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Interpretability of Machine Intelligence in Medical Image Computing, and Topological Data Analysis and Its Applications for Medical Data: 4th International Workshop, iMIMIC 2021, and 1st International Workshop, TDA4MedicalData 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings

1st Edition 2021, 2021

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Adversarial Machine Learning Applied to Intrusion and Malware Scenarios: A Systematic Review

IEEE access, 2020, Vol.8, p.35403-35419

2020

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Reviewing Autoencoders for Missing Data Imputation: Technical Trends, Applications and Outcomes

The Journal of artificial intelligence research, 2020-12, Vol.69, p.1255-1285

2020

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Interpretability of Machine Intelligence in Medical Image Computing: 5th International Workshop, IMIMIC 2022, Held in Conjunction with MICCAI 2022, Singapore, Singapore, September 22, 2022, Proceedings

1st Edition 2022, 2022

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Artificial Intelligence in Medicine: 19th International Conference on Artificial Intelligence in Medicine, AIME 2021, Virtual Event, June 15-18, 2021, Proceedings

1st Edition 2021, 2021

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Using deep learning techniques in medical imaging: a systematic review of applications on CT and PET

The Artificial intelligence review, 2020-08, Vol.53 (6), p.4093-4160

2020

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A new cluster-based oversampling method for improving survival prediction of hepatocellular carcinoma patients

Journal of biomedical informatics, 2015-12, Vol.58, p.49-59

2015

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Interpretable and Annotation-Efficient Learning for Medical Image Computing: Third International Workshop, iMIMIC 2020, Second International Workshop, MIL3ID 2020, and 5th International Workshop, LABELS 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings

1st ed. 2020., 2020

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Partial Multiple Imputation With Variational Autoencoders: Tackling Not at Randomness in Healthcare Data

IEEE journal of biomedical and health informatics, 2022-08, Vol.26 (8), p.4218-4227

2022

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Bone Metastases Detection in Patients with Breast Cancer: Does Bone Scintigraphy Add Information to PET/CT?

The oncologist (Dayton, Ohio), 2023-08, Vol.28 (8), p.e600-e605

2023

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Using Kalman Filters to Reduce Noise from RFID Location System

TheScientificWorld, 2014-01, Vol.2014, p.796279-9

2014

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Influence of Data Distribution in Missing Data Imputation

Artificial Intelligence in Medicine, p.285-294

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Patterns of recurrence and treatment in male breast cancer: A clue to prognosis?

International journal of cancer, 2016-10, Vol.139 (8), p.1715-1720

2016

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MNAR Imputation with Distributed Healthcare Data

Progress in Artificial Intelligence, p.184-195

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FAWOS: Fairness-Aware Oversampling Algorithm Based on Distributions of Sensitive Attributes

IEEE access, 2021, Vol.9, p.81370-81379

2021

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An Inverted Ant Colony Optimization approach to traffic

Engineering applications of artificial intelligence, 2014-11, Vol.36, p.122-133

2014

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Generating Synthetic Missing Data: A Review by Missing Mechanism

IEEE access, 2019, Vol.7, p.11651-11667

2019

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Autonomous agents and multi-agent systems applied in healthcare

Artificial intelligence in medicine, 2019-05, Vol.96, p.142-144

2019

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Advances in Intelligent Data Analysis XIX: 19th International Symposium on Intelligent Data Analysis, IDA 2021, Porto, Portugal, April 26-28, 2021, Proceedings

1, 2021

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Types of assessing student-programming knowledge

2016 IEEE Frontiers in Education Conference (FIE), 2016, p.1-8

2016

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Improving the Classifier Performance in Motor Imagery Task Classification: What are the steps in the classification process that we should worry about?

International journal of computational intelligence systems, 2018, Vol.11 (1), p.1278-1293

2018

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Development of flexible languages for scenario and team description in multirobot missions

Artificial intelligence for engineering design, analysis and manufacturing, 2017-02, Vol.31 (1), p.69-86

2017

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Guest Editorial: Advances in Knowledge and Information Software Management

IET software, 2017-06, Vol.11 (3), p.75-76

2017

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Agents and Multi-Agent Systems for Health Care: 10th International Workshop, A2HC 2017, São Paulo, Brazil, May 8, 2017, and International Workshop, a-HEALTH 2017, Porto, Portugal, June 21, 2017, Revised and Extended Selected Papers

1st Edition 2017, 2017

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Exploring the Effects of Data Distribution in Missing Data Imputation

Advances in Intelligent Data Analysis XVII, p.251-263

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Adversarial Machine Learning Applied to Intrusion and Malware Scenarios: A Systematic Review

Reviewing Autoencoders for Missing Data Imputation: Technical Trends, Applications and Outcomes

Interpretability of Machine Intelligence in Medical Image Computing: 5th International Workshop, IMIMIC 2022, Held in Conjunction with MICCAI 2022, Singapore, Singapore, September 22, 2022, Proceedings

Artificial Intelligence in Medicine: 19th International Conference on Artificial Intelligence in Medicine, AIME 2021, Virtual Event, June 15-18, 2021, Proceedings

Using deep learning techniques in medical imaging: a systematic review of applications on CT and PET

A new cluster-based oversampling method for improving survival prediction of hepatocellular carcinoma patients

Interpretable and Annotation-Efficient Learning for Medical Image Computing: Third International Workshop, iMIMIC 2020, Second International Workshop, MIL3ID 2020, and 5th International Workshop, LABELS 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings

Partial Multiple Imputation With Variational Autoencoders: Tackling Not at Randomness in Healthcare Data

Bone Metastases Detection in Patients with Breast Cancer: Does Bone Scintigraphy Add Information to PET/CT?

Using Kalman Filters to Reduce Noise from RFID Location System

Influence of Data Distribution in Missing Data Imputation

Patterns of recurrence and treatment in male breast cancer: A clue to prognosis?

MNAR Imputation with Distributed Healthcare Data

FAWOS: Fairness-Aware Oversampling Algorithm Based on Distributions of Sensitive Attributes

An Inverted Ant Colony Optimization approach to traffic

Generating Synthetic Missing Data: A Review by Missing Mechanism

Autonomous agents and multi-agent systems applied in healthcare

Advances in Intelligent Data Analysis XIX: 19th International Symposium on Intelligent Data Analysis, IDA 2021, Porto, Portugal, April 26-28, 2021, Proceedings

Types of assessing student-programming knowledge

Improving the Classifier Performance in Motor Imagery Task Classification: What are the steps in the classification process that we should worry about?

Development of flexible languages for scenario and team description in multirobot missions

Guest Editorial: Advances in Knowledge and Information Software Management

Agents and Multi-Agent Systems for Health Care: 10th International Workshop, A2HC 2017, São Paulo, Brazil, May 8, 2017, and International Workshop, a-HEALTH 2017, Porto, Portugal, June 21, 2017, Revised and Extended Selected Papers

Exploring the Effects of Data Distribution in Missing Data Imputation

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