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Explainable Deep Learning: A Field Guide for the Uninitiated
v1v2 (latest)

Explainable Deep Learning: A Field Guide for the Uninitiated

Journal of Artificial Intelligence Research (JAIR), 2020
30 April 2020
Gabrielle Ras
Ning Xie
Marcel van Gerven
Derek Doran
    AAMLXAI
ArXiv (abs)PDFHTML

Papers citing "Explainable Deep Learning: A Field Guide for the Uninitiated"

50 / 138 papers shown
A Framework for Generating Artificial Datasets to Validate Absolute and Relative Position Concepts
A Framework for Generating Artificial Datasets to Validate Absolute and Relative Position Concepts
George Correa de Araujo
H. Maia
Hélio Pedrini
184
0
0
17 Sep 2025
Neuromorphic Intelligence
Neuromorphic IntelligenceSynthesis Lectures on Engineering, Science, and Technology (SLEST), 2025
Marcel van Gerven
AI4CE
442
3
0
15 Sep 2025
DocVCE: Diffusion-based Visual Counterfactual Explanations for Document Image Classification
DocVCE: Diffusion-based Visual Counterfactual Explanations for Document Image Classification
S. Saifullah
S. Agne
Andreas Dengel
Sheraz Ahmed
DiffM
162
0
0
06 Aug 2025
Gradient Attention Map Based Verification of Deep Convolutional Neural Networks with Application to X-ray Image Datasets
Gradient Attention Map Based Verification of Deep Convolutional Neural Networks with Application to X-ray Image DatasetsIEEE VLSI Test Symposium (VTS), 2025
Omid Halimi Milani
Amanda Nikho
Lauren Mills
Marouane Tliba
Ahmet Enis Cetin
Mohammed H. Elnagar
MedIm
331
1
0
29 Apr 2025
Readable Twins of Unreadable Models
Readable Twins of Unreadable Models
Krzysztof Pancerz
Piotr Kulicki
Michał Kalisz
Andrzej Burda
Maciej Stanisławski
Jaromir Sarzyński
SyDa
306
0
0
17 Apr 2025
Reassessing Active Learning Adoption in Contemporary NLP: A Community Survey
Reassessing Active Learning Adoption in Contemporary NLP: A Community Survey
Julia Romberg
Christopher Schröder
Julius Gonsior
Katrin Tomanek
Fredrik Olsson
578
2
0
12 Mar 2025
The Road Less Traveled: Investigating Robustness and Explainability in CNN Malware Detection
The Road Less Traveled: Investigating Robustness and Explainability in CNN Malware Detection
Matteo Brosolo
Vinod Puthuvath
Mauro Conti
AAML
187
4
0
03 Mar 2025
Complex Networks for Pattern-Based Data Classification
Complex Networks for Pattern-Based Data Classification
Josimar Chire
Khalid Mahmood
Zhao Liang
279
0
0
25 Feb 2025
The Return of Pseudosciences in Artificial Intelligence: Have Machine
  Learning and Deep Learning Forgotten Lessons from Statistics and History?
The Return of Pseudosciences in Artificial Intelligence: Have Machine Learning and Deep Learning Forgotten Lessons from Statistics and History?
Jérémie Sublime
390
0
0
27 Nov 2024
Explainability in AI Based Applications: A Framework for Comparing
  Different Techniques
Explainability in AI Based Applications: A Framework for Comparing Different TechniquesConference on Business Informatics (CBI), 2024
Arne Grobrugge
Nidhi Mishra
Johannes Jakubik
G. Satzger
311
5
0
28 Oct 2024
Interpretable end-to-end Neurosymbolic Reinforcement Learning agents
Interpretable end-to-end Neurosymbolic Reinforcement Learning agents
Nils Grandien
Quentin Delfosse
Kristian Kersting
OffRL
498
6
0
18 Oct 2024
Gradient-free Post-hoc Explainability Using Distillation Aided Learnable
  Approach
Gradient-free Post-hoc Explainability Using Distillation Aided Learnable ApproachIEEE Journal on Selected Topics in Signal Processing (JSTSP), 2024
Debarpan Bhattacharya
A. H. Poorjam
Deepak Mittal
Sriram Ganapathy
279
0
0
17 Sep 2024
Computability of Classification and Deep Learning: From Theoretical
  Limits to Practical Feasibility through Quantization
Computability of Classification and Deep Learning: From Theoretical Limits to Practical Feasibility through QuantizationJournal of Fourier Analysis and Applications (JFAA), 2024
Holger Boche
Vít Fojtík
Adalbert Fono
Gitta Kutyniok
406
1
0
12 Aug 2024
ECG Unveiled: Analysis of Client Re-identification Risks in Real-World
  ECG Datasets
ECG Unveiled: Analysis of Client Re-identification Risks in Real-World ECG DatasetsInternational Conference on Wearable and Implantable Body Sensor Networks (BSN), 2024
Ziyu Wang
A. Kanduri
Seyed Amir Hossein Aqajari
Salar Jafarlou
Sanaz R. Mousavi
