| Head pose estimation in the wild using Convolutional Neural Networks and adaptive gradient methods M Patacchiola, A Cangelosi Pattern Recognition, 2017 | 195 | 2017 |
| Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels M Patacchiola, J Turner, EJ Crowley, M O'Boyle, A Storkey Advances in Neural Information Processing Systems, 2020 | 69* | 2020 |
| Toward End-To-End Control for UAV Autonomous Landing Via Deep Reinforcement Learning R Polvara, M Patacchiola, S Sharma, J Wan, A Manning, S Robert, ... The 2018 International Conference on Unmanned Aircraft Systems, 2018 | 62 | 2018 |
| Autonomous Quadrotor Landing using Deep Reinforcement Learning R Polvara, M Patacchiola, S Sharma, J Wan, A Manning, R Sutton, ... https://arxiv.org/abs/1709.03339, 2017 | 49 | 2017 |
| Would a Robot Trust You? Developmental Robotics Model of Trust and Theory of Mind S Vinanzi, M Patacchiola, A Chella, A Cangelosi Royal Society of London. Philosophical Transactions B. Biological Sciences …, 2019 | 48 | 2019 |
| Emotion Recognition in the Wild using Deep Neural Networks and Bayesian Classifiers L Surace, M Patacchiola, EB Sonmez, W Spataro, A Cangelosi The Fifth Emotion Recognition in the Wild (EmotiW) Challenge, 2017 | 40 | 2017 |
| Priming anthropomorphism: Can the credibility of humanlike robots be transferred to non-humanlike robots? D Zanatto, M Patacchiola, J Goslin, A Cangelosi 2016 11th ACM/IEEE International Conference on Human-Robot Interaction (HRI …, 2016 | 35 | 2016 |
| Defining Benchmarks for Continual Few-Shot Learning A Antoniou, M Patacchiola, M Ochal, A Storkey NeurIPS MetaLearn 2020: Workshop on Meta-Learning, 2020 | 27 | 2020 |
| Self-Supervised Relational Reasoning for Representation Learning M Patacchiola, A Storkey Advances in Neural Information Processing Systems, 2020 | 21 | 2020 |
| Sim-to-Real Quadrotor Landing via Sequential Deep Q-Networks and Domain Randomization R Polvara, M Patacchiola, M Hanheide, G Neumann Robotics 9 (1), 2020 | 16 | 2020 |
| Do Humans Imitate Robots? An Investigation of Strategic Social Learning in Human-Robot Interaction D Zanatto, M Patacchiola, J Goslin, S Thill, A Cangelosi In Proceedings of the 2020 ACM/IEEE International Conference on Human-Robot …, 2020 | 13 | 2020 |
| Generalisation of Anthropomorphic Stereotype D Zanatto, M Patacchiola, A Cangelosi, J Goslin International Journal of Social Robotics, 2019 | 13 | 2019 |
| A developmental bayesian model of trust in artificial cognitive systems M Patacchiola, A Cangelosi 2016 Joint IEEE International Conference on Development and Learning and …, 2016 | 13 | 2016 |
| Investigating cooperation with robotic peers D Zanatto, M Patacchiola, J Goslin, A Cangelosi PloS one 14 (11), e0225028, 2019 | 11 | 2019 |
| A Developmental Cognitive Architecture for Trust and Theory of Mind in Humanoid Robots M Patacchiola, A Cangelosi IEEE Transactions on Cybernetics, 2020 | 9 | 2020 |
| Sample-efficient Deep Reinforcement Learning with Imaginary Rollouts for Human-Robot Interaction M Thabet, M Patacchiola, A Cangelosi 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019 | 9 | 2019 |
| Y-Autoencoders: disentangling latent representations via sequential-encoding M Patacchiola, P Fox-Roberts, E Rosten Pattern Recognition Letters 140, 59-65, 2020 | 7 | 2020 |
| Memory Efficient Meta-Learning with Large Images J Bronskill, D Massiceti, M Patacchiola, K Hofmann, S Nowozin, ... Advances in Neural Information Processing Systems 34, 2021 | 5 | 2021 |
| Few-Shot Learning with Class Imbalance M Ochal, M Patacchiola, A Storkey, J Vazquez, S Wang https://arxiv.org/abs/2101.02523, 2021 | 5 | 2021 |
| Investigating intertemporal choice through experimental evolutionary robotics F Paglieri, D Parisi, M Patacchiola, G Petrosino Behavioural processes 115, 1-18, 2015 | 5 | 2015 |
Angelo CangelosiProfessor of Machine Learning and RoboticsVerified email at manchester.ac.uk
