v1v2v3 (latest)

Techniques for Interpretable Machine Learning

31 July 2018

Ninghao Liu

Papers citing "Techniques for Interpretable Machine Learning"

50 / 310 papers shown

Title
CID: Measuring Feature Importance Through Counterfactual Distributions Eddie Conti Álvaro Parafita Axel Brando FAtt CML 293 0 0 19 Nov 2025
ClinStructor: AI-Powered Structuring of Unstructured Clinical Texts Karthikeyan K Raghuveer Thirukovalluru David Edwin Carlson 69 1 0 14 Nov 2025
Counterfactual Explanation for Multivariate Time Series Forecasting with Exogenous Variables Keita Kinjo AI4TS CML 480 0 0 10 Nov 2025
Preliminary Quantitative Study on Explainability and Trust in AI Systems Allen Daniel Sunny 48 0 0 17 Oct 2025
Restricted Receptive Fields for Face Verification Kagan Öztürk Aman Bhatta Haiyu Wu Patrick Flynn Kevin W. Bowyer CVBM FAtt 157 0 0 12 Oct 2025
TopInG: Topologically Interpretable Graph Learning via Persistent Rationale Filtration Cheng Xin Fan Xu Xin Ding Jie Gao Jiaxin Ding 113 0 0 06 Oct 2025
TSKAN: Interpretable Machine Learning for QoE modeling over Time Series Data Kamal Singh Priyanka Rawat Sami Marouani Baptiste Jeudy AI4TS 64 0 0 24 Sep 2025
Explainable Knowledge Graph Retrieval-Augmented Generation (KG-RAG) with KG-SMILE Zahra Zehtabi Sabeti Moghaddam Zeinab Dehghani Maneeha Rani Mohammed Naveed Akram B. Mishra R. R. Kureshi D. Thakker 112 0 0 03 Sep 2025
L-XAIDS: A LIME-based eXplainable AI framework for Intrusion Detection SystemsCluster Computing (CC), 2025 Aoun E Muhammad Kin-Choong Yow Nebojsa Bacanin-Dzakula Muhammad Attique Khan AAML 48 0 0 24 Aug 2025
Uppaal Coshy: Automatic Synthesis of Compact Shields for Hybrid Systems Asger Horn Brorholt Andreas Holck Høeg-Petersen P. G. Jensen Kim G. Larsen Marius Mikucionis Christian Schilling Andrzej Wąsowski 48 0 0 22 Aug 2025
Attribution Explanations for Deep Neural Networks: A Theoretical Perspective Huiqi Deng Hongbin Pei Quanshi Zhang Mengnan Du FAtt 114 1 0 11 Aug 2025
Comprehensive Evaluation of Prototype Neural Networks Philipp Schlinge Steffen Meinert Martin Atzmueller 171 1 0 09 Jul 2025
Graph Neural Networks in Modern AI-aided Drug DiscoveryChemical Reviews (Chem. Rev.), 2025 Odin Zhang Haitao Lin Xujun Zhang Xiaorui Wang Zhenxing Wu ... Jike Wang Kejun Ying Yu Kang Chang-Yu Hsieh Tingjun Hou GNN AI4CE 92 6 0 07 Jun 2025
Explaining Large Language Models with gSMILE Zeinab Dehghani Mohammed Naveed Akram Adil Khan Mohammed Naveed Akram Y. Papadopoulos MILM LRM 444 0 0 27 May 2025
Automatic and Structure-Aware Sparsification of Hybrid Neural ODEs Bob Junyi Zou Lu Tian AI4CE 116 0 0 25 May 2025
Interpretable Reinforcement Learning for Load Balancing using Kolmogorov-Arnold Networks Kamal Singh Sami Marouani Ahmad Al Sheikh Pham Tran Anh Quang Amaury Habrard 278 1 0 20 May 2025
Model-Agnostic Policy Explanations with Large Language Models Zhang Xi-Jia Yue (Sophie) Guo Shufei Chen Simon Stepputtis Matthew C. Gombolay Katia Sycara Joseph Campbell LM&Ro LRM 235 3 0 08 Apr 2025
