Interpretable classifiers using rules and Bayesian analysis: Building a better stroke prediction model

5 November 2015

Papers citing "Interpretable classifiers using rules and Bayesian analysis: Building a better stroke prediction model"

50 / 244 papers shown

Title
Robust Hypothesis Generation: LLM-Automated Language Bias for Inductive Logic Programming Yang Yang Jiemin Wu Yutao Yue 15 0 0 27 May 2025
Explainable AI the Latest Advancements and New Trends Bowen Long Enjie Liu Renxi Qiu Yanqing Duan XAI 154 0 0 11 May 2025
CFIRE: A General Method for Combining Local Explanations Sebastian Müller Vanessa Toborek Tamás Horváth Christian Bauckhage FAtt 82 0 0 01 Apr 2025
Logic Explanation of AI Classifiers by Categorical Explaining Functors S. Fioravanti Francesco Giannini Paolo Frazzetto Fabio Zanasi Pietro Barbiero 86 0 0 20 Mar 2025
Demystifying the Accuracy-Interpretability Trade-Off: A Case Study of Inferring Ratings from Reviews Pranjal Atrey Michael P. Brundage Min Wu Sanghamitra Dutta 52 0 0 10 Mar 2025
Accurate Explanation Model for Image Classifiers using Class Association Embedding Ruitao Xie Jingbang Chen Limai Jiang Rui Xiao Yi-Lun Pan Yunpeng Cai 240 4 0 31 Dec 2024
Neuro-Symbolic Rule Lists Sascha Xu Nils Philipp Walter Jilles Vreeken 61 0 0 10 Nov 2024
Learning local discrete features in explainable-by-design convolutional neural networks Pantelis I. Kaplanoglou Konstantinos Diamantaras FAtt 102 1 0 31 Oct 2024
RGMDT: Return-Gap-Minimizing Decision Tree Extraction in Non-Euclidean Metric Space Jingdi Chen Hanhan Zhou Yongsheng Mei Carlee Joe-Wong Gina Adam Nathaniel D. Bastian Tian-Shing Lan OffRL 51 0 0 21 Oct 2024
Understanding with toy surrogate models in machine learning Andrés Páez SyDa 101 0 0 08 Oct 2024
Neural Symbolic Logical Rule Learner for Interpretable Learning Bowen Wei Ziwei Zhu AI4CE 50 0 0 21 Aug 2024
KnowPC: Knowledge-Driven Programmatic Reinforcement Learning for Zero-shot Coordination Yin Gu Qi Liu Zhi Li Kai Zhang 56 0 0 08 Aug 2024
Incremental XAI: Memorable Understanding of AI with Incremental Explanations Jessica Y. Bo Pan Hao Brian Y Lim CLL 52 8 0 10 Apr 2024
Genos: General In-Network Unsupervised Intrusion Detection by Rule Extraction Ruoyu Li Qing Li Yu Zhang Dan Zhao Xi Xiao Yong Jiang 56 3 0 28 Mar 2024
Information Cascade Prediction under Public Emergencies: A Survey Qi Zhang Guang Wang Li Lin Kaiwen Xia Shuai Wang AI4CE 35 1 0 28 Mar 2024
Forest-ORE: Mining Optimal Rule Ensemble to interpret Random Forest models Haddouchi Maissae Berrado Abdelaziz 71 1 0 26 Mar 2024
Axe the X in XAI: A Plea for Understandable AI Andrés Páez 91 0 0 01 Mar 2024
XAI-CF -- Examining the Role of Explainable Artificial Intelligence in Cyber Forensics Shahid Alam Zeynep Altıparmak 64 3 0 04 Feb 2024
Dissecting users' needs for search result explanations Prerna Juneja Wenjuan Zhang Alison Smith-Renner Hemank Lamba Joel R. Tetreault Alex Jaimes FAtt 56 5 0 29 Jan 2024
Understanding Disparities in Post Hoc Machine Learning Explanation Vishwali Mhasawade Salman Rahman Zoe Haskell-Craig R. Chunara 64 5 0 25 Jan 2024
Uncertainty in Additive Feature Attribution methods Abhishek Madaan Tanya Chowdhury Neha Rana James Allan Tanmoy Chakraborty 72 0 0 29 Nov 2023
Efficient Open-world Reinforcement Learning via Knowledge Distillation and Autonomous Rule Discovery Ekaterina Nikonova Cheng Xue Jochen Renz CLL 69 1 0 24 Nov 2023
Interpretable Reinforcement Learning for Robotics and Continuous Control Rohan R. Paleja Letian Chen Yaru Niu Andrew Silva Zhaoxin Li ... K. Chang H. E. Tseng Yan Wang S. Nageshrao Matthew C. Gombolay 78 7 0 16 Nov 2023
Learning Interpretable Rules for Scalable Data Representation and Classification Zhuo Wang Wei Zhang Ning Liu Jianyong Wang 56 8 0 22 Oct 2023
LIPEx-Locally Interpretable Probabilistic Explanations-To Look Beyond The True Class Hongbo Zhu Angelo Cangelosi Procheta Sen Anirbit Mukherjee FAtt 61 0 0 07 Oct 2023
Limits of Actor-Critic Algorithms for Decision Tree Policies Learning in IBMDPs Hector Kohler R. Akrour Philippe Preux OffRL 74 1 0 23 Sep 2023
