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A Unified Approach to Interpreting Model Predictions

A Unified Approach to Interpreting Model Predictions

22 May 2017
Scott M. Lundberg
Su-In Lee
    FAtt
ArXivPDFHTML

Papers citing "A Unified Approach to Interpreting Model Predictions"

50 / 1,822 papers shown
Title
Multivariate Temporal Regression at Scale: A Three-Pillar Framework Combining ML, XAI, and NLP
Multivariate Temporal Regression at Scale: A Three-Pillar Framework Combining ML, XAI, and NLP
Jiztom Kavalakkatt Francis
Matthew J. Darr
53
0
0
02 Apr 2025
Rethinking industrial artificial intelligence: a unified foundation framework
Rethinking industrial artificial intelligence: a unified foundation framework
Jay Lee
Hanqi Su
AI4CE
77
1
0
02 Apr 2025
Antithetic Sampling for Top-k Shapley Identification
Antithetic Sampling for Top-k Shapley Identification
Patrick Kolpaczki
Tim Nielen
Eyke Hüllermeier
TDI
FAtt
101
0
0
02 Apr 2025
An Explainable Reconfiguration-Based Optimization Algorithm for Industrial and Reliability-Redundancy Allocation Problems
An Explainable Reconfiguration-Based Optimization Algorithm for Industrial and Reliability-Redundancy Allocation Problems
Dikshit Chauhan
Nitin Gupta
Anupam Yadav
30
0
0
02 Apr 2025
Towards Responsible and Trustworthy Educational Data Mining: Comparing Symbolic, Sub-Symbolic, and Neural-Symbolic AI Methods
Towards Responsible and Trustworthy Educational Data Mining: Comparing Symbolic, Sub-Symbolic, and Neural-Symbolic AI Methods
Danial Hooshyar
Eve Kikas
Yeongwook Yang
Gustav Šír
Raija Hamalainen
T. Karkkainen
Roger Azevedo
89
1
0
01 Apr 2025
Automated Explanation of Machine Learning Models of Footballing Actions in Words
Automated Explanation of Machine Learning Models of Footballing Actions in Words
Pegah Rahimian
Jernej Flisar
David Sumpter
43
0
0
01 Apr 2025
Graph Classification and Radiomics Signature for Identification of Tuberculous Meningitis
Graph Classification and Radiomics Signature for Identification of Tuberculous Meningitis
Snigdha Agarwal
Ganaraja V H
N. Sinha
Abhilasha Indoria
Netravathi M
Jitender Saini
45
0
0
01 Apr 2025
Immersive Explainability: Visualizing Robot Navigation Decisions through XAI Semantic Scene Projections in Virtual Reality
Immersive Explainability: Visualizing Robot Navigation Decisions through XAI Semantic Scene Projections in Virtual Reality
Jorge de Heuvel
Sebastian Müller
Marlene Wessels
Aftab Akhtar
Christian Bauckhage
Maren Bennewitz
67
0
0
01 Apr 2025
Explainable post-training bias mitigation with distribution-based fairness metrics
Explainable post-training bias mitigation with distribution-based fairness metrics
Ryan Franks
A. Miroshnikov
57
0
0
01 Apr 2025
CFIRE: A General Method for Combining Local Explanations
CFIRE: A General Method for Combining Local Explanations
Sebastian Müller
Vanessa Toborek
Tamás Horváth
Christian Bauckhage
FAtt
69
0
0
01 Apr 2025
Uncertainty Propagation in XAI: A Comparison of Analytical and Empirical Estimators
Uncertainty Propagation in XAI: A Comparison of Analytical and Empirical Estimators
Teodor Chiaburu
Felix Bießmann
Frank Haußer
37
0
0
01 Apr 2025
Comparative Explanations: Explanation Guided Decision Making for Human-in-the-Loop Preference Selection
Comparative Explanations: Explanation Guided Decision Making for Human-in-the-Loop Preference Selection
Tanmay Chakraborty
Christian Wirth
