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Explainable Artificial Intelligence (XAI): Concepts, Taxonomies,
  Opportunities and Challenges toward Responsible AI

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
ArXivPDFHTML

Papers citing "Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI"

28 / 428 papers shown
Title
When stakes are high: balancing accuracy and transparency with
  Model-Agnostic Interpretable Data-driven suRRogates
When stakes are high: balancing accuracy and transparency with Model-Agnostic Interpretable Data-driven suRRogates
Roel Henckaerts
Katrien Antonio
Marie-Pier Côté
13
3
0
14 Jul 2020
Counterfactual explanation of machine learning survival models
Counterfactual explanation of machine learning survival models
M. Kovalev
Lev V. Utkin
CML
OffRL
16
19
0
26 Jun 2020
Embedded Encoder-Decoder in Convolutional Networks Towards Explainable
  AI
Embedded Encoder-Decoder in Convolutional Networks Towards Explainable AI
A. Tavanaei
XAI
12
31
0
19 Jun 2020
Generating Reliable and Efficient Predictions of Human Motion: A
  Promising Encounter between Physics and Neural Networks
Generating Reliable and Efficient Predictions of Human Motion: A Promising Encounter between Physics and Neural Networks
Alessandro Antonucci
G. P. R. Papini
Luigi Palopoli
Daniele Fontanelli
3DH
19
17
0
15 Jun 2020
Higher-Order Explanations of Graph Neural Networks via Relevant Walks
Higher-Order Explanations of Graph Neural Networks via Relevant Walks
Thomas Schnake
Oliver Eberle
Jonas Lederer
Shinichi Nakajima
Kristof T. Schütt
Klaus-Robert Muller
G. Montavon
21
215
0
05 Jun 2020
Explainable deep learning models in medical image analysis
Explainable deep learning models in medical image analysis
Amitojdeep Singh
S. Sengupta
Vasudevan Lakshminarayanan
XAI
13
482
0
28 May 2020
Local and Global Explanations of Agent Behavior: Integrating Strategy
  Summaries with Saliency Maps
Local and Global Explanations of Agent Behavior: Integrating Strategy Summaries with Saliency Maps
Tobias Huber
Katharina Weitz
Elisabeth André
Ofra Amir
FAtt
13
63
0
18 May 2020
Evolved Explainable Classifications for Lymph Node Metastases
Evolved Explainable Classifications for Lymph Node Metastases
Iam Palatnik de Sousa
M. Vellasco
E. C. Silva
9
6
0
14 May 2020
The Grammar of Interactive Explanatory Model Analysis
The Grammar of Interactive Explanatory Model Analysis
Hubert Baniecki
Dariusz Parzych
P. Biecek
16
44
0
01 May 2020
Explainable Deep Learning: A Field Guide for the Uninitiated
Explainable Deep Learning: A Field Guide for the Uninitiated
Gabrielle Ras
Ning Xie
Marcel van Gerven
Derek Doran
AAML
XAI
29
371
0
30 Apr 2020
Pre-trained Models for Natural Language Processing: A Survey
Pre-trained Models for Natural Language Processing: A Survey
Xipeng Qiu
Tianxiang Sun
Yige Xu
Yunfan Shao
Ning Dai
Xuanjing Huang
LM&MA
VLM
243
1,450
0
18 Mar 2020
Explaining Deep Neural Networks and Beyond: A Review of Methods and
  Applications
Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications
Wojciech Samek
G. Montavon
Sebastian Lapuschkin
Christopher J. Anders
K. Müller
XAI
36
82
0
17 Mar 2020
Ground Truth Evaluation of Neural Network Explanations with CLEVR-XAI
Ground Truth Evaluation of Neural Network Explanations with CLEVR-XAI
L. Arras
Ahmed Osman
Wojciech Samek
XAI
AAML
21
149
0
16 Mar 2020
Explainable Agents Through Social Cues: A Review
Explainable Agents Through Social Cues: A Review
Sebastian Wallkötter
Silvia Tulli
Ginevra Castellano
Ana Paiva
Mohamed Chetouani
12
13
0
11 Mar 2020
Information cartography in association rule mining
Information cartography in association rule mining
Iztok Fister
Iztok Fister
22
11
0
29 Feb 2020
AI safety: state of the field through quantitative lens
AI safety: state of the field through quantitative lens
Mislav Juric
A. Sandic
Mario Brčič
13
24
0
12 Feb 2020
From Data to Actions in Intelligent Transportation Systems: a
  Prescription of Functional Requirements for Model Actionability
From Data to Actions in Intelligent Transportation Systems: a Prescription of Functional Requirements for Model Actionability
I. Laña
J. S. Medina
E. Vlahogianni
Javier Del Ser
22
51
0
06 Feb 2020
LUNAR: Cellular Automata for Drifting Data Streams
LUNAR: Cellular Automata for Drifting Data Streams
J. Lobo
Javier Del Ser
Francisco Herrera
AI4TS
9
4
0
06 Feb 2020
On Interpretability of Artificial Neural Networks: A Survey
On Interpretability of Artificial Neural Networks: A Survey
Fenglei Fan
Jinjun Xiong
Mengzhou Li
Ge Wang
AAML
AI4CE
30
300
0
08 Jan 2020
Questioning the AI: Informing Design Practices for Explainable AI User
  Experiences
Questioning the AI: Informing Design Practices for Explainable AI User Experiences
Q. V. Liao
D. Gruen
Sarah Miller
35
701
0
08 Jan 2020
Explainable Artificial Intelligence (XAI) for 6G: Improving Trust
  between Human and Machine
Explainable Artificial Intelligence (XAI) for 6G: Improving Trust between Human and Machine
Weisi Guo
11
40
0
11 Nov 2019
Language Models as Knowledge Bases?
Language Models as Knowledge Bases?
Fabio Petroni
Tim Rocktaschel
Patrick Lewis
A. Bakhtin
Yuxiang Wu
Alexander H. Miller
Sebastian Riedel
KELM
AI4MH
408
2,584
0
03 Sep 2019
On a Sparse Shortcut Topology of Artificial Neural Networks
On a Sparse Shortcut Topology of Artificial Neural Networks
Fenglei Fan
Dayang Wang
Hengtao Guo
Qikui Zhu
Pingkun Yan
Ge Wang
Hengyong Yu
30
21
0
22 Nov 2018
Methods for Interpreting and Understanding Deep Neural Networks
Methods for Interpreting and Understanding Deep Neural Networks
G. Montavon
Wojciech Samek
K. Müller
FaML
234
2,235
0
24 Jun 2017
Logic Tensor Networks for Semantic Image Interpretation
Logic Tensor Networks for Semantic Image Interpretation
Ivan Donadello
Luciano Serafini
Artur Garcez
54
209
0
24 May 2017
Fair prediction with disparate impact: A study of bias in recidivism
  prediction instruments
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments
Alexandra Chouldechova
FaML
201
2,082
0
24 Oct 2016
Multimodal Compact Bilinear Pooling for Visual Question Answering and
  Visual Grounding
Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding
Akira Fukui
Dong Huk Park
Daylen Yang
Anna Rohrbach
Trevor Darrell
Marcus Rohrbach
149
1,465
0
06 Jun 2016
The Application of Two-level Attention Models in Deep Convolutional
  Neural Network for Fine-grained Image Classification
The Application of Two-level Attention Models in Deep Convolutional Neural Network for Fine-grained Image Classification
Tianjun Xiao
Yichong Xu
Kuiyuan Yang
Jiaxing Zhang
Yuxin Peng
Zheng-Wei Zhang
156
789
0
24 Nov 2014
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