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المؤلفون: Andreas Schwarz, Joana Pereira, Gernot Müller-Putz, Julia Brandstetter
المصدر: Medical & Biological Engineering & Computing
مصطلحات موضوعية: Computer science, Process (engineering), 0206 medical engineering, Biomedical Engineering, 02 engineering and technology, Semi-supervised learning, Machine learning, computer.software_genre, 03 medical and health sciences, Motor imagery, 0302 clinical medicine, Image Processing, Computer-Assisted, Humans, Co-adaptive BCI, Adaptation (computer science), Brain–computer interface, Computer Applications, business.industry, Supervised learning, Retraining, Electroencephalography, 020601 biomedical engineering, Computer Science Applications, Brain-Computer Interfaces, Calibration, Imagination, Original Article, Artificial intelligence, Brain–computer interface (BCI), business, computer, 030217 neurology & neurosurgery
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4b52bccd94648d9a5979c2d6d31ee28cTest
https://doi.org/10.1007/s11517-019-02047-1Test -
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المؤلفون: A.A.A. Nasser, Jaidaa Abougharbia, Mohamed Tamazin, Omneya Attallah
المصدر: Brain Sciences, Vol 10, Iss 864, p 864 (2020)
Brain Sciences
Volume 10
Issue 11مصطلحات موضوعية: Computer science, Daily life activities, 0206 medical engineering, Feature selection, 02 engineering and technology, Machine learning, computer.software_genre, Article, lcsh:RC321-571, 03 medical and health sciences, 0302 clinical medicine, Motor imagery, electroencephalography (EEG), Feature set, lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry, Brain–computer interface, business.industry, General Neuroscience, motor Imagery (MI), 020601 biomedical engineering, Artificial limbs, brain–computer interface (BCI), wavelet packet decomposition (WPD), Support vector machine, feature selection (FS), Artificial intelligence, business, computer, Classifier (UML), 030217 neurology & neurosurgery
وصف الملف: application/pdf
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d64c2e3eef9d6335dc8e0e1de329d388Test
https://www.mdpi.com/2076-3425/10/11/864Test -
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المصدر: NER
مصطلحات موضوعية: Reliability theory, Signal processing, Point (typography), Computer science, business.industry, brain connectivity, 0206 medical engineering, Feature extraction, 02 engineering and technology, Machine learning, computer.software_genre, 020601 biomedical engineering, Task (project management), EEG, BCI, brain connectivity, 03 medical and health sciences, 0302 clinical medicine, Motor imagery, EEG, Information flow (information theory), Artificial intelligence, BCI, business, computer, 030217 neurology & neurosurgery, Brain–computer interface
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::65d5e0b452b9b1f5b8c70cb576c137adTest
https://doi.org/10.1109/ner49283.2021.9441440Test -
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المساهمون: Analysis and modeling of neural systems by a system neuroscience approach (NEUROSYS), Inria Nancy - Grand Est, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Department of Complex Systems, Artificial Intelligence & Robotics (LORIA - AIS), Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), Psychologie Ergonomique et Sociale pour l'Expérience utilisateurs (PErSEUs), Université de Lorraine (UL), Modelling brain structure, function and variability based on high-field MRI data (PARIETAL), Service NEUROSPIN (NEUROSPIN), Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Inria Saclay - Ile de France, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Popular interaction with 3d content (Potioc), Laboratoire Bordelais de Recherche en Informatique (LaBRI), Université de Bordeaux (UB)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Centre National de la Recherche Scientifique (CNRS)-Université de Bordeaux (UB)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Centre National de la Recherche Scientifique (CNRS)-Inria Bordeaux - Sud-Ouest, The author acknowledges the support of the French Agence Nationale de la Recherche (ANR) under reference ANR-19-CE33-0007 (Grasp-IT project), and the European Research Council with project BrainConquest (grant ERC-2016-STG-714567)., European Project: 714567 ,H2020 Pilier ERC,BrainConquest(2017), Inria Saclay - Ile de France, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Service NEUROSPIN (NEUROSPIN), Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Inria Bordeaux - Sud-Ouest, Bougrain, Laurent, Boosting Brain-Computer Communication with high Quality User Training - BrainConquest - - H2020 Pilier ERC2017-07-01 - 2022-06-30 - 714567 - VALID
المصدر: NER 2021-10th International IEEE/EMBS Conference on Neural Engineering
NER 2021-10th International IEEE/EMBS Conference on Neural Engineering, May 2021, Virtual, United States
NER
2021 10th International IEEE/EMBS Conference on Neural Engineering (NER)مصطلحات موضوعية: [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], Computer science, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, 0206 medical engineering, 02 engineering and technology, Machine learning, computer.software_genre, Session (web analytics), Domain (software engineering), [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], 03 medical and health sciences, [SCCO]Cognitive science, 0302 clinical medicine, Motor imagery, [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC], Set (psychology), Reliability (statistics), Brain–computer interface, business.industry, Neural engineering, [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG], [SCCO] Cognitive science, 020601 biomedical engineering, [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, Artificial intelligence, [INFO.INFO-HC] Computer Science [cs]/Human-Computer Interaction [cs.HC], Transfer of learning, business, computer, 030217 neurology & neurosurgery
وصف الملف: application/pdf
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b3871982e4f88c09d4ee8e3c3d561e7aTest
https://inria.hal.science/hal-03147055/file/Bougrain_NER21_TransfertLearningKMI.pdfTest -
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المؤلفون: Vikas Kumar, Rajdeep Ghosh, Saroj Kumar Biswas, Nidul Sinha
