Results 11 to 20 of about 889,365 (318)
The advent of next-generation sequencing technologies allowed relative quantification of microbiome communities and their spatial and temporal variation.
Elies Ramon +6 more
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Attention Mechanism Used in Monocular Depth Estimation: An Overview
Monocular depth estimation (MDE), as one of the fundamental tasks of computer vision, plays important roles in downstream applications such as virtual reality, 3D reconstruction, and robotic navigation.
Yundong Li, Xiaokun Wei, Hanlu Fan
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To supervise or to self-supervise: a machine learning based comparison on credit supervision [PDF]
AbstractThis study investigates the need for credit supervision as conducted by on-site banking supervisors. It builds on a real bank on-site credit examination to compare the performance of a hypothetical self-supervision approach, in which banks themselves assess their loan portfolios without external intervention, with the on-site banking ...
openaire +3 more sources
A Literature Survey on Word Sense Disambiguation for the Hindi Language
Word sense disambiguation (WSD) is a process used to determine the most appropriate meaning of a word in a given contextual framework, particularly when the word is ambiguous.
Vinto Gujjar +5 more
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Deep Learning-Based Water Crystal Classification
Much of the earth’s surface is covered by water. As was pointed out in the 2020 edition of the World Water Development Report, climate change challenges the sustainability of global water resources, so it is important to monitor the quality of water to ...
Hien Doan Thi +6 more
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Tailoring Self-Supervision for Supervised Learning
Accepted to ECCV 2022.
WonJun Moon, Ji-Hwan Kim, Jae-Pil Heo
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INTRODUCTION: The empowerment of young people aged 15-24 years is a key component of an effective AIDS response. HIV self-testing (HIVST) is progressively being implemented in the Democratic Republic of Congo (DRC).
Serge Tonen-Wolyec +8 more
doaj +1 more source
Effect of Missing Data Types and Imputation Methods on Supervised Classifiers: An Evaluation Study
Data completeness is one of the most common challenges that hinder the performance of data analytics platforms. Different studies have assessed the effect of missing values on different classification models based on a single evaluation metric, namely ...
Menna Ibrahim Gabr +2 more
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Comparison of Satellite Images Classification Techniques using Landsat-8 Data for Land Cover Extraction [PDF]
Accurate extraction of land cover types from thematic maps using satellite images still constitutes a critical challenge. The selection of a suitable satellite image classification algorithm is considered a crucial prerequisite for successful ...
Soha Ahmed
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Model for detecting excluded students in engineering careers using data mining
This article describes the process of knowledge discovery of the Database of the Academic Information System of the Francisco de Paula Santander University of Ocaña, in order to detect which students may be excluded from undergraduate programs of the ...
Alveiro Alonso Rosado Gómez
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