Auflistung Nach Schlagwort "Supervised learning"
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Applying unsupervised and supervised machine learning methodologies in social media textual traffic data
(2019)Traffic increasingly shapes the trajectory of city growth and impacts on the climate change in modern cities. Traffic patterns’ monitoring can provide with innovative practices in understanding city traffic dynamics, ... -
Beyond lesion detection: Towards semantic interpretation of endoscopy videos
(2017)Several computer-based medical systems have been proposed for automatic detection of abnormalities in a variety of medical imaging domains. The majority of these systems are based on binary supervised classification ... -
Effective products categorization with importance scores and morphological analysis of the titles
(2018)During the past few years, the e-commerce platforms and marketplaces have enriched their services with new features to improve their user experience and increase their profitability. Such features include relevant products ... -
Estimating downlink throughput from end-user measurements in mobile broadband networks
(2019)In recent years, Downlink (DL)throughput estimation in Mobile Broadband (MBB)networks has gained immense popularity and it is expected to become a vital component of the upcoming fifth generation (5G)systems. Plentiful ... -
Forecasting Winter Precipitation based on Weather Sensors Data in Apache Spark
(2021)The proposed paper introduces an approach providing weather information on winter precipitation types using machine learning techniques. The proposed methodology takes as input the data received from weather sensors and ... -
Investigating cross-dataset abnormality detection in endoscopy with a weakly-supervised multiscale convolutional neural network
(2018)The detection of abnormalities in endoscopic video frames can contribute in the early and more accurate detection of pathologic conditions. In this paper we present a novel Convolutional Neural Network (CNN) architecture ... -
Multimodal Workplace Monitoring for Human Activity Recognition
(2021)The aim of this work is to design and implement a system that deals with the recognition of human behavior on issues of mental nature. Since the "invasion"of technology in human daily life is continuously growing, a plethora ... -
A Self-Pruning Classification Model for News
(2019)News aggregators are on-line services that collect articles from numerous reputable media and news providers and reorganize them in a convenient manner with the aim of assisting their users to access the information they ... -
Towards the substitution of real with artificially generated endoscopic images for CNN training
(2019)The generalization performance in deep learning is linked to the size and the variations of the samples available during training. This is apparent in the domain of computer-aided gastrointestinal tract abnormality detection, ... -
Weakly supervised multilabel classification for semantic interpretation of endoscopy video frames
(2020)Several studies have addressed the problem of abnormality detection in medical images using computer-based systems. The impact of such systems in clinical practice and in the society can be high, considering that they can ... -
Weakly-supervised Convolutional learning for detection of inflammatory gastrointestinal lesions
(2016)Graphic image annotations provide the necessary ground truth information for supervised machine learning in image-based computer-aided medical diagnosis. Performing such annotations is usually a time-consuming and ... -
Weakly-supervised lesion detection in video capsule endoscopy based on a bag-of-colour features model
(2017)Robotic video capsule endoscopy (VCE) is a rapidly evolving medical imaging technology enabling more thorough examination and treatment of the gastrointestinal tract than conventional endoscopy technologies. Despite of the ...