Christin Seifert
42
0
0
01 Apr 2025
GAL-MAD: Towards Explainable Anomaly Detection in Microservice Applications Using Graph Attention Networks
GAL-MAD: Towards Explainable Anomaly Detection in Microservice Applications Using Graph Attention Networks
Lahiru Akmeemana
Chamodya Attanayake
Husni Faiz
Sandareka Wickramanayake
MLAU
AI4TS
73
0
0
31 Mar 2025
Graph Transformer-Based Flood Susceptibility Mapping: Application to the French Riviera and Railway Infrastructure Under Climate Change
Graph Transformer-Based Flood Susceptibility Mapping: Application to the French Riviera and Railway Infrastructure Under Climate Change
Sreenath Vemula
Filippo Gatti
Pierre Jehel
AI4CE
31
0
0
31 Mar 2025
Improving Predictions of Convective Storm Wind Gusts through Statistical Post-Processing of Neural Weather Models
Improving Predictions of Convective Storm Wind Gusts through Statistical Post-Processing of Neural Weather Models
Antoine Leclerc
Erwan Koch
Monika Feldmann
D. Nerini
Tom Beucler
43
0
0
31 Mar 2025
Which LIME should I trust? Concepts, Challenges, and Solutions
Which LIME should I trust? Concepts, Challenges, and Solutions
Patrick Knab
Sascha Marton
Udo Schlegel
Christian Bartelt
FAtt
83
0
0
31 Mar 2025
LLMs for Explainable AI: A Comprehensive Survey
LLMs for Explainable AI: A Comprehensive Survey
Ahsan Bilal
David Ebert
Beiyu Lin
109
5
0
31 Mar 2025
Investigation of intelligent barbell squat coaching system based on computer vision and machine learning
Investigation of intelligent barbell squat coaching system based on computer vision and machine learning
Yinq-Rong Chern
Yuhao Lee
Hsiao-Ching Lin
Guan-Ting Chen
Ying-Hsien Chen
Fu-Sung Lin
Chih-Yao Chuang
Jenn-Jier James Lien
Chih-Hsien Huang
41
0
0
31 Mar 2025
Interpretable Machine Learning in Physics: A Review
Interpretable Machine Learning in Physics: A Review
Sebastian Johann Wetzel
Seungwoong Ha
Raban Iten
Miriam Klopotek
Ziming Liu
AI4CE
109
1
0
30 Mar 2025
How to safely discard features based on aggregate SHAP values
How to safely discard features based on aggregate SHAP values
Robi Bhattacharjee
Karolin Frohnapfel
U. V. Luxburg
TDI
FAtt
94
0
0
29 Mar 2025
Shapley Revisited: Tractable Responsibility Measures for Query Answers
Shapley Revisited: Tractable Responsibility Measures for Query Answers
Meghyn Bienvenu
Diego Figueira
Pierre Lafourcade
49
0
0
28 Mar 2025
Pairwise Matching of Intermediate Representations for Fine-grained Explainability
Pairwise Matching of Intermediate Representations for Fine-grained Explainability
Lauren Shrack
T. Haucke
Antoine Salaün
Arjun Subramonian
Sara Beery
67
0
0
28 Mar 2025
MASCOTS: Model-Agnostic Symbolic COunterfactual explanations for Time Series
MASCOTS: Model-Agnostic Symbolic COunterfactual explanations for Time Series
Dawid Płudowski
Francesco Spinnato
Piotr Wilczyñski
Krzysztof Kotowski
Evridiki Vasileia Ntagiou
Riccardo Guidotti
P. Biecek
AI4TS
58
0
0
28 Mar 2025
Feature-Enhanced Machine Learning for All-Cause Mortality Prediction in Healthcare Data
Feature-Enhanced Machine Learning for All-Cause Mortality Prediction in Healthcare Data
HyeYoung Lee
Pavel Tsoi
52
0
0
27 Mar 2025
TraNCE: Transformative Non-linear Concept Explainer for CNNs
TraNCE: Transformative Non-linear Concept Explainer for CNNs
Ugochukwu Ejike Akpudo
Yongsheng Gao
J. Zhou
Andrew Lewis
89
0
0
26 Mar 2025
Hierarchical Attention Network for Interpretable ECG-based Heart Disease Classification
