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