Search Results - "Cecotti, Hubert"
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A Self-Paced and Calibration-Less SSVEP-Based Brain-Computer Interface Speller
Published in IEEE transactions on neural systems and rehabilitation engineering (01-04-2010)“…A brain-computer interface (BCI) is a communication system based on neural activity. Its goal is to provide a new output channel for the brain that requires…”
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Single-Trial Classification of Event-Related Potentials in Rapid Serial Visual Presentation Tasks Using Supervised Spatial Filtering
Published in IEEE transaction on neural networks and learning systems (01-11-2014)“…Accurate detection of single-trial event-related potentials (ERPs) in the electroencephalogram (EEG) is a difficult problem that requires efficient signal…”
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Data augmentation for handwritten digit recognition using generative adversarial networks
Published in Multimedia tools and applications (01-12-2020)“…Supervised learning techniques require labeled examples that can be time consuming to obtain. In particular, deep learning approaches, where all the feature…”
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Editorial: Translational brain-computer interfaces: From research labs to the market and back
Published in Frontiers in human neuroscience (13-02-2023)Get full text
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Symmetrical filters in convolutional neural networks
Published in International journal of machine learning and cybernetics (01-07-2021)“…Symmetry is present in nature and science. In image processing, kernels for spatial filtering possess some symmetry (e.g. Sobel operators, Gaussian,…”
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Semi-automatic ground truth generation using unsupervised clustering and limited manual labeling: Application to handwritten character recognition
Published in Pattern recognition letters (01-06-2015)“…•We propose a fast and accurate semi-automatic labeling strategy.•Human expert knowledge (time and cost) is reduced to minimum.•Unsupervised clustering and…”
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Subject combination and electrode selection in cooperative brain-computer interface based on event related potentials
Published in Brain sciences (30-04-2014)“…New paradigms are required in Brain-Computer Interface (BCI) systems for the needs and expectations of healthy people. To solve this issue, we explore the…”
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A Multimodal Gaze-Controlled Virtual Keyboard
Published in IEEE transactions on human-machine systems (01-08-2016)“…New portable and noninvasive eye-trackers allow the creation of robust virtual keyboards that aim to improve the life of disabled people who are unable to…”
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Spelling with non-invasive Brain–Computer Interfaces – Current and future trends
Published in Journal of physiology, Paris (2011)“…► Brain-computer interfaces for spelling are promising tools for disabled people. ► Although some progress has been achieved, several challenges exist for…”
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Deep Random Vector Functional Link Network for handwritten character recognition
Published in 2016 International Joint Conference on Neural Networks (IJCNN) (01-07-2016)“…The field of artificial neural networks has a long history of several decades, where the theoretical contributions have progressed with advances in terms of…”
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Conference Proceeding -
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Active graph based semi-supervised learning using image matching: Application to handwritten digit recognition
Published in Pattern recognition letters (01-04-2016)“…•A robust active learning method.•Ground truth creation is optimized (time and cost reduction).•The combination of efficient image matching and label…”
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Correction: cecotti, h. And rivet, B. Subject combination and electrode selection in cooperative brain-computer interface based on event related potentials. Brain sci. 2014, 4, 335-355
Published in Brain sciences (19-09-2014)“…The authors wish to make the following correction to this paper (Cecotti, H.; Rivet, B. Subject Combination and Electrode Selection in Cooperative…”
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Adaptive training session for a P300 speller brain–computer interface
Published in Journal of physiology, Paris (01-01-2011)“…With a brain–computer interface (BCI), it is nowadays possible to achieve a direct pathway between the brain and computers thanks to the analysis of some…”
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A time–frequency convolutional neural network for the offline classification of steady-state visual evoked potential responses
Published in Pattern recognition letters (01-06-2011)“…► A new convolutional neural network architecture. ► It includes the Fourier transform between two hidden layers. ► Classification of steady-state visual…”
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Single-Trial Detection With Magnetoencephalography During a Dual-Rapid Serial Visual Presentation Task
Published in IEEE transactions on biomedical engineering (01-01-2016)“…Goal: The detection of brain responses corresponding to the presentation of a particular class of images is a challenge in brain-machine interface. Current…”
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Rotation invariant descriptors for galaxy morphological classification
Published in International journal of machine learning and cybernetics (01-08-2020)“…The detection of multi-oriented objects is a difficult pattern recognition problem. In this paper, we propose to evaluate the performance of different families…”
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Toward shift invariant detection of event-related potentials in non-invasive brain-computer interface
Published in Pattern recognition letters (15-11-2015)“…•Solution for the jitter problem of the stimulus onsets for ERP single-trial detection.•Shift-invariant features based on the power spectrum or bispectrum.•AUC…”
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Cultural Heritage in Fully Immersive Virtual Reality
Published in Virtual worlds (14-09-2022)“…Fully immersive virtual reality (VR) applications have modified the way people access cultural heritage—from the visiting of virtual museums containing large…”
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A multimodal interface to resolve the Midas-Touch problem in gaze controlled wheelchair
Published in 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (01-07-2017)“…Human-computer interaction (HCI) research has been playing an essential role in the field of rehabilitation. The usability of the gaze controlled powered…”
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Conference Proceeding Journal Article -
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Convolutional Neural Networks for P300 Detection with Application to Brain-Computer Interfaces
Published in IEEE transactions on pattern analysis and machine intelligence (01-03-2011)“…A Brain-Computer Interface (BCI) is a specific type of human-computer interface that enables the direct communication between human and computers by analyzing…”
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