Follow
Valerio Biscione
Title
Cited by
Cited by
Year
Continuous user authentication using multi-modal biometrics
H Saevanee, N Clarke, S Furnell, V Biscione
Computers & Security 53, 234-246, 2015
1462015
Deep problems with neural network models of human vision
JS Bowers, G Malhotra, M Dujmović, ML Montero, C Tsvetkov, V Biscione, ...
Behavioral and Brain Sciences 46, e385, 2023
992023
Text-based active authentication for mobile devices
H Saevanee, N Clarke, S Furnell, V Biscione
ICT Systems Security and Privacy Protection: 29th IFIP TC 11 International …, 2014
462014
Convolutional Neural Networks Are Not Invariant to Translation, but They Can Learn to Be
V Biscione, J Bowers
Journal of Machine Learning Research 22 (229), 1-28, 2021
41*2021
Touchless haptic feedback for supernatural VR experiences
J Martinez, D Griffiths, V Biscione, O Georgiou, T Carter
2018 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), 629-630, 2018
412018
Haptic in-vehicle gesture controls
O Georgiou, V Biscione, A Harwood, D Griffiths, M Giordano, B Long, ...
Proceedings of the 9th international conference on automotive user …, 2017
342017
The human visual system and CNNs can both support robust online translation tolerance following extreme displacements
R Blything, V Biscione, II Vankov, CJH Ludwig, JS Bowers
Journal of Vision 21 (2), 9-9, 2021
13*2021
Manual choice reaction times in the rate-domain
CM Harris, J Waddington, V Biscione, S Manzi
Frontiers in human neuroscience 8, 418, 2014
122014
On the importance of severely testing deep learning models of cognition
JS Bowers, G Malhotra, F Adolfi, M Dujmović, ML Montero, V Biscione, ...
Cognitive Systems Research 82, 101158, 2023
102023
Mixed evidence for gestalt grouping in deep neural networks
V Biscione, JS Bowers
Computational Brain & Behavior 6 (3), 438-456, 2023
10*2023
Learning online visual invariances for novel objects via supervised and self-supervised training
V Biscione, JS Bowers
Neural Networks 150, 222-236, 2022
92022
A case for robust translation tolerance in humans and CNNs
R Blything, V Biscione, J Bowers
A commentary on Han et al. arXiv prepring, 2020
5*2020
Convolutional Neural Networks Trained to Identify Words Provide a Surprisingly Good Account of Visual Form Priming Effects
D Yin, V Biscione, JS Bowers
Computational Brain & Behavior 6 (3), 457-472, 2023
3*2023
Introducing the MindSet benchmark for comparing DNNs to human vision
V Biscione, D Yin, G Malhotra, M Dujmović, M Montero, G Puebla, ...
PsyArXiv, 2023
22023
External stores: simulating the evolution of storing goods and its effects on human behaviour
V Biscione, G Petrosino, D Parisi
Interaction Studies 16 (1), 118-140, 2015
22015
MindSet: Vision. A toolbox for testing DNNs on key psychological experiments
V Biscione, D Yin, G Malhotra, M Dujmovic, ML Montero, G Puebla, ...
arXiv preprint arXiv:2404.05290, 2024
2024
Clarifying status of DNNs as models of human vision
JS Bowers, G Malhotra, M Dujmović, ML Montero, C Tsvetkov, V Biscione, ...
Behavioral and Brain Sciences 46, 2023
2023
Disagreement and confusion over the status of DNNs as models of vision
JS Bowers, G Malhotra, M Dujmović, M Montero, C Tsvetkov, G Puebla, ...
PsyArXiv, 2023
2023
Optimal Response in Decision Making: An Experimental Investigation of Decision Strategies
V Biscione
University of Plymouth, 2017
2017
Investigating decision rules with a new experimental design: the EXACT paradigm
V Biscione, CM Harris
Frontiers in Behavioral Neuroscience 9, 288, 2015
2015
The system can't perform the operation now. Try again later.
Articles 1–20