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1910.10045
Cited By
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI
22 October 2019
Alejandro Barredo Arrieta
Natalia Díaz Rodríguez
Javier Del Ser
Adrien Bennetot
S. Tabik
A. Barbado
S. García
S. Gil-Lopez
Daniel Molina
Richard Benjamins
Raja Chatila
Francisco Herrera
XAI
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Papers citing
"Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI"
50 / 430 papers shown
Title
Explainable Knowledge Distillation for On-device Chest X-Ray Classification
C. Termritthikun
Ayaz Umer
Suwichaya Suwanwimolkul
Feng Xia
Ivan Lee
16
13
0
10 May 2023
Explaining the ghosts: Feminist intersectional XAI and cartography as methods to account for invisible labour
Goda Klumbytė
Hannah Piehl
Claude Draude
13
1
0
05 May 2023
Asymmetric quantum decision-making
Honoka Shiratori
Hiroaki Shinkawa
André Röhm
N. Chauvet
E. Segawa
Jonathan Laurent
G. Bachelier
T. Yamagami
R. Horisaki
Makoto Naruse
9
1
0
03 May 2023
A Closer Look at Reward Decomposition for High-Level Robotic Explanations
Wenhao Lu
Xufeng Zhao
S. Magg
M. Gromniak
Mengdi Li
S. Wermter
30
7
0
25 Apr 2023
Towards a Praxis for Intercultural Ethics in Explainable AI
Chinasa T. Okolo
31
3
0
24 Apr 2023
Explainability in AI Policies: A Critical Review of Communications, Reports, Regulations, and Standards in the EU, US, and UK
L. Nannini
Agathe Balayn
A. Smith
11
37
0
20 Apr 2023
Impact Of Explainable AI On Cognitive Load: Insights From An Empirical Study
L. Herm
13
22
0
18 Apr 2023
TreeC: a method to generate interpretable energy management systems using a metaheuristic algorithm
Julian Ruddick
L. R. Camargo
M. A. Putratama
M. Messagie
Thierry Coosemans
8
2
0
17 Apr 2023
Implementing Responsible AI: Tensions and Trade-Offs Between Ethics Aspects
Conrad Sanderson
David M. Douglas
Qinghua Lu
35
11
0
17 Apr 2023
Textual Explanations for Automated Commentary Driving
Marc Alexander Kühn
Daniel Omeiza
Lars Kunze
22
6
0
12 Apr 2023
Communicating Uncertainty in Machine Learning Explanations: A Visualization Analytics Approach for Predictive Process Monitoring
Nijat Mehdiyev
Maxim Majlatow
Peter Fettke
25
2
0
12 Apr 2023
Preemptively Pruning Clever-Hans Strategies in Deep Neural Networks
Lorenz Linhardt
Klaus-Robert Muller
G. Montavon
AAML
21
7
0
12 Apr 2023
A Review on Explainable Artificial Intelligence for Healthcare: Why, How, and When?
M. Rubaiyat
Hossain Mondal
Prajoy Podder
13
56
0
10 Apr 2023
Tracing and Visualizing Human-ML/AI Collaborative Processes through Artifacts of Data Work
Jennifer Rogers
Anamaria Crisan
16
7
0
05 Apr 2023
From Private to Public: Benchmarking GANs in the Context of Private Time Series Classification
Dominique Mercier
Andreas Dengel
Sheraz Ahmed
AI4TS
10
0
0
28 Mar 2023
Improving Prediction Performance and Model Interpretability through Attention Mechanisms from Basic and Applied Research Perspectives
Shunsuke Kitada
FaML
HAI
AI4CE
25
0
0
24 Mar 2023
Neuro-Symbolic Execution of Generic Source Code
Yaojie Hu
Jin Tian
NAI
22
0
0
23 Mar 2023
A System's Approach Taxonomy for User-Centred XAI: A Survey
Ehsan Emamirad
Pouya Ghiasnezhad Omran
A. Haller
S. Gregor
21
1
0
06 Mar 2023
Multiobjective Evolutionary Pruning of Deep Neural Networks with Transfer Learning for improving their Performance and Robustness
Javier Poyatos
Daniel Molina
Aitor Martínez
Javier Del Ser
Francisco Herrera
30
10
0
20 Feb 2023
FederatedTrust: A Solution for Trustworthy Federated Learning
Pedro Miguel Sánchez Sánchez
Alberto Huertas Celdrán
Ning Xie
Gérome Bovet
Gregorio Martínez Pérez
Burkhard Stiller
28
21
0
20 Feb 2023
Less is More: The Influence of Pruning on the Explainability of CNNs
David Weber
F. Merkle
Pascal Schöttle
Stephan Schlögl
Martin Nocker
FAtt
29
1
0
17 Feb 2023
A novel approach to generate datasets with XAI ground truth to evaluate image models
Miquel Miró-Nicolau
Antoni Jaume-i-Capó
Gabriel Moyà Alcover
14
4
0
11 Feb 2023
A Survey on Event Prediction Methods from a Systems Perspective: Bringing Together Disparate Research Areas
Janik-Vasily Benzin
S. Rinderle-Ma
AI4TS
38
2
0
08 Feb 2023
Understanding User Preferences in Explainable Artificial Intelligence: A Survey and a Mapping Function Proposal
M. Hashemi
Ali Darejeh
Francisco Cruz
37
3
0
07 Feb 2023
AUTOLYCUS: Exploiting Explainable AI (XAI) for Model Extraction Attacks against Interpretable Models
Abdullah Çaglar Öksüz
Anisa Halimi
Erman Ayday
ELM
AAML
21
2
0
04 Feb 2023
Explainable Human-Robot Training and Cooperation with Augmented Reality
Chaocui Wang
Anna Belardinelli
Stephan Hasler
Theodoros Stouraitis
Daniel Tanneberg
Michael Gienger
6
24
0
02 Feb 2023
Which Experiences Are Influential for Your Agent? Policy Iteration with Turn-over Dropout
Takuya Hiraoka
Takashi Onishi
Yoshimasa Tsuruoka
OffRL
19
0
0
26 Jan 2023
HEAR4Health: A blueprint for making computer audition a staple of modern healthcare
Andreas Triantafyllopoulos
Alexander Kathan
Alice Baird
Lukas Christ
Alexander Gebhard
...
