Local Rule-Based Explanations of Black Box Decision Systems

28 May 2018

Papers citing "Local Rule-Based Explanations of Black Box Decision Systems"

50 / 192 papers shown

Title
Understanding Post-hoc Explainers: The Case of Anchors Gianluigi Lopardo F. Precioso Damien Garreau FAtt 22 2 0 15 Mar 2023
Interpretable Outlier Summarization Yu Wang Lei Cao Yizhou Yan Samuel Madden 11 0 0 11 Mar 2023
Concept Learning for Interpretable Multi-Agent Reinforcement Learning Renos Zabounidis Joseph Campbell Simon Stepputtis Dana Hughes Katia P. Sycara 29 15 0 23 Feb 2023
Feasible Recourse Plan via Diverse Interpolation D. Nguyen Ngoc H. Bui Viet Anh Nguyen 19 6 0 22 Feb 2023
Explaining text classifiers through progressive neighborhood approximation with realistic samples Yi Cai Arthur Zimek Eirini Ntoutsi Gerhard Wunder AI4TS 22 0 0 11 Feb 2023
Invisible Users: Uncovering End-Users' Requirements for Explainable AI via Explanation Forms and Goals Weina Jin Jianyu Fan D. Gromala Philippe Pasquier Ghassan Hamarneh 23 7 0 10 Feb 2023
Symbolic Metamodels for Interpreting Black-boxes Using Primitive Functions Mahed Abroshan Saumitra Mishra Mohammad Mahdi Khalili 23 4 0 09 Feb 2023
Explaining with Greater Support: Weighted Column Sampling Optimization for q-Consistent Summary-Explanations Chen Peng Zhengqi Dai Guangping Xia Yajie Niu Yihui Lei 21 0 0 09 Feb 2023
Charting the Sociotechnical Gap in Explainable AI: A Framework to Address the Gap in XAI Upol Ehsan Koustuv Saha M. D. Choudhury Mark O. Riedl 18 57 0 01 Feb 2023
Explainable Deep Reinforcement Learning: State of the Art and Challenges G. Vouros XAI 50 76 0 24 Jan 2023
Efficient learning of large sets of locally optimal classification rules Van Quoc Phuong Huynh Johannes Furnkranz Florian Beck 14 12 0 24 Jan 2023
The Shape of Explanations: A Topological Account of Rule-Based Explanations in Machine Learning Brett Mullins FAtt 10 0 0 22 Jan 2023
ComplAI: Theory of A Unified Framework for Multi-factor Assessment of Black-Box Supervised Machine Learning Models Arkadipta De Satya Swaroop Gudipudi Sourab Panchanan M. Desarkar FaML 13 0 0 30 Dec 2022
Explainable AI for Bioinformatics: Methods, Tools, and Applications Md. Rezaul Karim Tanhim Islam Oya Beyan Christoph Lange Michael Cochez Dietrich-Rebholz Schuhmann Stefan Decker 29 68 0 25 Dec 2022
Explainability in Practice: Estimating Electrification Rates from Mobile Phone Data in Senegal Laura State Hadrien Salat S. Rubrichi Z. Smoreda 11 1 0 11 Nov 2022
Motif-guided Time Series Counterfactual Explanations Peiyu Li S. F. Boubrahimi S. M. Hamdi AI4TS 14 13 0 08 Nov 2022
Extending Logic Explained Networks to Text Classification Rishabh Jain Gabriele Ciravegna Pietro Barbiero Francesco Giannini Davide Buffelli Pietro Lio' FAtt XAI 17 10 0 04 Nov 2022
CLEAR: Generative Counterfactual Explanations on Graphs Jing Ma Ruocheng Guo Saumitra Mishra Aidong Zhang Jundong Li CML OOD 30 53 0 16 Oct 2022
On Trustworthy Decision-Making Process of Human Drivers from the View of Perceptual Uncertainty Reduction Huanjie Wang Haibin Liu Wenshuo Wang Lijun Sun 20 3 0 15 Oct 2022
Explainable AI for clinical and remote health applications: a survey on tabular and time series data Flavio Di Martino Franca Delmastro AI4TS 28 91 0 14 Sep 2022
Making the black-box brighter: interpreting machine learning algorithm for forecasting drilling accidents E. Gurina Nikita Klyuchnikov Ksenia Antipova D. Koroteev FAtt 25 8 0 06 Sep 2022
Explainable AI for Android Malware Detection: Towards Understanding Why the Models Perform So Well? Yue Liu C. Tantithamthavorn Li Li Yepang Liu 37 29 0 02 Sep 2022
Interpreting Black-box Machine Learning Models for High Dimensional Datasets Md. Rezaul Karim Md. Shajalal Alexander Grass Till Dohmen S. Chala Alexander Boden C. Beecks Stefan Decker FAtt 11 17 0 29 Aug 2022
Transcending XAI Algorithm Boundaries through End-User-Inspired Design Weina Jin Jianyu Fan D. Gromala Philippe Pasquier Xiaoxiao Li Ghassan Hamarneh 23 3 0 18 Aug 2022
