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Continual Semi-Supervised Learning: First International Workshop, CSSL 2021, Virtual Event, August 19-20, 2021, Revised Selected Papers

1, 2022

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The State of the Art in Enhancing Trust in Machine Learning Models with the Use of Visualizations

Computer graphics forum, 2020-06, Vol.39 (3), p.713-756

2020

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Empowering Independent Living Using the ICF: An Unobtrusive Home Monitoring Sensor System for Older Adults

Friedrich, Bjö

2024th edition, 2024

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The Statistical Physics of Data Assimilation and Machine Learning

Abarbanel, Henry D. I.

1, 2022

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Boosting: Foundations and Algorithms

1, 2012

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Supervised Machine Learning: Optimization Framework and Applications with SAS and R

1st edition, 2020

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Landslide susceptibility prediction based on a semi-supervised multiple-layer perceptron model

Landslides, 2020-12, Vol.17 (12), p.2919-2930

2020

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Predictive Models for Neonatal Follow-Up Serum Bilirubin: Model Development and Validation

JMIR medical informatics, 2020-10, Vol.8 (10), p.e21222-e21222

Chou, Joseph H

2020

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Recommendations and future directions for supervised machine learning in psychiatry

Translational psychiatry, 2019-10, Vol.9 (1), p.271-12, Article 271

2019

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Leveraging permutation testing to assess confidence in positive-unlabeled learning applied to high-dimensional biological datasets

BMC bioinformatics, 2024-06, Vol.25 (1), p.218-17, Article 218

2024

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Federated Semi-Supervised Multi-Task Learning to Detect COVID-19 and Lungs Segmentation Marking Using Chest Radiography Images and Raspberry Pi Devices: An Internet of Medical Things Application

Sensors (Basel, Switzerland), 2021-07, Vol.21 (15), p.5025

2021

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Mussel culture monitoring with semi-supervised machine learning on multibeam echosounder data using label spreading

Journal of environmental management, 2024-10, Vol.369, p.122250, Article 122250

2024

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Machine Learning, Low-Rank Approximations and Reduced Order Modeling in Computational Mechanics

2019

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Looking to the future: Learning from experience, averting catastrophe

Neural networks, 2019-12, Vol.120, p.5-8

Carpenter, Gail A.

2019

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Supervised Deep Learning and Classification of Single-Event Transients

IEEE transactions on nuclear science, 2023-08, Vol.70 (8), p.1-1

2023

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Semi-Supervised Behavior Labeling Using Multimodal Data during Virtual Teamwork-Based Collaborative Activities

Sensors (Basel, Switzerland), 2023-03, Vol.23 (7), p.3524

2023

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Multiple-Instance Learning from Pairwise Comparison Bags

ACM transactions on intelligent systems and technology, 2024-09

2024

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Prediction of persistent post-surgery pain by preoperative cold pain sensitivity: biomarker development with machine-learning-derived analysis

British journal of anaesthesia : BJA, 2017-10, Vol.119 (4), p.821-829

2017

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Student Performance Prediction Model based on Supervised Machine Learning Algorithms

IOP conference series. Materials Science and Engineering, 2020-11, Vol.928 (3), p.32019

2020

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Two neuroanatomical subtypes of males with autism spectrum disorder revealed using semi-supervised machine learning

Molecular autism, 2022-02, Vol.13 (1), p.9-9, Article 9

2022

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Semi-supervised machine learning for primary user emulation attack detection and prevention through core-based analytics for cognitive radio networks

International journal of distributed sensor networks, 2019-09, Vol.15 (9), p.155014771986036

2019

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Data mining algorithm for pre-processing biopharmaceutical drug product manufacturing records

Computers & chemical engineering, 2019-05, Vol.124, p.253-269

2019

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Elements of Statistical Learning: Data Mining, Inference, and Prediction

Second Edition, 2009

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Enhancing risk communication and environmental crisis management through satellite imagery and AI for air quality index estimation

MethodsX, 2024-06, Vol.12, p.102611-102611, Article 102611

2024

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Integrated meta-analysis and machine learning approach identifies acyl-CoA thioesterase with other novel genes responsible for biofilm development in Staphylococcus aureus

Infection, genetics and evolution, 2021-03, Vol.88, p.104702-104702, Article 104702

2021

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Continual Semi-Supervised Learning: First International Workshop, CSSL 2021, Virtual Event, August 19-20, 2021, Revised Selected Papers

The State of the Art in Enhancing Trust in Machine Learning Models with the Use of Visualizations

Empowering Independent Living Using the ICF: An Unobtrusive Home Monitoring Sensor System for Older Adults

The Statistical Physics of Data Assimilation and Machine Learning

Boosting: Foundations and Algorithms

Supervised Machine Learning: Optimization Framework and Applications with SAS and R

Landslide susceptibility prediction based on a semi-supervised multiple-layer perceptron model

Predictive Models for Neonatal Follow-Up Serum Bilirubin: Model Development and Validation

Recommendations and future directions for supervised machine learning in psychiatry

Leveraging permutation testing to assess confidence in positive-unlabeled learning applied to high-dimensional biological datasets

Federated Semi-Supervised Multi-Task Learning to Detect COVID-19 and Lungs Segmentation Marking Using Chest Radiography Images and Raspberry Pi Devices: An Internet of Medical Things Application

Mussel culture monitoring with semi-supervised machine learning on multibeam echosounder data using label spreading

Machine Learning, Low-Rank Approximations and Reduced Order Modeling in Computational Mechanics

Looking to the future: Learning from experience, averting catastrophe

Supervised Deep Learning and Classification of Single-Event Transients

Semi-Supervised Behavior Labeling Using Multimodal Data during Virtual Teamwork-Based Collaborative Activities

Multiple-Instance Learning from Pairwise Comparison Bags

Prediction of persistent post-surgery pain by preoperative cold pain sensitivity: biomarker development with machine-learning-derived analysis

Student Performance Prediction Model based on Supervised Machine Learning Algorithms

Two neuroanatomical subtypes of males with autism spectrum disorder revealed using semi-supervised machine learning

Semi-supervised machine learning for primary user emulation attack detection and prevention through core-based analytics for cognitive radio networks

Data mining algorithm for pre-processing biopharmaceutical drug product manufacturing records

Elements of Statistical Learning: Data Mining, Inference, and Prediction

Enhancing risk communication and environmental crisis management through satellite imagery and AI for air quality index estimation

Integrated meta-analysis and machine learning approach identifies acyl-CoA thioesterase with other novel genes responsible for biofilm development in Staphylococcus aureus

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