The Impact of Transparency in AI Systems on Users' Data-Sharing Intentions: A Scenario-Based ExperimentWirtschaftsinformatik (WI), 2025 Julian Rosenberger Sophie Kuhlemann Verena Tiefenbeck Mathias Kraus Patrick Zschech 237 1 0 27 Feb 2025
Self-Explaining Hypergraph Neural Networks for Diagnosis PredictionACM Conference on Health, Inference, and Learning (CHIL), 2025 Leisheng Yu Yanxiao Cai Minxing Zhang Helen Zhou FAtt 916 1 0 15 Feb 2025
Faithful Counterfactual Visual Explanations (FCVE)Knowledge-Based Systems (KBS), 2024 Bismillah Khan Syed Ali Tariq Tehseen Zia Muhammad Ahsan David Windridge 168 1 0 12 Jan 2025
Towards Counterfactual and Contrastive Explainability and Transparency of DCNN Image ClassifiersKnowledge-Based Systems (KBS), 2022 Syed Ali Tariq Tehseen Zia Mubeen Ghafoor AAML 278 9 0 12 Jan 2025
Designing Visual Explanations and Learner Controls to Engage Adolescents in AI-Supported Exercise SelectionInternational Conference on Learning Analytics and Knowledge (LAK), 2024 Jeroen Ooge Arno Vanneste Maxwell Szymanski K. Verbert 176 1 0 20 Dec 2024
Learning Predictive Checklists with Probabilistic Logic Programming Yukti Makhija E. Brouwer Rahul G. Krishnan 312 0 0 25 Nov 2024
CRTRE: Causal Rule Generation with Target Trial Emulation FrameworkBigData Congress [Services Society] (BSS), 2024 Junda Wang Weijian Li Han Wang Hanjia Lyu Caroline P. Thirukumaran A. Mesfin Hong-ye Yu Jiebo Luo 171 0 0 10 Nov 2024
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor NetworksJournal of Network and Computer Applications (JNCA), 2024 Pau Ferrer-Cid Jose M. Barcelo-Ordinas J. García-Vidal 461 6 0 28 Oct 2024
Towards Trustworthy Machine Learning in Production: An Overview of the Robustness in MLOps ApproachACM Computing Surveys (ACM CSUR), 2024 Firas Bayram Bestoun S. Ahmed OOD 133 10 0 28 Oct 2024
Linking Model Intervention to Causal Interpretation in Model Explanation Debo Cheng Ziqi Xu Jiuyong Li Lin Liu Kui Yu T. Le Jixue Liu CML 231 0 0 21 Oct 2024
Subversive Characters and Stereotyping Readers: Characterizing Queer Relationalities with Dialogue-Based Relation ExtractionWorkshop on Computational Humanities Research (CHR), 2024 Kent K. Chang Anna Ho David Bamman 139 2 0 19 Oct 2024
XForecast: Evaluating Natural Language Explanations for Time Series Forecasting Taha Aksu Chenghao Liu Amrita Saha Sarah Tan Caiming Xiong Doyen Sahoo AI4TS 140 3 0 18 Oct 2024
SSET: Swapping-Sliding Explanation for Time Series Classifiers in Affect Detection Nazanin Fouladgar Marjan Alirezaie Kary Främling AI4TS FAtt 176 0 0 16 Oct 2024
Continuous Risk Prediction Yi Dai 128 0 0 12 Oct 2024
Navigating the Shortcut Maze: A Comprehensive Analysis of Shortcut Learning in Text Classification by Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2024 Yuqing Zhou Ruixiang Tang Ziyu Yao Ziwei Zhu 256 6 0 26 Sep 2024
