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Showing results 1 to 20 of 22  next >
Issue DateTitleInvolved Person(s)
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
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
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
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
2021Stopping vs Resting state during motor imagery paradigmOrset, Bastien; Lee, Kyuhwa; Chavarriaga, Ricardo; Millán, José del. R
9-Feb-2021The CLAIRE COVID-19 initiative : approach, experiences and recommendationsBontempi, Gianluca; Chavarriaga, Ricardo; De Canck, Hans; Girardi, Emanuela; Hoos, Holger, et al
30-Jan-2020Tiny noise, big mistakes : adversarial perturbations induce errors in brain-computer interface spellersZhang, Xiao; Wu, Dongrui; Ding, Lieyun; Luo, Hanbin; Lin, Chin-Teng, et al
3-Jun-2022Towards a governance framework for brain dataIenca, Marcello; Fins, Joseph J.; Jox, Ralf J.; Jotterand, Fabrice; Voeneky, Silja, et al
Mar-2021Two to trust : AutoML for safe modelling and interpretable deep learning for robustnessAmirian, Mohammadreza; Tuggener, Lukas; Chavarriaga, Ricardo; Satyawan, Yvan Putra; Schilling, Frank-Peter, et al
Feb-2020Uncovering EEG correlates of covert attention in soccer goalkeepers : towards innovative sport training proceduresJeunet, Camille; Tonin, Luca; Albert, Louis; Chavarriaga, Ricardo; Bideau, Benoît, et al