Shahin Amiriparian
K. D. Bartl-Pokorny
A. Batliner
Florian B. Pokorny
Björn W. Schuller
39
7
0
25 Jan 2023
Feature construction using explanations of individual predictions
Boštjan Vouk
Matej Guid
Marko Robnik-Šikonja
FAtt
19
10
0
23 Jan 2023
TAME: Attention Mechanism Based Feature Fusion for Generating Explanation Maps of Convolutional Neural Networks
Mariano V. Ntrougkas
Nikolaos Gkalelis
Vasileios Mezaris
FAtt
11
8
0
18 Jan 2023
Understanding the Role of Human Intuition on Reliance in Human-AI Decision-Making with Explanations
Valerie Chen
Q. V. Liao
Jennifer Wortman Vaughan
Gagan Bansal
36
103
0
18 Jan 2023
Knowledge is Power, Understanding is Impact: Utility and Beyond Goals, Explanation Quality, and Fairness in Path Reasoning Recommendation
Giacomo Balloccu
Ludovico Boratto
Christian Cancedda
Gianni Fenu
Mirko Marras
20
8
0
14 Jan 2023
Modulation spectral features for speech emotion recognition using deep neural networks
Premjeet Singh
Md. Sahidullah
G. Saha
27
44
0
14 Jan 2023
A Rigorous Uncertainty-Aware Quantification Framework Is Essential for Reproducible and Replicable Machine Learning Workflows
Line C. Pouchard
Kristofer G. Reyes
Francis J. Alexander
Byung-Jun Yoon
27
2
0
13 Jan 2023
Estimate Deformation Capacity of Non-Ductile RC Shear Walls using Explainable Boosting Machine
Z. Deger
Gülsen Taskin Kaya
J. Wallace
8
3
0
11 Jan 2023
Explainable, Physics Aware, Trustworthy AI Paradigm Shift for Synthetic Aperture Radar
Mihai Datcu
Zhongling Huang
Andrei Anghel
Juanping Zhao
R. Cacoveanu
24
0
0
09 Jan 2023
On the coalitional decomposition of parameters of interest
Marouane Il Idrissi
Nicolas Bousquet
Fabrice Gamboa
Bertrand Iooss
Jean-Michel Loubes
9
8
0
06 Jan 2023
On the Forces of Driver Distraction: Explainable Predictions for the Visual Demand of In-Vehicle Touchscreen Interactions
Patrick Ebel
Christoph Lingenfelder
Andreas Vogelsang
FAtt
AAML
26
20
0
05 Jan 2023
Instance-based Explanations for Gradient Boosting Machine Predictions with AXIL Weights
P. Geertsema
Helen Lu
FAtt
11
2
0
05 Jan 2023
Mapping Knowledge Representations to Concepts: A Review and New Perspectives
Lars Holmberg
P. Davidsson
Per Linde
26
1
0
31 Dec 2022
Disentangled Explanations of Neural Network Predictions by Finding Relevant Subspaces
Pattarawat Chormai
J. Herrmann
Klaus-Robert Muller
G. Montavon
FAtt
43
17
0
30 Dec 2022
Context-dependent Explainability and Contestability for Trustworthy Medical Artificial Intelligence: Misclassification Identification of Morbidity Recognition Models in Preterm Infants
Isil Guzey
Ozlem Ucar
N. A. Çiftdemir
B. Acunaş
21
1
0
17 Dec 2022
Shapley variable importance cloud for machine learning models
Yilin Ning
Mingxuan Liu
Nan Liu
FAtt
TDI
30
1
0
16 Dec 2022
The Role of AI in Drug Discovery: Challenges, Opportunities, and Strategies
Alexandre Blanco-Gonzalez
Alfonso Cabezon
Alejandro Seco-Gonzalez
Daniel Conde-Torres
Paula Antelo-Riveiro
Ángel Piñeiro
R. García‐Fandiño
14
254
0
08 Dec 2022
Towards a more efficient computation of individual attribute and policy contribution for post-hoc explanation of cooperative multi-agent systems using Myerson values
Giorgio Angelotti
Natalia Díaz Rodríguez
15
7
0
06 Dec 2022
Quantification of geogrid lateral restraint using transparent sand and deep learning-based image segmentation
D. Marx
Krishna Kumar
J. Zornberg
11
1
0
06 Dec 2022
A Survey on Medical Document Summarization
Raghav Jain
Anubhav Jangra
S. Saha
Adam Jatowt
3DGS
MedIm
34
19
0
03 Dec 2022
The Grind for Good Data: Understanding ML Practitioners' Struggles and Aspirations in Making Good Data
Inha Cha
Juhyun Oh
Cheul Young Park
Jiyoon Han
Hwalsuk Lee
21
2
0
28 Nov 2022
Deep Learning Training Procedure Augmentations
Cristian Simionescu
9
1
0
25 Nov 2022
Towards Human-Interpretable Prototypes for Visual Assessment of Image Classification Models
Poulami Sinhamahapatra
Lena Heidemann
Maureen Monnet
Karsten Roscher
27
5
0
22 Nov 2022
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