Techniques for Interpretable Machine Learning

31 July 2018

Ninghao Liu

Papers citing "Techniques for Interpretable Machine Learning"

50 / 64 papers shown

Title
Self-Explaining Hypergraph Neural Networks for Diagnosis Prediction Leisheng Yu Yanxiao Cai Minxing Zhang Xia Hu FAtt 85 0 0 15 Feb 2025
Faithful Counterfactual Visual Explanations (FCVE) Bismillah Khan Syed Ali Tariq Tehseen Zia Muhammad Ahsan David Windridge 36 0 0 12 Jan 2025
Towards Counterfactual and Contrastive Explainability and Transparency of DCNN Image Classifiers Syed Ali Tariq Tehseen Zia Mubeen Ghafoor AAML 49 7 0 12 Jan 2025
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor Networks Pau Ferrer-Cid Jose M. Barcelo-Ordinas J. García-Vidal 37 2 0 28 Oct 2024
Explainable AI for Safe and Trustworthy Autonomous Driving: A Systematic Review Anton Kuznietsov Balint Gyevnar Cheng Wang Steven Peters Stefano V. Albrecht XAI 14 26 0 08 Feb 2024
B-Cos Aligned Transformers Learn Human-Interpretable Features Manuel Tran Amal Lahiani Yashin Dicente Cid Melanie Boxberg Peter Lienemann C. Matek S. J. Wagner Fabian J. Theis Eldad Klaiman Tingying Peng MedIm ViT 8 2 0 16 Jan 2024
Explaining the Power of Topological Data Analysis in Graph Machine Learning Funmilola Mary Taiwo Umar Islambekov Cüneyt Gürcan Akçora AI4CE 29 3 0 08 Jan 2024
Improving Interpretation Faithfulness for Vision Transformers Lijie Hu Yixin Liu Ninghao Liu Mengdi Huai Lichao Sun Di Wang 17 5 0 29 Nov 2023
Identifying DNA Sequence Motifs Using Deep Learning Asmita Poddar Vladimir Uzun Elizabeth Tunbridge W. Haerty A. Nevado-Holgado 6 0 0 20 Nov 2023
When to Trust AI: Advances and Challenges for Certification of Neural Networks M. Kwiatkowska Xiyue Zhang AAML 8 8 0 20 Sep 2023
Modeling Inverse Demand Function with Explainable Dual Neural Networks Zhiyu Cao Zihan Chen P. Mishra Hamed Amini Zachary Feinstein 20 2 0 26 Jul 2023
Prediction of Handball Matches with Statistically Enhanced Learning via Estimated Team Strengths Florian Felice Christophe Ley 11 1 0 20 Jul 2023
A Novel Explainable Artificial Intelligence Model in Image Classification problem Quoc Hung Cao Hung Truong Thanh Nguyen V. Nguyen Xuan Phong Nguyen VLM 19 5 0 09 Jul 2023
DEGREE: Decomposition Based Explanation For Graph Neural Networks Qizhang Feng Ninghao Liu Fan Yang Ruixiang Tang Mengnan Du Xia Hu 14 22 0 22 May 2023
A System's Approach Taxonomy for User-Centred XAI: A Survey Ehsan Emamirad Pouya Ghiasnezhad Omran A. Haller S. Gregor 21 1 0 06 Mar 2023
CoRTX: Contrastive Framework for Real-time Explanation Yu-Neng Chuang Guanchu Wang Fan Yang Quan-Gen Zhou Pushkar Tripathi Xuanting Cai Xia Hu 44 19 0 05 Mar 2023
Less is More: The Influence of Pruning on the Explainability of CNNs David Weber F. Merkle Pascal Schöttle Stephan Schlögl Martin Nocker FAtt 29 1 0 17 Feb 2023
NeuroExplainer: Fine-Grained Attention Decoding to Uncover Cortical Development Patterns of Preterm Infants Chen Xue Fan Wang Yuanzhuo Zhu Hui Li Deyu Meng Dinggang Shen C. Lian 34 2 0 01 Jan 2023
The State of the Art in Enhancing Trust in Machine Learning Models with the Use of Visualizations Angelos Chatzimparmpas R. Martins I. Jusufi K. Kucher Fabrice Rossi A. Kerren FAtt 21 160 0 22 Dec 2022
Towards Efficient Visual Simplification of Computational Graphs in Deep Neural Networks Rusheng Pan Zhiyong Wang Yating Wei Han Gao Gongchang Ou Caleb Chen Cao Jinglin Xu Tong Xu Wei-Neng Chen GNN 18 4 0 21 Dec 2022
Improving Accuracy Without Losing Interpretability: A ML Approach for Time Series Forecasting Yiqi Sun Zheng Shi Jianshen Zhang Yongzhi Qi Hao Hu Zuo-jun Shen AI4TS 9 0 0 13 Dec 2022
Understanding transit ridership in an equity context through a comparison of statistical and machine learning algorithms Elnaz Yousefzadeh Barri S. Farber H. Jahanshahi Eda Beyazıt 14 14 0 30 Nov 2022
Relative Sparsity for Medical Decision Problems Samuel J. Weisenthal Sally W. Thurston Ashkan Ertefaie 14 2 0 29 Nov 2022
