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Rule Generation for Classification: Scalability, Interpretability, and Fairness
Computers & Operations Research (Comput. Oper. Res.), 2021
21 April 2021
Tabea E. Rober
Adia C. Lumadjeng
M. Akyuz
cS. .Ilker Birbil
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Papers citing
"Rule Generation for Classification: Scalability, Interpretability, and Fairness"
31 / 31 papers shown
From Prototypes to Sparse ECG Explanations: SHAP-Driven Counterfactuals for Multivariate Time-Series Multi-class Classification
Maciej Mozolewski
Betül Bayrak
Kerstin Bach
Grzegorz J. Nalepa
202
1
0
22 Oct 2025
Support Vector Machines with the Hard-Margin Loss: Optimal Training via Combinatorial Benders' Cuts
Journal of Global Optimization (J. Glob. Optim.), 2022
Ítalo Santana
Breno Serrano
Maximilian Schiffer
Thibaut Vidal
282
6
0
15 Jul 2022
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey
ACM Journal on Responsible Computing (JRC), 2022
Max Hort
Zhenpeng Chen
Jie M. Zhang
Mark Harman
Federica Sarro
FaML
AI4CE
432
266
0
14 Jul 2022
Truly Unordered Probabilistic Rule Sets for Multi-class Classification
Lincen Yang
M. Leeuwen
260
16
0
17 Jun 2022
Beyond Adult and COMPAS: Fairness in Multi-Class Prediction
Wael Alghamdi
Hsiang Hsu
Haewon Jeong
Hao Wang
P. Michalák
S. Asoodeh
Flavio du Pin Calmon
FaML
225
22
0
15 Jun 2022
Mixed integer linear optimization formulations for learning optimal binary classification trees
B. Alston
Hamidreza Validi
Illya V. Hicks
234
3
0
10 Jun 2022
bsnsing: A decision tree induction method based on recursive optimal boolean rule composition
INFORMS journal on computing (IJOC), 2022
Yan-ching Liu
167
12
0
30 May 2022
Optimal Decision Diagrams for Classification
AAAI Conference on Artificial Intelligence (AAAI), 2022
Alexandre M. Florio
P. Martins
Maximilian Schiffer
Thiago Serra
Thibaut Vidal
224
17
0
28 May 2022
Interpretable and Fair Boolean Rule Sets via Column Generation
Connor Lawless
S. Dash
Oktay Gunluk
Dennis L. Wei
FaML
334
15
0
16 Nov 2021
Fairness guarantee in multi-class classification
Christophe Denis
Romuald Elie
Mohamed Hebiri
Franccois Hu
FaML
448
53
0
28 Sep 2021
Fair Decision Rules for Binary Classification
Connor Lawless
Oktay Gunluk
FaML
226
6
0
03 Jul 2021
Strong Optimal Classification Trees
Operational Research (OR), 2021
S. Aghaei
Andrés Gómez
P. Vayanos
411
56
0
29 Mar 2021
MurTree: Optimal Classification Trees via Dynamic Programming and Search
Journal of machine learning research (JMLR), 2020
Emir Demirović
Anna Lukina
E. Hébrard
Jeffrey Chan
James Bailey
C. Leckie
K. Ramamohanarao
Peter Stuckey
543
84
0
24 Jul 2020
Principles to Practices for Responsible AI: Closing the Gap
Daniel S. Schiff
B. Rakova
A. Ayesh
Anat Fanti
M. Lennon
243
114
0
08 Jun 2020
Sparsity in Optimal Randomized Classification Trees
European Journal of Operational Research (EJOR), 2020
R. Blanquero
E. Carrizosa
Cristina Molero-Río
Dolores Romero Morales
293
49
0
21 Feb 2020
IMLI: An Incremental Framework for MaxSAT-Based Learning of Interpretable Classification Rules
AAAI/ACM Conference on AI, Ethics, and Society (AIES), 2019
Bishwamittra Ghosh
Kuldeep S. Meel
253
36
0
07 Jan 2020
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI
Information Fusion (Inf. Fusion), 2019
Alejandro Barredo Arrieta
Natalia Díaz Rodríguez
Javier Del Ser
Adrien Bennetot
Siham Tabik
...
S. Gil-Lopez
Daniel Molina
Richard Benjamins
Raja Chatila
Francisco Herrera
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22 Oct 2019
A Survey on Bias and Fairness in Machine Learning
ACM Computing Surveys (ACM CSUR), 2019
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
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5,630
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23 Aug 2019
The Price of Interpretability
Dimitris Bertsimas
A. Delarue
Patrick Jaillet
Sébastien Martin
197
38
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08 Jul 2019
Generalized Linear Rule Models
International Conference on Machine Learning (ICML), 2019
Dennis L. Wei
S. Dash
Tian Gao
Oktay Gunluk
182
70
0
05 Jun 2019
Interpretable multiclass classification by MDL-based rule lists
Information Sciences (Inf. Sci.), 2019
Hugo Manuel Proença
M. Leeuwen
297
55
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01 May 2019
Optimal Sparse Decision Trees
Neural Information Processing Systems (NeurIPS), 2019
Xiyang Hu
Cynthia Rudin
Margo Seltzer
720
196
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29 Apr 2019
MLIC: A MaxSAT-Based framework for learning interpretable classification rules
Dmitry Malioutov
Kuldeep S. Meel
173
47
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05 Dec 2018
Local Rule-Based Explanations of Black Box Decision Systems
Riccardo Guidotti
A. Monreale
Salvatore Ruggieri
D. Pedreschi
Franco Turini
F. Giannotti
502
489
0
28 May 2018
Boolean Decision Rules via Column Generation
S. Dash
Oktay Gunluk
Dennis L. Wei
331
190
0
24 May 2018
Optimization of Tree Ensembles
Operational Research (OR), 2017
V. Mišić
405
114
0
30 May 2017
A Unified Approach to Interpreting Model Predictions
Scott M. Lundberg
Su-In Lee
FAtt
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32,516
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22 May 2017
Fairness in Criminal Justice Risk Assessments: The State of the Art
R. Berk
Hoda Heidari
S. Jabbari
Michael Kearns
Aaron Roth
370
1,102
0
27 Mar 2017
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments
Alexandra Chouldechova
FaML
1.0K
2,357
0
24 Oct 2016
Equality of Opportunity in Supervised Learning
Neural Information Processing Systems (NeurIPS), 2016
Moritz Hardt
Eric Price
Nathan Srebro
FaML
544
4,996
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07 Oct 2016
Learning Optimized Or's of And's
Tong Wang
Cynthia Rudin
179
25
0
06 Nov 2015
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