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Hyungil Ahn
Hyungil Ahn
Chief AI Scientist, Data Science and AI Research @ Noodle.ai
Verified email at noodle.ai
Title
Cited by
Cited by
Year
Affective-cognitive learning and decision making: A motivational reward framework for affective agents
H Ahn, R Picard
Affective computing and intelligent interaction, 866-873, 2005
1202005
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
1112006
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, 2011
742011
Hyperparameter and kernel learning for graph based semi-supervised classification
A Kapoor, Y Qi, H Ahn, R Picard
NIPS, 2005
672005
Modeling and analysis of affective influences on human experience, prediction, decision making, and behavior
H Ahn
Massachusetts Institute of Technology, 2010
382010
Physically-animated Visual Display
CL Breazeal, RW Picard, H Ahn, G Hoffman
US Patent App. 12/390,405, 2009
382009
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
372013
Combining deep learning and survival analysis for asset health management
L Liao, H Ahn
International journal of prognostics and health management (IJPHM) 7 …, 2016
352016
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, 582-593, 2007
342007
Mixture of gaussian processes for combining multiple modalities
A Kapoor, H Ahn, R Picard
Multiple Classifier Systems, 677-696, 2005
312005
Switching vector autoregressive models with higher-order regime dynamics Application to prognostics and health management
A Hochstein, HI Ahn, YT Leung, M Denesuk
Prognostics and Health Management (PHM), 2014 IEEE Conference on, 1-10, 2014
272014
Measuring Affective-Cognitive Experience and Predicting Market Success
H Ahn, R Picard
IEEE Transactions on Affective Computing, 2014
262014
Monitoring and Planning for Failures of Vehicular Components
H Ahn, M Denesuk, A Hochstein, YT Leung
US Patent 20,160,093,119, 2016
202016
Sales Prediction with Social Media Analysis
HI Ahn, WS Spangler
Service Research and Innovation Institute (SRII) Annual Conference, 213-222, 2014
202014
Effects of guided and unguided style learning on user attention in a virtual environment
J Goo, K Park, M Lee, J Park, M Hahn, H Ahn, R Picard
Technologies for E-Learning and Digital Entertainment, 1208-1222, 2006
162006
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 20,160,093,116, 2016
92016
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
Service Operations and Logistics, and Informatics (SOLI), 2013 IEEE …, 2013
92013
Generating cumulative wear-based indicators for vehicular components
H Ahn, M Denesuk, A Hochstein, YT Leung
US Patent 9,286,735, 2016
52016
Correcting Existing Predictive Model Outputs with Social Media Features Over Multiple Time Scales
H Ahn, WS Spangler
US Patent 20,150,302,315, 2015
5*2015
Multimodal Affective-Cognitive Product Evaluation
H Ahn, R Picard
US Patent App. 12/567,115, 2011
42011
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