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Removing or filtering outliers and mislabeled instances prior to training a learning algorithm has been shown to increase classification accuracy, especially in noisy data sets. A popular approach is to remove any instance that is misclassified by a learning algorithm. However, the use of...
Chromosome classification and karyotype establishment are important procedures for genetic diseases diagnosis. Various computer-aided systems have been developed to automate this tedious and time consuming task, which is performed manually in most cytogenetic laboratories. This paper provides a...
In many important application domains such as text categorization, biomolecular analysis, scene classification and medical diagnosis, examples are naturally associated with more than one class label, giving rise to multi-label classification problems. This fact has led, in recent years, to a...
Recently, optimization makes an important role in our day-to-day life. Evolutionary and population-based optimization algorithms are widely employed in several of engineering areas. The design of an optimization algorithm is a challenging endeavor caused of physical phenomena in order to obtain...
Human gait provides a way of locomotion by combined efforts of the brain, nerves, and muscles. Conventionally, the human gait has been considered subjectively through visual observations but now with advanced technology, human gait analysis can be done objectively and empirically for the better...
In criminal investigation, a facial composite refers to a portrait of a sought unknown individual created by a forensic technician based on the memory of the eye-witness. Despite the use of computerised techniques in order to construct a composite image, until recently, the recognition rate on...
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