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Principles and Practice of Explainable Machine Learning

Principles and Practice of Explainable Machine Learning

Frontiers in Big Data (Front. Big Data), 2020
18 September 2020
Vaishak Belle
I. Papantonis
    FaML
ArXiv (abs)PDFHTML

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
Faithful and Interpretable Explanations for Complex Ensemble Time Series Forecasts using Surrogate Models and Forecastability Analysis
Yikai Zhao
Jiekai Ma
AI4TS
105
1
0
09 Oct 2025
Enhancing IoMT Security with Explainable Machine Learning: A Case Study on the CICIOMT2024 Dataset
Enhancing IoMT Security with Explainable Machine Learning: A Case Study on the CICIOMT2024 Dataset
Mohammed Yacoubi
Omar Moussaoui
C. Drocourt
68
0
0
10 Sep 2025
SHAP-Guided Regularization in Machine Learning Models
SHAP-Guided Regularization in Machine Learning Models
Amal Saadallah
TDIFAtt
190
2
0
31 Jul 2025
Fixed Point Explainability
Fixed Point Explainability
Emanuele La Malfa
Jon Vadillo
Marco Molinari
Michael Wooldridge
384
0
0
18 May 2025
SHAP-based Explanations are Sensitive to Feature RepresentationConference on Fairness, Accountability and Transparency (FAccT), 2025
Hyunseung Hwang
Andrew Bell
Joao Fonseca
Venetia Pliatsika
Julia Stoyanovich
Steven Euijong Whang
TDIFAtt
194
5
0
13 May 2025
Financial Data Analysis with Robust Federated Logistic Regression
Financial Data Analysis with Robust Federated Logistic Regression
Kun Yang
Nikhil Krishnan
Sanjeev Kulkarni
FedML
193
0
0
28 Apr 2025
SMT-EX: An Explainable Surrogate Modeling Toolbox for Mixed-Variables Design Exploration
SMT-EX: An Explainable Surrogate Modeling Toolbox for Mixed-Variables Design Exploration
M. R
Paul Saves
P. Palar
L. Zuhal
oseph Morlier
MoELRM
251
4
0
25 Mar 2025
Complex Networks for Pattern-Based Data Classification
Josimar Chire
Khalid Mahmood
Zhao Liang
251
0
0
25 Feb 2025
AR-Pro: Counterfactual Explanations for Anomaly Repair with Formal
  Properties
AR-Pro: Counterfactual Explanations for Anomaly Repair with Formal PropertiesNeural Information Processing Systems (NeurIPS), 2024
Xiayan Ji
Anton Xue
Eric Wong
O. Sokolsky
Insup Lee
146
3
0
31 Oct 2024
Towards Trustworthy Machine Learning in Production: An Overview of the
  Robustness in MLOps Approach
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
137
11
0
28 Oct 2024
Utilising Explainable Techniques for Quality Prediction in a Complex
  Textiles Manufacturing Use Case
Utilising Explainable Techniques for Quality Prediction in a Complex Textiles Manufacturing Use Case
Briony Forsberg
Henry Williams
Bruce MacDonald
Tracy Chen
Reza Hamzeh
Kirstine Hulse
122
0
0
26 Jul 2024
A Survey of Explainable Artificial Intelligence (XAI) in Financial Time
  Series Forecasting
A Survey of Explainable Artificial Intelligence (XAI) in Financial Time Series Forecasting
Pierre-Daniel Arsenault
Shengrui Wang
Jean-Marc Patenande
XAIAI4TS
275
19
0
22 Jul 2024
Explainable Post hoc Portfolio Management Financial Policy of a Deep
  Reinforcement Learning agent
Explainable Post hoc Portfolio Management Financial Policy of a Deep Reinforcement Learning agent
Alejandra de la Rica Escudero
E.C. Garrido-Merchán
Maria Coronado Vaca
AIFin
219
8
0
19 Jul 2024
A Moonshot for AI Oracles in the Sciences
A Moonshot for AI Oracles in the Sciences
Bryan Kaiser
Tailin Wu
Maike Sonnewald
Colin Thackray
Skylar Callis
AI4CE
159
1
0
25 Jun 2024
Interpretable machine learning approach for electron antineutrino
  selection in a large liquid scintillator detector
Interpretable machine learning approach for electron antineutrino selection in a large liquid scintillator detectorPhysics Letters B (Phys. Lett. B), 2024
A. Gavrikov
V. Cerrone
A. Serafini
R. Brugnera
A. Garfagnini
...