P. Liljeberg
Shaista Malik
Amir M. Rahmani
198
7
0
02 Aug 2024
Securing Tomorrow's Smart Cities: Investigating Software Security in
  Internet of Vehicles and Deep Learning Technologies
Securing Tomorrow's Smart Cities: Investigating Software Security in Internet of Vehicles and Deep Learning Technologies
Ridhi Jain
Norbert Tihanyi
M. Ferrag
354
4
0
23 Jul 2024
XAI-Guided Enhancement of Vegetation Indices for Crop Mapping
XAI-Guided Enhancement of Vegetation Indices for Crop Mapping
Hiba Najjar
Francisco Mena
Marlon Nuske
A. Dengel
357
4
0
11 Jul 2024
Explainable Image Recognition via Enhanced Slot-attention Based
  Classifier
Explainable Image Recognition via Enhanced Slot-attention Based Classifier
Bowen Wang
Liangzhi Li
Jiahao Zhang
Yuta Nakashima
Hajime Nagahara
OCL
431
2
0
08 Jul 2024
DocXplain: A Novel Model-Agnostic Explainability Method for Document
  Image Classification
DocXplain: A Novel Model-Agnostic Explainability Method for Document Image Classification
S. Saifullah
S. Agne
Andreas Dengel
Sheraz Ahmed
373
4
0
04 Jul 2024
HackAtari: Atari Learning Environments for Robust and Continual
  Reinforcement Learning
HackAtari: Atari Learning Environments for Robust and Continual Reinforcement Learning
Quentin Delfosse
Johannes Czech
Bjarne Gregori
Kristian Kersting
395
12
0
06 Jun 2024
Fairness-Optimized Synthetic EHR Generation for Arbitrary Downstream Predictive Tasks
Fairness-Optimized Synthetic EHR Generation for Arbitrary Downstream Predictive Tasks
Mirza Farhan Bin Tarek
Raphael Poulain
Rahmatollah Beheshti
SyDa
541
4
0
04 Jun 2024
Interpretable and Editable Programmatic Tree Policies for Reinforcement
  Learning
Interpretable and Editable Programmatic Tree Policies for Reinforcement Learning
Hector Kohler
Quentin Delfosse
R. Akrour
Kristian Kersting
Philippe Preux
416
18
0
23 May 2024
Efficient Deep Learning with Decorrelated Backpropagation
Efficient Deep Learning with Decorrelated Backpropagation
Sander Dalm
Joshua Offergeld
Nasir Ahmad
Marcel van Gerven
886
8
0
03 May 2024
Towards a Research Community in Interpretable Reinforcement Learning:
  the InterpPol Workshop
Towards a Research Community in Interpretable Reinforcement Learning: the InterpPol Workshop
Hector Kohler
Quentin Delfosse
Paul Festor
Philippe Preux
339
0
0
16 Apr 2024
Hindsight PRIORs for Reward Learning from Human Preferences
Hindsight PRIORs for Reward Learning from Human Preferences
Mudit Verma
Katherine Metcalf
304
12
0
12 Apr 2024
Leveraging Counterfactual Paths for Contrastive Explanations of POMDP
  Policies
Leveraging Counterfactual Paths for Contrastive Explanations of POMDP Policies
Benjamin Kraske
Zakariya Laouar
Zachary Sunberg
309
0
0
28 Mar 2024
Causal hybrid modeling with double machine learning
Causal hybrid modeling with double machine learning
Kai-Hendrik Cohrs
Gherardo Varando
Nuno Carvalhais
Markus Reichstein
Gustau Camps-Valls
489
20
0
20 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
455
0
0
29 Jan 2024
Mathematical Algorithm Design for Deep Learning under Societal and
  Judicial Constraints: The Algorithmic Transparency Requirement
Mathematical Algorithm Design for Deep Learning under Societal and Judicial Constraints: The Algorithmic Transparency Requirement
Holger Boche
Adalbert Fono
Gitta Kutyniok
FaML
406
7
0
18 Jan 2024
Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents
Interpretable Concept Bottlenecks to Align Reinforcement Learning AgentsNeural Information Processing Systems (NeurIPS), 2024
Quentin Delfosse
Sebastian Sztwiertnia
M. Rothermel
Wolfgang Stammer
Kristian Kersting
511
25
0
11 Jan 2024
α-HMM: A Graphical Model for RNA Folding
α-HMM: A Graphical Model for RNA Folding
Sixiang Zhang
Aaron J. Yang
Liming Cai
314
0
0
07 Jan 2024
On the Relationship Between Interpretability and Explainability in
  Machine Learning
On the Relationship Between Interpretability and Explainability in Machine Learning
Benjamin Leblanc
Pascal Germain
FaML
473
2
0
20 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
347
1
0
23 Oct 2023
From Neural Activations to Concepts: A Survey on Explaining Concepts in
  Neural Networks
From Neural Activations to Concepts: A Survey on Explaining Concepts in Neural Networks
Jae Hee Lee
Sergio Lanza
Stefan Wermter
308
19
0
18 Oct 2023