Local Explanations and Self-Explanations for Assessing Faithfulness in black-box LLMsHellenic Conference on Artificial Intelligence (HAI), 2024 Christos Fragkathoulas Odysseas S. Chlapanis LRM 118 2 0 18 Sep 2024
NeuSemSlice: Towards Effective DNN Model Maintenance via Neuron-level Semantic Slicing Shide Zhou Tianlin Li Yihao Huang Ling Shi Kailong Wang Yang Liu Huaimin Wang 200 1 0 26 Jul 2024
Self-driving lab discovers principles for steering spontaneous emission Saaketh Desai S. Addamane Jeffery Y. Tsao Igal Brener Rémi Dingreville Prasad P Iyer 108 0 0 22 Jul 2024
Local Feature Selection without Label or Feature Leakage for Interpretable Machine Learning Predictions Harrie Oosterhuis Lijun Lyu Avishek Anand FAtt 281 3 0 16 Jul 2024
Causal Inference with Latent Variables: Recent Advances and Future Prospectives Yaochen Zhu Yinhan He Jing Ma Mengxuan Hu Sheng Li Jundong Li CML 207 5 0 20 Jun 2024
Beyond 5G Network Failure Classification for Network Digital Twin Using Graph Neural Network Abubakar Isah I. Aliyu Jaechan Shim Hoyong Ryu Jinsul Kim 102 1 0 06 Jun 2024
Local vs. Global Interpretability: A Computational Complexity Perspective Shahaf Bassan Guy Amir Guy Katz 320 19 0 05 Jun 2024
Small but Fair! Fairness for Multimodal Human-Human and Robot-Human Mental Wellbeing CoachingIEEE Transactions on Affective Computing (IEEE Trans. Affective Comput.), 2024 Jiaee Cheong Micol Spitale Hatice Gunes 154 10 0 15 May 2024
Empowering Time Series Analysis with Foundation Models: A Comprehensive Survey Weiqi Zhang Yongzi Yu Ke Yi Yongzi Yu Ziyue Li Jia Li AI4TS AI4CE 303 26 0 03 May 2024
When a Relation Tells More Than a Concept: Exploring and Evaluating Classifier Decisions with CoReX Bettina Finzel Patrick Hilme Johannes Rabold Ute Schmid 340 2 0 02 May 2024
Deep Learning for Wildfire Risk Prediction: Integrating Remote Sensing and Environmental Data Zhengsen Xu Jonathan Li Sibo Cheng Xue Rui Yu Zhao ... Haiyan Guan Aryan Sharma Matthew Erxleben Ryan Chang Linlin Xu 361 0 0 02 May 2024
Generating Counterfactual Explanations Using Cardinality Constraints Rubén Ruiz-Torrubiano LRM 70 0 0 11 Apr 2024
Fair MP-BOOST: Fair and Interpretable Minipatch BoostingIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024 Camille Olivia Little Genevera I. Allen 138 0 0 01 Apr 2024
Interpretable Modeling of Deep Reinforcement Learning Driven Scheduling Boyang Li Zhiling Lan M. Papka OffRL 100 0 0 24 Mar 2024
Interpretable Machine Learning for Weather and Climate Prediction: A Survey Ruyi Yang Jingyu Hu Zihao Li Jianli Mu Tingzhao Yu Jiangjiang Xia Xuhong Li Aritra Dasgupta Haoyi Xiong AI4CE 255 7 0 24 Mar 2024
A survey on Concept-based Approaches For Model Improvement Avani Gupta P. J. Narayanan LRM 228 5 0 21 Mar 2024
A Roadmap Towards Automated and Regulated Robotic Systems Yihao Liu Mehran Armand 157 2 0 21 Mar 2024
Trust in AI: Progress, Challenges, and Future DirectionsHumanities and Social Sciences Communications (HSSC), 2024 S. Afroogh Ali Akbari Evan Malone Mohammadali Kargar Hananeh Alambeigi AI4TS 161 124 0 12 Mar 2024