Papers citing 'Explaining the Unexplained: A CLass-Enhanced Attentive Response (CLEAR) Approach to Understanding Deep Neural Networks'

Title
Invariance Measures for Neural NetworksApplied Soft Computing (ASC), 2022 F. Quiroga J. Torrents-Barrena Laura Lanzarini Domenec Puig-Valls 102 4 0 26 Oct 2023
i-Align: an interpretable knowledge graph alignment modelData mining and knowledge discovery (DMKD), 2023 Bayu Distiawan Trisedya Flora D. Salim Jeffrey Chan Damiano Spina Falk Scholer Mark Sanderson 172 11 0 26 Aug 2023
Contrastive Counterfactual Visual Explanations With OverdeterminationMachine-mediated learning (ML), 2021 Adam White K. Ngan James Phelan Saman Sadeghi Afgeh Kevin Ryan C. Reyes-Aldasoro Artur Garcez 205 12 0 28 Jun 2021
COVID-Net CT-2: Enhanced Deep Neural Networks for Detection of COVID-19 from Chest CT Images Through Bigger, More Diverse LearningFrontiers in Medicine (Front. Med.), 2021 Hayden Gunraj A. Sabri D. Koff A. Wong 193 103 0 19 Jan 2021
Explainable Artificial Intelligence: a Systematic Review Giulia Vilone Luca Longo XAI 539 299 0 29 May 2020
Under the Hood of Neural Networks: Characterizing Learned Representations by Functional Neuron Populations and Network Ablations Richard Meyes Constantin Waubert de Puiseau Andres Felipe Posada-Moreno Tobias Meisen AI4CE 120 22 0 02 Apr 2020
Spot Evasion Attacks: Adversarial Examples for License Plate Recognition Systems with Convolutional Neural NetworksComputers & security (Comput. Secur.), 2019 Yaguan Qian Daniel Ma Bin Wang Jun Pan Jiamin Wang Jian-Hai Chen Wujie Zhou Jing-Sheng Lei AAML 168 31 0 27 Oct 2019
Decision Explanation and Feature Importance for Invertible Networks Juntang Zhuang Nicha Dvornek Xiaoxiao Li Junlin Yang James S. Duncan AAML FAtt 150 5 0 30 Sep 2019
Encoding Visual Attributes in Capsules for Explainable Medical Diagnoses Rodney LaLonde Drew Torigian Ulas Bagci MedIm 198 5 0 12 Sep 2019
Democratisation of Usable Machine Learning in Computer Vision R. Bond A. Koene A. Dix J. Boger M. Mulvenna M. Galushka Brendon Bradley Fiona Browne Hui Wang A. Wong 109 6 0 18 Feb 2019
Explanation in Human-AI Systems: A Literature Meta-Review, Synopsis of Key Ideas and Publications, and Bibliography for Explainable AI Shane T. Mueller R. Hoffman W. Clancey Abigail Emrey Gary Klein XAI 205 304 0 05 Feb 2019
SISC: End-to-end Interpretable Discovery Radiomics-Driven Lung Cancer Prediction via Stacked Interpretable Sequencing Cells Vignesh Sankar Devinder Kumar David A Clausi Graham W. Taylor Alexander Wong 103 25 0 15 Jan 2019
Interpretable CNNs for Object Classification Quanshi Zhang Xin Eric Wang Ying Nian Wu Huilin Zhou Song-Chun Zhu 136 62 0 08 Jan 2019
Explaining AlphaGo: Interpreting Contextual Effects in Neural Networks Zenan Ling Haotian Ma Yu Yang Robert C. Qiu Song-Chun Zhu Quanshi Zhang MILM 124 4 0 08 Jan 2019
Unsupervised Learning of Neural Networks to Explain Neural Networks Quanshi Zhang Yu Yang Yuchen Liu Ying Nian Wu Song-Chun Zhu FAtt SSL 143 28 0 18 May 2018
Visual Interpretability for Deep Learning: a Survey Quanshi Zhang Song-Chun Zhu FaML HAI 332 877 0 02 Feb 2018
Discovery Radiomics with CLEAR-DR: Interpretable Computer Aided Diagnosis of Diabetic RetinopathyIEEE Access (IEEE Access), 2017 Devinder Kumar Graham W. Taylor Alexander Wong MedIm 106 38 0 29 Oct 2017
Interpretable Convolutional Neural Networks Quanshi Zhang Ying Nian Wu Song-Chun Zhu FAtt 363 823 0 02 Oct 2017
Opening the Black Box of Financial AI with CLEAR-Trade: A CLass-Enhanced Attentive Response Approach for Explaining and Visualizing Deep Learning-Driven Stock Market Prediction Devinder Kumar Graham W. Taylor Alexander Wong AIFin 90 20 0 05 Sep 2017