| Fine-grained natural language understanding L Mathias, T Kollar, A Mandal, A Metallinou US Patent 10,304,444, 2019 | 344 | 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 | 274 | 2010 |
| 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 | 230 | 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 | 212 | 2013 |
| Multi-modal natural language processing A Metallinou, R Goel, V Ishwar US Patent 10,515,625, 2019 | 201 | 2019 |
| 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 | 173 | 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 | 139 | 2013 |
| 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 | 132 | 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 | 121 | 2010 |
| On evaluating and comparing conversational agents A Venkatesh, C Khatri, A Ram, F Guo, R Gabriel, A Nagar, R Prasad, ... | 117 | 2017 |
| The USC CreativeIT database: A multimodal database of theatrical improvisation A Metallinou, CC Lee, C Busso, S Carnicke, S Narayanan, D Tx Multimodal Corpora: Advances in Capturing, Coding and Analyzing …, 2010 | 106 | 2010 |
| Using deep neural networks to improve proficiency assessment for children English language learners. A Metallinou, J Cheng INTERSPEECH, 1468-1472, 2014 | 97 | 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 (3), 497-521, 2016 | 96 | 2016 |
| Dialog management for multiple users P Krishnan, A Mandal, SR Jonnalagadda, N Strom, A Rastrow, Y Shi, ... US Patent 11,908,468, 2024 | 90 | 2024 |
| 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 | 80 | 2013 |
| 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 | 79 | 2019 |
| Iterative feature normalization for emotional speech detection C Busso, A Metallinou, SS Narayanan 2011 IEEE international conference on acoustics, speech and signal …, 2011 | 74 | 2011 |
| 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 | 72 | 2020 |
| Controlled text generation for data augmentation in intelligent artificial agents N Malandrakis, M Shen, A Goyal, S Gao, A Sethi, A Metallinou arXiv preprint arXiv:1910.03487, 2019 | 71 | 2019 |
| Unsupervised transfer learning for spoken language understanding in intelligent agents A Siddhant, A Goyal, A Metallinou Proceedings of the AAAI conference on artificial intelligence 33 (01), 4959-4966, 2019 | 69 | 2019 |