Attribution-based XAI Methods in Computer Vision: A Review Kumar Abhishek Deeksha Kamath 17 16 0 27 Nov 2022
SEAT: Stable and Explainable Attention Lijie Hu Yixin Liu Ninghao Liu Mengdi Huai Lichao Sun Di Wang OOD 8 18 0 23 Nov 2022
DC-Check: A Data-Centric AI checklist to guide the development of reliable machine learning systems Nabeel Seedat F. Imrie M. Schaar 25 12 0 09 Nov 2022
Explainable AI for clinical and remote health applications: a survey on tabular and time series data Flavio Di Martino Franca Delmastro AI4TS 11 91 0 14 Sep 2022
Differentially Private Counterfactuals via Functional Mechanism Fan Yang Qizhang Feng Kaixiong Zhou Jiahao Chen Xia Hu 13 8 0 04 Aug 2022
Activation Template Matching Loss for Explainable Face Recognition Huawei Lin Haozhe Liu Qiufu Li Linlin Shen CVBM 16 1 0 05 Jul 2022
The Road to Explainability is Paved with Bias: Measuring the Fairness of Explanations Aparna Balagopalan Haoran Zhang Kimia Hamidieh Thomas Hartvigsen Frank Rudzicz Marzyeh Ghassemi 22 77 0 06 May 2022
Robust and Explainable Autoencoders for Unsupervised Time Series Outlier Detection---Extended Version Tung Kieu B. Yang Chenjuan Guo Christian S. Jensen Yan Zhao Feiteng Huang Kai Zheng AI4TS 27 37 0 07 Apr 2022
Mind the gap: Challenges of deep learning approaches to Theory of Mind Jaan Aru Aqeel Labash Oriol Corcoll Raul Vicente 13 26 0 30 Mar 2022
A Survey on Aspect-Based Sentiment Classification Gianni Brauwers Flavius Frasincar LLMAG 15 109 0 27 Mar 2022
Debiased-CAM to mitigate systematic error with faithful visual explanations of machine learning Wencan Zhang Mariella Dimiccoli Brian Y. Lim FAtt 8 1 0 30 Jan 2022
Learning Two-Step Hybrid Policy for Graph-Based Interpretable Reinforcement Learning Tongzhou Mu Kaixiang Lin Fei Niu Govind Thattai OffRL 11 0 0 21 Jan 2022
Fighting Money Laundering with Statistics and Machine Learning R. Jensen Alexandros Iosifidis 22 13 0 11 Jan 2022
Improving ECG Classification Interpretability using Saliency Maps Yola Jones F. Deligianni Jeffrey Stephen Dalton FAtt 23 19 0 10 Jan 2022
Self-Interpretable Model with TransformationEquivariant Interpretation Yipei Wang Xiaoqian Wang 24 23 0 09 Nov 2021
Defense Against Explanation Manipulation Ruixiang Tang Ninghao Liu Fan Yang Na Zou Xia Hu AAML 35 11 0 08 Nov 2021
Modeling Techniques for Machine Learning Fairness: A Survey Mingyang Wan Daochen Zha Ninghao Liu Na Zou SyDa FaML 17 36 0 04 Nov 2021
Tree-based local explanations of machine learning model predictions, AraucanaXAI Enea Parimbelli G. Nicora Szymon Wilk W. Michalowski Riccardo Bellazzi 6 25 0 15 Oct 2021
LEMON: Explainable Entity Matching Nils Barlaug FAtt AAML 8 9 0 01 Oct 2021
The Impact of Machine Learning on 2D/3D Registration for Image-guided Interventions: A Systematic Review and Perspective Mathias Unberath Cong Gao Yicheng Hu Max Judish Russell H. Taylor Mehran Armand Robert Grupp 11 65 0 04 Aug 2021
A Survey on Graph-Based Deep Learning for Computational Histopathology David Ahmedt-Aristizabal M. Armin Simon Denman Clinton Fookes L. Petersson GNN AI4CE 11 105 0 01 Jul 2021
Multivariate Data Explanation by Jumping Emerging Patterns Visualization Mário Popolin Neto F. Paulovich 17 7 0 21 Jun 2021
Metamorphic Detection of Repackaged Malware S. Singh Gail E. Kaiser 17 7 0 27 Apr 2021
Deep Learning for Android Malware Defenses: a Systematic Literature Review Yue Liu C. Tantithamthavorn Li Li Yepang Liu AAML 17 77 0 09 Mar 2021
Intuitively Assessing ML Model Reliability through Example-Based Explanations and Editing Model Inputs Harini Suresh Kathleen M. Lewis John Guttag Arvind Satyanarayan FAtt 32 25 0 17 Feb 2021
Beyond Expertise and Roles: A Framework to Characterize the Stakeholders of Interpretable Machine Learning and their Needs Harini Suresh Steven R. Gomez K. Nam Arvind Satyanarayan 27 124 0 24 Jan 2021
XAI-P-T: A Brief Review of Explainable Artificial Intelligence from Practice to Theory Nazanin Fouladgar Kary Främling XAI 8 4 0 17 Dec 2020