Hierarchical Attention Network for Interpretable ECG-based Heart Disease Classification
Mario Padilla Rodriguez
Mohamed Nafea
40
0
0
25 Mar 2025
Guidelines For The Choice Of The Baseline in XAI Attribution Methods
Guidelines For The Choice Of The Baseline in XAI Attribution Methods
Cristian Morasso
Giorgio Dolci
I. Galazzo
Sergey M. Plis
Gloria Menegaz
89
0
0
25 Mar 2025
FedMM-X: A Trustworthy and Interpretable Framework for Federated Multi-Modal Learning in Dynamic Environments
FedMM-X: A Trustworthy and Interpretable Framework for Federated Multi-Modal Learning in Dynamic Environments
Sree Bhargavi Balija
FedML
60
0
0
25 Mar 2025
Kernel Learning Assisted Synthesis Condition Exploration for Ternary Spinel
Kernel Learning Assisted Synthesis Condition Exploration for Ternary Spinel
Yutong Liu
Mehrad Ansari
Robert Black
Jason Hattrick-Simpers
47
0
0
25 Mar 2025
How to RETIRE Tabular Data in Favor of Discrete Digital Signal Representation
How to RETIRE Tabular Data in Favor of Discrete Digital Signal Representation
Paweł Zyblewski
Szymon Wojciechowski
LMTD
82
0
0
25 Mar 2025
No Black Box Anymore: Demystifying Clinical Predictive Modeling with Temporal-Feature Cross Attention Mechanism
No Black Box Anymore: Demystifying Clinical Predictive Modeling with Temporal-Feature Cross Attention Mechanism
Yubo Li
Xinyu Yao
R. Padman
FAtt
AI4TS
70
0
0
25 Mar 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
MoE
LRM
66
1
0
25 Mar 2025
Anomaly Detection Using Computer Vision: A Comparative Analysis of Class Distinction and Performance Metrics
Anomaly Detection Using Computer Vision: A Comparative Analysis of Class Distinction and Performance Metrics
Md. Barkat Ullah Tusher
Shartaz Khan Akash
Amirul Islam Showmik
46
0
0
24 Mar 2025
On the Origins of Sampling Bias: Implications on Fairness Measurement and Mitigation
On the Origins of Sampling Bias: Implications on Fairness Measurement and Mitigation
Sami Zhioua
Ruta Binkyt.e
Ayoub Ouni
Farah Barika Ktata
49
0
0
23 Mar 2025
Self-Explaining Neural Networks for Business Process Monitoring
Self-Explaining Neural Networks for Business Process Monitoring
Shahaf Bassan
Shlomit Gur
Sergey Zeltyn
Konstantinos Mavrogiorgos
Ron Eliav
Dimosthenis Kyriazis
75
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0
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IceBench: A Benchmark for Deep Learning based Sea Ice Type Classification
IceBench: A Benchmark for Deep Learning based Sea Ice Type Classification
Samira Alkaee Taleghan
A. Barrett
Walter N. Meier
F. Banaei-Kashani
VLM
59
0
0
22 Mar 2025
Unraveling Pedestrian Fatality Patterns: A Comparative Study with Explainable AI
Unraveling Pedestrian Fatality Patterns: A Comparative Study with Explainable AI
Methusela Sulle
Judith Mwakalonge
G. Comert
Saidi Siuhi
Nana Kankam Gyimah
85
0
0
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Deep Learning for Human Locomotion Analysis in Lower-Limb Exoskeletons: A Comparative Study
Deep Learning for Human Locomotion Analysis in Lower-Limb Exoskeletons: A Comparative Study
Omar Coser
Christian Tamantini
M. Tortora
Leonardo Furia
R. Sicilia
Loredana Zollo
Paolo Soda
38
1
0
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On Explaining (Large) Language Models For Code Using Global Code-Based Explanations
On Explaining (Large) Language Models For Code Using Global Code-Based Explanations
