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A Comparison of Decision Tree Ensemble Creation Techniques

IEEE transactions on pattern analysis and machine intelligence, 2007-01, Vol.29 (1), p.173-180

2007

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Reproducibility and Prognosis of Quantitative Features Extracted from CT Images

Translational oncology, 2014-02, Vol.7 (1), p.72-87

2014

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SMOTEBoost: Improving prediction of the Minority class in boosting

Lecture notes in computer science, 2003, p.107-119

2003

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Challenges for the Repeatability of Deep Learning Models

IEEE access, 2020, Vol.8, p.211860-211868

2020

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Discovery of a Generalization Gap of Convolutional Neural Networks on COVID-19 X-Rays Classification

IEEE access, 2021-01, Vol.9, p.72970-72979

2021

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Experimental evaluation of baselines for forecasting social media timeseries

EPJ data science, 2023-12, Vol.12 (1), p.8-8, Article 8

2023

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Automated delineation of lung tumors from CT images using a single click ensemble segmentation approach

Pattern recognition, 2013-03, Vol.46 (3), p.692-702

2013

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Delta Radiomics Improves Pulmonary Nodule Malignancy Prediction in Lung Cancer Screening

IEEE access, 2018, Vol.6, p.77796-77806

2018

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Automatically countering imbalance and its empirical relationship to cost

Data mining and knowledge discovery, 2008-10, Vol.17 (2), p.225-252

2008

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Achieving Multisite Generalization for CNN-Based Disease Diagnosis Models by Mitigating Shortcut Learning

IEEE access, 2022, Vol.10, p.78726-78738

2022

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Ensembles of Convolutional Neural Networks for Survival Time Estimation of High-Grade Glioma Patients from Multimodal MRI

Diagnostics (Basel), 2022-01, Vol.12 (2), p.345

2022

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Predicting Outcomes of Nonsmall Cell Lung Cancer Using CT Image Features

IEEE access, 2014, Vol.2, p.1418-1426

2014

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Modeling information diffusion in social media: data-driven observations

Frontiers in big data, 2023-05, Vol.6, p.1135191-1135191

2023

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Reduction of Video Capsule Endoscopy Reading Times Using Deep Learning with Small Data

Algorithms, 2022-09, Vol.15 (10), p.339

2022

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Explaining Deep Features Using Radiologist-Defined Semantic Features and Traditional Quantitative Features

Tomography (Ann Arbor), 2019-03, Vol.5 (1), p.192-200

2019

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A Review of Nuclei Detection and Segmentation on Microscopy Images Using Deep Learning With Applications to Unbiased Stereology Counting

IEEE transaction on neural networks and learning systems, 2024-06, Vol.35 (6), p.7458-7477

2024

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Accelerating Fuzzy-C Means Using an Estimated Subsample Size

IEEE transactions on fuzzy systems, 2014-10, Vol.22 (5), p.1229-1244

2014

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Stability and reproducibility of computed tomography radiomic features extracted from peritumoral regions of lung cancer lesions

Medical physics (Lancaster), 2019-11, Vol.46 (11), p.5075-5085

2019

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Radiomics: the process and the challenges

Magnetic resonance imaging, 2012-11, Vol.30 (9), p.1234-1248

2012

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Identifying spatial imaging biomarkers of glioblastoma multiforme for survival group prediction

Journal of magnetic resonance imaging, 2017-07, Vol.46 (1), p.115-123

2017

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VAM: An End-to-End Simulator for Time Series Regression and Temporal Link Prediction in Social Media Networks

IEEE transactions on computational social systems, 2023-08, Vol.10 (4), p.1479-1490

2023

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An adaptive digital stain separation method for deep learning-based automatic cell profile counts

Journal of neuroscience methods, 2021-04, Vol.354, p.109102, Article 109102

2021

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Test–Retest Reproducibility Analysis of Lung CT Image Features

Journal of digital imaging, 2014-12, Vol.27 (6), p.805-823

2014

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A framework for nucleus and overlapping cytoplasm segmentation in cervical cytology extended depth of field and volume images

Computerized medical imaging and graphics, 2017-07, Vol.59, p.38-49

2017

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A novel deep learning-based method for automatic stereology of microglia cells from low magnification images

Neurotoxicology and teratology, 2024-03, Vol.102, p.107336-107336, Article 107336

2024

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A Comparison of Decision Tree Ensemble Creation Techniques

Reproducibility and Prognosis of Quantitative Features Extracted from CT Images

SMOTEBoost: Improving prediction of the Minority class in boosting

Challenges for the Repeatability of Deep Learning Models

Discovery of a Generalization Gap of Convolutional Neural Networks on COVID-19 X-Rays Classification

Experimental evaluation of baselines for forecasting social media timeseries

Automated delineation of lung tumors from CT images using a single click ensemble segmentation approach

Delta Radiomics Improves Pulmonary Nodule Malignancy Prediction in Lung Cancer Screening

Automatically countering imbalance and its empirical relationship to cost

Achieving Multisite Generalization for CNN-Based Disease Diagnosis Models by Mitigating Shortcut Learning

Ensembles of Convolutional Neural Networks for Survival Time Estimation of High-Grade Glioma Patients from Multimodal MRI

Predicting Outcomes of Nonsmall Cell Lung Cancer Using CT Image Features

Modeling information diffusion in social media: data-driven observations

Reduction of Video Capsule Endoscopy Reading Times Using Deep Learning with Small Data

Explaining Deep Features Using Radiologist-Defined Semantic Features and Traditional Quantitative Features

A Review of Nuclei Detection and Segmentation on Microscopy Images Using Deep Learning With Applications to Unbiased Stereology Counting

Accelerating Fuzzy-C Means Using an Estimated Subsample Size

Stability and reproducibility of computed tomography radiomic features extracted from peritumoral regions of lung cancer lesions

Radiomics: the process and the challenges

Identifying spatial imaging biomarkers of glioblastoma multiforme for survival group prediction

VAM: An End-to-End Simulator for Time Series Regression and Temporal Link Prediction in Social Media Networks

An adaptive digital stain separation method for deep learning-based automatic cell profile counts

Test–Retest Reproducibility Analysis of Lung CT Image Features

A framework for nucleus and overlapping cytoplasm segmentation in cervical cytology extended depth of field and volume images

A novel deep learning-based method for automatic stereology of microglia cells from low magnification images

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