A. Triossi
C. Tuvé
C. Venettacci
G. Verde
L. Votano
125
2
0
09 Jun 2024
On Generating Monolithic and Model Reconciling Explanations in Probabilistic Scenarios
On Generating Monolithic and Model Reconciling Explanations in Probabilistic Scenarios
Stylianos Loukas Vasileiou
William Yeoh
Alessandro Previti
Tran Cao Son
204
1
0
29 May 2024
FLARE up your data: Diffusion-based Augmentation Method in Astronomical
  Imaging
FLARE up your data: Diffusion-based Augmentation Method in Astronomical Imaging
Mohammed Talha Alam
Raza Imam
Mohsen Guizani
Fakhri Karray
177
4
0
22 May 2024
Tell me more: Intent Fulfilment Framework for Enhancing User Experiences
  in Conversational XAI
Tell me more: Intent Fulfilment Framework for Enhancing User Experiences in Conversational XAI
A. Wijekoon
D. Corsar
Nirmalie Wiratunga
Kyle Martin
Pedram Salimi
201
2
0
16 May 2024
Feature Importance and Explainability in Quantum Machine Learning
Feature Importance and Explainability in Quantum Machine Learning
Luke Power
Krishnendu Guha
FAttVLM
143
11
0
14 May 2024
T-Explainer: A Model-Agnostic Explainability Framework Based on Gradients
T-Explainer: A Model-Agnostic Explainability Framework Based on Gradients
Evandro S. Ortigossa
Fábio F. Dias
Brian Barr
Claudio T. Silva
L. G. Nonato
FAtt
377
5
0
25 Apr 2024
Multimodal Sleep Apnea Detection with Missing or Noisy Modalities
Multimodal Sleep Apnea Detection with Missing or Noisy Modalities
Hamed Fayyaz
Abigail Strang
N. S. D'Souza
Rahmatollah Beheshti
125
1
0
24 Feb 2024
Dual feature-based and example-based explanation methods
Dual feature-based and example-based explanation methods
A. Konstantinov
Boris V. Kozlov
Stanislav R. Kirpichenko
Lev V. Utkin
FAtt
312
0
0
29 Jan 2024
Explainable Predictive Maintenance: A Survey of Current Methods,
  Challenges and Opportunities
Explainable Predictive Maintenance: A Survey of Current Methods, Challenges and OpportunitiesIEEE Access (IEEE Access), 2024
Logan Cummins
Alexander Sommers
Somayeh Bakhtiari Ramezani
Sudip Mittal
Joseph E. Jabour
Maria Seale
Shahram Rahimi
166
50
0
15 Jan 2024
How Physicality Enables Trust: A New Era of Trust-Centered Cyberphysical
  Systems
How Physicality Enables Trust: A New Era of Trust-Centered Cyberphysical Systems
Stephanie Gil
M. Yemini
A. Chorti
Angelia Nedić
H. Vincent Poor
Andrea J. Goldsmith
AI4CE
254
15
0
13 Nov 2023
One-dimensional convolutional neural network model for breast cancer
  subtypes classification and biochemical content evaluation using micro-FTIR
  hyperspectral images
One-dimensional convolutional neural network model for breast cancer subtypes classification and biochemical content evaluation using micro-FTIR hyperspectral images
Matheus del-Valle
E. Bernardes
D. Zezell
244
0
0
23 Oct 2023
Stabilizing Estimates of Shapley Values with Control Variates
Stabilizing Estimates of Shapley Values with Control Variates
Jeremy Goldwasser
Giles Hooker
FAtt
275
6
0
11 Oct 2023
DINE: Dimensional Interpretability of Node Embeddings
DINE: Dimensional Interpretability of Node EmbeddingsIEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
Simone Piaggesi
Megha Khosla
