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Techniques for Interpretable Machine Learning
31 July 2018
Mengnan Du
Ninghao Liu
Helen Zhou
FaML
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Papers citing
"Techniques for Interpretable Machine Learning"
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158
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Scalable Interpretability via Polynomials
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Filip Radenovic
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Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations
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Jaehun Jung
Lianhui Qin
Sean Welleck
Faeze Brahman
Chandra Bhagavatula
Ronan Le Bras
Yejin Choi
ReLM
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469
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24 May 2022
FIND:Explainable Framework for Meta-learning
Xinyue Shao
Hongzhi Wang
Xiao-Wen Zhu
Feng Xiong
FedML
132
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20 May 2022
Efficient Learning of Interpretable Classification Rules
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Bishwamittra Ghosh
Dmitry Malioutov
Kuldeep S. Meel
203
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14 May 2022
The Road to Explainability is Paved with Bias: Measuring the Fairness of Explanations
Conference on Fairness, Accountability and Transparency (FAccT), 2022
Aparna Balagopalan
Haoran Zhang
Kimia Hamidieh
Thomas Hartvigsen
Frank Rudzicz
Marzyeh Ghassemi
291
91
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06 May 2022
Standardized Evaluation of Machine Learning Methods for Evolving Data Streams
Johannes Haug
Effi Tramountani
Gjergji Kasneci
111
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28 Apr 2022
GAM(e) changer or not? An evaluation of interpretable machine learning models based on additive model constraints
European Conference on Information Systems (ECIS), 2022
Patrick Zschech
Sven Weinzierl
Nico Hambauer
Sandra Zilker
Mathias Kraus
232
16
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19 Apr 2022
Automated Learning of Interpretable Models with Quantified Uncertainty
Computer Methods in Applied Mechanics and Engineering (CMAME), 2022
Geoffrey F. Bomarito
Patrick E. Leser
N. Strauss
K. Garbrecht
J. D. Hochhalter
120
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12 Apr 2022
Robust and Explainable Autoencoders for Unsupervised Time Series Outlier Detection---Extended Version
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Tung Kieu
B. Yang
Chenjuan Guo
Christian S. Jensen
Yan Zhao
Feiteng Huang
Kai Zheng
AI4TS
178
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07 Apr 2022
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Jaan Aru
Aqeel Labash
Oriol Corcoll
Raul Vicente
302
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30 Mar 2022
Dynamic Model Tree for Interpretable Data Stream Learning
IEEE International Conference on Data Engineering (ICDE), 2022
Johannes Haug
Klaus Broelemann
Gjergji Kasneci
191
8
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30 Mar 2022
A Survey on Aspect-Based Sentiment Classification
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Gianni Brauwers
Flavius Frasincar
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196
140
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27 Mar 2022
Policy Regularization for Legible Behavior
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Thomas Hellström
180
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Trustworthy Anomaly Detection: A Survey
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Xintao Wu
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357
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A Lightweight, Efficient and Explainable-by-Design Convolutional Neural Network for Internet Traffic Classification
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Kevin Fauvel
Fuxing Chen
Dario Rossi
338
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11 Feb 2022
Explainable Predictive Modeling for Limited Spectral Data
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Frantishek Akulich
Hadis Anahideh
Manaf Sheyyab
Dhananjay Ambre
105
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09 Feb 2022
Interpretable and Generalizable Graph Learning via Stochastic Attention Mechanism
International Conference on Machine Learning (ICML), 2022
Siqi Miao
Miaoyuan Liu
Pan Li
360
265
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31 Jan 2022
Debiased-CAM to mitigate systematic error with faithful visual explanations of machine learning
Wencan Zhang
Mariella Dimiccoli
Brian Y. Lim
FAtt
212
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30 Jan 2022
LAP: An Attention-Based Module for Concept Based Self-Interpretation and Knowledge Injection in Convolutional Neural Networks
Rassa Ghavami Modegh
Ahmadali Salimi
Alireza Dizaji
Hamid R. Rabiee
FAtt
295
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0
27 Jan 2022
