Angeliki Metallinou
Cited by
Cited by
Fine-grained natural language understanding
L Mathias, T Kollar, A Mandal, A Metallinou
US Patent 10,304,444, 2019
Context-sensitive multimodal emotion recognition from speech and facial expression using bidirectional lstm modeling
M Wöllmer, A Metallinou, F Eyben, B Schuller, S Narayanan
Context-sensitive learning for enhanced audiovisual emotion classification
A Metallinou, M Wollmer, A Katsamanis, F Eyben, B Schuller, ...
IEEE Transactions on Affective Computing 3 (2), 184-198, 2012
Annotation and processing of continuous emotional attributes: Challenges and opportunities
A Metallinou, S Narayanan
2013 10th IEEE international conference and workshops on automatic face and …, 2013
Interpreting ambiguous emotional expressions
E Mower, A Metallinou, CC Lee, A Kazemzadeh, C Busso, S Lee, ...
2009 3rd International Conference on Affective Computing and Intelligent …, 2009
Tracking continuous emotional trends of participants during affective dyadic interactions using body language and speech information
A Metallinou, A Katsamanis, S Narayanan
Image and Vision Computing 31 (2), 137-152, 2013
Multi-modal natural language processing
A Metallinou, R Goel, V Ishwar
US Patent 10,515,625, 2019
Audio-visual emotion recognition using gaussian mixture models for face and voice
A Metallinou, S Lee, S Narayanan
2008 Tenth IEEE international symposium on multimedia, 250-257, 2008
Decision level combination of multiple modalities for recognition and analysis of emotional expression
A Metallinou, S Lee, S Narayanan
2010 IEEE International Conference on Acoustics, Speech and Signal …, 2010
On evaluating and comparing conversational agents
A Venkatesh, C Khatri, A Ram, F Guo, R Gabriel, A Nagar, R Prasad, ...
The USC CreativeIT database: A multimodal database of theatrical improvisation
A Metallinou, CC Lee, C Busso, S Carnicke, S Narayanan
Multimodal Corpora: Advances in Capturing, Coding and Analyzing …, 2010
Using deep neural networks to improve proficiency assessment for children English language learners
A Metallinou, J Cheng
Fifteenth Annual Conference of the International Speech Communication …, 2014
The USC CreativeIT database of multimodal dyadic interactions: From speech and full body motion capture to continuous emotional annotations
A Metallinou, Z Yang, C Lee, C Busso, S Carnicke, S Narayanan
Language resources and evaluation 50, 497-521, 2016
Iterative feature normalization scheme for automatic emotion detection from speech
C Busso, S Mariooryad, A Metallinou, S Narayanan
IEEE transactions on Affective computing 4 (4), 386-397, 2013
Iterative feature normalization for emotional speech detection
C Busso, A Metallinou, SS Narayanan
2011 IEEE international conference on acoustics, speech and signal …, 2011
Visual emotion recognition using compact facial representations and viseme information
A Metallinou, C Busso, S Lee, S Narayanan
2010 IEEE International Conference on Acoustics, Speech and Signal …, 2010
Topic-based evaluation for conversational bots
F Guo, A Metallinou, C Khatri, A Raju, A Venkatesh, A Ram
arXiv preprint arXiv:1801.03622, 2018
Tracking changes in continuous emotion states using body language and prosodic cues
A Metallinou, A Katsamanis, Y Wang, S Narayanan
2011 IEEE international conference on acoustics, speech and signal …, 2011
Online embedding compression for text classification using low rank matrix factorization
A Acharya, R Goel, A Metallinou, I Dhillon
Proceedings of the aaai conference on artificial intelligence 33 (01), 6196-6203, 2019
Ma-dst: Multi-attention-based scalable dialog state tracking
A Kumar, P Ku, A Goyal, A Metallinou, D Hakkani-Tur
Proceedings of the AAAI conference on artificial intelligence 34 (05), 8107-8114, 2020
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