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A 360° View for Large Language Models: Early Detection of Amblyopia in Children Using Multi-view Eye Movement Recordings

Artificial Intelligence in Medicine, p.165-175

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3T to 7T Whole Brain + Skull MRI Translation with Densely Engineered U-Net Network

Artificial Intelligence in Medicine, p.3-8

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Active learning to improve the detection of unknown computer worms activity

2008 11th International Conference on Information Fusion, 2008, p.1-8

2008

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IEEE_Xplore

Advancements in Non-invasive AI-Powered Glucose Monitoring: Leveraging Multispectral Imaging Across Diverse Wavelengths

Artificial Intelligence in Medicine, p.387-396

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AI in Neuro-Oncology: Predicting EGFR Amplification in Glioblastoma from Whole Slide Images Using Weakly Supervised Deep Learning

Artificial Intelligence in Medicine, p.21-29

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ALDROID: efficient update of Android anti-virus software using designated active learning methods

Knowledge and information systems, 2016-12, Vol.49 (3), p.795-833

2016

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All-cause mortality prediction in T2D patients with iTirps

Artificial intelligence in medicine, 2022-08, Vol.130, p.102325-102325, Article 102325

2022

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Analysis and prediction of unplanned intensive care unit readmission using recurrent neural networks with long short-term memory

PloS one, 2019-07, Vol.14 (7), p.e0218942-e0218942

2019

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Anticipating Stress: Harnessing Biomarker Signals from a Wrist-Worn Device for Early Prediction

Artificial Intelligence in Medicine, p.397-408

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Application of Artificial Neural Networks Techniques to Computer Worm Detection

The 2006 IEEE International Joint Conference on Neural Network Proceedings, 2006, p.2362-2369

2006

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IEEE_Xplore

Applying Gaussian Mixture Model for Clustering Analysis of Emergency Room Patients Based on Intubation Status

Artificial Intelligence in Medicine, p.3-10

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Applying Machine Learning Techniques for Detection of Malicious Code in Network Traffic

KI 2007: Advances in Artificial Intelligence, p.44-50

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Artificial Intelligence in Medicine: 18th International Conference on Artificial Intelligence in Medicine, AIME 2020, Minneapolis, MN, USA, August 25–28, 2020, Proceedings

2021

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Artificial Intelligence in Medicine: 18th International Conference on Artificial Intelligence in Medicine, AIME 2020, Minneapolis, MN, USA, August 25-28, 2020, Proceedings

1st ed. 2020., 2020

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Artificial Intelligence in Medicine: 22nd International Conference, AIME 2024, Salt Lake City, UT, USA, July 9–12, 2024, Proceedings, Part II

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Artificial Intelligence in Medicine: 22nd International Conference, AIME 2024, Salt Lake City, UT, USA, July 9–12, 2024, Proceedings, Part I

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Automated Detection and Characterization of Small Cell Lung Cancer Liver Metastases on CT

Artificial Intelligence in Medicine, p.40-44

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Bayesian Neural Network to Predict Antibiotic Resistance

Artificial Intelligence in Medicine, p.11-16

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Beyond Self-consistency: Ensemble Reasoning Boosts Consistency and Accuracy of LLMs in Cancer Staging

Artificial Intelligence in Medicine, p.224-228

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Boosting Multitask Decomposition: Directness, Sequentiality, Subsampling, Cross-Gradients

Artificial Intelligence in Medicine, p.17-35

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Breast Cancer Subtype Prediction Model Integrating Domain Adaptation with Semi-supervised Learning on DNA Methylation Profiles

Artificial Intelligence in Medicine, p.357-366

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A Chronological Evaluation of Unknown Malcode Detection

Intelligence and Security Informatics, p.112-117

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CI-VAE for Single-Cell: Leveraging Generative-AI to Enhance Disease Understanding

Artificial Intelligence in Medicine, p.367-372

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Classification-driven temporal discretization of multivariate time series

Data mining and knowledge discovery, 2015-07, Vol.29 (4), p.871-913

2015

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Classification of multivariate time series via temporal abstraction and time intervals mining

Knowledge and information systems, 2015-10, Vol.45 (1), p.35-74

2015

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A 360° View for Large Language Models: Early Detection of Amblyopia in Children Using Multi-view Eye Movement Recordings

3T to 7T Whole Brain + Skull MRI Translation with Densely Engineered U-Net Network

Active learning to improve the detection of unknown computer worms activity

Advancements in Non-invasive AI-Powered Glucose Monitoring: Leveraging Multispectral Imaging Across Diverse Wavelengths

AI in Neuro-Oncology: Predicting EGFR Amplification in Glioblastoma from Whole Slide Images Using Weakly Supervised Deep Learning

ALDROID: efficient update of Android anti-virus software using designated active learning methods

All-cause mortality prediction in T2D patients with iTirps

Analysis and prediction of unplanned intensive care unit readmission using recurrent neural networks with long short-term memory

Anticipating Stress: Harnessing Biomarker Signals from a Wrist-Worn Device for Early Prediction

Application of Artificial Neural Networks Techniques to Computer Worm Detection

Applying Gaussian Mixture Model for Clustering Analysis of Emergency Room Patients Based on Intubation Status

Applying Machine Learning Techniques for Detection of Malicious Code in Network Traffic

Artificial Intelligence in Medicine: 18th International Conference on Artificial Intelligence in Medicine, AIME 2020, Minneapolis, MN, USA, August 25–28, 2020, Proceedings

Artificial Intelligence in Medicine: 18th International Conference on Artificial Intelligence in Medicine, AIME 2020, Minneapolis, MN, USA, August 25-28, 2020, Proceedings

Artificial Intelligence in Medicine: 22nd International Conference, AIME 2024, Salt Lake City, UT, USA, July 9–12, 2024, Proceedings, Part II

Artificial Intelligence in Medicine: 22nd International Conference, AIME 2024, Salt Lake City, UT, USA, July 9–12, 2024, Proceedings, Part I

Automated Detection and Characterization of Small Cell Lung Cancer Liver Metastases on CT

Bayesian Neural Network to Predict Antibiotic Resistance

Beyond Self-consistency: Ensemble Reasoning Boosts Consistency and Accuracy of LLMs in Cancer Staging

Boosting Multitask Decomposition: Directness, Sequentiality, Subsampling, Cross-Gradients

Breast Cancer Subtype Prediction Model Integrating Domain Adaptation with Semi-supervised Learning on DNA Methylation Profiles

A Chronological Evaluation of Unknown Malcode Detection

CI-VAE for Single-Cell: Leveraging Generative-AI to Enhance Disease Understanding

Classification-driven temporal discretization of multivariate time series

Classification of multivariate time series via temporal abstraction and time intervals mining

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