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A Survey Of Methods For Explaining Black Box Models
v1v2v3 (latest)

A Survey Of Methods For Explaining Black Box Models

6 February 2018
Riccardo Guidotti
A. Monreale
Salvatore Ruggieri
Franco Turini
D. Pedreschi
F. Giannotti
    XAI
ArXiv (abs)PDFHTML

Papers citing "A Survey Of Methods For Explaining Black Box Models"

50 / 1,104 papers shown
Title
Transparency Techniques for Neural Networks trained on Writer Identification and Writer Verification
Transparency Techniques for Neural Networks trained on Writer Identification and Writer Verification
Viktoria Pundy
Marco Peer
Florian Kleber
12
0
0
19 Jun 2025
Diffusion-based Counterfactual Augmentation: Towards Robust and Interpretable Knee Osteoarthritis Grading
Diffusion-based Counterfactual Augmentation: Towards Robust and Interpretable Knee Osteoarthritis Grading
Zhe Wang
Yuhua Ru
Aladine Chetouani
Tina Shiang
Fang Chen
...
Didier Hans
Rachid Jennane
William Ewing Palmer
Mohamed Jarraya
Yung Hsin Chen
MedIm
19
0
0
18 Jun 2025
Evaluating Explainability: A Framework for Systematic Assessment and Reporting of Explainable AI Features
Evaluating Explainability: A Framework for Systematic Assessment and Reporting of Explainable AI Features
Miguel Lago
Ghada Zamzmi
Brandon Eich
Jana G. Delfino
XAIELM
15
0
0
16 Jun 2025
Towards Explaining Monte-Carlo Tree Search by Using Its Enhancements
Towards Explaining Monte-Carlo Tree Search by Using Its Enhancements
Jakub Kowalski
M. Winands
Maksymilian Wiśniewski
Stanisław Reda
Anna Wilbik
12
0
0
16 Jun 2025
Because we have LLMs, we Can and Should Pursue Agentic Interpretability
Because we have LLMs, we Can and Should Pursue Agentic Interpretability
Been Kim
John Hewitt
Neel Nanda
Noah Fiedel
Oyvind Tafjord
12
0
0
13 Jun 2025
Bias Attribution in Filipino Language Models: Extending a Bias Interpretability Metric for Application on Agglutinative Languages
Bias Attribution in Filipino Language Models: Extending a Bias Interpretability Metric for Application on Agglutinative Languages
Lance Calvin Lim Gamboa
Yue Feng
Mark Lee
15
0
0
08 Jun 2025
Explaining Concept Shift with Interpretable Feature Attribution
Explaining Concept Shift with Interpretable Feature Attribution
Ruiqi Lyu
Alistair Turcan
Bryan Wilder
FAtt
56
0
0
27 May 2025
Explainability of Large Language Models using SMILE: Statistical Model-agnostic Interpretability with Local Explanations
Explainability of Large Language Models using SMILE: Statistical Model-agnostic Interpretability with Local Explanations
Zeinab Dehghani
Koorosh Aslansefat
Adil Khan
Mohammed Naveed Akram
MILMLRM
132
0
0
27 May 2025
Explanation User Interfaces: A Systematic Literature Review
Explanation User Interfaces: A Systematic Literature Review
Eleonora Cappuccio
Andrea Esposito
Francesco Greco
Giuseppe Desolda
Rosa Lanzilotti
Salvatore Rinzivillo
123
0
0
26 May 2025
Graph Style Transfer for Counterfactual Explainability
Bardh Prenkaj
Efstratios Zaradoukas
Gjergji Kasneci
AAML
89
0
0
23 May 2025
Interpretable Traces, Unexpected Outcomes: Investigating the Disconnect in Trace-Based Knowledge Distillation
Interpretable Traces, Unexpected Outcomes: Investigating the Disconnect in Trace-Based Knowledge Distillation
Siddhant Bhambri
Upasana Biswas
Subbarao Kambhampati
137
1
0
20 May 2025
Fixed Point Explainability
Fixed Point Explainability
Emanuele La Malfa
Jon Vadillo
Marco Molinari
Michael Wooldridge
151
0
0
18 May 2025
Beyond the Black Box: Interpretability of LLMs in Finance
Beyond the Black Box: Interpretability of LLMs in Finance
Hariom Tatsat
Ariye Shater
AIFin
60
0
0
14 May 2025
On the interplay of Explainability, Privacy and Predictive Performance with Explanation-assisted Model Extraction
On the interplay of Explainability, Privacy and Predictive Performance with Explanation-assisted Model Extraction
Fatima Ezzeddine
Rinad Akel
Ihab Sbeity
Silvia Giordano
Marc Langheinrich
Omran Ayoub
SILM
48
0
0
13 May 2025
Interpretable Event Diagnosis in Water Distribution Networks
Interpretable Event Diagnosis in Water Distribution Networks
André Artelt
Stelios G. Vrachimis
Demetrios G. Eliades
Ulrike Kuhl
Barbara Hammer
Marios M. Polycarpou
126
0
0
12 May 2025
AI in Money Matters
AI in Money Matters
Nadine Sandjo Tchatchoua
Richard Harper
51
0
0
12 May 2025
Human in the Latent Loop (HILL): Interactively Guiding Model Training Through Human Intuition
Human in the Latent Loop (HILL): Interactively Guiding Model Training Through Human Intuition
Daniel Geissler
Lars Krupp
Vishal Banwari
David Habusch
Bo Zhou
Paul Lukowicz
Jakob Karolus
98
0
0
09 May 2025
What Do People Want to Know About Artificial Intelligence (AI)? The Importance of Answering End-User Questions to Explain Autonomous Vehicle (AV) Decisions
What Do People Want to Know About Artificial Intelligence (AI)? The Importance of Answering End-User Questions to Explain Autonomous Vehicle (AV) Decisions
Somayeh Molaei
Lionel P. Robert
Nikola Banovic
54
0
0
09 May 2025
Robustness questions the interpretability of graph neural networks: what to do?
Robustness questions the interpretability of graph neural networks: what to do?
Kirill Lukyanov
Georgii Sazonov
Serafim Boyarsky
Ilya Makarov
AAML
461
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0
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Conformal Prediction for Indoor Positioning with Correctness Coverage Guarantees
Conformal Prediction for Indoor Positioning with Correctness Coverage Guarantees
Zhiyi Zhou
Hexin Peng
Hongyu Long
