Davide Zambrano
Davide Zambrano
Automated Content Lab - Sportradar
Verified email at - Homepage
Cited by
Cited by
Sparse computation in adaptive spiking neural networks
D Zambrano, R Nusselder, HS Scholte, SM BohtÚ
Frontiers in neuroscience 12, 414117, 2019
DeepSportradar-v1: Computer vision dataset for sports understanding with high quality annotations
G Van Zandycke, V Somers, M Istasse, CD Don, D Zambrano
Proceedings of the 5th International ACM Workshop on Multimedia Contentá…, 2022
An image representation based convolutional network for DNA classification
B Yin, M Balvert, D Zambrano, A Sch÷nhuth, S Bohte
arXiv preprint arXiv:1806.04931, 2018
Towards a Neuromorphic Vestibular System
F Corradi, D Zambrano, M Raglianti, G Passetti, C Laschi, G Indiveri
IEEE, 2014
The Morphological Computation Principles as a New Paradigm for Robotic Design
D Zambrano, C Matteo, C Laschi
Opinions and Outlooks on Morphological Computation, 214–225, 2014
How to compete with robots by assessing job automation risks and resilient alternatives
A Paolillo, F Colella, N Nosengo, F Schiano, W Stewart, D Zambrano, ...
Science robotics 7 (65), eabg5561, 2022
A comparison between two bio-inspired adaptive models of Vestibulo-Ocular Reflex (VOR) implemented on the iCub robot
E Franchi, E Falotico, D Zambrano, GG Muscolo, L Marazzato, P Dario, ...
2010 10th IEEE-RAS International Conference on Humanoid Robots, 251-256, 2010
Seeking quality diversity in evolutionary co-design of morphology and control of soft tensegrity modular robots
E Zardini, D Zappetti, D Zambrano, G Iacca, D Floreano
Proceedings of the Genetic and Evolutionary Computation Conference, 189-197, 2021
Vipriors 3: Visual inductive priors for data-efficient deep learning challenges
RJ Bruintjes, A Lengyel, MB Rios, OS Kayhan, D Zambrano, N Tomen, ...
arXiv preprint arXiv:2305.19688, 2023
A model of the smooth pursuit eye movement with prediction and learning
D Zambrano, E Falotico, L Manfredi, C Laschi
Applied Bionics and Biomechanics 7 (2), 109-118, 2010
Implementation of a bio-inspired visual tracking model on the iCub robot
E Falotico, D Zambrano, GG Muscolo, L Marazzato, P Dario, C Laschi
19th International Symposium in Robot and Human Interactive Communicationá…, 2010
Predictive tracking across occlusions in the icub robot
E Falotico, M Taiana, D Zambrano, A Bernardino, J Santos-Victor, P Dario, ...
2009 9th IEEE-RAS International Conference on Humanoid Robots, 486-491, 2009
Continuous-time on-policy neural reinforcement learning of working memory tasks
D Zambrano, PR Roelfsema, SM Bohte
Neural Networks (IJCNN), 2015 International Joint Conference on, 2015
Autonomous detection and deterrence of pigeons on buildings by drones
F Schiano, D Natter, D Zambrano, D Floreano
IEEE Access 10, 1745-1755, 2021
Leveraging spiking deep neural networks to understand the neural mechanisms underlying selective attention
LKA S÷rensen, D Zambrano, HA Slagter, SM BohtÚ, HS Scholte
Journal of cognitive neuroscience 34 (4), 655-674, 2022
Vipriors 2: visual inductive priors for data-efficient deep learning challenges
A Lengyel, RJ Bruintjes, MB Rios, OS Kayhan, D Zambrano, N Tomen, ...
arXiv preprint arXiv:2201.08625, 2022
DeepSportradar-v2: A Multi-Sport Computer Vision Dataset for Sport Understandings
M Istasse, V Somers, P Elancheliyan, J De, D Zambrano
Proceedings of the 6th International Workshop on Multimedia Content Analysisá…, 2023
Gating sensory noise in a spiking subtractive lstm
I Pozzi, R Nusselder, D Zambrano, S BohtÚ
Artificial Neural Networks and Machine Learning–ICANN 2018: 27thá…, 2018
A comparison of human trajectory planning models for implementation on humanoid robot
D Zambrano, D Bernardin, D Bennequin, C Laschi, A Berthoz
2012 4th IEEE RAS & EMBS International Conference on Biomedical Robotics andá…, 2012
Learning continuous-time working memory tasks with on-policy neural reinforcement learning
D Zambrano, PR Roelfsema, S Bohte
Neurocomputing 461, 635-656, 2021
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