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Effective and low fouling oil/water separation by a novel hollow fiber membrane with both hydrophilic and oleophobic surface properties

Journal of membrane science, 2014-09, Vol.466, p.36-44

2014

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A subject transfer framework for EEG classification

Neurocomputing (Amsterdam), 2012-04, Vol.82, p.109-116

2012

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Radiomics signature: a biomarker for the preoperative discrimination of lung invasive adenocarcinoma manifesting as a ground-glass nodule

European radiology, 2019-02, Vol.29 (2), p.889-897

2019

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Multitask Learning and Reinforcement Learning for Personalized Dialog Generation: An Empirical Study

IEEE transaction on neural networks and learning systems, 2021-01, Vol.32 (1), p.49-62

2021

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Multivariate analysis based on the maximum standard unit value of 18F-fluorodeoxyglucose positron emission tomography/computed tomography and computed tomography features for preoperative predicting of visceral pleural invasion in patients with subpleural clinical stage IA peripheral lung adenocarcinoma

Diagnostic and interventional radiology (Ankara, Turkey), 2023-03, Vol.29 (2), p.379-389

2023

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Investment recommendation by discovering high-quality opinions in investor based social networks

Information systems (Oxford), 2018-11, Vol.78, p.189-198

2018

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Evaluating a Fully Automated Pulmonary Nodule Detection Approach and Its Impact on Radiologist Performance

Radiology. Artificial intelligence, 2019-05, Vol.1 (3), p.e180084-e180084

2019

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Nomogram based on clinical characteristics and radiological features for the preoperative prediction of spread through air spaces in patients with clinical stage IA non-small cell lung cancer: a multicenter study

Diagnostic and interventional radiology (Ankara, Turkey), 2023-11, Vol.29 (6), p.771-785

2023

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Baseline whole-lung CT features deriving from deep learning and radiomics: prediction of benign and malignant pulmonary ground-glass nodules

Frontiers in oncology, 2023-08, Vol.13, p.1255007-1255007

2023

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Semi-supervised feature extraction for EEG classification

Pattern analysis and applications : PAA, 2013-05, Vol.16 (2), p.213-222

2013

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Development, Validation, and Comparison of Image-Based, Clinical Feature-Based and Fusion Artificial Intelligence Diagnostic Models in Differentiating Benign and Malignant Pulmonary Ground-Glass Nodules

Frontiers in oncology, 2022-06, Vol.12, p.892890-892890

2022

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Nomogram using intratumoral and peritumoral radiomics for the preoperative prediction of visceral pleural invasion in clinical stage IA lung adenocarcinoma

Journal of cardiothoracic surgery, 2024-05, Vol.19 (1), p.307-14, Article 307

2024

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Ultra-low-dose spectral-detector computed tomography for the accurate quantification of pulmonary nodules: an anthropomorphic chest phantom study

Diagnostic and interventional radiology (Ankara, Turkey), 2023-09, Vol.29 (5), p.691-703

2023

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A clinical-radiomics nomogram based on automated segmentation of chest CT to discriminate PRISm and COPD patients

European journal of radiology Open, 2024-12, Vol.13, p.100580, Article 100580

2024

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Detecting Time Synchronization Attacks in Cyber-Physical Systems with Machine Learning Techniques

2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS), 2017, p.2246-2251

2017

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Attention Based LSTM for Target Dependent Sentiment Classification

Proceedings of the ... AAAI Conference on Artificial Intelligence, 2017-02, Vol.31 (1)

2017

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Dynamical ensemble learning with model-friendly classifiers for domain adaptation

Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012), 2012, p.1181-1184

2012

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FollowAKOInvestor: Stock recommendation by hearing voices from all kinds of investors with machine learning

Expert systems with applications, 2024-09, Vol.249, p.123522, Article 123522

2024

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Radiomics signature: A potential and incremental predictor for EGFR mutation status in NSCLC patients, comparison with CT morphology

Lung cancer (Amsterdam, Netherlands), 2019-06, Vol.132, p.28-35

2019

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Assessing dynamic qualities of investor sentiments for stock recommendation

Information processing & management, 2021-03, Vol.58 (2), p.102452, Article 102452

2021

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Credit scoring by one-class classification driven dynamical ensemble learning

The Journal of the Operational Research Society, 2022-01, Vol.73 (1), p.181-190

2022

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Controllable preparation of YPrO3 photocatalystvia sol-gel method with enhanced photocatalytic performance under ultraviolet light

Journal of solid state chemistry, 2024-11, Vol.339, p.124981, Article 124981

2024

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More focus on what you care about: Personalized top reviews set

Neurocomputing (Amsterdam), 2017-09, Vol.254, p.3-12

2017

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Neural Attentive Network for Cross-Domain Aspect-Level Sentiment Classification

IEEE transactions on affective computing, 2021-07, Vol.12 (3), p.761-775

2021

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Personalized response generation by Dual-learning based domain adaptation

Neural networks, 2018-07, Vol.103, p.72-82

2018

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Effective and low fouling oil/water separation by a novel hollow fiber membrane with both hydrophilic and oleophobic surface properties

A subject transfer framework for EEG classification

Radiomics signature: a biomarker for the preoperative discrimination of lung invasive adenocarcinoma manifesting as a ground-glass nodule

Multitask Learning and Reinforcement Learning for Personalized Dialog Generation: An Empirical Study

Investment recommendation by discovering high-quality opinions in investor based social networks

Evaluating a Fully Automated Pulmonary Nodule Detection Approach and Its Impact on Radiologist Performance

Nomogram based on clinical characteristics and radiological features for the preoperative prediction of spread through air spaces in patients with clinical stage IA non-small cell lung cancer: a multicenter study

Baseline whole-lung CT features deriving from deep learning and radiomics: prediction of benign and malignant pulmonary ground-glass nodules

Semi-supervised feature extraction for EEG classification

Development, Validation, and Comparison of Image-Based, Clinical Feature-Based and Fusion Artificial Intelligence Diagnostic Models in Differentiating Benign and Malignant Pulmonary Ground-Glass Nodules

Nomogram using intratumoral and peritumoral radiomics for the preoperative prediction of visceral pleural invasion in clinical stage IA lung adenocarcinoma

Ultra-low-dose spectral-detector computed tomography for the accurate quantification of pulmonary nodules: an anthropomorphic chest phantom study

A clinical-radiomics nomogram based on automated segmentation of chest CT to discriminate PRISm and COPD patients

Detecting Time Synchronization Attacks in Cyber-Physical Systems with Machine Learning Techniques

Attention Based LSTM for Target Dependent Sentiment Classification

Dynamical ensemble learning with model-friendly classifiers for domain adaptation

FollowAKOInvestor: Stock recommendation by hearing voices from all kinds of investors with machine learning

Radiomics signature: A potential and incremental predictor for EGFR mutation status in NSCLC patients, comparison with CT morphology

Assessing dynamic qualities of investor sentiments for stock recommendation

Credit scoring by one-class classification driven dynamical ensemble learning

Controllable preparation of YPrO3 photocatalystvia sol-gel method with enhanced photocatalytic performance under ultraviolet light

More focus on what you care about: Personalized top reviews set

Neural Attentive Network for Cross-Domain Aspect-Level Sentiment Classification

Personalized response generation by Dual-learning based domain adaptation

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