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Listar por tema "classification"

Mostrando ítems 1-20 de 45

    • 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 Feature Selection Approach Based on Archimedes’ Optimization Algorithm for Optimal Data Classification 

      Khrissi, Lahbib; El Akkad, Nabil; Satori, Hassan; Satori, Khalid (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 01/2023)
      Feature selection is an active research area in data mining and machine learning, especially with the increase in the amount of numerical data. FS is a search strategy to find the best subset of features among a large ...

    • Alzheimer Disease Detection Techniques and Methods: A Review 

      Afzal, Sitara; Maqsood, Muazzam; Khan, Umair; Mehmood, Irfan; Nawaz, Hina; Aadil, Farhan; Song, Oh-Young; Yunyoung, Nam (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2021)
      Brain pathological changes linked with Alzheimer's disease (AD) can be measured with Neuroimaging. In the past few years, these measures are rapidly integrated into the signatures of Alzheimer disease (AD) with the help ...

    • An Empirical Evaluation of Machine Learning Techniques for Crop Prediction 

      Mariammal, G.; Suruliandi, A.; Raja, S. P.; Poongothai, E. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2023)
      Agriculture is the primary source driving the economic growth of every country worldwide. Crop prediction, which is critical to agriculture, depends on the soil and environment. Nutrient levels differ from area to area and ...

    • Analyzing the EEG Signals in Order to Estimate the Depth of Anesthesia using Wavelet and Fuzzy Neural Networks 

      Esmaeilpour, Mansour; Mohammadi, Ali Reis Ali (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2016)
      Estimating depth of Anesthesia in patients with the objective to administer the right dosage of drug has always attracted the attention of specialists. To study Anesthesia, researchers analyze brain waves since this is the ...

    • Anti-Diabetic Therapeutic Medicinal Plant Identification Using Deep Fused Discriminant Subspace Ensemble (D2 SE) 

      Sasikaladevi, N.; Pradeepa, S.; Revathi, A.; Vimal, S.; Dhiman, Gaurav (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 05/2024)
      About 422 million people worldwide have diabetes, the majority living in low-and middle-income countries, and 1.5 million deaths are directly attributed to diabetes each year. According to the Botanical Survey of India, ...

    • Automated ECG Analysis for Localizing Thrombus in Culprit Artery Using Rule Based Information Fuzzy Network 

      Harish, B S; Roopa, C K (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2020)
      Cardio-vascular diseases are one of the foremost causes of mortality in today’s world. The prognosis for cardiovascular diseases is usually done by ECG signal, which is a simple 12-lead Electrocardiogram (ECG) that gives ...

    • Automatic Classification of Oral Pathologies Using Orthopantomogram Radiography Images Based on Convolutional Neural Network 

      Laishram, Anuradha; Thongam, Khelchandra (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2022)
      An attempt has been made to device a robust method to classify different oral pathologies using Orthopantomogram (OPG) images based on Convolutional Neural Network (CNN). This system will provide a novel approach for the ...

    • Automatic image characterization of psoriasis lesions 

      Martínez Torres, Javier; Silva Piñeiro, Alicia; Alesanco, Álvaro; Pérez-Rey, Ignacio ; García, José (MDPI, 2021)
      Psoriasis is a chronic skin disease that affects 125 million people worldwide and, par-ticularly, 2% of the Spanish population, characterized by the appearance of skin lesions due to a growth of the epidermis that is seven ...

    • Automatic Irony Detection using Feature Fusion and Ensemble Classifier 

      Harish, B S; Kumar, Keerthi (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2019)
      With the advent of micro-blogging sites, users are pioneer in expressing their sentiments and emotions on global issues through text. Automatic detection and classification of sentiments like sarcastic or ironic content ...

    • Classification of Breast Thermal Images into Healthy/Cancer Group Using Pre-Trained Deep Learning Schemes 

      Kadry, Seifedine; González-Crespo, Rubén; Herrera-Viedma, Enrique; Krishnamoorthy, Sujatha; Rajinikanth, Venkatesan (Procedia Computer Science, 2022)
      In the women's community, Breast Cancer (BC) is a severe disease. The World Health Organization reported in 2020 that 2.26 million deaths occur due to BC. BC is curable if detected early. Since thermal imaging is non-invasive ...

    • Classification-based Deep Neural Network Architecture for Collaborative Filtering Recommender Systems 

      Bobadilla, Jesús; Ortega, Fernando; Gutiérrez, Abraham; Alonso, Santiago (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2020)
      This paper proposes a scalable and original classification-based deep neural architecture. Its collaborative filtering approach can be generalized to most of the existing recommender systems, since it just operates on the ...

    • 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 ...

    • CompareML: A Novel Approach to Supporting Preliminary Data Analysis Decision Making 

      Fernández-García, Antonio Jesús; Preciado, Juan Carlos; Prieto, Álvaro E.; Sánchez-Figueroa, Fernando; Gutiérrez, Juan D. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2022)
      There are a large number of machine learning algorithms as well as a wide range of libraries and services that allow one to create predictive models. With machine learning and artificial intelligence playing a major role ...

    • Correction to: Sound measurement and automatic vehicle classification and counting applied to road traffic noise characterization 

      Acosta Agudelo, Oscar Esneider; Montenegro, Carlos Enrique; González-Crespo, Rubén (Springer Science and Business Media Deutschland GmbH, 2021)
      A correction to this paper has been published: https://bv.unir.net:2133/10.1007/s00500-021-05852-9. © 2021, Springer-Verlag GmbH Germany, part of Springer Nature.

    • Creación de un clasificador de sentimientos de alumnos mediante minería de opinión 

      Belzunegui-Gabilondo, Ignacio (06/02/2023)
      Para un profesor, reconocer la opinión de un alumno sobre él puede ser bastante difícil. Cuando hay mucha información, leerla toda puede ser complicado, y se necesita una herramienta que permita extraer todos estos datos. ...

    • Deep and handcrafted feature supported diabetic retinopathy detection: A study 

      Kadry, Seifedine; González-Crespo, Rubén; Herrera-Viedma, Enrique; Krishnamoorthy, Sujatha; Rajinikanth, Venkatesan (Procedia Computer Science, 2022)
      The eye is the prime sensory organ in physiology, and the abnormality in the eye severely influences the vision system. Therefore, eye irregularity is commonly assessed using imaging schemes, and Fundus Retinal Image (FRI) ...

    • Diabetes Diagnosis by Case-Based Reasoning and Fuzzy Logic 

      Atmani, Baghdad; Benamina, Mohammed; Benbelkacem, Sofia (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2018)
      In the medical field, experts’ knowledge is based on experience, theoretical knowledge and rules. Case-based reasoning is a problem-solving paradigm which is based on past experiences. For this purpose, a large number of ...

    • EEG Signal Analysis of Writing and Typing between Adults with Dyslexia and Normal Controls 

      Perera, Perera, Harshani Harshani; Shiratuddin, Mohd Fairuz; Wong, Kok Wai; Fullarton, Kelly (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2018)
      EEG is one of the most useful techniques used to represent behaviours of the brain and helps explore valuable insights through the measurement of brain electrical activity. Hence, plays a vital role in detecting neurological ...

    • Evaluating the Emotional State of a User Using a Webcam 

      Magdin, Martin; Turcani, Milan; Hudec, Lukas (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2016)
      In online learning is more difficult for teachers identify to see how individual students behave. Student’s emotions like self-esteem, motivation, commitment, and others that are believed to be determinant in student’s ...