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Showing results 85921 to 85940 of 276390

85921
Expiration Date Perception and Food Disposal Decision

Kim, Christine; Huh, Young Eun, Association for Consumer Research, Association for Consumer Research, 2019-10-19

85922
Expiration Date Perception and Food Disposal Decision

Kim, Christine; Huh, Young Eun, 2020 Society for Consumer Psychology, Society for Consumer Psychology, 2020-03-06

85923
Expiration Date Perception and Food Disposal Decision

Kim, Christine; Huh, Young Eun, ADVANCES IN CONSUMER RESEARCH, v.47, pp.158 - 163, 2019-10

85924
Explainability aware clustering: a case study using COVID-19 analysis = 설명 가능한 클러스터링: 코로나-19 분석을 통한 사례 연구link

Hwang, Hyunseung; Whang, Steven Euijong; et al, 한국과학기술원, 2021

85925
Explainability of Machine Learning Models for Bankruptcy Prediction

Park, Min Sue; Son, Hwijae; Hyun, Chongseok; Hwang, Hyung Ju, IEEE ACCESS, v.9, pp.124887 - 124899, 2021

85926
EXplainable AI (XAI) approach to image captioning

Han, Seung-Ho; Kwon, Min-Su; Choi, Ho-Jin, JOURNAL OF ENGINEERING-JOE, v.2020, no.13, pp.589 - 594, 2020-07

85927
Explainable Artificial Intelligence Approach to Identify the Origin of Phonon-Assisted Emission in WSe2 Monolayer

Yoo, Jaekak; Cho, Youngwoo; Jeong, Byeonggeun; Choi, Soo Ho; Kim, Ki Kang; Lim, Seong Chu; Lee, Seung Mi; et al, ADVANCED INTELLIGENT SYSTEMS, v.5, no.7, 2023-07

85928
Explainable artificial intelligence for manufacturing cost estimation and machining feature visualization

Yoo, Soyoung; Kang, Namwoo, EXPERT SYSTEMS WITH APPLICATIONS, v.183, 2021-11

85929
Explainable artificial intelligence to evaluate industrial internal security using EEG signals in IoT framework

Al Hammadi, Ahmed Y.; Yeun, Chan Yeob; Damiani, Ernesto; Yoo, Paul D.; Hu, Jiankun; Yeun, Hyun Ku; Yim, Man-Sung, AD HOC NETWORKS, v.123, 2021-12

85930
Explainable heat-related mortality with random forest and SHapley Additive exPlanations (SHAP) models

Kim, Yesuel; KIM, Youngchul, SUSTAINABLE CITIES AND SOCIETY, v.79, 2022-04

85931
Explainable Image Caption Generator Using Attention and Bayesian Inference

Han, Seung-Ho; Choi, Ho-Jin, 2018 International Conference on Computational Science and Computational Intelligence, CSCI 2018, pp.478 - 481, Institute of Electrical and Electronics Engineers Inc., 2018-12

85932
Explainable image caption generator using attention and bayesian inference = 어텐션과 베이즈 추론을 이용한 설명가능 이미지 캡션 생성기link

Han, Seung Ho; Choi, Ho Jin; et al, 한국과학기술원, 2018

85933
Explainable patch-wise crack detection and image classification on the egg shell dataset = 설명 가능한 이미지 분할 학습 기법을 통한 계란 껍질의 균열 탐지 및 분류link

Lee, JeongWon; Youn, Chan-Hyun; et al, 한국과학기술원, 2023

85934
Explaining CNN and RNN Using Selective Layer-Wise Relevance Propagation

Jung, Yeon-Jee; Han, Seung-Ho; Choi, Ho-Jin, IEEE ACCESS, v.9, pp.18670 - 18681, 2021-03

85935
Explaining electron and muon g-2 anomaly in SUSY without lepton-flavor mixings

Endo, Motoi; Yin, Wen, JOURNAL OF HIGH ENERGY PHYSICS, no.8, 2019-08

85936
Explaining Evaporation-Triggered Wetting Transition Using Local Force Balance Model and Contact Line-Fraction

Annavarapu, Rama Kishore; Kim, Sanha; Wang, Minghui; Hart, A. John; Sojoudi, Hossein, SCIENTIFIC REPORTS, v.9, no.1, 2019-01

85937
Explaining explanation in chemistry

Fisher, Grant, CHEMICAL EXPLANATION: CHARACTERISTICS, DEVELOPMENT, AUTONOMY, v.988, pp.16 - 21, 2003-05

85938
Explaining How Deep Neural Networks Forget by Deep Visualization

Nguyen, Giang; Chen, Shuan; Jun, Tae Joon; Kim, Daeyoung, 25th International Conference on Pattern Recognition Workshops, ICPR 2020, pp.162 - 173, Springer Science and Business Media Deutschland GmbH, 2021-01

85939
Explaining the Decisions of Deep Policy Networks for Robotic Manipulations

Kim, Seongun; Choi, Jaesik, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp.2663 - 2669, IEEE Robotics and Automation Society, 2021-09-30

85940
Explaining the decisions of deep policy networks for robotic manipulations = 로봇 조작을 위한 심층 정책 모델의 의사결정 과정 설명link

Kim, Seongun; Choi, Jaesik; et al, 한국과학기술원, 2022

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