1114 ARTIFICIAL INTELLIGENCE, TRAINED WITH A ROUGH BINARY CLASSIFICATION, CAN SELECT SIGNIFICANT IMAGES OF CAPSULE ENDOSCOPYdoi:10.1016/j.gie.2020.03.875Junseok ParkYoungbae HwangYun Jeong Lim *Ji Hyung NamDong Jun OhHyun Joo SongKi Bae Kim
Artificial intelligence (AI) algorithms, particularly deep learning, have demonstrated remarkable progress in image-recognition tasks. Methods ranging from convolutional neural networks to variational autoencoders have found myriad applications in the me
1 binary classification The learning process of the binary classification neural network is summarized in the following steps. Of course, we use the cross entropy function as the cost function and the sigmoid function as the activation function of the hidden and output nodes. 1. The binary classi...
Recently, using artificial intelligence (AI) in drug discovery has received much attention since it significantly shortens the time and cost of developing new drugs. Deep learning (DL)-based approaches are increasingly being used in all stages of drug development as DL technology advances, and drug...
Artificial intelligence (AI), particularly computational intelligence and machine learning methods and algorithms, has been naturally applied in the development of recommender systems to improve prediction accuracy and solve data sparsity and cold start problems. This position paper systematically discusses ...
FACE project: value of a novel artificial intelligence solution to make at home cosmetic virtual analysis in the COVID era Presented in EADV Annual Meeting (2020) In press Google Scholar 36 M.R. Daliri Feature selection using binary particle swarm optimization and support vector machines for medic...
In practice, there are many binary classification problems, such as credit risk assessment, medical testing for determining if a patient has a certain dise... L Zhou,KK Lai - 《计算机科学前沿》 被引量: 17发表: 2009年 Artificial intelligence in the prediction of venous thromboembolism: A system...
machine-learningmxnetmachine-learning-algorithmsaimlartificial-intelligencefacial-recognitionface-recognitiongender-recognitionage-recognitionfacenetgender-classificationfacial-expression-recognitionemotion-detectionartificial-intelligence-algorithmsemotion-recognitiongender-predictionfacenet-trained-modelsfacial-attributesmxnet-image...
Artificial Intelligence 1Introduction The increased scholarly focus has been directed to fake news detection given their widespread impact on supply chain disruptions, as was the case with the COVID-19 vaccine. Fake news and misinformation are highly disruptive, which create uncertainty and disruptions ...
In this paper, we survey the methods and concepts developed for the evaluation of dialogue systems. Evaluation, in and of itself, is a crucial part during