An approach for thoracic syndrome classification with convolutional neural networks
There have been remarkable changes in our lives and the way we perceive the world with
advances in computing technology. Healthcare sector is evolving with the intervention of the …
advances in computing technology. Healthcare sector is evolving with the intervention of the …
Classification of flower species by using features extracted from the intersection of feature selection methods in convolutional neural network models
It is important for the sensitivity of ecological balance that image processing methods and
techniques give better results day by day. Today, researchers use deep learning in image …
techniques give better results day by day. Today, researchers use deep learning in image …
Quantifying legibility of indoor spaces using Deep Convolutional Neural Networks: Case studies in train stations
Legibility is the extent to which space can be easily recognized. Evaluating legibility is
particularly desirable in indoor spaces, since it has a large impact on human behavior and …
particularly desirable in indoor spaces, since it has a large impact on human behavior and …
How hard are computer vision datasets? Calibrating dataset difficulty to viewing time
D Mayo, J Cummings, X Lin… - Advances in …, 2023 - proceedings.neurips.cc
Humans outperform object recognizers despite the fact that models perform well on current
datasets, including those explicitly designed to challenge machines with debiased images …
datasets, including those explicitly designed to challenge machines with debiased images …
Visual psychophysics for making face recognition algorithms more explainable
B RichardWebster, SY Kwon… - Proceedings of the …, 2018 - openaccess.thecvf.com
Scientific fields that are interested in faces have developed their own sets of concepts and
procedures for understanding how a target model system (be it a person or algorithm) …
procedures for understanding how a target model system (be it a person or algorithm) …
Development of a measuring system for the data collection of a surgical energy device
P van Esch, K Hara, N Takeshita, S Takenaka… - Advanced …, 2024 - Taylor & Francis
Research about intraoperative images for surgical analysis is currently popular. It is
expected that the analysis will become more accurate by adding the usage status of surgical …
expected that the analysis will become more accurate by adding the usage status of surgical …
DocXclassifier: towards a robust and interpretable deep neural network for document image classification
Abstract Model interpretability and robustness are becoming increasingly critical today for
the safe and practical deployment of deep learning (DL) models in industrial settings. As DL …
the safe and practical deployment of deep learning (DL) models in industrial settings. As DL …
Siamese basis function networks for data-efficient defect classification in technical domains
T Schlagenhauf, F Yildirim, B Brückner - International Conference on …, 2022 - Springer
Training deep learning models in technical domains is often accompanied by the challenge
that although the task is clear, insufficient data for training is available. Additional to that …
that although the task is clear, insufficient data for training is available. Additional to that …
[PDF][PDF] Improving Four-Top-Quark Event Classification with Deep Learning Techniques using ATLAS Simulation
NW Schwan - 2020 - cds-lb.cern.ch
Leucippus (450–370 BC) and Democritus (460–371 BC) were most likely the first to
postulate that matter is composed of indivisible objects. Even though our knowledge about …
postulate that matter is composed of indivisible objects. Even though our knowledge about …