Davide Zambrano

Orcid: 0000-0003-3977-4647

According to our database1, Davide Zambrano authored at least 23 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
VIPriors 4: Visual Inductive Priors for Data-Efficient Deep Learning Challenges.
CoRR, 2024

2023
VIPriors 3: Visual Inductive Priors for Data-Efficient Deep Learning Challenges.
CoRR, 2023

DeepSportradar-v2: A Multi-Sport Computer Vision Dataset for Sport Understandings.
Proceedings of the 6th International Workshop on Multimedia Content Analysis in Sports, 2023

2022
How to compete with robots by assessing job automation risks and resilient alternatives.
Sci. Robotics, 2022

Leveraging Spiking Deep Neural Networks to Understand the Neural Mechanisms Underlying Selective Attention.
J. Cogn. Neurosci., 2022

VIPriors 2: Visual Inductive Priors for Data-Efficient Deep Learning Challenges.
CoRR, 2022

Autonomous Detection and Deterrence of Pigeons on Buildings by Drones.
IEEE Access, 2022

DeepSportradar-v1: Computer Vision Dataset for Sports Understanding with High Quality Annotations.
Proceedings of the MMSports@MM 2022: Proceedings of the 5th International ACM Workshop on Multimedia Content Analysis in Sports, 2022

2021
Learning continuous-time working memory tasks with on-policy neural reinforcement learning.
Neurocomputing, 2021

Seeking quality diversity in evolutionary co-design of morphology and control of soft tensegrity modular robots.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2018
An image representation based convolutional network for DNA classification.
Proceedings of the 6th International Conference on Learning Representations, 2018

Gating Sensory Noise in a Spiking Subtractive LSTM.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Continuous-Time Spike-Based Reinforcement Learning for Working Memory Tasks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

2017
Efficient Computation in Adaptive Artificial Spiking Neural Networks.
CoRR, 2017

2016
Fast and Efficient Asynchronous Neural Computation with Adapting Spiking Neural Networks.
CoRR, 2016

2015
Continuous-time on-policy neural Reinforcement Learning of working memory tasks.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014
Towards a Neuromorphic Vestibular System.
IEEE Trans. Biomed. Circuits Syst., 2014

Spiking AGREL.
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

2013
Implementation of a neuromorphic vestibular sensor with analog VLSI neurons.
Proceedings of the 2013 IEEE Biomedical Circuits and Systems Conference (BioCAS), Rotterdam, The Netherlands, October 31, 2013

2012
Gaze control modelling and robotic implementation.
PhD thesis, 2012

2010
Implementation of a bio-inspired visual tracking model on the iCub robot.
Proceedings of the 19th IEEE International Conference on Robot and Human Interactive Communication, 2010

A comparison between two bio-inspired adaptive models of Vestibulo-Ocular Reflex (VOR) implemented on the iCub robot.
Proceedings of the 10th IEEE-RAS International Conference on Humanoid Robots, 2010

2009
Predictive tracking across occlusions in the iCub robot.
Proceedings of the 9th IEEE-RAS International Conference on Humanoid Robots, 2009


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