المصدر: Journal of Intelligent & Fuzzy Systems. 35:1501-1510
مصطلحات موضوعية: Statistics and Probability, Computer science, business.industry, 0206 medical engineering, General Engineering, 02 engineering and technology, Machine learning, computer.software_genre, 020601 biomedical engineering, Task (project management), 03 medical and health sciences, 0302 clinical medicine, Motor imagery, Artificial Intelligence, Artificial intelligence, business, computer, 030217 neurology & neurosurgery, Selection (genetic algorithm)
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::6b152f5f9c32be076f39f82f3b462af8Test
https://doi.org/10.3233/jifs-169690Test -
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المؤلفون: Sylvain Chevallier, Karim Haroun, Camille Noûs, Quentin Barthélemy, Salim Khazem
المساهمون: Laboratoire d'Ingénierie des Systèmes de Versailles (LISV), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Université Paris-Saclay, Foxstream, Laboratoire Cogitamus, IEEE
المصدر: NER (Neural engineering)
NER (Neural engineering), May 2021, Rome (virtual), Italy. pp.523-526, ⟨10.1109/NER49283.2021.9441279⟩مصطلحات موضوعية: Signal Processing (eess.SP), FOS: Computer and information sciences, Computer Science - Machine Learning, Calibration (statistics), Computer science, 0206 medical engineering, Computer Science - Human-Computer Interaction, 02 engineering and technology, Machine learning, computer.software_genre, Human-Computer Interaction (cs.HC), Machine Learning (cs.LG), 03 medical and health sciences, 0302 clinical medicine, Motor imagery, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, User experience design, Robustness (computer science), Classifier (linguistics), FOS: Electrical engineering, electronic engineering, information engineering, Electrical Engineering and Systems Science - Signal Processing, Reliability (statistics), Brain–computer interface, business.industry, 020601 biomedical engineering, Artificial intelligence, Transfer of learning, business, computer, 030217 neurology & neurosurgery
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cae01403569efd68904131f68363a1d6Test
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المؤلفون: Helle K. Iversen, Paula Sanchez Lopez, Muhammad Ahmed Khan, Sadasivan Puthusserypady, Rig Das
المصدر: SMC
مصطلحات موضوعية: Boosting (machine learning), medicine.diagnostic_test, business.industry, Computer science, 0206 medical engineering, Data classification, 02 engineering and technology, Electroencephalography, Machine learning, computer.software_genre, 020601 biomedical engineering, ComputingMethodologies_PATTERNRECOGNITION, Motor imagery, 0202 electrical engineering, electronic engineering, information engineering, medicine, 020201 artificial intelligence & image processing, AdaBoost, Artificial intelligence, business, computer, Brain–computer interface
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::9e46ab293bced17c551d4590bd412a00Test
https://doi.org/10.1109/smc42975.2020.9283098Test -
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المؤلفون: Kyung-Hwan Shim, Dae Hyeok Lee, Ji-Hoon Jeong, Byeong Hoo Lee, Do Yeun Lee, Byoung Hee Kwon, Seong-Whan Lee, Jeong-Hyun Cho
المصدر: GigaScience
مصطلحات موضوعية: Matching (statistics), Computer science, AcademicSubjects/SCI02254, Movement, 0206 medical engineering, Health Informatics, 02 engineering and technology, Electroencephalography, Machine learning, computer.software_genre, Data Note, Session (web analytics), intuitive upper extremity movements, Upper Extremity, 03 medical and health sciences, Consistency (database systems), 0302 clinical medicine, Motor imagery, medicine, multimodal signals, Humans, Brain–computer interface, medicine.diagnostic_test, business.industry, brain–computer interface, Neurophysiology, 020601 biomedical engineering, Computer Science Applications, multiple sessions, Brain-Computer Interfaces, Imagination, AcademicSubjects/SCI00960, Artificial intelligence, business, computer, 030217 neurology & neurosurgery, Decoding methods
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f19c066c8f3401324a0a85086af4b442Test
http://europepmc.org/articles/PMC7539536Test -
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المؤلفون: Anirban Chowdhury, Haider Raza, Saugat Bhattacharyya
المصدر: IJCNN
مصطلحات موضوعية: Feature engineering, Stroke patient, medicine.diagnostic_test, Computer science, business.industry, Deep learning, 0206 medical engineering, Feature extraction, 02 engineering and technology, Electroencephalography, Machine learning, computer.software_genre, 020601 biomedical engineering, Motor imagery, 0202 electrical engineering, electronic engineering, information engineering, medicine, 020201 artificial intelligence & image processing, Relevance (information retrieval), Artificial intelligence, business, computer
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::64e52d438397522786d468826eaf2832Test
https://doi.org/10.1109/ijcnn48605.2020.9206884Test -
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المؤلفون: Yang Liu, Cuntai Guan, Ce Ju, Dashan Gao, Ravikiran Mane, Ben Tan
المصدر: EMBC
مصطلحات موضوعية: Signal Processing (eess.SP), FOS: Computer and information sciences, Computer Science - Machine Learning, Imagery, Psychotherapy, Computer science, 0206 medical engineering, 02 engineering and technology, Machine learning, computer.software_genre, Field (computer science), Machine Learning (cs.LG), Machine Learning, Motor imagery, Discriminative model, FOS: Electrical engineering, electronic engineering, information engineering, 0202 electrical engineering, electronic engineering, information engineering, Electrical Engineering and Systems Science - Signal Processing, business.industry, Covariance matrix, Deep learning, I.5.4, Electroencephalography, 020601 biomedical engineering, ComputingMethodologies_PATTERNRECOGNITION, Privacy, Brain-Computer Interfaces, 020201 artificial intelligence & image processing, Artificial intelligence, business, Transfer of learning, computer
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d139be8d3d60e944ab85dd2d8823f032Test
http://arxiv.org/abs/2004.12321Test