Andre' Panisson
Avishek Anand
221
9
0
02 Oct 2023
Ethical Framework for Harnessing the Power of AI in Healthcare and
  Beyond
Ethical Framework for Harnessing the Power of AI in Healthcare and BeyondIEEE Access (IEEE Access), 2023
Sidra Nasir
Rizwan Ahmed Khan
Samita Bai
176
49
0
31 Aug 2023
Evaluating and Explaining Large Language Models for Code Using Syntactic
  Structures
Evaluating and Explaining Large Language Models for Code Using Syntactic Structures
David Nader-Palacio
Alejandro Velasco
Daniel Rodríguez-Cárdenas
Kevin Moran
Denys Poshyvanyk
186
11
0
07 Aug 2023
A New Perspective on Evaluation Methods for Explainable Artificial
  Intelligence (XAI)
A New Perspective on Evaluation Methods for Explainable Artificial Intelligence (XAI)
Timo Speith
Markus Langer
189
16
0
26 Jul 2023
Towards Bridging the FL Performance-Explainability Trade-Off: A
  Trustworthy 6G RAN Slicing Use-Case
Towards Bridging the FL Performance-Explainability Trade-Off: A Trustworthy 6G RAN Slicing Use-CaseIEEE Transactions on Vehicular Technology (IEEE Trans. Veh. Technol.), 2023
Swastika Roy
Hatim Chergui
C. Verikoukis
188
14
0
24 Jul 2023
What's meant by explainable model: A Scoping Review
What's meant by explainable model: A Scoping Review
Mallika Mainali
Rosina O. Weber
XAI
222
1
0
18 Jul 2023
Using Decision Trees for Interpretable Supervised Clustering
Using Decision Trees for Interpretable Supervised ClusteringSN Computer Science (SCS), 2023
N. Kokash
L. Makhnist
77
6
0
16 Jul 2023
Ensemble learning for blending gridded satellite and gauge-measured
  precipitation data
Ensemble learning for blending gridded satellite and gauge-measured precipitation dataRemote Sensing (RS), 2023
Georgia Papacharalampous
Hristos Tyralis
N. Doulamis
Anastasios Doulamis
266
10
0
09 Jul 2023
Learning Difference Equations with Structured Grammatical Evolution for
  Postprandial Glycaemia Prediction
Learning Difference Equations with Structured Grammatical Evolution for Postprandial Glycaemia PredictionIEEE journal of biomedical and health informatics (IEEE JBHI), 2023
Daniel Parra
David Joedicke
J. M. Velasco
G. Kronberger
J. I. Hidalgo
110
5
0
03 Jul 2023
Prototype-Based Interpretability for Legal Citation Prediction
Prototype-Based Interpretability for Legal Citation PredictionAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Chunyan Luo
R. Bhambhoria
Samuel Dahan
Xiao-Dan Zhu
ELMAILaw
234
9
0
25 May 2023
Understanding cirrus clouds using explainable machine learning
Understanding cirrus clouds using explainable machine learningEnvironmental Data Science (EDS), 2023
K. Jeggle
D. Neubauer
Gustau Camps-Valls
Ulrike Lohmann
179
6
0
03 May 2023
Explainability in AI Policies: A Critical Review of Communications,
  Reports, Regulations, and Standards in the EU, US, and UK
Explainability in AI Policies: A Critical Review of Communications, Reports, Regulations, and Standards in the EU, US, and UKConference on Fairness, Accountability and Transparency (FAccT), 2023
L. Nannini
Agathe Balayn
A. Smith
242
50
0
20 Apr 2023
Characterizing the contribution of dependent features in XAI methods
