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Local velocity-adapted motion events for spatio-temporal recognitionStable myoelectric control of a hand prosthesis using non-linear incremental learning.Electromyography data for non-invasive naturally-controlled robotic hand prostheses.Proceedings of the first workshop on Peripheral Machine Interfaces: going beyond traditional surface electromyography.Repeatability of grasp recognition for robotic hand prosthesis control based on sEMG data.Megane Pro: Myo-electricity, visual and gaze tracking data acquisitions to improve hand prosthetics.Effect of clinical parameters on the control of myoelectric robotic prosthetic hands.Learning Categories From Few Examples With Multi Model Knowledge Transfer.Natural control capabilities of robotic hands by hand amputated subjects.Classification of hand movements in amputated subjects by sEMG and accelerometers.Characterization of a benchmark database for myoelectric movement classification.Exploiting accelerometers to improve movement classification for prosthetics.Movement error rate for evaluation of machine learning methods for sEMG-based hand movement classification.Experiences in the creation of an electromyography database to help hand amputated persons.Adaptive learning to speed-up control of prosthetic hands: A few things everybody should know.On the challenge of classifying 52 hand movements from surface electromyography.Kernel methods for melanoma recognition.Beyond Dataset Bias: Multi-task Unaligned Shared Knowledge TransferFrustratingly Easy NBNN Domain AdaptationImproving Control of Dexterous Hand Prostheses Using Adaptive LearningLeveraging over prior knowledge for online learning of visual categoriesTowards a Quantitative Measure of RarenessMulticlass transfer learning from unconstrained priorsTransferring activities: Updating human behavior analysisUsing Object Affordances to Improve Object RecognitionLearning methods for melanoma recognitionObject recognition using visuo-affordance mapsOverview of the CLEF 2009 Medical Image Annotation TrackSafety in numbers: Learning categories from few examples with multi model knowledge transferAn SVM Confidence-Based Approach to Medical Image AnnotationThe more you know, the less you learn: from knowledge transfer to one-shot learning of object categoriesDiscriminative cue integration for medical image annotationOM-2: An online multi-class Multi-Kernel Learning algorithm Luo JieGuest Editorial Representations and Architectures for Cognitive Systems
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researcher, Politecnico di Torino, Italian Institute of Technology
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