Hyung-il Ahn
Hyung-il Ahn
Chief AI Scientist, Data Science and AI Research @ Noodle.ai
Geverifieerd e-mailadres voor noodle.ai
Geciteerd door
Geciteerd door
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
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
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
Hyperparameter and kernel learning for graph based semi-supervised classification
A Kapoor, Y Qi, H Ahn, R Picard
NIPS, 2005
Physically-animated Visual Display
CL Breazeal, RW Picard, H Ahn, G Hoffman
US Patent App. 12/390,405, 2009
Combining deep learning and survival analysis for asset health management
L Liao, H Ahn
International journal of prognostics and health management (IJPHM) 7 …, 2016
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
Modeling and analysis of affective influences on human experience, prediction, decision making, and behavior
H Ahn
Massachusetts Institute of Technology, 2010
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
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
Measuring Affective-Cognitive Experience and Predicting Market Success
H Ahn, R Picard
IEEE Transactions on Affective Computing, 2014
Mixture of gaussian processes for combining multiple modalities
A Kapoor, H Ahn, R Picard
Multiple Classifier Systems, 677-696, 2005
Sales Prediction with Social Media Analysis
HI Ahn, WS Spangler
Service Research and Innovation Institute (SRII) Annual Conference, 213-222, 2014
Monitoring and planning for failures of vehicular components
H Ahn, M Denesuk, A Hochstein, YT Leung
US Patent 9,454,855, 2016
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
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
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
Deep probabilistic decision machines
H Ahn, SO Aicinena, HA Mehta, YC Song
US Patent 11,966,840, 2024
Generating cumulative wear-based indicators for vehicular components
H Ahn, M Denesuk, A Hochstein, YT Leung
US Patent 9,286,735, 2016
Correcting existing predictive model outputs with social media features over multiple time scales
H Ahn, WS Spangler
US Patent 10,346,752, 2019
Het systeem kan de bewerking nu niet uitvoeren. Probeer het later opnieuw.
Artikelen 1–20