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2020 – today
- 2024
[i8]Robert-Jan Bruintjes, Attila Lengyel, Marcos Baptista-Ríos, Osman Semih Kayhan, Davide Zambrano, Nergis Tomen, Jan van Gemert:
VIPriors 4: Visual Inductive Priors for Data-Efficient Deep Learning Challenges. CoRR abs/2406.18176 (2024)- 2023
- [c12]Maxime Istasse
, Vladimir Somers, Pratheeban Elancheliyan, Jaydeep De, Davide Zambrano:
DeepSportradar-v2: A Multi-Sport Computer Vision Dataset for Sport Understandings. MMSports@MM 2023: 23-29 - [i7]Robert-Jan Bruintjes, Attila Lengyel, Marcos Baptista-Ríos, Osman Semih Kayhan, Davide Zambrano, Nergis Tomen, Jan van Gemert:
VIPriors 3: Visual Inductive Priors for Data-Efficient Deep Learning Challenges. CoRR abs/2305.19688 (2023) - 2022
- [j5]Fabrizio Schiano, Dominik Natter, Davide Zambrano, Dario Floreano:
Autonomous Detection and Deterrence of Pigeons on Buildings by Drones. IEEE Access 10: 1745-1755 (2022) - [j4]Lynn K. A. Sörensen, Davide Zambrano, Heleen A. Slagter, Sander M. Bohté, H. Steven Scholte:
Leveraging Spiking Deep Neural Networks to Understand the Neural Mechanisms Underlying Selective Attention. J. Cogn. Neurosci. 34(4): 655-674 (2022) - [j3]Antonio Paolillo, Fabrizio Colella, Nicola Nosengo, Fabrizio Schiano, William J. Stewart, Davide Zambrano, Isabelle Chappuis, Rafael Lalive, Dario Floreano:
How to compete with robots by assessing job automation risks and resilient alternatives. Sci. Robotics 7(65) (2022) - [c11]Gabriel Van Zandycke, Vladimir Somers, Maxime Istasse, Carlo Del Don, Davide Zambrano:
DeepSportradar-v1: Computer Vision Dataset for Sports Understanding with High Quality Annotations. MMSports@MM 2022: 1-8 - [i6]Attila Lengyel, Robert-Jan Bruintjes, Marcos Baptista-Ríos, Osman Semih Kayhan, Davide Zambrano, Nergis Tomen, Jan van Gemert:
VIPriors 2: Visual Inductive Priors for Data-Efficient Deep Learning Challenges. CoRR abs/2201.08625 (2022) - [i5]Gabriel Van Zandycke, Vladimir Somers, Maxime Istasse, Carlo Del Don, Davide Zambrano:
DeepSportradar-v1: Computer Vision Dataset for Sports Understanding with High Quality Annotations. CoRR abs/2208.08190 (2022) - 2021
- [j2]Davide Zambrano, Pieter R. Roelfsema, Sander M. Bohté:
Learning continuous-time working memory tasks with on-policy neural reinforcement learning. Neurocomputing 461: 635-656 (2021) - [c10]Enrico Zardini, Davide Zappetti, Davide Zambrano, Giovanni Iacca, Dario Floreano:
Seeking quality diversity in evolutionary co-design of morphology and control of soft tensegrity modular robots. GECCO 2021: 189-197 - [i4]Enrico Zardini, Davide Zappetti, Davide Zambrano, Giovanni Iacca, Dario Floreano:
Seeking Quality Diversity in Evolutionary Co-design of Morphology and Control of Soft Tensegrity Modular Robots. CoRR abs/2104.12175 (2021)
2010 – 2019
- 2018
- [c9]Marios Karamanis, Davide Zambrano, Sander M. Bohté:
Continuous-Time Spike-Based Reinforcement Learning for Working Memory Tasks. ICANN (2) 2018: 250-262 - [c8]Isabella Pozzi, Roeland Nusselder, Davide Zambrano, Sander M. Bohté:
Gating Sensory Noise in a Spiking Subtractive LSTM. ICANN (1) 2018: 284-293 - [c7]Bojian Yin, Marleen Balvert, Davide Zambrano, Alexander Schönhuth, Sander M. Bohté:
An image representation based convolutional network for DNA classification. ICLR (Poster) 2018 - [i3]Bojian Yin, Marleen Balvert, Davide Zambrano, Alexander Schönhuth, Sander M. Bohté:
An image representation based convolutional network for DNA classification. CoRR abs/1806.04931 (2018) - 2017
- [i2]Davide Zambrano, Roeland Nusselder, H. Steven Scholte, Sander M. Bohté:
Efficient Computation in Adaptive Artificial Spiking Neural Networks. CoRR abs/1710.04838 (2017) - 2016
- [i1]Davide Zambrano, Sander M. Bohté:
Fast and Efficient Asynchronous Neural Computation with Adapting Spiking Neural Networks. CoRR abs/1609.02053 (2016) - 2015
- [c6]Davide Zambrano, Pieter R. Roelfsema, Sander M. Bohté:
Continuous-time on-policy neural Reinforcement Learning of working memory tasks. IJCNN 2015: 1-8 - 2014
- [j1]Federico Corradi, Davide Zambrano, Marco Raglianti, Giovanni Passetti, Cecilia Laschi, Giacomo Indiveri:
Towards a Neuromorphic Vestibular System. IEEE Trans. Biomed. Circuits Syst. 8(5): 669-680 (2014) - [c5]Davide Zambrano, Jaldert O. Rombouts, Cecilia Laschi, Sander M. Bohté:
Spiking AGREL. ESANN 2014 - 2013
- [c4]Giovanni Passetti, Federico Corradi, Marco Raglianti, Davide Zambrano, Cecilia Laschi, Giacomo Indiveri:
Implementation of a neuromorphic vestibular sensor with analog VLSI neurons. BioCAS 2013: 174-177 - 2012
- [b1]Davide Zambrano:
Gaze control modelling and robotic implementation. University of Pisa, Italy, 2012 - 2010
- [c3]Elena Franchi, Egidio Falotico, Davide Zambrano, Giovanni Gerardo Muscolo, Laura Marazzato, Paolo Dario, Cecilia Laschi:
A comparison between two bio-inspired adaptive models of Vestibulo-Ocular Reflex (VOR) implemented on the iCub robot. Humanoids 2010: 251-256 - [c2]Egidio Falotico, Davide Zambrano, Giovanni Gerardo Muscolo, Laura Marazzato, Paolo Dario, Cecilia Laschi:
Implementation of a bio-inspired visual tracking model on the iCub robot. RO-MAN 2010: 564-569
2000 – 2009
- 2009
- [c1]Egidio Falotico, Matteo Taiana, Davide Zambrano, Alexandre Bernardino, José Santos-Victor, Paolo Dario, Cecilia Laschi:
Predictive tracking across occlusions in the iCub robot. Humanoids 2009: 486-491
Coauthor Index
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