David Nader-Palacio
Dipin Khati
Daniel Rodríguez-Cárdenas
Alejandro Velasco
Denys Poshyvanyk
LRM
61
0
0
21 Mar 2025
Disentangled and Interpretable Multimodal Attention Fusion for Cancer Survival Prediction
Disentangled and Interpretable Multimodal Attention Fusion for Cancer Survival Prediction
Aniek Eijpe
Soufyan Lakbir
Melis Erdal Cesur
Sara P. Oliveira
Sanne Abeln
Wilson Silva
64
1
0
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Leveraging Large Language Models for Explainable Activity Recognition in Smart Homes: A Critical Evaluation
Leveraging Large Language Models for Explainable Activity Recognition in Smart Homes: A Critical Evaluation
Michele Fiori
Gabriele Civitarese
Priyankar Choudhary
Claudio Bettini
69
1
0
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Early Prediction of Alzheimer's and Related Dementias: A Machine Learning Approach Utilizing Social Determinants of Health Data
Early Prediction of Alzheimer's and Related Dementias: A Machine Learning Approach Utilizing Social Determinants of Health Data
Bereket Kindo
Arjee Restar
Anh Tran
41
0
0
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Representational Similarity via Interpretable Visual Concepts
Representational Similarity via Interpretable Visual Concepts
Neehar Kondapaneni
Oisin Mac Aodha
Pietro Perona
DRL
389
1
0
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Automated Processing of eXplainable Artificial Intelligence Outputs in Deep Learning Models for Fault Diagnostics of Large Infrastructures
Automated Processing of eXplainable Artificial Intelligence Outputs in Deep Learning Models for Fault Diagnostics of Large Infrastructures
Giovanni Floreale
Piero Baraldi
Enrico Zio
Olga Fink
58
0
0
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Pruning-Based TinyML Optimization of Machine Learning Models for Anomaly Detection in Electric Vehicle Charging Infrastructure
Pruning-Based TinyML Optimization of Machine Learning Models for Anomaly Detection in Electric Vehicle Charging Infrastructure
Fatemeh Dehrouyeh
I. Shaer
Soodeh Nikan
F. Badrkhani Ajaei
Abdallah Shami
80
0
0
19 Mar 2025
Behaviour Discovery and Attribution for Explainable Reinforcement Learning
Rishav Rishav
Somjit Nath
Vincent Michalski
Samira Ebrahimi Kahou
FAtt
OffRL
125
1
0
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Explainable AI Components for Narrative Map Extraction
Explainable AI Components for Narrative Map Extraction
Brian Keith
Fausto German
Eric Krokos
Sarah Joseph
Chris North
46
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ImputeGAP: A Comprehensive Library for Time Series Imputation
ImputeGAP: A Comprehensive Library for Time Series Imputation
Quentin Nater
Mourad Khayati
Jacques Pasquier
AI4TS
59
0
0
19 Mar 2025
Model Risk Management for Generative AI In Financial Institutions
Model Risk Management for Generative AI In Financial Institutions
Anwesha Bhattacharyya
Ye Yu
Hanyu Yang
Rahul Singh
Tarun Joshi
Jie Chen
Kiran Yalavarthy
AIFin
MedIm
65
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ExDDV: A New Dataset for Explainable Deepfake Detection in Video
ExDDV: A New Dataset for Explainable Deepfake Detection in Video
Vlad Hondru
Eduard Hogea
Darian M. Onchis
Radu Tudor Ionescu
109
2
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18 Mar 2025
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