| Multimodal child-robot interaction: Building social bonds T Belpaeme, P Baxter, R Read, R Wood, H Cuayáhuitl, B Kiefer, ... Journal of Human-Robot Interaction 1 (2), 33-53, 2012 | 418 | 2012 |
| Human-computer dialogue simulation using hidden markov models H Cuayáhuitl, S Renals, O Lemon, H Shimodaira IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), 290-295, 2005 | 161 | 2005 |
| A survey on deep reinforcement learning for audio-based applications S Latif, H Cuayáhuitl, F Pervez, F Shamshad, HS Ali, E Cambria Artificial Intelligence Review 56 (3), 2193-2240, 2023 | 138 | 2023 |
| Strategic dialogue management via deep reinforcement learning H Cuayáhuitl, S Keizer, O Lemon arXiv preprint arXiv:1511.08099, 2015 | 138 | 2015 |
| Evaluation of a hierarchical reinforcement learning spoken dialogue system H Cuayáhuitl, S Renals, O Lemon, H Shimodaira Computer Speech & Language 24 (2), 395-429, 2010 | 123 | 2010 |
| SimpleDS: A Simple Deep Reinforcement Learning Dialogue System H Cuayáhuitl Dialogues with Social Robots: Enablements, Analyses, and Evaluation, 109-118, 2016 | 118 | 2016 |
| Ensemble-based deep reinforcement learning for chatbots H Cuayáhuitl, D Lee, S Ryu, Y Cho, S Choi, S Indurthi, S Yu, H Choi, ... Neurocomputing 366, 118-130, 2019 | 117 | 2019 |
| Transformers in speech processing: A survey S Latif, A Zaidi, H Cuayahuitl, F Shamshad, M Shoukat, J Qadir arXiv preprint arXiv:2303.11607, 2023 | 113 | 2023 |
| Sparks of large audio models: A survey and outlook S Latif, M Shoukat, F Shamshad, M Usama, Y Ren, H Cuayáhuitl, W Wang, ... arXiv preprint arXiv:2308.12792, 2023 | 62 | 2023 |
| Evaluating persuasion strategies and deep reinforcement learning methods for negotiation dialogue agents S Keizer, M Guhe, H Cuayáhuitl, I Efstathiou, KP Engelbrecht, M Dobre, ... EACL 2017 Software Demonstrations, 480-484, 2017 | 61 | 2017 |
| Children's adaptation in multi-session interaction with a humanoid robot M Nalin, I Baroni, I Kruijff-Korbayová, L Canamero, M Lewis, A Beck, ... IEEE International Symposium on Robot and Human Interactive Communication …, 2012 | 56 | 2012 |
| Reinforcement learning of dialogue strategies with hierarchical abstract machines H Cuayáhuitl, S Renals, O Lemon, H Shimodaira IEEE Spoken Language Technology Workshop (SLT), 182-185, 2006 | 55 | 2006 |
| Lightweight non-intrusive load monitoring employing pruned sequence-to-point learning J Barber, H Cuayáhuitl, M Zhong, W Luan International Workshop on Non-Intrusive Load Monitoring, 11-15, 2020 | 53 | 2020 |
| Deep reinforcement learning for multi-domain dialogue systems H Cuayáhuitl, S Yu, A Williamson, J Carse arXiv preprint arXiv:1611.08675, 2016 | 52 | 2016 |
| Systematic analysis of retrieval-augmented generation-based llms for medical chatbot applications A Bora, H Cuayáhuitl Machine Learning and Knowledge Extraction 6 (4), 2355-2374, 2024 | 51 | 2024 |
| Hierarchical reinforcement learning and hidden markov models for task-oriented natural language generation N Dethlefs, H Cuayáhuitl Proceedings of the 49th annual meeting of the association for computational …, 2011 | 47 | 2011 |
| Combining Hierarchical Reinforcement Learning and Bayesian Networks for Natural Language Generation in Situated Dialogue N Dethlefs, H Cuayáhuitl | 40 | 2011 |
| Generating adaptive route instructions using hierarchical reinforcement learning H Cuayáhuitl, N Dethlefs, L Frommberger, KF Richter, J Bateman International conference on spatial cognition, 319-334, 2010 | 38 | 2010 |
| Scaling up deep reinforcement learning for multi-domain dialogue systems H Cuayáhuitl, S Yu, A Williamson, J Carse International Joint Conference on Neural Networks (IJCNN), 3339-3346, 2017 | 37 | 2017 |
| Machine learning for interactive systems and robots: a brief introduction H Cuayáhuitl, M Van Otterlo, N Dethlefs, L Frommberger Proceedings of the 2nd Workshop on Machine Learning for Interactive Systems …, 2013 | 37 | 2013 |
Nina DethlefsProfessor of Computer Science, Loughborough UniversityVerified email at lboro.ac.uk
