Listar 2021 por título 

Listar 2021 por título

Mostrando ítems 13-32 de 83

    • 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 ...

    • Artificial Intelligence Seen Through the Lens of Bateson’s Ecology of Mind 

      Griffiths, Dai (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2021)
      Gregory Bateson developed a number of ideas which are relevant to artificial intelligence, and in particular to the ascription of qualities such as mind, consciousness, spirituality and the sacred. Relevant sections of ...

    • Assessing Lexical-Semantic Regularities in Portuguese Word Embeddings 

      Gonçalo Oliveira, Hugo; Sousa, Tiago; Alves, Ana (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2021)
      Models of word embeddings are often assessed when solving syntactic and semantic analogies. Among the latter, we are interested in relations that one would find in lexical-semantic knowledge bases like WordNet, also covered ...

    • Attention-based Multi-modal Sentiment Analysis and Emotion Detection in Conversation using RNN 

      Huddar, Mahesh G.; Sannakki, Sanjeev S.; Rajpurohit, Vijay S. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2021)
      The availability of an enormous quantity of multimodal data and its widespread applications, automatic sentiment analysis and emotion classification in the conversation has become an interesting research topic among the ...

    • Attesting Digital Discrimination Using Norms 

      Criado, Natalia; Ferrer, Xavier; Such, José M. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2021)
      More and more decisions are delegated to Machine Learning (ML) and automatic decision systems recently. Despite initial misconceptions considering these systems unbiased and fair, recent cases such as racist algorithms ...

    • Audio-Visual Automatic Speech Recognition Using PZM, MFCC and Statistical Analysis 

      Debnath, Saswati; Roy, Pinki (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)
      Audio-Visual Automatic Speech Recognition (AV-ASR) has become the most promising research area when the audio signal gets corrupted by noise. The main objective of this paper is to select the important and discriminative ...

    • 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 ...

    • Bayesian Knowledge Tracing for Navigation through Marzano’s Taxonomy 

      Cervantes-Perez, Francisco; Navarro-Perales, Joaquin; Franzoni-Velázquez, Ana L.; de-la-Fuente-Valentín, Luis (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2021)
      In this paper we propose a theoretical model of an ITS (Intelligent Tutoring Systems) capable of improving and updating computer-aided navigation based on Bloom’s taxonomy. For this we use the Bayesian Knowledge Tracing ...

    • BILROST: Handling Actuators of the Internet of Things through Tweets on Twitter using a Domain- Specific Language 

      Meana-Llorián, Daniel; González García, Cristian; Pelayo García-Bustelo, B. Cristina; Cueva-Lovelle, Juan Manuel (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2021)
      In recent years, many investigations have appeared that combine the Internet of Things and Social Networks. Some of them addressed the interconnection of objects as Social Networks interconnect people, and others addressed ...

    • Can AI Help Us to Understand Belief? Sources, Advances, Limits, and Future Directions 

      Vestrucci, Andrea; Lumbreras, Sara; Oviedo, Lluis (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2021)
      The study of belief is expanding and involves a growing set of disciplines and research areas. These research programs attempt to shed light on the process of believing, understood as a central human cognitive function. ...

    • COVID-19 Mortality Risk Prediction Using X-Ray Images 

      Prada, J.; Gala, Y.; Sierra, A. L. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2021)
      The pandemic caused by coronavirus COVID-19 has already had a massive impact in our societies in terms of health, economy, and social distress. One of the most common symptoms caused by COVID-19 are lung problems like ...

    • Cross-Lingual Neural Network Speech Synthesis Based on Multiple Embeddings 

      Nosek, Tijana V.; Suzić, Siniša B.; Pekar, Darko J.; Obradović, Radovan J.; Sečujski, Milan S.; Delić, Vlado D. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)
      The paper presents a novel architecture and method for speech synthesis in multiple languages, in voices of multiple speakers and in multiple speaking styles, even in cases when speech from a particular speaker in the ...

    • Deep Feature Representation and Similarity Matrix based Noise Label Refinement Method for Efficient Face Annotation 

      Suruliandi, A.; Kasthuri, A.; Raja, S. P. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)
      Face annotation is a naming procedure that assigns the correct name to a person emerging from an image. Faces that are manually annotated by people in online applications include incorrect labels, giving rise to the issue ...