iNNvestigate neural networks!

13 August 2018

Pieter-Jan Kindermans

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Papers citing "iNNvestigate neural networks!"

44 / 44 papers shown

Title
Explainable Facial Expression Recognition for People with Intellectual Disabilities Silvia Ramis Guarinos Cristina Manresa Yee Jose Maria Buades Rubio F. X. Gaya-Morey CVBM 35 3 0 19 May 2024
Sparse Explanations of Neural Networks Using Pruned Layer-Wise Relevance Propagation Paulo Yanez Sarmiento Simon Witzke Nadja Klein Bernhard Y. Renard FAtt AAML 40 0 0 22 Apr 2024
Multi-resolution Interpretation and Diagnostics Tool for Natural Language Classifiers P. Jalali Nengfeng Zhou Yufei Yu AAML 33 0 0 06 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
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
Explainable AI Algorithms for Vibration Data-based Fault Detection: Use Case-adadpted Methods and Critical Evaluation Oliver Mey Deniz Neufeld 25 21 0 21 Jul 2022
Towards ML Methods for Biodiversity: A Novel Wild Bee Dataset and Evaluations of XAI Methods for ML-Assisted Rare Species Annotations Teodor Chiaburu F. Biessmann Frank Haußer 35 2 0 15 Jun 2022
Future Artificial Intelligence tools and perspectives in medicine A. Chaddad Y. Katib Lama Hassan 18 8 0 04 Jun 2022
Explain to Not Forget: Defending Against Catastrophic Forgetting with XAI Sami Ede Serop Baghdadlian Leander Weber A. Nguyen Dario Zanca Wojciech Samek Sebastian Lapuschkin CLL 27 6 0 04 May 2022
Robustness and Usefulness in AI Explanation Methods Erick Galinkin FAtt 28 1 0 07 Mar 2022
Quantus: An Explainable AI Toolkit for Responsible Evaluation of Neural Network Explanations and Beyond Anna Hedström Leander Weber Dilyara Bareeva Daniel G. Krakowczyk Franz Motzkus Wojciech Samek Sebastian Lapuschkin Marina M.-C. Höhne XAI ELM 21 168 0 14 Feb 2022
Feature Visualization within an Automated Design Assessment leveraging Explainable Artificial Intelligence Methods Raoul Schönhof Artem Werner J. Elstner Boldizsar Zopcsak Ramez Awad Marco F. Huber AAML 10 12 0 28 Jan 2022
Toward Explainable AI for Regression Models S. Letzgus Patrick Wagner Jonas Lederer Wojciech Samek Klaus-Robert Muller G. Montavon XAI 30 63 0 21 Dec 2021
Evaluating saliency methods on artificial data with different background types Céline Budding Fabian Eitel K. Ritter Stefan Haufe XAI FAtt MedIm 27 5 0 09 Dec 2021
Evaluation of Interpretability for Deep Learning algorithms in EEG Emotion Recognition: A case study in Autism J. M. M. Torres Sara E. Medina-DeVilliers T. Clarkson M. Lerner Giuseppe Riccardi 30 34 0 25 Nov 2021
Software for Dataset-wide XAI: From Local Explanations to Global Insights with Zennit, CoRelAy, and ViRelAy Christopher J. Anders David Neumann Wojciech Samek K. Müller Sebastian Lapuschkin 29 64 0 24 Jun 2021
A Comprehensive Taxonomy for Explainable Artificial Intelligence: A Systematic Survey of Surveys on Methods and Concepts Gesina Schwalbe Bettina Finzel XAI 29 184 0 15 May 2021
Sanity Simulations for Saliency Methods Joon Sik Kim Gregory Plumb Ameet Talwalkar FAtt 38 17 0 13 May 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
Predicting post-operative right ventricular failure using video-based deep learning R. Shad Nicolas Quach R. Fong P. Kasinpila C. Bowles ... Y. Woo J. Teuteberg John P. Cunningham C. Langlotz W. Hiesinger 22 40 0 28 Feb 2021
