Browsing Department of Computer Science and Engineering by Subject "Classification"
Now showing items 1-4 of 4
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CLASSIFICATION OF CLINICAL NARRATIVES USING CONVOLUTIONAL NEURAL NETWORK
(2018-12-10)Patient safety is a key aspect for good consumer care. When an individual is hospitalized or receives medication the family wants the patient safety to be above all factors. For instance, a drug can do both either cure the ... -
FROM TEXT CLASSIFICATION TO IMAGE CLUSTERING, PROBLEMS LESS OPTIMIZED
(2018-06-11)Machine Learning is thriving. Every industry is using its techniques in some way to improve their efficiency and revenue. However, the focus on research is not divided equally between all of the different areas and problems ... -
Randomized and Evolutionary Approaches to Dataset Characterization, Feature Weighting, and Sampling in K-Nearest Neighbors
(2020-06-05)K-Nearest Neighbors (KNN) has remained one of the most popular methods for supervised machine learning tasks. However, its performance often depends on the characteristics of the dataset and on appropriate feature scaling. ... -
TOPOLOGICAL AND FEATURE BASED IDENTIFICATION OF HOLE BOUNDARIES IN POINT CLOUD DATA AND DIFFERENTIATION BETWEEN SURFACE AND PHYSICAL HOLES
(2018-12-13)With the advent of autonomous agents becoming prominent in everyday lives, the importance of processing the surroundings into understandable features becomes more and more important. 3D point clouds play a major role in ...