Evaluation of Human-Understandability of Global Model Explanations using Decision Tree Adarsa Sivaprasad Ehud Reiter N. Tintarev Nir Oren FAtt 54 4 0 18 Sep 2023
Community-Based Hierarchical Positive-Unlabeled (PU) Model Fusion for Chronic Disease Prediction Yang Wu Xurui Li Xuhong Zhang Yangyang Kang Changlong Sun Xiaozhong Liu 58 3 0 06 Sep 2023
Explainable AI for clinical risk prediction: a survey of concepts, methods, and modalities Munib Mesinovic Peter Watkinson Ting Zhu FaML 74 3 0 16 Aug 2023
Roses Have Thorns: Understanding the Downside of Oncological Care Delivery Through Visual Analytics and Sequential Rule Mining Carla Floricel A. Wentzel A. Mohamed Clifton Fuller G. Canahuate G. Marai 49 2 0 15 Aug 2023
Explainable AI applications in the Medical Domain: a systematic review Nicoletta Prentzas A. Kakas Constantinos S. Pattichis 69 11 0 10 Aug 2023
Understanding the Effect of Counterfactual Explanations on Trust and Reliance on AI for Human-AI Collaborative Clinical Decision Making Min Hun Lee Chong Jun Chew 88 34 0 08 Aug 2023
Feature Importance Measurement based on Decision Tree Sampling Chao Huang Diptesh Das Koji Tsuda FAtt 63 2 0 25 Jul 2023
Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repeat Shantanu Ghosh K. Yu Forough Arabshahi Kayhan Batmanghelich MoE 68 14 0 07 Jul 2023
Four Axiomatic Characterizations of the Integrated Gradients Attribution Method Daniel Lundstrom Meisam Razaviyayn FAtt 38 3 0 23 Jun 2023
Active Globally Explainable Learning for Medical Images via Class Association Embedding and Cyclic Adversarial Generation Ruitao Xie Jingbang Chen Limai Jiang Ru Xiao Yi-Lun Pan Yunpeng Cai GAN MedIm 44 0 0 12 Jun 2023
Interpretable Differencing of Machine Learning Models Swagatam Haldar Diptikalyan Saha Dennis L. Wei Rahul Nair Elizabeth M. Daly 61 1 0 10 Jun 2023
Explainable AI using expressive Boolean formulas G. Rosenberg J. K. Brubaker M. Schuetz Grant Salton Zhihuai Zhu E. Zhu Serdar Kadioğlu S. E. Borujeni H. Katzgraber 58 8 0 06 Jun 2023
Explainable Machine Learning for Categorical and Mixed Data with Lossless Visualization Boris Kovalerchuk Elijah McCoy 62 3 0 29 May 2023
Extending Explainable Boosting Machines to Scientific Image Data Daniel Schug Sai Yerramreddy R. Caruana Craig S. Greenberg Justyna P. Zwolak 101 2 0 25 May 2023
Curve Your Enthusiasm: Concurvity Regularization in Differentiable Generalized Additive Models Julien N. Siems Konstantin Ditschuneit Winfried Ripken Alma Lindborg Maximilian Schambach Johannes Otterbach Martin Genzel 83 6 0 19 May 2023
Distributing Synergy Functions: Unifying Game-Theoretic Interaction Methods for Machine-Learning Explainability Daniel Lundstrom Meisam Razaviyayn FAtt 57 1 0 04 May 2023
Categorical Foundations of Explainable AI: A Unifying Theory Pietro Barbiero S. Fioravanti Francesco Giannini Alberto Tonda Pietro Lio Elena Di Lavore XAI 66 2 0 27 Apr 2023
SketchXAI: A First Look at Explainability for Human Sketches Zhiyu Qu Yulia Gryaditskaya Ke Li Kaiyue Pang Tao Xiang Yi-Zhe Song 78 8 0 23 Apr 2023
A Review on Explainable Artificial Intelligence for Healthcare: Why, How, and When? M. Rubaiyat Hossain Mondal Prajoy Podder 86 64 0 10 Apr 2023
From Conception to Deployment: Intelligent Stroke Prediction Framework using Machine Learning and Performance Evaluation Leila Ismail Huned Materwala 41 5 0 01 Apr 2023
XAIR: A Framework of Explainable AI in Augmented Reality Xuhai Xu Anna Yu Tanya R. Jonker Kashyap Todi Feiyu Lu ... Narine Kokhlikyan Fulton Wang P. Sorenson Sophie Kahyun Kim Hrvoje Benko 89 54 0 28 Mar 2023
Goal Driven Discovery of Distributional Differences via Language Descriptions Ruiqi Zhong Peter Zhang Steve Li Jinwoo Ahn Dan Klein Jacob Steinhardt 115 53 0 28 Feb 2023
A Survey on Event Prediction Methods from a Systems Perspective: Bringing Together Disparate Research Areas Janik-Vasily Benzin Stefanie Rinderle-Ma AI4TS 107 2 0 08 Feb 2023
Efficient learning of large sets of locally optimal classification rules Van Quoc Phuong Huynh Johannes Furnkranz Florian Beck 33 12 0 24 Jan 2023