• 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 Novel Approach on Visual Question Answering by Parameter Prediction using Faster Region Based Convolutional Neural Network 

      Jha, Sudan; Dey, Anirban; Kumar, Raghvendra; Kumar-Solanki, Vijender (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2019)
      Visual Question Answering (VQA) is a stimulating process in the field of Natural Language Processing (NLP) and Computer Vision (CV). In this process machine can find an answer to a natural language question which is related ...
    • A Review of Artificial Intelligence in the Internet of Things 

      González García, Cristian; Núñez-Valdez, Edward; García-Díaz, Vicente; Pelayo García-Bustelo, B. Cristina; Cueva-Lovelle, Juan Manuel (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2019)
      Humankind has the ability of learning new things automatically due to the capacities with which we were born. We simply need to have experiences, read, study… live. For these processes, we are capable of acquiring new ...
    • An Efficient Fake News Detection System Using Contextualized Embeddings and Recurrent Neural Network 

      Ali Reshi, Junaid; Ali, Rashid (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 02/2023)
      Fake news is detrimental for society and individuals. Since the information dissipation through online media is too quick, an efficient system is needed to detect and counter the propagation of fake news on social media. ...
    • 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 ...
    • Biomedical Term Extraction: NLP Techniques in Computational Medicine 

      Redondo, Teófilo; Díaz, Julia; Moreno Sandoval, Antonio; Campillos Llanos, Leonardo (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2019)
      Artificial Intelligence (AI) and its branch Natural Language Processing (NLP) in particular are main contributors to recent advances in classifying documentation and extracting information from assorted fields, Medicine ...
    • Measuring the Difference Between Pictures From Controlled and Uncontrolled Sources to Promote a Destination. A Deep Learning Approach 

      Diaz-Pacheco, Angel; Álvarez-Carmona, Miguel A.; Rodríguez-González, Ansel Y.; Carlos, Hugo; Aranda, Ramón (International Journal of Interactive Multimedia and Artificial Intelligence, 10/2023)
      Promoting a destination is a major task for Destination Marketing Organizations (DMOs). Although DMOs control, to some extent, the information presented to travelers (controlled sources), there are other different sources ...
    • Sentiment Analysis and Classification of Hotel Opinions in Twitter With the Transformer Architecture 

      Arroni, Sergio; Galán, Yerai; Guzmán-Guzmán, Xiomarah; Nuñez-Valdez, Edward Rolando; Gómez, Alberto (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2023)
      Sentiment analysis is of great importance to parties who are interested is analyzing the public opinion in social networks. In recent years, deep learning, and particularly, the attention-based architecture, has taken over ...
    • Using Local Grammar for Entity Extraction from Clinical Reports 

      Ghoulam, Aicha; Barigou, Fatiha; Belalem, Ghalem; Meziane, Farid (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2015)
      Information Extraction (IE) is a natural language processing (NLP) task whose aim is to analyze texts written in natural language to extract structured and useful information such as named entities and semantic relations ...