Improving 3D convolutional neural network comprehensibility via interactive visualization of relevance maps: Evaluation in Alzheimer's disease M. Dyrba Moritz Hanzig S. Altenstein Sebastian Bader Tommaso Ballarini ... B. Ertl-Wagner M. Wagner J. Wiltfang F. Jessen S. Teipel FAtt MedIm 36 51 0 18 Dec 2020
Explainable AI for ML jet taggers using expert variables and layerwise relevance propagation G. Agarwal L. Hay I. Iashvili Benjamin Mannix C. McLean Margaret E. Morris S. Rappoccio U. Schubert 34 18 0 26 Nov 2020
A Comparative Study of Deep Learning Loss Functions for Multi-Label Remote Sensing Image Classification Hichame Yessou Gencer Sumbul Begüm Demir 11 31 0 29 Sep 2020
Adaptive Convolution Kernel for Artificial Neural Networks F. B. Tek Ilker Çam D. Karli 11 12 0 14 Sep 2020
Sequential Explanations with Mental Model-Based Policies A. Yeung Shalmali Joshi Joseph Jay Williams Frank Rudzicz FAtt LRM 31 15 0 17 Jul 2020
Usefulness of interpretability methods to explain deep learning based plant stress phenotyping Koushik Nagasubramanian Asheesh K. Singh Arti Singh S. Sarkar Baskar Ganapathysubramanian FAtt 19 16 0 11 Jul 2020
Human Trajectory Forecasting in Crowds: A Deep Learning Perspective Parth Kothari S. Kreiss Alexandre Alahi HAI AI4TS 27 237 0 07 Jul 2020
Embedded Encoder-Decoder in Convolutional Networks Towards Explainable AI A. Tavanaei XAI 12 31 0 19 Jun 2020
Explainable deep learning models in medical image analysis Amitojdeep Singh S. Sengupta Vasudevan Lakshminarayanan XAI 35 482 0 28 May 2020
Local and Global Explanations of Agent Behavior: Integrating Strategy Summaries with Saliency Maps Tobias Huber Katharina Weitz Elisabeth André Ofra Amir FAtt 21 64 0 18 May 2020
Evolved Explainable Classifications for Lymph Node Metastases Iam Palatnik de Sousa M. Vellasco E. C. Silva 19 6 0 14 May 2020
Evaluation, Tuning and Interpretation of Neural Networks for Meteorological Applications I. Ebert‐Uphoff Kyle Hilburn 8 30 0 06 May 2020
The Grammar of Interactive Explanatory Model Analysis Hubert Baniecki Dariusz Parzych P. Biecek 18 44 0 01 May 2020
A Deep Convolutional Neural Network for COVID-19 Detection Using Chest X-Rays P. R. Bassi R. Attux MedIm 8 144 0 30 Apr 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
Uncertainty-Aware Variational-Recurrent Imputation Network for Clinical Time Series A. Mulyadi E. Jun Heung-Il Suk BDL 67 57 0 02 Mar 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 19 148 0 22 Oct 2019
Towards Explainable Artificial Intelligence Wojciech Samek K. Müller XAI 32 436 0 26 Sep 2019
NeuroMask: Explaining Predictions of Deep Neural Networks through Mask Learning M. Alzantot Amy Widdicombe S. Julier Mani B. Srivastava AAML FAtt 13 3 0 05 Aug 2019
Software and application patterns for explanation methods Maximilian Alber 30 11 0 09 Apr 2019
Synergistic Drug Combination Prediction by Integrating Multi-omics Data in Deep Learning Models Tianyu Zhang Liwei Zhang Philip R. O. Payne Fuhai Li 14 95 0 16 Nov 2018
Adaptive neural network classifier for decoding MEG signals I. Zubarev Rasmus Zetter Hanna-Leena Halme L. Parkkonen 19 46 0 28 May 2018
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 234 2,238 0 24 Jun 2017