Leveraging Explanations in Interactive Machine Learning: An Overview Stefano Teso Öznur Alkan Wolfgang Stammer Elizabeth M. Daly XAI FAtt LRM 26 62 0 29 Jul 2022
TE2Rules: Explaining Tree Ensembles using Rules G. R. Lal Xiaotong Chen Varun Mithal 14 3 0 29 Jun 2022
RES: A Robust Framework for Guiding Visual Explanation Yuyang Gao Tong Sun Guangji Bai Siyi Gu S. Hong Liang Zhao FAtt AAML XAI 21 32 0 27 Jun 2022
A Sea of Words: An In-Depth Analysis of Anchors for Text Data Gianluigi Lopardo F. Precioso Damien Garreau 19 6 0 27 May 2022
Personalized Algorithmic Recourse with Preference Elicitation Giovanni De Toni P. Viappiani Stefano Teso Bruno Lepri Andrea Passerini 14 8 0 27 May 2022
Efficient Learning of Interpretable Classification Rules Bishwamittra Ghosh Dmitry Malioutov Kuldeep S. Meel 24 7 0 14 May 2022
Keep Your Friends Close and Your Counterfactuals Closer: Improved Learning From Closest Rather Than Plausible Counterfactual Explanations in an Abstract Setting Ulrike Kuhl André Artelt Barbara Hammer 32 24 0 11 May 2022
Let's Go to the Alien Zoo: Introducing an Experimental Framework to Study Usability of Counterfactual Explanations for Machine Learning Ulrike Kuhl André Artelt Barbara Hammer 32 17 0 06 May 2022
Enriching Artificial Intelligence Explanations with Knowledge Fragments Jože M. Rožanec Elena Trajkova I. Novalija Patrik Zajec K. Kenda B. Fortuna Dunja Mladenić 26 9 0 12 Apr 2022
Statistics and Deep Learning-based Hybrid Model for Interpretable Anomaly Detection Thabang Mathonsi Terence L van Zyl 32 0 0 25 Feb 2022
Introducing explainable supervised machine learning into interactive feedback loops for statistical production system Carlos Mougan G. Kanellos Johannes Micheler Jose Martinez Thomas Gottron 19 1 0 07 Feb 2022
Human Interpretation of Saliency-based Explanation Over Text Hendrik Schuff Alon Jacovi Heike Adel Yoav Goldberg Ngoc Thang Vu MILM XAI FAtt 144 39 0 27 Jan 2022
On the Robustness of Sparse Counterfactual Explanations to Adverse Perturbations M. Virgolin Saverio Fracaros CML 26 36 0 22 Jan 2022
Visual Exploration of Machine Learning Model Behavior with Hierarchical Surrogate Rule Sets Jun Yuan Brian Barr Kyle Overton E. Bertini 23 8 0 19 Jan 2022
Synthesizing explainable counterfactual policies for algorithmic recourse with program synthesis Giovanni De Toni Bruno Lepri Andrea Passerini CML 25 13 0 18 Jan 2022
SLISEMAP: Supervised dimensionality reduction through local explanations Anton Björklund J. Mäkelä Kai Puolamäki FAtt 31 18 0 12 Jan 2022
Prolog-based agnostic explanation module for structured pattern classification Gonzalo Nápoles Fabian Hoitsma A. Knoben A. Jastrzębska Maikel Leon Espinosa 17 13 0 23 Dec 2021
Towards Explainable Artificial Intelligence in Banking and Financial Services Ambreen Hanif 14 9 0 14 Dec 2021
Efficient Decompositional Rule Extraction for Deep Neural Networks Mateo Espinosa Zarlenga Z. Shams M. Jamnik 14 16 0 24 Nov 2021
Covered Information Disentanglement: Model Transparency via Unbiased Permutation Importance J. Pereira E. Stroes A. Zwinderman E. Levin AAML 13 11 0 18 Nov 2021
LoMEF: A Framework to Produce Local Explanations for Global Model Time Series Forecasts Dilini Sewwandi Rajapaksha Christoph Bergmeir Rob J. Hyndman FAtt AI4TS 11 13 0 13 Nov 2021
Counterfactual Shapley Additive Explanations Emanuele Albini Jason Long Danial Dervovic Daniele Magazzeni 26 49 0 27 Oct 2021
ReLAX: Reinforcement Learning Agent eXplainer for Arbitrary Predictive Models Kiran Purohit Soumili Das Jia Wang He Zhu Santu Rana Gabriele Tolomei CML OffRL 28 36 0 22 Oct 2021
Knowledge-driven Active Learning Gabriele Ciravegna F. Precioso Alessandro Betti Kevin Mottin Marco Gori 8 2 0 15 Oct 2021
Consistent Counterfactuals for Deep Models Emily Black Zifan Wang Matt Fredrikson Anupam Datta BDL OffRL OOD 52 43 0 06 Oct 2021
Trustworthy AI: From Principles to Practices Bo-wen Li Peng Qi Bo Liu Shuai Di Jingen Liu Jiquan Pei Jinfeng Yi Bowen Zhou 119 355 0 04 Oct 2021