Mostrando ítems 1-20 de 132

    • A Clustering Algorithm Based on an Ensemble of Dissimilarities: An Application in the Bioinformatics Domain 

      Martín Merino, Manuel; López Rivero, Alfonso José; Alonso, Vidal; Vallejo, Marcelo; Ferreras, Antonio (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2022)
      Clustering algorithms such as k-means depend heavily on choosing an appropriate distance metric that reflect accurately the object proximities. A wide range of dissimilarities may be defined that often lead to different ...
    • A Comparative Analysis of Machine Learning Models for Banking News Extraction by Multiclass Classification With Imbalanced Datasets of Financial News: Challenges and Solutions 

      Dogra, Varun; Verma, Sahil; Verma, Kavita; Jhanjhi, NZ; Ghosh, Uttam; Le, Dac-Nhuong (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2022)
      Online portals provide an enormous amount of news articles every day. Over the years, numerous studies have concluded that news events have a significant impact on forecasting and interpreting the movement of stock prices. ...
    • A Cybernetic Perspective on Generative AI in Education: From Transmission to Coordination 

      Griffiths, Dai; Frías-Martínez, Enrique; Tlili, Ahmed; Burgos, Daniel (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2024)
      The recent sudden increase in the capabilities of Large Language Models (LLMs), and generative AI in general, has astonished education professionals and learners. In formulating a response to these developments, educational ...
    • A Diversity-Accuracy Measure for Homogenous Ensemble Selection 

      Zouggar, Taleb; Adla, A (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2019)
      Several selection methods in the literature are essentially based on an evaluation function that determines whether a model M contributes positively to boost the performances of the whole ensemble. In this paper, we propose ...
    • 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 Low Cost and Computationally Efficient Approach for Occlusion Handling in Video Surveillance Systems 

      Joshi, Rakesh Chandra; Singh, Adithya Gaurav; Joshi, Mayank; Mathur, Sanjay (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2019)
      In the development of intelligent video surveillance systems for tracking a vehicle, occlusions are one of the major challenges. It becomes difficult to retain features during occlusion especially in case of complete ...
    • A Machine Learning Model for Early Prediction of Crop Yield, Nested in a Web Application in the Cloud: A Case Study in an Olive Grove in Southern Spain 

      Cubillas, Juan Jose; Ramos, Maria I.; Jurado, Juan Manuel; Feito, F.R. (Agriculture, 2022)
      Predictive systems are a crucial tool in management and decision-making in any productive sector. In the case of agriculture, it is especially interesting to have advance information on the profitability of a farm. In this ...
    • A new algorithm for time series prediction using machine learning models 

      Jahnavi, Yeturu; Elango, Poongothai; Raja, S. P.; Parra Fuente, Javier; Verdú, Elena (Evolutionary Intelligence, 2023)
      Two stage grid search accepted as a promising heuristic search technique, involves a search performed in two stages. In the first stage a search is performed in coarse grain/low resolution to identify the optimal region ...
    • A new multi-label dataset for Web attacks CAPEC classification using machine learning techniques 

      Sureda Riera, Tomás; Bermejo Higuera, Juan Ramón ; Bermejo-Higuera, Javier ; Martínez Herraiz, José-Javier; Sicilia, Juan Antonio (Computers & Security, 2022)
      Context: There are many datasets for training and evaluating models to detect web attacks, labeling each request as normal or attack. Web attack protection tools must provide additional information on the type of attack ...
    • 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 Novel Technique to Detect and Track Multiple Objects in Dynamic Video Surveillance Systems 

      Adimoolam, M.; Mohan, Senthilkumar; A., John; Srivastava, Gautam (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2022)
      Video surveillance is one of the important state of the art systems to be utilized in order to monitor different areas of modern society surveillance like the general public surveillance system, city traffic monitoring ...
    • A proposal for sentiment analysis on twitter for tourism-based applications 

      Guzmán De Núñez, Xiomarah Maria ; Núñez-Valdez, Edward Rolando; Pascual Espada, Jordán; González-Crespo, Rubén ; Garcia-Díaz, Vicente (Frontiers in Artificial Intelligence and Applications, 2018)
      People rely on other people’s opinions to make decisions, especially if they belong to their circle of trust. In addition, there are lots of websites of recognized prestige that provide people opinions about different ...
    • A real-life machine learning experience for predicting university dropout at different stages using academic data 

      Fernández-García, Antonio Jesús ; Preciado, Juan Carlos; Melchor, Fran; Rodriguez-Echeverría, Roberto; Conejero Manzano, José María; Sánchez, Fernando (Institute of Electrical and Electronics Engineers Inc., 2021)
      High levels of school dropout are a major burden on the educational and professional development of a country's inhabitants. A country's prosperity depends, among other factors, on its ability to produce higher education ...
    • 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 ...
    • A Review on Intrusion Detection Systems and Techniques 

      Singh Bhati, Nitesh; Khari, Manju; García-Díaz, Vicente; Verdú, Elena (International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 12/2020)
      An Intrusion Detection System (IDS) is a network security system that detects, identifies, and tracks an intruder or an invader in a network. As the usage of the internet is growing every day in our society, the IDS is ...
    • A System for Personality and Happiness Detection 

      Saez, Yago; Navarro, Carlos; Mochon, Asuncion; Isasi, Pedro (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2014)
      This work proposes a platform for estimating personality and happiness. Starting from Eysenck's theory about human's personality, authors seek to provide a platform for collecting text messages from social media (Whatsapp), ...
    • A systematic review of the effects of automatic scoring and automatic feedback in educational settings 

      Guerra Hahn, Marcelo ; Baldiris, Silvia ; De la Fuente-Valentin, Luis ; Burgos, Daniel (Institute of Electrical and Electronics Engineers Inc., 2021)
      Automatic scoring and feedback tools have become critical components of online learning proliferation. These tools range from multiple-choice questions to grading essays using machine learning (ML). Learning environments ...
    • Adaptive contents for interactive TV guided by machine learning based on predictive sentiment analysis of data 

      Mondragón, Victor M; García-Díaz, Vicente; Porcel, Carlos; González-Crespo, Rubén (Soft Computing, 03/2017)
      This paper describes a new proposal for interactive television which is an answer to a continuous change in the traditional television as consequence of the inclusion and evolution of the digital social networks, the ...
    • Agente conversacional para búsqueda y recomendación de ofertas laborales 

      Gómez-Loizaga, Héctor Antonio (18/09/2019)
      El objetivo del presente trabajo es el desarrollo de la arquitectura y metodología utilizada por un agente conversacional para interaccionar con un usuario y extraer la información necesaria que le permita actuar como ...