Mostrando ítems 64-66 de 83

    • Promising Deep Semantic Nuclei Segmentation Models for Multi-Institutional Histopathology Images of Different Organs 

      Hassan, Loay; Saleh, Adel; Abdel-Nasser, Mohamed; Omer, Osama A.; Puig, Domenec (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2021)
      Nuclei segmentation in whole-slide imaging (WSI) plays a crucial role in the field of computational pathology. It is a fundamental task for different applications, such as cancer cell type classification, cancer grading, ...
    • NSL-BP: A Meta Classifier Model Based Prediction of Amazon Product Reviews 

      Kumar, Pravin; Dayal, Mohit; Khari, Manju; Fenza, Giuseppe; Gallo, Mariacristina (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2021)
      In machine learning, the product rating prediction based on the semantic analysis of the consumers' reviews is a relevant topic. Amazon is one of the most popular online retailers, with millions of customers purchasing and ...
    • A Word Embedding Based Approach for Focused Web Crawling Using the Recurrent Neural Network 

      Dhanith, P. R. Joe; Surendiran, B.; Raja, S. P. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2021)
      Learning-based focused crawlers download relevant uniform resource locators (URLs) from the web for a specific topic. Several studies have used the term frequency-inverse document frequency (TF-IDF) weighted cosine vector ...