Interpretable Deep Neural Networks for Single-Trial EEG Classification

27 April 2016

Papers citing "Interpretable Deep Neural Networks for Single-Trial EEG Classification"

36 / 36 papers shown

Title
An Interpretable and Attention-based Method for Gaze Estimation Using Electroencephalography Nina Weng M. Płomecka Manuel Kaufmann Ard Kastrati Roger Wattenhofer N. Langer 18 1 0 09 Aug 2023
Explainable AI for Time Series via Virtual Inspection Layers Johanna Vielhaben Sebastian Lapuschkin G. Montavon Wojciech Samek XAI AI4TS 18 25 0 11 Mar 2023
Disentangled Explanations of Neural Network Predictions by Finding Relevant Subspaces Pattarawat Chormai J. Herrmann Klaus-Robert Muller G. Montavon FAtt 48 17 0 30 Dec 2022
Decoding Neural Signals with Computational Models: A Systematic Review of Invasive BMI Rezwan Firuzi Hamed Ahmadyani Mohammad Foad Abdi Dana Naderi Jahanfar Hassan Ayub Bokani AI4CE 21 1 0 07 Nov 2022
Analysis of a Deep Learning Model for 12-Lead ECG Classification Reveals Learned Features Similar to Diagnostic Criteria Theresa Bender J. Beinecke D. Krefting Carolin Müller Henning Dathe T. Seidler Nicolai Spicher Anne-Christin Hauschild FAtt 16 25 0 03 Nov 2022
FingerFlex: Inferring Finger Trajectories from ECoG signals V. Lomtev A. Kovalev Alexey Timchenko 14 2 0 23 Oct 2022
A Simple Self-Supervised ECG Representation Learning Method via Manipulated Temporal-Spatial Reverse Detection Wen-Rang Zhang Shijia Geng linda Qiao 16 29 0 25 Feb 2022
Explainability: Relevance based Dynamic Deep Learning Algorithm for Fault Detection and Diagnosis in Chemical Processes P. Agarwal Melih Tamer H. Budman AAML 11 43 0 22 Mar 2021
Interpretable Deep Learning for the Remote Characterisation of Ambulation in Multiple Sclerosis using Smartphones Andrew P. Creagh F. Lipsmeier M. Lindemann M. D. Vos 24 17 0 16 Mar 2021
GANterfactual - Counterfactual Explanations for Medical Non-Experts using Generative Adversarial Learning Silvan Mertes Tobias Huber Katharina Weitz Alexander Heimerl Elisabeth André GAN AAML MedIm 31 69 0 22 Dec 2020
Towards Robust Explanations for Deep Neural Networks Ann-Kathrin Dombrowski Christopher J. Anders K. Müller Pan Kessel FAtt 21 63 0 18 Dec 2020
It's All in the Name: A Character Based Approach To Infer Religion Rochana Chaturvedi Sugat Chaturvedi 21 23 0 27 Oct 2020
OrigamiNet: Weakly-Supervised, Segmentation-Free, One-Step, Full Page Text Recognition by learning to unfold Mohamed Yousef Tom E. Bishop AI4TS 21 81 0 12 Jun 2020
Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications Wojciech Samek G. Montavon Sebastian Lapuschkin Christopher J. Anders K. Müller XAI 44 82 0 17 Mar 2020
Machine-Learning-Based Diagnostics of EEG Pathology Lukas A. W. Gemein R. Schirrmeister P. Chrabaszcz Daniel Wilson Joschka Boedecker A. Schulze-Bonhage Frank Hutter T. Ball 22 153 0 11 Feb 2020
On Interpretability of Artificial Neural Networks: A Survey Fenglei Fan Jinjun Xiong Mengzhou Li Ge Wang AAML AI4CE 38 300 0 08 Jan 2020
When Explanations Lie: Why Many Modified BP Attributions Fail Leon Sixt Maximilian Granz Tim Landgraf BDL FAtt XAI 13 132 0 20 Dec 2019
