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Frederick Petry and Ronald Yager
This paper considers approaches to the computation of association rules for intuitionistic fuzzy data. Association rules can provide guidance for assessing the significant relationships that can be determined while analyzing data. The approach uses the c...
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Federico Cabitza, Andrea Campagner, Domenico Albano, Alberto Aliprandi, Alberto Bruno, Vito Chianca, Angelo Corazza, Francesco Di Pietto, Angelo Gambino, Salvatore Gitto, Carmelo Messina, Davide Orlandi, Luigi Pedone, Marcello Zappia and Luca Maria Sconfienza
In this paper, we present and discuss a novel reliability metric to quantify the extent a ground truth, generated in multi-rater settings, as a reliable basis for the training and validation of machine learning predictive models. To define this metric, t...
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Cesar G. Pachon, Diego Renza and Dora Ballesteros
One of the strategies adopted to compress CNN models for image classification tasks is pruning, where some elements, channels or filters of the network are discarded. Typically, pruning methods present results in terms of model performance before and aft...
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Matthew Wigginton Conway, Andrew Byrd, Michael van Eggermond
Accessibility is increasingly used as a metric when evaluating changes to public transport systems. Transit travel times contain variation depending on when one departs relative to when a transit vehicle arrives, and how well transfers are coordinated gi...
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Nataliya Shakhovska and Pavlo Pukach
This paper focuses on different types of backbone networks for machine learning architectures which perform classification of knee Magnetic Resonance Imaging (MRI) images. This paper aims to compare different types of feature extraction networks for the ...
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Alexander Grundler, Martin Dazer and Thomas Herzig
Statistical power analyses are used in the design of experiments to determine the required number of specimens, and thus the expenditure, of a test. Commonly, when analyzing and planning life tests of technical products, only the confidence level is take...
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Mohammad Mohammadzadeh Babr, Maryam Faghihabdolahi, Danijela Ristic-Durrant and Kai Michels
Instance segmentation of overlapping plants to detect their grasps for possible robotic grasping presents a challenging task due to the need to address the problem of occlusion. We addressed the problem of occlusion using a powerful convolutional neural ...
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Muhammad Aslam Jarwar and Ilyoung Chong
Due to the convergence of advanced technologies such as the Internet of Things, Artificial Intelligence, and Big Data, a healthcare platform accumulates data in a huge quantity from several heterogeneous sources. The adequate usage of this data may incre...
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