ProtoExplorer: Interpretable Forensic Analysis of Deepfake Videos using
  Prototype Exploration and Refinement
ProtoExplorer: Interpretable Forensic Analysis of Deepfake Videos using Prototype Exploration and RefinementInformation Visualization (InfoVis), 2023
M. D. L. D. Bouter
J. Pardo
Z. Geradts
M. Worring
375
19
0
20 Sep 2023
Learning by Self-Explaining
Learning by Self-Explaining
Wolfgang Stammer
Felix Friedrich
David Steinmann
Manuel Brack
Hikaru Shindo
Kristian Kersting
520
17
0
15 Sep 2023
ExD: Explainable Deletion
ExD: Explainable DeletionNew Security Paradigms Workshop (NSPW), 2023
K. Ramokapane
A. Rashid
286
2
0
25 Aug 2023
Can we Agree? On the Rashōmon Effect and the Reliability of Post-Hoc
  Explainable AI
Can we Agree? On the Rashōmon Effect and the Reliability of Post-Hoc Explainable AI
Clément Poiret
Antoine Grigis
Justin Thomas
M. Noulhiane
FAtt
330
2
0
14 Aug 2023
Explainable AI applications in the Medical Domain: a systematic review
Explainable AI applications in the Medical Domain: a systematic review
Nicoletta Prentzas
A. Kakas
Constantinos S. Pattichis
337
22
0
10 Aug 2023
Enhancing Human-like Multi-Modal Reasoning: A New Challenging Dataset
  and Comprehensive Framework
Enhancing Human-like Multi-Modal Reasoning: A New Challenging Dataset and Comprehensive Framework
Jingxuan Wei
Cheng Tan
Zhangyang Gao
Linzhuang Sun
Siyuan Li
Bihui Yu
R. Guo
Stan Z. Li
LRM
426
18
0
24 Jul 2023
SHAMSUL: Systematic Holistic Analysis to investigate Medical
  Significance Utilizing Local interpretability methods in deep learning for
  chest radiography pathology prediction
SHAMSUL: Systematic Holistic Analysis to investigate Medical Significance Utilizing Local interpretability methods in deep learning for chest radiography pathology predictionNordic Machine Intelligence (NMI), 2023
Mahbub Ul Alam
Jaakko Hollmén
Jón R. Baldvinsson
R. Rahmani
FAtt
500
3
0
16 Jul 2023
A Lightweight Generative Model for Interpretable Subject-level
  Prediction
A Lightweight Generative Model for Interpretable Subject-level Prediction
C. Mauri
Stefano Cerri
Oula Puonti
Mark Muhlau
Koen van Leemput
MedImAI4CE
372
0
0
19 Jun 2023
Learning Causal Mechanisms through Orthogonal Neural Networks
Learning Causal Mechanisms through Orthogonal Neural Networks
Peyman Sheikholharam Mashhadi
Sławomir Nowaczyk
CMLDRL
310
0
0
05 Jun 2023
Trustworthy Federated Learning: A Survey
Trustworthy Federated Learning: A Survey
A. Tariq
M. Serhani
F. Sallabi
Tariq Qayyum
E. Barka
K. Shuaib
FedML
326
19
0
19 May 2023
Decoding Emotional Trajectories: A Temporal-Semantic Network Approach for Latent Depression Assessment in Social Media
Decoding Emotional Trajectories: A Temporal-Semantic Network Approach for Latent Depression Assessment in Social MediaHawaii International Conference on System Sciences (HICSS), 2023
Junwei Kuang
Jiaheng Xie
Zhijun Yan
334
3
0
18 May 2023
Nine tips for ecologists using machine learning
Nine tips for ecologists using machine learning
Marine Desprez
Vincent Miele
O. Gimenez
424
4
0
17 May 2023
EXPRESSNET: An Explainable Residual Slim Network for Fingerprint
  Presentation Attack Detection
EXPRESSNET: An Explainable Residual Slim Network for Fingerprint Presentation Attack Detection
Anuj Rai
S. Dey
290
1
0
16 May 2023
Artificial intelligence to advance Earth observation: a perspective
Artificial intelligence to advance Earth observation: a perspectiveIEEE Geoscience and Remote Sensing Magazine (GRSM), 2023
D. Tuia
Konrad Schindler
Begüm Demir
Gustau Camps-Valls
Xiao Xiang Zhu
...
Mihai Datcu
Jorge-Arnulfo Quiané-Ruiz
Volker Markl
Bertrand Le Saux
Rochelle Schneider
363
33
0
15 May 2023
Hardware Acceleration of Explainable Artificial Intelligence
Hardware Acceleration of Explainable Artificial Intelligence
Zhixin Pan
Prabhat Mishra
331
2
0
04 May 2023
How Secure is Code Generated by ChatGPT?
How Secure is Code Generated by ChatGPT?IEEE International Conference on Systems, Man and Cybernetics (SMC), 2023
R. Khoury
Anderson R. Avila
Jacob Brunelle
Baba Mamadou Camara
SILM
461
154
0
19 Apr 2023
Finding Minimum-Cost Explanations for Predictions made by Tree Ensembles
Finding Minimum-Cost Explanations for Predictions made by Tree Ensembles
John Törnblom
Emil Karlsson
Simin Nadjm-Tehrani
FAtt
377
2
0
16 Mar 2023
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