• Comparative Study of Classification Techniques on Breast Cancer FNA Biopsy Data 

      You, Haowen;; Rumbe, George (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2010)
      Accurate diagnostic detection of the cancerous cells in a patient is critical and may alter the subsequent treatment and increase the chances of survival rate. Machine learning techniques have been instrumental in ...
    • Graph-based Techniques for Topic Classification of Tweets in Spanish 

      Cordobés, Héctor; Fernández Anta, Antonio; Chiroque, Luis F.; Pérez, Fernando; Redondo, Teófilo; Santos, Agustín (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2014)
      Topic classification of texts is one of the most interesting challenges in Natural Language Processing (NLP). Topic classifiers commonly use a bag-of-words approach, in which the classifier uses (and is trained with) ...
    • Improving supervised learning classification methods using multi-granular linguistic modelling and fuzzy entropy 

      Morente-Molinera, Juan Antonio (1); Mezei, Jozsef; Carlsson, Christer; Herrera-Viedma, Enrique (IEEE Transactions on Fuzzy Systems, 10/2017)
      Obtaining good classification results using supervised learning methods is critical if we want to obtain a high level of precision in the classification processes. The training data used for the learning process plays a ...
    • Intelligent Garbage Classifier 

      Salmador, Alvaro; Pérez Cid, Javier; Rodríguez Novelle, Ignacio (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2008)
      IGC (Intelligent Garbage Classifier) is a system for visual classification and separation of solid waste products. Currently, an important part of the separation effort is based on manual work, from household separation ...
    • OpinAIS: An Artificial Immune System-based Framework for Opinion Mining 

      Baldominos, Alejandro; Luis Mingueza, Nerea; García del Pozo, Mª Cristina (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2015)
      This paper proposes the design of an evolutionary algorithm for building classifiers specifically aimed towards performing classification and sentiment analysis over texts. Moreover, it has properties taken from Artificial ...
    • Real‐time force doors detection system using distributed sensors and neural networks 

      Pascual Espada, Jordán; García-Díaz, Vicente; Nuñez-Valdéz, Edward Rolando; González-Crespo, Rubén (1) (International Journal of Intelligent Systems, 22/07/2019)
      Intelligent security systems have evolved enormously in the last few years. Most of these security systems use a group of physics sensors and algorithms for data analysis and communication systems to notify security alarms. ...
    • Recognizing Human Activities Userindependently on Smartphones Based on Accelerometer Data 

      Siirtola, Pekka; Röning, Juha (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2012)
      Real-time human activity recognition on a mobile phone is presented in this article. Unlike in most other studies, not only the data were collected using the accelerometers of a smartphone, but also models were implemented ...