Characterizing the contribution of dependent features in XAI methodsIEEE journal of biomedical and health informatics (IEEE JBHI), 2023
Ahmed M. A. Salih
I. Galazzo
Z. Raisi-Estabragh
Steffen E. Petersen
Gloria Menegaz
Petia Radeva
76
14
0
04 Apr 2023
Interpretable Ensembles of Hyper-Rectangles as Base Models
Interpretable Ensembles of Hyper-Rectangles as Base Models
A. Konstantinov
Lev V. Utkin
249
4
0
15 Mar 2023
Helpful, Misleading or Confusing: How Humans Perceive Fundamental
  Building Blocks of Artificial Intelligence Explanations
Helpful, Misleading or Confusing: How Humans Perceive Fundamental Building Blocks of Artificial Intelligence Explanations
E. Small
Yueqing Xuan
Danula Hettiachchi
Kacper Sokol
172
11
0
02 Mar 2023
Explainable Deep Reinforcement Learning: State of the Art and Challenges
Explainable Deep Reinforcement Learning: State of the Art and ChallengesACM Computing Surveys (ACM CSUR), 2022
G. Vouros
XAI
349
118
0
24 Jan 2023
Shapley Values with Uncertain Value Functions
Shapley Values with Uncertain Value FunctionsInternational Symposium on Intelligent Data Analysis (IDA), 2023
R. Heese
Sascha Mucke
Matthias Jakobs
Thore Gerlach
Nico Piatkowski
TDI
141
5
0
19 Jan 2023
XDQN: Inherently Interpretable DQN through Mimicking
XDQN: Inherently Interpretable DQN through Mimicking
Andreas Kontogiannis
G. Vouros
222
1
0
08 Jan 2023
Comparison of tree-based ensemble algorithms for merging satellite and
  earth-observed precipitation data at the daily time scale
Comparison of tree-based ensemble algorithms for merging satellite and earth-observed precipitation data at the daily time scale
Georgia Papacharalampous
Hristos Tyralis
Anastasios Doulamis
N. Doulamis
311
17
0
31 Dec 2022
Comparison of machine learning algorithms for merging gridded satellite
  and earth-observed precipitation data
Comparison of machine learning algorithms for merging gridded satellite and earth-observed precipitation data
Georgia Papacharalampous
Hristos Tyralis
Anastasios Doulamis
N. Doulamis
267
17
0
17 Dec 2022
Quant 4.0: Engineering Quantitative Investment with Automated,
  Explainable and Knowledge-driven Artificial Intelligence
Quant 4.0: Engineering Quantitative Investment with Automated, Explainable and Knowledge-driven Artificial Intelligence
Jian Guo
Saizhuo Wang
L. Ni
H. Shum
AIFin
194
16
0
13 Dec 2022
Training Data Influence Analysis and Estimation: A Survey
Training Data Influence Analysis and Estimation: A SurveyMachine-mediated learning (ML), 2022
Zayd Hammoudeh
Daniel Lowd
TDI
417
144
0
09 Dec 2022
Measuring Competency of Machine Learning Systems and Enforcing
  Reliability
Measuring Competency of Machine Learning Systems and Enforcing Reliability
Michael Planer
J. Sierchio
for BAE Systems
84
0
0
02 Dec 2022
Explainable Artificial Intelligence: Precepts, Methods, and
  Opportunities for Research in Construction
Explainable Artificial Intelligence: Precepts, Methods, and Opportunities for Research in ConstructionAdvanced Engineering Informatics (AEI), 2022
Peter E. D. Love
Weili Fang
J. Matthews
Stuart Porter
Hanbin Luo
L. Ding
XAI
176
10
0
12 Nov 2022
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