Massimiliano Patacchiola
Massimiliano Patacchiola
University of Edinburgh, Postdoctoral Researcher
Verified email at ed.ac.uk - Homepage
TitleCited byYear
Head pose estimation in the wild using Convolutional Neural Networks and adaptive gradient methods
M Patacchiola, A Cangelosi
Pattern Recognition, 2017
792017
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
232017
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
202017
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
182016
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
102018
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
62016
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
52019
Investigating intertemporal choice through experimental evolutionary robotics
F Paglieri, D Parisi, M Patacchiola, G Petrosino
Behavioural processes 115, 1-18, 2015
52015
A Developmental Model of Trust in Humanoid Robots
M Patacchiola
University of Plymouth, 2018
22018
Y-Autoencoders: disentangling latent representations via sequential-encoding
M Patacchiola, P Fox-Roberts, E Rosten
https://arxiv.org/abs/1907.10949, 2019
12019
Deep Kernel Transfer in Gaussian Processes for Few-shot Learning
M Patacchiola, J Turner, EJ Crowley, A Storkey
https://arxiv.org/abs/1910.05199, 2019
2019
Sample-efficient Deep Reinforcement Learning with Imaginary Rollouts for Human-Robot Interaction
M Thabet, M Patacchiola, A Cangelosi
https://arxiv.org/abs/1908.05546, 2019
2019
Generalisation of Anthropomorphic Stereotype
D Zanatto, M Patacchiola, A Cangelosi, J Goslin
International Journal of Social Robotics, 2019
2019
Investigating cooperation with robotic peers
D Zanatto, M Patacchiola, J Goslin, A Cangelosi
PloS one 14 (11), 2019
2019
High five! Towards the development of reaching with CNNs on a soft robot arm
B Denoun, M Patacchiola, MF Stoelen, A Cangelosi
Toward Imagination-assisted Deep Reinforcement Learning for Human-robot Interaction
M Thabet, M Patacchiola, A Cangelosi
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Articles 1–16