| Continuous user authentication using multi-modal biometrics H Saevanee, N Clarke, S Furnell, V Biscione Computers & Security 53, 234-246, 2015 | 150 | 2015 |
| 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 | 129 | 2023 |
| 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 | 50* | 2021 |
| 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 | 45 | 2014 |
| 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 | 43 | 2018 |
| 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 | 34 | 2017 |
| 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 | 13 | 2023 |
| Mixed evidence for gestalt grouping in deep neural networks V Biscione, JS Bowers Computational Brain & Behavior 6 (3), 438-456, 2023 | 13* | 2023 |
| 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 | 13 | 2014 |
| Learning online visual invariances for novel objects via supervised and self-supervised training V Biscione, JS Bowers Neural Networks 150, 222-236, 2022 | 10 | 2022 |
| & Blything, R.(2022). 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, 1-74, 0 | 6 | |
| 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 | 4* | 2023 |
| 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 | 2 | 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 | 2 | 2023 |
| 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 | 2 | 2015 |
| 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 |
| Disagreement and confusion over the status of DNNs as models of vision JS Bowers, G Malhotra, M Dujmović, ML Montero, C Tsvetkov, G Puebla, ... | | 2023 |
| Optimal Response in Decision Making: An Experimental Investigation of Decision Strategies V Biscione | | 2017 |
