Massimiliano Patacchiola
Massimiliano Patacchiola
University of Edinburgh, Postdoctoral Researcher
Verified email at - Homepage
Cited by
Cited by
Head pose estimation in the wild using Convolutional Neural Networks and adaptive gradient methods
M Patacchiola, A Cangelosi
Pattern Recognition, 2017
Autonomous Quadrotor Landing using Deep Reinforcement Learning
R Polvara, M Patacchiola, S Sharma, J Wan, A Manning, R Sutton, ..., 2017
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
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
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
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
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
Investigating intertemporal choice through experimental evolutionary robotics
F Paglieri, D Parisi, M Patacchiola, G Petrosino
Behavioural processes 115, 1-18, 2015
Defining Benchmarks for Continual Few-Shot Learning
A Antoniou, M Patacchiola, M Ochal, A Storkey, 2020
Investigating cooperation with robotic peers
D Zanatto, M Patacchiola, J Goslin, A Cangelosi
PloS one 14 (11), e0225028, 2019
Deep Kernel Transfer in Gaussian Processes for Few-shot Learning
M Patacchiola, J Turner, EJ Crowley, A Storkey, 2019
A Developmental Model of Trust in Humanoid Robots
M Patacchiola
University of Plymouth, 2018
The Simplest Classifier: Histogram Comparison
M Patacchiola
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
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
Generalisation of Anthropomorphic Stereotype
D Zanatto, M Patacchiola, A Cangelosi, J Goslin
International Journal of Social Robotics, 2019
A Developmental Cognitive Architecture for Trust and Theory of Mind in Humanoid Robots
M Patacchiola, A Cangelosi
IEEE Transactions on Cybernetics, 2020
Self-Supervised Relational Reasoning for Representation Learning
M Patacchiola, A Storkey, 2020
Y-Autoencoders: disentangling latent representations via sequential-encoding
M Patacchiola, P Fox-Roberts, E Rosten, 2019
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
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