| Exploring machine learning approaches for classifying mental workload using fNIRS data from HCI tasks J Benerradi, H A. Maior, A Marinescu, J Clos, M L. Wilson Proceedings of the Halfway to the Future Symposium 2019, 1-11, 2019 | 41 | 2019 |
| Understanding the ethical concerns for neurotechnology in the future of work W Martinez, J Benerradi, S Midha, HA Maior, ML Wilson 2022 Symposium on Human-Computer Interaction for Work, 1-19, 2022 | 8 | 2022 |
| Jess+: AI and Robotics with Inclusive Music-Making C Vear, A Hazzard, S Moroz, J Benerradi Association for Computing Machinery (ACM), 2024 | 5 | 2024 |
| Benchmarking framework for machine learning classification from fNIRS data J Benerradi, J Clos, A Landowska, MF Valstar, ML Wilson Frontiers in Neuroergonomics 4, 2023 | 4 | 2023 |
| Rank-1 CNN for mental workload classification from EEG S Sedlar, J Benerradi, C Le Breton, R Deriche, T Papadopoulo, ... Neuroergonomics conference, 2021 | 2 | 2021 |
| Exploring the impact of verbal-imagery cognitive style on web search behaviour and mental workload H Tang, J Benerradi, HA Maior, M Pike, A Landowska, ML Wilson Proceedings of the 2024 conference on human information interaction and …, 2024 | 1 | 2024 |
| Jess+: designing embodied AI for interactive music-making C Vear, J Benerradi arXiv preprint arXiv:2412.06469, 2024 | | 2024 |
| Workload BCI: software for real-time fNIRS and EEG experiments J Benerradi Zenodo https://doi.org/10.5281/zenodo.14410195, 2024 | | 2024 |
| Building an Embodied Musicking Dataset for co-creative music-making C Vear, F Poltronieri, B Didonato, Y Zhang, J Benerradi, S Hutchinson, ... | | 2024 |
| A benchmarking framework for improving machine learning with fNIRS neuroimaging data J Benerradi University of Nottingham, 2023 | | 2023 |
| Benchmarking framework for machine learning with fNIRS J Benerradi, J Clos, A Landowska, MF Valstar, ML Wilson Neuroergonomics conference, 2021 | | 2021 |
| Mesure de l’attention auditive par électroencéphalographie J Benerradi Université de Lorraine; Inria-Sophia Antipolis, 2019 | | 2019 |
| Exploring Machine Learning Approaches for Classifying Mental Workload using fNIRS Data from HCI Tasks A Marinescu, J Clos, J Benerradi, ML Wilson, H Maior University of Lincoln, 0 | | |
Max L. WilsonAssociate Professor, Mixed Reality Lab, School of Computer Science, University of NottinghamVerifierad e-postadress på nottingham.ac.uk