Related references
Note: Only part of the references are listed.Principles for constructing three-way approximations of fuzzy sets: A comparative evaluation based on unsupervised learning
Jie Zhou et al.
FUZZY SETS AND SYSTEMS (2021)
Aleatoric and epistemic uncertainty in machine learning: an introduction to concepts and methods
Eyke Huellermeier et al.
MACHINE LEARNING (2021)
Approaches to Three-Way Decisions Based on the Evaluation of Probabilistic Linguistic Terms Sets
Pingping Gu et al.
SYMMETRY-BASEL (2021)
Fast inference in convolutional neural networks based on sequential three-way decisions
A. Savchenko
INFORMATION SCIENCES (2021)
The effectiveness of three-way classification with interpretable perspective
Dun Liu
INFORMATION SCIENCES (2021)
Set-theoretic models of three-way decision
Yiyu Yao
GRANULAR COMPUTING (2021)
Three-way confusion matrix for classification: A measure driven view
Jianfeng Xu et al.
INFORMATION SCIENCES (2020)
Multi-level conformal clustering: A distribution-free technique for clustering and anomaly detection
Ilia Nouretdinov et al.
NEUROCOMPUTING (2020)
An electronic nose-based assistive diagnostic prototype for lung cancer detection with conformal prediction
Xianghao Zhan et al.
MEASUREMENT (2020)
Three sequential multi-class three-way decision models
Yi Xu et al.
INFORMATION SCIENCES (2020)
The three-way-in and three-way-out framework to treat and exploit ambiguity in data
Andrea Campagner et al.
INTERNATIONAL JOURNAL OF APPROXIMATE REASONING (2020)
Three-way decisions: beyond rough sets and granular computing
Dun Liu et al.
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS (2020)
Three-Way Decision for Handling Uncertainty in Machine Learning: A Narrative Review
Andrea Campagner et al.
ROUGH SETS, IJCRS 2020 (2020)
Least Ambiguous Set-Valued Classifiers With Bounded Error Levels
Mauricio Sadinle et al.
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2019)
Tri-partition cost-sensitive active learning through kNN
Fan Min et al.
SOFT COMPUTING (2019)
A cost-sensitive three-way combination technique for ensemble learning in sentiment classification
Yuebing Zhang et al.
INTERNATIONAL JOURNAL OF APPROXIMATE REASONING (2019)
An optimization-based formulation for three-way decisions
Jiubing Liu et al.
INFORMATION SCIENCES (2019)
Large scale comparison of QSAR and conformal prediction methods and their applications in drug discovery
Nicolas Bosc et al.
JOURNAL OF CHEMINFORMATICS (2019)
Cautious classification with nested dichotomies and imprecise probabilities
Gen Yang et al.
SOFT COMPUTING (2017)
Enhancing Binary Classification by Modeling Uncertain Boundary in Three-Way Decisions
Yuefeng Li et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2017)
Criteria of efficiency for set-valued classification
Vladimir Vovk et al.
ANNALS OF MATHEMATICS AND ARTIFICIAL INTELLIGENCE (2017)
Practical Methods for Constructing Possibility Distributions
Didier Dubois et al.
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS (2016)
Classification of sagittal imbalance based on spinal alignment and compensatory mechanisms
Claudio Lamartina et al.
EUROPEAN SPINE JOURNAL (2014)
Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization
Eyke Huellermeier
INTERNATIONAL JOURNAL OF APPROXIMATE REASONING (2014)
Incorporating logistic regression to decision-theoretic rough sets for classifications
Dun Liu et al.
INTERNATIONAL JOURNAL OF APPROXIMATE REASONING (2014)
Credal classification rule for uncertain data based on belief functions
Zhun-ga Liu et al.
PATTERN RECOGNITION (2014)
Morbidity and mortality in adult spinal deformity surgery: Norwich Spinal Unit experience
Shaishav Bhagat et al.
EUROPEAN SPINE JOURNAL (2013)
ACTIVE LEARNING USING CONFORMAL PREDICTORS: APPLICATION TO IMAGE CLASSIFICATION
Lazaro Emilio Makili et al.
FUSION SCIENCE AND TECHNOLOGY (2012)
Share Paper