Towards Best Practice in Explaining Neural Network Decisions with LRP M. Kohlbrenner Alexander Bauer Shinichi Nakajima Alexander Binder Wojciech Samek Sebastian Lapuschkin 22 148 0 22 Oct 2019
Towards Explainable Artificial Intelligence Wojciech Samek K. Müller XAI 32 436 0 26 Sep 2019
Explaining and Interpreting LSTMs L. Arras Jose A. Arjona-Medina Michael Widrich G. Montavon Michael Gillhofer K. Müller Sepp Hochreiter Wojciech Samek FAtt AI4TS 21 79 0 25 Sep 2019
Robust and Resource Efficient Identification of Two Hidden Layer Neural Networks M. Fornasier T. Klock Michael Rauchensteiner 19 17 0 30 Jun 2019
NNVA: Neural Network Assisted Visual Analysis of Yeast Cell Polarization Simulation Subhashis Hazarika Haoyu Li Ko-Chih Wang Han-Wei Shen Ching-Shan Chou 31 20 0 19 Apr 2019
Deep learning in bioinformatics: introduction, application, and perspective in big data era Yu Li Chao Huang Lizhong Ding Zhongxiao Li Yijie Pan Xin Gao AI4CE 21 295 0 28 Feb 2019
Unmasking Clever Hans Predictors and Assessing What Machines Really Learn Sebastian Lapuschkin S. Wäldchen Alexander Binder G. Montavon Wojciech Samek K. Müller 17 996 0 26 Feb 2019
Fusion Strategies for Learning User Embeddings with Neural Networks Philipp Blandfort Tushar Karayil Federico Raue Jörn Hees Andreas Dengel FedML 24 9 0 08 Jan 2019
An Overview of Computational Approaches for Interpretation Analysis Philipp Blandfort Jörn Hees D. Patton 21 2 0 09 Nov 2018
Explaining the Unique Nature of Individual Gait Patterns with Deep Learning Fabian Horst Sebastian Lapuschkin Wojciech Samek K. Müller W. Schöllhorn AI4CE 25 207 0 13 Aug 2018
EEG-GAN: Generative adversarial networks for electroencephalograhic (EEG) brain signals K. Hartmann R. Schirrmeister T. Ball GAN AI4TS 22 229 0 05 Jun 2018
Towards Explaining Anomalies: A Deep Taylor Decomposition of One-Class Models Jacob R. Kauffmann K. Müller G. Montavon DRL 42 96 0 16 May 2018
Bioinformatics and Medicine in the Era of Deep Learning D. Bacciu P. Lisboa José D. Martín R. Stoean A. Vellido AI4CE BDL 33 17 0 27 Feb 2018
Hierarchical internal representation of spectral features in deep convolutional networks trained for EEG decoding K. Hartmann R. Schirrmeister T. Ball 23 27 0 21 Nov 2017
Applications of Deep Learning and Reinforcement Learning to Biological Data M. S. M. Mahmud M. S. Kaiser Amir Hussain S. Vassanelli OffRL AI4CE 41 641 0 10 Nov 2017
Unsupervised Machine Learning for Networking: Techniques, Applications and Research Challenges Muhammad Usama Junaid Qadir Aunn Raza Hunain Arif K. Yau Y. Elkhatib Amir Hussain Ala I. Al-Fuqaha SSL 25 315 0 19 Sep 2017
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 234 2,238 0 24 Jun 2017
Interpreting the Predictions of Complex ML Models by Layer-wise Relevance Propagation Wojciech Samek G. Montavon Alexander Binder Sebastian Lapuschkin K. Müller FAtt AI4CE 26 48 0 24 Nov 2016
Identifying individual facial expressions by deconstructing a neural network F. Arbabzadah G. Montavon K. Müller Wojciech Samek CVBM FAtt 27 31 0 23 Jun 2016