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2009.11698
Cited By
Principles and Practice of Explainable Machine Learning
Frontiers in Big Data (Front. Big Data), 2020
18 September 2020
Vaishak Belle
I. Papantonis
FaML
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Papers citing
"Principles and Practice of Explainable Machine Learning"
50 / 90 papers shown
Title
Faithful and Interpretable Explanations for Complex Ensemble Time Series Forecasts using Surrogate Models and Forecastability Analysis
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Omar Moussaoui
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SHAP-Guided Regularization in Machine Learning Models
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Fixed Point Explainability
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SHAP-based Explanations are Sensitive to Feature Representation
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Andrew Bell
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Financial Data Analysis with Robust Federated Logistic Regression
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Nikhil Krishnan
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28 Apr 2025
SMT-EX: An Explainable Surrogate Modeling Toolbox for Mixed-Variables Design Exploration
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Paul Saves
P. Palar
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oseph Morlier
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255
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25 Mar 2025
Complex Networks for Pattern-Based Data Classification
Josimar Chire
Khalid Mahmood
Zhao Liang
251
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25 Feb 2025
AR-Pro: Counterfactual Explanations for Anomaly Repair with Formal Properties
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Xiayan Ji
Anton Xue
Eric Wong
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154
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Bestoun S. Ahmed
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28 Oct 2024
Utilising Explainable Techniques for Quality Prediction in a Complex Textiles Manufacturing Use Case
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Henry Williams
Bruce MacDonald
Tracy Chen
Reza Hamzeh
Kirstine Hulse
130
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26 Jul 2024
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Pierre-Daniel Arsenault
Shengrui Wang
Jean-Marc Patenande
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291
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22 Jul 2024
Explainable Post hoc Portfolio Management Financial Policy of a Deep Reinforcement Learning agent
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E.C. Garrido-Merchán
Maria Coronado Vaca
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219
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Tailin Wu
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Colin Thackray
Skylar Callis
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179
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25 Jun 2024
Interpretable machine learning approach for electron antineutrino selection in a large liquid scintillator detector
Physics Letters B (Phys. Lett. B), 2024
A. Gavrikov
V. Cerrone
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R. Brugnera
A. Garfagnini
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A. Triossi
C. Tuvé
C. Venettacci
G. Verde
L. Votano
133
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0
09 Jun 2024
On Generating Monolithic and Model Reconciling Explanations in Probabilistic Scenarios
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William Yeoh
Alessandro Previti
Tran Cao Son
212
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29 May 2024
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Raza Imam
Mohsen Guizani
Fakhri Karray
177
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D. Corsar
Nirmalie Wiratunga
Kyle Martin
Pedram Salimi
209
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Feature Importance and Explainability in Quantum Machine Learning
Luke Power
Krishnendu Guha
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175
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T-Explainer: A Model-Agnostic Explainability Framework Based on Gradients
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Fábio F. Dias
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Claudio T. Silva
L. G. Nonato
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385
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Multimodal Sleep Apnea Detection with Missing or Noisy Modalities
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Abigail Strang
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141
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Dual feature-based and example-based explanation methods
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332
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Explainable Predictive Maintenance: A Survey of Current Methods, Challenges and Opportunities
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Alexander Sommers
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Joseph E. Jabour
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Shahram Rahimi
190
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How Physicality Enables Trust: A New Era of Trust-Centered Cyberphysical Systems
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M. Yemini
A. Chorti
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Andrea J. Goldsmith
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258
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One-dimensional convolutional neural network model for breast cancer subtypes classification and biochemical content evaluation using micro-FTIR hyperspectral images
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252
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Stabilizing Estimates of Shapley Values with Control Variates
Jeremy Goldwasser
Giles Hooker
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279
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11 Oct 2023
DINE: Dimensional Interpretability of Node Embeddings
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Simone Piaggesi
Megha Khosla
Andre' Panisson
Avishek Anand
225
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02 Oct 2023
Ethical Framework for Harnessing the Power of AI in Healthcare and Beyond
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Rizwan Ahmed Khan
Samita Bai
184
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31 Aug 2023
Evaluating and Explaining Large Language Models for Code Using Syntactic Structures
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194
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A New Perspective on Evaluation Methods for Explainable Artificial Intelligence (XAI)
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Markus Langer
193
16
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26 Jul 2023
Towards Bridging the FL Performance-Explainability Trade-Off: A Trustworthy 6G RAN Slicing Use-Case
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Hatim Chergui
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200
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24 Jul 2023
What's meant by explainable model: A Scoping Review
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254
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Ensemble learning for blending gridded satellite and gauge-measured precipitation data
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Georgia Papacharalampous
Hristos Tyralis
N. Doulamis
Anastasios Doulamis
282
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Learning Difference Equations with Structured Grammatical Evolution for Postprandial Glycaemia Prediction
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David Joedicke
J. M. Velasco
G. Kronberger
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110
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Prototype-Based Interpretability for Legal Citation Prediction
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Chunyan Luo
R. Bhambhoria
Samuel Dahan
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238
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Understanding cirrus clouds using explainable machine learning
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K. Jeggle
D. Neubauer
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187
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Explainability in AI Policies: A Critical Review of Communications, Reports, Regulations, and Standards in the EU, US, and UK
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L. Nannini
Agathe Balayn
A. Smith
242
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Characterizing the contribution of dependent features in XAI methods
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I. Galazzo
Z. Raisi-Estabragh
Steffen E. Petersen
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Interpretable Ensembles of Hyper-Rectangles as Base Models
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Helpful, Misleading or Confusing: How Humans Perceive Fundamental Building Blocks of Artificial Intelligence Explanations
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Danula Hettiachchi
Kacper Sokol
172
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Explainable Deep Reinforcement Learning: State of the Art and Challenges
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Shapley Values with Uncertain Value Functions
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Sascha Mucke
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Thore Gerlach
Nico Piatkowski
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XDQN: Inherently Interpretable DQN through Mimicking
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Comparison of tree-based ensemble algorithms for merging satellite and earth-observed precipitation data at the daily time scale
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Comparison of machine learning algorithms for merging gridded satellite and earth-observed precipitation data
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Training Data Influence Analysis and Estimation: A Survey
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Measuring Competency of Machine Learning Systems and Enforcing Reliability
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J. Sierchio
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Explainable Artificial Intelligence: Precepts, Methods, and Opportunities for Research in Construction
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Weili Fang
J. Matthews
Stuart Porter
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L. Ding
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