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Hyung-il Ahn
Hyung-il Ahn
Chief AI Scientist, Data Science and AI Research @ Noodle.ai
Bestätigte E-Mail-Adresse bei noodle.ai
Titel
Zitiert von
Zitiert von
Jahr
Affective-cognitive learning and decision making: A motivational reward framework for affective agents
H Ahn, RW Picard
International conference on affective computing and intelligent interaction …, 2005
1302005
Computer system and method for sentiment-based recommendations of discussion topics in social media
H Ahn, C Dugan, W Geyer, DR Millen
US Patent App. 13/080,939, 2012
1162012
Affective Cognitive Learning and Decision Making: The Role of Emotions
H Ahn, R Picard
The 18th European Meeting on Cybernetics and Systems Research (EMCSR 2006), 2006
1122006
Hyperparameter and kernel learning for graph based semi-supervised classification
A Kapoor, Y Qi, H Ahn, R Picard
NIPS, 2005
722005
Combining deep learning and survival analysis for asset health management
L Liao, H Ahn
International journal of prognostics and health management (IJPHM) 7 …, 2016
482016
Physically-animated Visual Display
CL Breazeal, RW Picard, H Ahn, G Hoffman
US Patent App. 12/390,405, 2009
432009
A CRM system for social media: challenges and experiences
J Ajmera, H Ahn, M Nagarajan, A Verma, D Contractor, S Dill, M Denesuk
Proceedings of the 22nd international conference on World Wide Web, 49-58, 2013
422013
Modeling and analysis of affective influences on human experience, prediction, decision making, and behavior
H Ahn
Massachusetts Institute of Technology, 2010
382010
Switching vector autoregressive models with higher-order regime dynamics application to prognostics and health management
A Hochstein, HI Ahn, YT Leung, M Denesuk
2014 International conference on prognostics and health Management, 1-10, 2014
372014
Stoop to Conquer: Posture and affect interact to influence computer users’ persistence
H Ahn, A Teeters, A Wang, C Breazeal, R Picard
Affective Computing and Intelligent Interaction: Second International …, 2007
352007
Monitoring and planning for failures of vehicular components
H Ahn, M Denesuk, A Hochstein, YT Leung
US Patent 9,454,855, 2016
342016
Measuring Affective-Cognitive Experience and Predicting Market Success
H Ahn, R Picard
IEEE Transactions on Affective Computing, 2014
342014
Mixture of gaussian processes for combining multiple modalities
A Kapoor, H Ahn, R Picard
Multiple Classifier Systems, 677-696, 2005
332005
Sales Prediction with Social Media Analysis
HI Ahn, WS Spangler
Service Research and Innovation Institute (SRII) Annual Conference, 213-222, 2014
282014
Integrating economic considerations to develop a component replacement policy based on a cumulative wear-based indicator for a vehicular component
H Ahn, M Denesuk, A Hochstein, YT Leung
US Patent 9,514,577, 2016
222016
Effects of guided and unguided style learning on user attention in a virtual environment
JJ Goo, KS Park, M Lee, J Park, M Hahn, H Ahn, RW Picard
International Conference on Technologies for E-Learning and Digital …, 2006
212006
Survival analysis for HDLSS data with time dependent variables: Lessons from predictive maintenance at a mining service provider
A Hochstein, HI Ahn, YT Leung, M Denesuk
Proceedings of 2013 IEEE International Conference on Service Operations and …, 2013
152013
Generating cumulative wear-based indicators for vehicular components
H Ahn, M Denesuk, A Hochstein, YT Leung
US Patent 9,286,735, 2016
122016
Asset health management framework
L Liao, H Ahn
US Patent App. 15/197,394, 2018
92018
Generating estimates of failure risk for a vehicular component
H Ahn, M Denesuk, A Hochstein, YT Leung
US Patent 10,769,866, 2020
52020
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