87
0
0
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Explanations as Bias Detectors: A Critical Study of Local Post-hoc XAI Methods for Fairness Exploration
Explanations as Bias Detectors: A Critical Study of Local Post-hoc XAI Methods for Fairness Exploration
Vasiliki Papanikou
Danae Pla Karidi
E. Pitoura
Emmanouil Panagiotou
Eirini Ntoutsi
156
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0
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In defence of post-hoc explanations in medical AI
In defence of post-hoc explanations in medical AI
Joshua Hatherley
Lauritz Munch
Jens Christian Bjerring
90
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0
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Mitigating Societal Cognitive Overload in the Age of AI: Challenges and Directions
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Salem Lahlou
119
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0
28 Apr 2025
Selecting the Right LLM for eGov Explanations
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Lior Limonad
Fabiana Fournier
Hadar Mulian
George Manias
Spiros Borotis
Danai Kyrkou
92
0
0
27 Apr 2025
Advancing CMA-ES with Learning-Based Cooperative Coevolution for Scalable Optimization
Advancing CMA-ES with Learning-Based Cooperative Coevolution for Scalable Optimization
Hongshu Guo
Wenjie Qiu
Zeyuan Ma
Wei Wei
Jun Zhang
Jiawei Liu
100
2
0
24 Apr 2025
AI, Help Me Think$\unicode{x2014}$but for Myself: Assisting People in Complex Decision-Making by Providing Different Kinds of Cognitive Support
AI, Help Me Think\unicodex2014\unicode{x2014}\unicodex2014but for Myself: Assisting People in Complex Decision-Making by Providing Different Kinds of Cognitive Support
Leon Reicherts
Z. Zhang
Elisabeth von Oswald
Yuanting Liu
Yvonne Rogers
Mariam Hassib
61
1
0
09 Apr 2025
AsyReC: A Multimodal Graph-based Framework for Spatio-Temporal Asymmetric Dyadic Relationship Classification
AsyReC: A Multimodal Graph-based Framework for Spatio-Temporal Asymmetric Dyadic Relationship Classification
Wang Tang
Fethiye Irmak Dogan
Linbo Qing
Hatice Gunes
67
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0
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A moving target in AI-assisted decision-making: Dataset shift, model updating, and the problem of update opacity
A moving target in AI-assisted decision-making: Dataset shift, model updating, and the problem of update opacity
Joshua Hatherley
AAML
80
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0
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Explanation-Driven Interventions for Artificial Intelligence Model Customization: Empowering End-Users to Tailor Black-Box AI in Rhinocytology
Explanation-Driven Interventions for Artificial Intelligence Model Customization: Empowering End-Users to Tailor Black-Box AI in Rhinocytology
Andrea Esposito
Miriana Calvano
Antonio Curci
Francesco Greco
Rosa Lanzilotti
Antonio Piccinno
67
0
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An Explainable Neural Radiomic Sequence Model with Spatiotemporal Continuity for Quantifying 4DCT-based Pulmonary Ventilation
An Explainable Neural Radiomic Sequence Model with Spatiotemporal Continuity for Quantifying 4DCT-based Pulmonary Ventilation
Rihui Zhang
Haiming Zhu
Jingtong Zhao
Lei Zhang
F. Yin
Chunhao Wang
Zhenyu Yang
66
0
0
31 Mar 2025
Interpretable Machine Learning in Physics: A Review
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Sebastian Johann Wetzel
Seungwoong Ha
Raban Iten
Miriam Klopotek
Ziming Liu
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160
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Interpretable Machine Learning for Oral Lesion Diagnosis through Prototypical Instances Identification
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Mattia Setzu
Federico A. Galatolo
M. G. Cimino
Riccardo Guidotti
66
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Deep Learning for Human Locomotion Analysis in Lower-Limb Exoskeletons: A Comparative Study
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Axiomatic Explainer Globalness via Optimal Transport
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Explainable AI in Time-Sensitive Scenarios: Prefetched Offline Explanation Model
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128
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Terence Broad
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Asja Fischer
Muhammad Bilal Zafar
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SALTY: Explainable Artificial Intelligence Guided Structural Analysis for Hardware Trojan Detection
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Pravin Gaikwad
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Swarup Bhunia
Prabuddha Chakraborty
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Kaize Ding
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ExplainReduce: Summarising local explanations via proxies
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Mudong Guo
Kai Puolamäki
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Lev V. Utkin
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Natalya M. Verbova
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Fairness and Sparsity within Rashomon sets: Enumeration-Free Exploration and Characterization
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Julien Ferry
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Andrea Omicini
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