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Deep Dynamic Neural Networks for Multimodal Gesture Segmentation and Recognition

IEEE transactions on pattern analysis and machine intelligence, 2016-08, Vol.38 (8), p.1583-1597

2016

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Towards Improved Design and Evaluation of Epileptic Seizure Predictors

IEEE transactions on biomedical engineering, 2018-03, Vol.65 (3), p.502-510

2018

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IEEE_Xplore

A bayesian model for exploiting application constraints to enable unsupervised training of a P300-based BCI

PloS one, 2012-04, Vol.7 (4), p.e33758-e33758

2012

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True zero-training brain-computer interfacing--an online study

PloS one, 2014-07, Vol.9 (7), p.e102504-e102504

2014

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The (Un)reliability of Saliency Methods

Explainable AI: Interpreting, Explaining and Visualizing Deep Learning, p.267-280

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Can Weight Sharing Outperform Random Architecture Search? An Investigation With TuNAS

2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020, p.14311-14320

2020

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IEEE_Xplore

MobileDets: Searching for Object Detection Architectures for Mobile Accelerators

2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021, p.3824-3833

2021

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IEEE_Xplore

A Unified Probabilistic Approach to Improve Spelling in an Event-Related Potential-Based Brain-Computer Interface

IEEE transactions on biomedical engineering, 2013-10, Vol.60 (10), p.2696-2705

2013

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Integrating dynamic stopping, transfer learning and language models in an adaptive zero-training ERP speller

Journal of neural engineering, 2014-06, Vol.11 (3), p.035005-035005

2014

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Sign Language Recognition Using Convolutional Neural Networks

Computer Vision - ECCV 2014 Workshops, p.572-578

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Neural Predictor for Neural Architecture Search

Computer Vision - ECCV 2020, 2020, Vol.12374, p.660-676

2020

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BigNAS: Scaling up Neural Architecture Search with Big Single-Stage Models

Computer Vision - ECCV 2020, 2020, Vol.12352, p.702-717

2020

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Learning from label proportions in brain-computer interfaces: Online unsupervised learning with guarantees

PloS one, 2017-04, Vol.12 (4), p.e0175856-e0175856

2017

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Performance measurement for brain-computer or brain-machine interfaces: a tutorial

Journal of neural engineering, 2014-06, Vol.11 (3), p.035001-12

2014

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Transfer learning of gaits on a quadrupedal robot

Adaptive behavior, 2015-04, Vol.23 (2), p.69-82

2015

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Discovering Multi-Hardware Mobile Models via Architecture Search

2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2021, p.3016-3025

2021

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IEEE_Xplore

Dynamic Stopping Improves the Speed and Accuracy of a P300 Speller

Artificial Neural Networks and Machine Learning – ICANN 2012, p.661-668

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Zero-Training for Brain-Computer Interfaces

Frontiers in computational neuroscience, 2015, Vol.9

Pieter-Jan, Kindermans

2015

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Integrating dynamic stopping, transfer learning and language models in an adaptive zero-training ERR speller

Journal of neural engineering, 2014-06, Vol.11 (3), p.1-9

2014

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Zero Training for BCI – Reality for BCI Systems Based on Event-Related Potentials

Biomedizinische Technik, 2013-09, Vol.58 Suppl 1

2013

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Artificial Neural Networks and Machine Learning -- ICANN 2012: 22nd International Conference on Artificial Neural Networks, Lausanne, Switzerland, September 11-14, 2012, Proceedings, Part I

2012, 2012

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Unsupervised Learning for Brain-Computer Interfaces Based on Event-Related Potentials: Review and Online Comparison [Research Frontier]

IEEE computational intelligence magazine, 2018-05, Vol.13 (2), p.66-77

2018

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IEEE_Xplore

Rethinking BCI Paradigm and Machine Learning Algorithm as a Symbiosis: Zero Calibration, Guaranteed Convergence and High Decoding Performance

Brain-Computer Interface Research, 2019, p.63-73

2019

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Deep Dynamic Neural Networks for Multimodal Gesture Segmentation and Recognition

Towards Improved Design and Evaluation of Epileptic Seizure Predictors

A bayesian model for exploiting application constraints to enable unsupervised training of a P300-based BCI

True zero-training brain-computer interfacing--an online study

The (Un)reliability of Saliency Methods

Can Weight Sharing Outperform Random Architecture Search? An Investigation With TuNAS

MobileDets: Searching for Object Detection Architectures for Mobile Accelerators

A Unified Probabilistic Approach to Improve Spelling in an Event-Related Potential-Based Brain-Computer Interface

Integrating dynamic stopping, transfer learning and language models in an adaptive zero-training ERP speller

Sign Language Recognition Using Convolutional Neural Networks

Neural Predictor for Neural Architecture Search

BigNAS: Scaling up Neural Architecture Search with Big Single-Stage Models

Learning from label proportions in brain-computer interfaces: Online unsupervised learning with guarantees

Performance measurement for brain-computer or brain-machine interfaces: a tutorial

Transfer learning of gaits on a quadrupedal robot

Workshops of the Sixth International Brain-Computer Interface Meeting: brain-computer interfaces past, present, and future

Discovering Multi-Hardware Mobile Models via Architecture Search

Dynamic Stopping Improves the Speed and Accuracy of a P300 Speller

Zero-Training for Brain-Computer Interfaces

Integrating dynamic stopping, transfer learning and language models in an adaptive zero-training ERR speller

Zero Training for BCI – Reality for BCI Systems Based on Event-Related Potentials

Artificial Neural Networks and Machine Learning -- ICANN 2012: 22nd International Conference on Artificial Neural Networks, Lausanne, Switzerland, September 11-14, 2012, Proceedings, Part I

Unsupervised Learning for Brain-Computer Interfaces Based on Event-Related Potentials: Review and Online Comparison [Research Frontier]

Rethinking BCI Paradigm and Machine Learning Algorithm as a Symbiosis: Zero Calibration, Guaranteed Convergence and High Decoding Performance

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