Browsing by Author "Guevara-Ponce, Victor"

Now showing items 1-4 of 4

    • Convolutional Neural Networks with Transfer Learning for Pneumonia Detection 

      Iparraguirre-Villanueva, Orlando; Guevara-Ponce, Victor; Roque Paredes, Ofelia; Sierra-Liñan, Fernando; Zapata-Paulini, Joselyn; Cabanillas-Carbonell, Michael ((IJACSA) International Journal of Advanced Computer Science and Applications, 2022)
      Acceso abierto
      Pneumonia is a type of acute respiratory infection caused by microbes, and viruses that affect the lungs. Pneumonia is the leading cause of infant mortality in the world, accounting for 81% of deaths in children under five ...

    • Detection of Breast Cancer using Convolutional Neural Networks with Learning Transfer Mechanisms 

      Guevara-Ponce, Victor; Roque-Paredes, Ofelia; Zerga-Morales, Carlos; Flores-Huerta, Andrea; Aymerich-Lau, Mario; Iparraguirre-Villanueva, Orlando (SAI The Science and Information Organization, 2023)
      Acceso abierto
      Breast cancer is the leading cause of mortality in women worldwide. One of the biggest challenges for physicians and technological support systems is early detection, because it is easier to treat and establish curative ...

    • Sentiment Analysis of Tweets using Unsupervised Learning Techniques and the K-Means Algorithm 

      Iparraguirre-Villanueva, Orlando; Guevara-Ponce, Victor; Sierra-Liñan, Fernando; Beltozar-Clemente, Saul; Cabanillas-Carbonell, Michael (SAI The Science and Information Organization, 2022)
      Acceso abierto
      Abstract: Today, web content such as images, text, speeches, and videos are user-generated, and social networks have become increasingly popular as a means for people to share their ideas and opinions. One of the most ...

    • Text prediction recurrent neural networks using long shortterm memory-dropout 

      Iparraguirre-Villanueva, Orlando; Guevara-Ponce, Victor; Ruiz-Alvarado, Daniel; Beltozar-Clemente, Saul; Sierra-Liñan, Fernando; Zapata-Paulini, Joselyn; Cabanillas-Carbonell, Michael (Indonesian Journal of Electrical Engineering and Computer Science, 2023)
      Acceso abierto
      Unit short-term memory (LSTM) is a type of recurrent neural network (RNN) whose sequence-based models are being used in text generation and/or prediction tasks, question answering, and classification systems due to their ...