; Hervás, Raquel; Manjarés, Ángeles; Martínez-Plumed, Fernado; Mora-Jiménez, Inmaculada; Sànchez-Marrè, Miquel (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2021)
      Artificial Intelligence has become nowadays one of the main relevant technologies that is driven us to a new revolution, a change in society, just as well as other human inventions, such as navigation, steam machines, or ...
    • Efficient and Robust Model Benchmarks with Item Response Theory and Adaptive Testing 

      Song, Hao; Flach, Peter (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2021)
      Progress in predictive machine learning is typically measured on the basis of performance comparisons on benchmark datasets. Traditionally these kinds of empirical evaluation are carried out on large numbers of datasets, ...
    • Emergent Models for Moral AI Spirituality 

      Graves, Mark (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2021)
      Examining AI spirituality can illuminate problematic assumptions about human spirituality and AI cognition, suggest possible directions for AI development, reduce uncertainty about future AI, and yield a methodological ...
    • Extensive Classification of Visual Art Paintings for Enhancing Education System using Hybrid SVM-ANN with Sparse Metric Learning based on Kernel Regression 

      Xu, Fei; Wu, Tong; Huang, Shali; Han, Kuntong; Lin, Wenwen; Wu, Shizhong; CB, Sivaparthipan; Dinesh Jackson, Samuel R (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)
      In recent decades, the collection of visual art paintings is large, digitized, and available for public uses that are rapidly growing. The development of multi-media systems is needed due to the huge amount of digitized ...
    • Eye-Tracking Signals Based Affective Classification Employing Deep Gradient Convolutional Neural Networks 

      Li, Yuanfeng; Deng, Jiangang; Wu, Qun; Wang, Ying (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)
      Utilizing biomedical signals as a basis to calculate the human affective states is an essential issue of affective computing (AC). With the in-depth research on affective signals, the combination of multi-model cognition ...
    • Feasibility and Acceptability of a Mobile-Based Emotion Recognition Approach for Bipolar Disorder 

      Daus, H.; Backenstrass, M. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)
      Over the past years, the mobile Health approach has motivated research projects to develop mood monitoring systems for bipolar disorder. Whereas mobile-based approaches have examined self-assessment or sensor data, so far, ...
    • Foundations for the Design of a Creative System Based on the Analysis of the Main Techniques that Stimulate Human Creativity 

      De Garrido, L.; Gómez Sanz, J.J.; Pavón Mestras, Juan (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)
      This work presents the design of a computational system with creative capacity, based on the synthesis of the main methods that stimulate human creativity. When analyzing each method, a set of characteristics that the ...
    • Improving Asynchronous Interview Interaction with Follow-up Question Generation 

      Rao S B, Pooja; Agnihotri, Manish; Babu Jayagopi, Dinesh (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2021)
      The user experience of an asynchronous video interview system, conventionally is not reciprocal or conversational. Interview applicants expect that, like a typical face-to-face interview, they are innate and coherent. We ...
    • Imputation of Rainfall Data Using the Sine Cosine Function Fitting Neural Network 

      Chan Chiu, Po; Selamat, Ali; Krejcar, Ondrej; Kuok Kuok, King; Herrera-Viedma, Enrique; Fenza, Giuseppe (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2021)
      Missing rainfall data have reduced the quality of hydrological data analysis because they are the essential input for hydrological modeling. Much research has focused on rainfall data imputation. However, the compatibility ...
    • Integration of Genetic Programming and TABU Search Mechanism for Automatic Detection of Magnetic Resonance Imaging in Cervical Spondylosis 

      Juan, Chun-Jung; Wang, Chen-Shu; Lee, Bo-Yi; Chiang, Shang-Yu; Yeh, Chun-Chang; Cho, Der-Yang; Shen, Wu-Chung (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2021)
      Cervical spondylosis is a kind of degenerative disease which not only occurs in elder patients. The age distribution of patients is unfortunately decreasing gradually. Magnetic Resonance Imaging (MRI) is the best tool to ...
    • Learning Analytics to Detect Evidence of Fraudulent Behaviour in Online Examinations 

      Balderas, Antonio; Palomo-Duarte, Manuel; Caballero-Hernández, Juan Antonio; Rodriguez-Garcia, Mercedes; Dodero, Juan Manuel (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)
      Lecturers are often reluctant to set examinations online because of the potential problems of fraudulent behaviour from their students. This concern has increased during the coronavirus pandemic because courses that were ...
    • Local Technology to Enhance Data Privacy and Security in Educational Technology 

      Amo, Daniel; Prinsloo, Paul; Alier, Marc; Fonseca, David; Torres Kompen, Ricardo; Canaleta, Xavier; Herrero-Martín, Javier (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)
      In educational environments, technological adoption in the last 10 years has enabled a data-driven and decisionmaking paradigm in organizations. The integration of cloud services in schools and universities is a positive ...
    • Machine Learning Classifier Approach with Gaussian Process, Ensemble boosted Trees, SVM, and Linear Regression for 5G Signal Coverage Mapping 

      Gupta, Akansha; Ghanshala, Kamal; Joshi, R. C. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2021)
      This article offers a thorough analysis of the machine learning classifiers approaches for the collected Received Signal Strength Indicator (RSSI) samples which can be applied in predicting propagation loss, used for network ...
    • Mapping and Deep Analysis of Image Dehazing: Coherent Taxonomy, Datasets, Open Challenges, Motivations, and Recommendations 

      Hameed Abdulkareem, Karrar; Arbaiy, Nureize; Hussein Arif, Zainab; Nasser Al-Mhiqani, Mohammed; Abed Mohammed, Mazin; Kadry, Seifedine; Alkareem Alyasseri, Zaid Abdi (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)
      Our study aims to review and analyze the most relevant studies in the image dehazing field. Many aspects have been deemed necessary to provide a broad understanding of various studies that have been examined through surveying ...
    • Modeling of Performance Creative Evaluation Driven by Multimodal Affective Data 

      Wu, Yufeng; Zhang, Longfei; Ding, Gangyi; Xue, Tong; Zhang, Fuquan (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2021)
      Performance creative evaluation can be achieved through affective data, and the use of affective featuresto evaluate performance creative is a new research trend. This paper proposes a “Performance Creative—Multimodal ...
    • Modified YOLOv4-DenseNet Algorithm for Detection of Ventricular Septal Defects in Ultrasound Images 

      Chen, Shih-Hsin; Wang, Chun-Wei; Tai, I-Hsin; Weng, Ken-Pen; Chen, Yi-Hui; Hsieh, Kai-Sheng (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2021)
      Doctors conventionally analyzed echocardiographic images for diagnosing congenital heart diseases (CHDs). However, this process is laborious and depends on the experience of the doctors. This study investigated the use of ...