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Can machine-learning improve cardiovascular risk prediction using routine clinical data?

PloS one, 2017-04, Vol.12 (4), p.e0174944

2017

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A new accuracy measure based on bounded relative error for time series forecasting

PloS one, 2017-03, Vol.12 (3), p.e0174202-e0174202

2017

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Computational Intelligence: 11th International Joint Conference, IJCCI 2019, Vienna, Austria, September 17-19, 2019, Revised Selected Papers

1, 2021

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Using rule-based machine learning for candidate disease gene prioritization and sample classification of cancer gene expression data

PloS one, 2012-07, Vol.7 (7), p.e39932-e39932

2012

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ADONiS-Adaptive Online Nonsingleton Fuzzy Logic Systems

IEEE transactions on fuzzy systems, 2020-10, Vol.28 (10), p.2302-2312

2020

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Reshaping Wearable Robots Using Fuzzy Intelligence: Integrating Type-2 Fuzzy Decision, Intelligent Control and Origami Structure

IEEE transactions on fuzzy systems, 2023-11, Vol.31 (11), p.1-22

2023

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Automatic detection of protected health information from clinic narratives

Journal of biomedical informatics, 2015-12, Vol.58 (Suppl), p.S30-S38

2015

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Toward a Framework for Capturing Interpretability of Hierarchical Fuzzy Systems-A Participatory Design Approach

IEEE transactions on fuzzy systems, 2021-05, Vol.29 (5), p.1160-1172

2021

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ArrayMining: a modular web-application for microarray analysis combining ensemble and consensus methods with cross-study normalization

BMC bioinformatics, 2009-10, Vol.10 (1), p.358-358, Article 358

2009

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A hybrid model for automatic identification of risk factors for heart disease

Journal of biomedical informatics, 2015-12, Vol.58 (Suppl), p.S171-S182

2015

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A Novel Quality Control Algorithm for Medical Image Segmentation Based on Fuzzy Uncertainty

IEEE transactions on fuzzy systems, 2023-08, Vol.31 (8), p.2532-2544

2023

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Network Intrusion Detection Based on Dynamic Intuitionistic Fuzzy Sets

IEEE transactions on fuzzy systems, 2022-09, Vol.30 (9), p.3460-3472

2022

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Input Uncertainty Sensitivity Enhanced Nonsingleton Fuzzy Logic Controllers for Long-Term Navigation of Quadrotor UAVs

IEEE/ASME transactions on mechatronics, 2018-04, Vol.23 (2), p.725-734

2018

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The need for fuzzy AI

IEEE/CAA journal of automatica sinica, 2019-05, Vol.6 (3), p.610-622

Garibaldi, Jonathan M.

2019

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Deep Fuzzy Tree for Large-Scale Hierarchical Visual Classification

IEEE transactions on fuzzy systems, 2020-07, Vol.28 (7), p.1395-1406

2020

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LMISA: A lightweight multi-modality image segmentation network via domain adaptation using gradient magnitude and shape constraint

Medical image analysis, 2022-10, Vol.81, p.102536-102536, Article 102536

2022

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A Comprehensive Study of the Efficiency of Type-Reduction Algorithms

IEEE transactions on fuzzy systems, 2021-06, Vol.29 (6), p.1556-1566

2021

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Constrained Interval Type-2 Fuzzy Sets

IEEE transactions on fuzzy systems, 2021-05, Vol.29 (5), p.1212-1225

2021

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Improved Uncertainty Capture for Nonsingleton Fuzzy Systems

IEEE transactions on fuzzy systems, 2016-12, Vol.24 (6), p.1513-1524

2016

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A Fast Inference and Type-Reduction Process for Constrained Interval Type-2 Fuzzy Systems

IEEE transactions on fuzzy systems, 2021-11, Vol.29 (11), p.3323-3333

2021

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Root gravitropism is regulated by a transient lateral auxin gradient controlled by a tipping-point mechanism

Proceedings of the National Academy of Sciences - PNAS, 2012-03, Vol.109 (12), p.4668-4673

2012

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MysiRNA-designer: a workflow for efficient siRNA design

PloS one, 2011-10, Vol.6 (10), p.e25642-e25642

2011

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Semi-Supervised Fuzzy Clustering with Feature Discrimination

PloS one, 2015-09, Vol.10 (9), p.e0131160-e0131160

2015

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Clustering-Based Representation Learning through Output Translation and Its Application to Remote-Sensing Images

Remote sensing (Basel, Switzerland), 2022-07, Vol.14 (14), p.3361

2022

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Machine learning can predict disease manifestations and outcomes in lymphangioleiomyomatosis

The European respiratory journal, 2021-06, Vol.57 (6), p.2003036

2021

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Can machine-learning improve cardiovascular risk prediction using routine clinical data?

A new accuracy measure based on bounded relative error for time series forecasting

Computational Intelligence: 11th International Joint Conference, IJCCI 2019, Vienna, Austria, September 17-19, 2019, Revised Selected Papers

Using rule-based machine learning for candidate disease gene prioritization and sample classification of cancer gene expression data

ADONiS-Adaptive Online Nonsingleton Fuzzy Logic Systems

Reshaping Wearable Robots Using Fuzzy Intelligence: Integrating Type-2 Fuzzy Decision, Intelligent Control and Origami Structure

Automatic detection of protected health information from clinic narratives

Toward a Framework for Capturing Interpretability of Hierarchical Fuzzy Systems-A Participatory Design Approach

ArrayMining: a modular web-application for microarray analysis combining ensemble and consensus methods with cross-study normalization

A hybrid model for automatic identification of risk factors for heart disease

A Novel Quality Control Algorithm for Medical Image Segmentation Based on Fuzzy Uncertainty

Network Intrusion Detection Based on Dynamic Intuitionistic Fuzzy Sets

Input Uncertainty Sensitivity Enhanced Nonsingleton Fuzzy Logic Controllers for Long-Term Navigation of Quadrotor UAVs

The need for fuzzy AI

Deep Fuzzy Tree for Large-Scale Hierarchical Visual Classification

LMISA: A lightweight multi-modality image segmentation network via domain adaptation using gradient magnitude and shape constraint

A Comprehensive Study of the Efficiency of Type-Reduction Algorithms

Constrained Interval Type-2 Fuzzy Sets

Improved Uncertainty Capture for Nonsingleton Fuzzy Systems

A Fast Inference and Type-Reduction Process for Constrained Interval Type-2 Fuzzy Systems

Root gravitropism is regulated by a transient lateral auxin gradient controlled by a tipping-point mechanism

MysiRNA-designer: a workflow for efficient siRNA design

Semi-Supervised Fuzzy Clustering with Feature Discrimination

Clustering-Based Representation Learning through Output Translation and Its Application to Remote-Sensing Images

Machine learning can predict disease manifestations and outcomes in lymphangioleiomyomatosis

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