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New Generation Computing OnlineFirst articles


Recurring Drift Detection and Model Selection-Based Ensemble Classification for Data Streams with Unlabeled Data

Data stream classification is widely popular in the field of network monitoring, sensor network and electronic commerce, etc. However, in the real-world applications, recurring concept drifting and label missing in data streams seriously aggravate …


Estimation of COVID-19 Under-Reporting in the Brazilian States Through SARI

Due to its impact, COVID-19 has been stressing the academy to search for curing, mitigating, or controlling it. It is believed that under-reporting is a relevant factor in determining the actual mortality rate and, if not considered, can cause …


Semi-supervised Ensemble Learning for Efficient Cancer Sample Classification from miRNA Gene Expression Data

Traditional classifiers often fail to produce desired classification accuracy because of inadequate training samples present in microRNA (miRNA) gene expression cancer datasets. In this context, we propose a novel semi-supervised ensemble learning …


Ensemble Methods for Heart Disease Prediction

Heart disease prediction is a critical task regarding human health. It is based on deriving an Machine Learning model from medical parameters to predict risk levels. In this work, we propose and test novel ensemble methods for heart disease …

24-02-2021 Open Access

XCOVNet: Chest X-ray Image Classification for COVID-19 Early Detection Using Convolutional Neural Networks

COVID-19 (also known as SARS-COV-2) pandemic has spread in the entire world. It is a contagious disease that easily spreads from one person in direct contact to another, classified by experts in five categories: asymptomatic, mild, moderate …

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About this journal

The journal is specially intended to support the development of new computational paradigms stemming from the cross-fertilization of various research fields. These fields include, but are not limited to, programming (logic, constraint, functional, object-oriented), distributed/parallel computing, knowledge-based systems and agent-oriented systems.

Major fields covered in New Generation Computing, include:

  • Biocomputing
  • Programming and Semantics
  • Social Computing
  • Cognitive Computing
  • Data Mining
  • Learning
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