Learning Two-Step Hybrid Policy for Graph-Based Interpretable Reinforcement Learning
Tongzhou Mu
Kaixiang Lin
Fei Niu
Govind Thattai
OffRL
270
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21 Jan 2022
Fighting Money Laundering with Statistics and Machine Learning
IEEE Access (IEEE Access), 2022
R. Jensen
Alexandros Iosifidis
376
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11 Jan 2022
Improving ECG Classification Interpretability using Saliency Maps
International Conferences on Biological Information and Biomedical Engineering (ICCBIBE), 2020
Yola Jones
Fani Deligianni
Jeffrey Stephen Dalton
FAtt
154
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10 Jan 2022
Contrastive Explanations for Comparing Preferences of Reinforcement Learning Agents
Jasmina Gajcin
Rahul Nair
Tejaswini Pedapati
Radu Marinescu
Elizabeth M. Daly
Ivana Dusparic
OffRL
139
14
0
17 Dec 2021
Training Deep Models to be Explained with Fewer Examples
Tomoharu Iwata
Yuya Yoshikawa
FAtt
277
2
0
07 Dec 2021
VisRuler: Visual Analytics for Extracting Decision Rules from Bagged and Boosted Decision Trees
Angelos Chatzimparmpas
Rafael M. Martins
Andreas Kerren
632
17
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01 Dec 2021
Multi-objective Explanations of GNN Predictions
Yifei Liu
Chao Chen
Yazheng Liu
Xi Zhang
Sihong Xie
208
19
0
29 Nov 2021
Multiclass Optimal Classification Trees with SVM-splits
V. Blanco
Alberto Japón
J. Puerto
192
10
0
16 Nov 2021
A Unified and Fast Interpretable Model for Predictive Analytics
Expert systems with applications (ESWA), 2021
Yunan Zhu
Rui Ding
Tianchi Qiao
Zhitao Zou
Shi Han
Dongmei Zhang
115
5
0
16 Nov 2021
Self-Interpretable Model with TransformationEquivariant Interpretation
Yipei Wang
Xiaoqian Wang
217
28
0
09 Nov 2021
Defense Against Explanation Manipulation
Ruixiang Tang
Ninghao Liu
Fan Yang
Na Zou
Helen Zhou
AAML
198
12
0
08 Nov 2021
Modeling Techniques for Machine Learning Fairness: A Survey
Mingyang Wan
Daochen Zha
Ninghao Liu
Na Zou
SyDa
FaML
307
39
0
04 Nov 2021
Tree-based local explanations of machine learning model predictions, AraucanaXAI
Enea Parimbelli
G. Nicora
Szymon Wilk
W. Michalowski
Riccardo Bellazzi
141
39
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15 Oct 2021
Applying Machine Learning to Study Fluid Mechanics
Steven L. Brunton
PINN
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151
114
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05 Oct 2021
LEMON: Explainable Entity Matching
Nils Barlaug
FAtt
AAML
180
12
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01 Oct 2021
Look Who's Talking: Interpretable Machine Learning for Assessing Italian SMEs Credit Default
Lisa Crosato
C. Liberati
M. Repetto
174
1
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31 Aug 2021
Attention-like feature explanation for tabular data
International Journal of Data Science and Analysis (JDSA), 2021
A. Konstantinov
Lev V. Utkin
FAtt
309
5
0
10 Aug 2021
Post-hoc Interpretability for Neural NLP: A Survey
ACM Computing Surveys (CSUR), 2021
Andreas Madsen
Siva Reddy
A. Chandar
XAI
368
280
0
10 Aug 2021
Is it Fake? News Disinformation Detection on South African News Websites
Harm de Wet
Vukosi Marivate
74
7
0
06 Aug 2021
The Impact of Machine Learning on 2D/3D Registration for Image-guided Interventions: A Systematic Review and Perspective
Frontiers in Robotics and AI (Front. Robot. AI), 2021
Mathias Unberath
Cong Gao
Yicheng Hu
Max Judish
Russell H. Taylor
Mehran Armand
Robert Grupp
209
86
0
04 Aug 2021
Explainable Deep Few-shot Anomaly Detection with Deviation Networks
Guansong Pang
Choubo Ding
Chunhua Shen
Anton Van Den Hengel
236
108
0
01 Aug 2021
Resisting Out-of-Distribution Data Problem in Perturbation of XAI
Luyu Qiu
Yi Yang
Caleb Chen Cao
Jing Liu
Yueyuan Zheng
H. Ngai
J. H. Hsiao
Lei Chen
247
19
0
27 Jul 2021
Trustworthy AI: A Computational Perspective
Haochen Liu
Yiqi Wang
Wenqi Fan
Xiaorui Liu
Yaxin Li
Shaili Jain
Yunhao Liu
Anil K. Jain
Shucheng Zhou
FaML
419
260
0
12 Jul 2021
A Survey on Graph-Based Deep Learning for Computational Histopathology
David Ahmedt-Aristizabal
M. Armin
Akila Pemasiri
Clinton Fookes
L. Petersson
GNN
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283
134
0
01 Jul 2021
Fairness via Representation Neutralization
Mengnan Du
Subhabrata Mukherjee
Guanchu Wang
Ruixiang Tang
Ahmed Hassan Awadallah
Helen Zhou
298
85
0
23 Jun 2021
A Logical Neural Network Structure With More Direct Mapping From Logical Relations
Gang Wang
138
1
0
22 Jun 2021
Multivariate Data Explanation by Jumping Emerging Patterns Visualization
IEEE Transactions on Visualization and Computer Graphics (TVCG), 2021
Mário Popolin Neto
F. Paulovich
196
10
0
21 Jun 2021
Model-Based Counterfactual Synthesizer for Interpretation
Fan Yang
Sahan Suresh Alva
Jiahao Chen
X. Hu
102
34
0
16 Jun 2021
S-LIME: Stabilized-LIME for Model Explanation
Knowledge Discovery and Data Mining (KDD), 2021
Zhengze Zhou
Giles Hooker
Fei Wang
FAtt
265
116
0
15 Jun 2021
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