Showing results 1 to 20 of 28
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| Issue Date | Title | Involved Person(s) |
| 2-Nov-2023 | A framework for assessing and certifying explainability of health-oriented AI systems | Denzel, Philipp; Brunner, Stefan; Luley, Paul-Philipp; Frischknecht-Gruber, Carmen; Reif, Monika Ulrike, et al |
| 9-Jun-2021 | A survey of un-, weakly-, and semi-supervised learning methods for noisy, missing and partial labels in industrial vision applications | Simmler, Niclas; Sager, Pascal; Andermatt, Philipp; Chavarriaga, Ricardo; Schilling, Frank-Peter, et al |
| 11-Jan-2023 | certAInty : a certification scheme for AI systems (Innosuisse project) | Weng, Joanna; Reif, Monika; Chavarriaga, Ricardo; Schilling, Frank-Peter |
| 2021 | Closed-loop EEG study on visual recognition during driving | Aydarkhanov, Ruslan; Ušćumlić, Marija; Chavarriaga, Ricardo; Gheorghe, Lucian; Millán, José del R |
| 10-Aug-2020 | Context-aware learning for generative models | Perdikis, Serafeim; Leeb, Robert; Chavarriaga, Ricardo; Millán, José del R. |
| 16-Dec-2021 | Customizing skills for assistive robotic manipulators, an inverse reinforcement learning approach with error-related potentials | Batzianoulis, Iason; Iwane, Fumiaki; Wei, Shupeng; Correia, Carolina Gaspar Pinto Ramos; Chavarriaga, Ricardo, et al |
| 2021 | EEG correlates of difficulty levels in dynamical transitions of simulated flying and mapping tasks | Jao, Ping-Keng; Chavarriaga, Ricardo; Dell'Agnola, Fabio; Arza, Adriana; Atienza, David, et al |
| 2023 | EEG error-related potentials encode magnitude of errors and individual perceptual thresholds | Iwane, Fumiaki; Sobolewski, Aleksander; Chavarriaga, Ricardo; Millán, José del R. |
| 2023 | EEG signature of breaks in embodiment in VR | Porssut, Thibault; Iwane, Fumiaki; Chavarriaga, Ricardo; Blanke, Olaf; Millán, José Del R., et al |
| 2023 | EEG-based brain-computer interfaces are vulnerable to backdoor attacks | Meng, Lubin; Jiang, Xue; Huang, Jian; Zeng, Zhigang; Yu, Shan, et al |
| 2021 | EEG-based online regulation of difficulty in simulated flying | Jao, Ping-Keng; Chavarriaga, Ricardo; Millan, Jose del R. |
| Mar-2020 | General principles of machine learning for brain-computer interfacing | Iturrate, Iñaki; Chavarriaga, Ricardo; Millán, José del R. |
| 15-Dec-2021 | International data governance for neuroscience | Eke, Damian O; Bernard, Amy; Bjaalie, Jan G; Chavarriaga, Ricardo; Hanakawa, Takashi, et al |
| 2021 | Invariability of EEG error-related potentials during continuous feedback protocols elicited by erroneous actions at predicted or unpredicted states | Iwane, Fumiaki; Iturrate, Iñaki; Chavarriaga, Ricardo; Millán, José del R. |
| 2022 | Machine-learning based monitoring of cognitive workload in rescue missions with drones | Dell'Agnola, Fabio; Jao, Ping-Keng; Arza, Adriana; Chavarriaga, Ricardo; Millan, Jose Del R., et al |
| 19-Mar-2021 | Mobile brain/body imaging of landmark‐based navigation with high‐density EEG | Delaux, Alexandre; Saint Aubert, Jean‐Baptiste; Ramanoël, Stephen; Bécu, Marcia; Gehrke, Lukas, et al |
| 2023 | Neurotechnologies : the new frontier for international governance | Chavarriaga, Ricardo; Rickli, Jean-Marc; Mantellassi, Federico |
| 25-Jun-2020 | Spatial covariance improves BCI performance for late ERPs components with high temporal variability | Aydarkhanov, Ruslan; Ušćumlić, Marija; Chavarriaga, Ricardo; Gheorghe, Lucian; del R Millán, José |
| 2021 | Standardization of neurotechnology for brain-machine interfacing : state of the art and recommendations | Chavarriaga, Ricardo; Carey, Carole; Contreras-Vidal, Jose Luis; McKinney, Zach; Bianchi, Luigi |
| 15-Jul-2020 | Standards for neurotechnologies and brain-machine interfacing | Chavarriaga, Ricardo |
