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Risk of recurrence after discontinuing anticoagulation in patients with COVID-19- associated venous thromboembolism: a prospective multicentre cohort studyResearch in context

EClinicalMedicine, 2024-07, Vol.73, p.102659

2024

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Computational framework for the evaluation of the composition and degradation state of metal heritage assets by deep learning

Journal of cultural heritage, 2023-11, Vol.64, p.198-206

2023

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A Machine Learning hourly analysis on the relation the Ionosphere and Schumann Resonance Frequency

Measurement : journal of the International Measurement Confederation, 2023-02, Vol.208, p.112426, Article 112426

2023

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Machine Learning Models for Depression Detection Using the Concept of Perceived Control

Advances in Computational Intelligence, 2023, Vol.14135

2023

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A Deep Neural Network for G-Quadruplexes Binding Proteins Classification

Advances in Computational Intelligence, 2023, Vol.14134

2023

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Identification of Benign Tumor Masses Using Deep Learning Techniques Based on Semantic Segmentation

Advances in Computational Intelligence, p.529-540

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Deep Learning-Based Approach for Sleep Apnea Detection Using Physiological Signals

Advances in Computational Intelligence, 2023, Vol.14134

2023

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Towards a Voxelized Semantic Representation of the Workspace of Mobile Robots

Advances in Computational Intelligence, 2023, Vol.14135

2023

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Identification of Benign Tumor Masses Using Deep Learning Techniques Based on Semantic Segmentation

Advances in Computational Intelligence, 2023, Vol.14134

2023

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Machine Learning for 4.0 Industry Solutions

Advances in Computational Intelligence, 2023, Vol.14135

2023

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Intro

Advances in Computational Intelligence, 2023, Vol.14134

2023

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SIA-SMOTE: A SMOTE-Based Oversampling Method with Better Interpolation on High-Dimensional Data by Using a Siamese Network

Advances in Computational Intelligence, p.448-460

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Long-Term Hail Risk Assessment with Deep Neural Networks

Advances in Computational Intelligence, p.288-301

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Time Series Forecasting with Quantum Neural Networks

Advances in Computational Intelligence, p.666-677

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Energy-Aware KNN for EEG Classification: A Case Study in Heterogeneous Platforms

Advances in Computational Intelligence, p.505-516

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Photovoltaic Energy Prediction Using Machine Learning Techniques

Advances in Computational Intelligence, p.577-587

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Pedestrian Multi-object Tracking Algorithm Based on Attention Feature Fusion

Advances in Computational Intelligence, 2023, Vol.14134

2023

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Toward Early Stopping Detection for Non-binary c-VEP-Based BCIs: A Pilot Study

Advances in Computational Intelligence, 2023, Vol.14135

2023

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Contents – Part II

Advances in Computational Intelligence, 2023, Vol.14134

2023

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Effects of Stimulus Sequences on Brain-Computer Interfaces Using Code-Modulated Visual Evoked Potentials: An Offline Simulation

Advances in Computational Intelligence, 2023, Vol.14135

2023

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Adversarial Attacks on Leakage Detectors in Water Distribution Networks

Advances in Computational Intelligence, p.451-463

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Detection and Visualization of User Facial Expressions

Advances in Computational Intelligence, 2023, Vol.14135

2023

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Unsupervised Topic Modeling with BERTopic for Coarse and Fine-Grained News Classification

Advances in Computational Intelligence, 2023, Vol.14134

2023

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Scalable Convolutional Neural Networks for Decoding of Terminated Convolutional Codes

Advances in Computational Intelligence, 2023, Vol.14134

2023

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Advances in Computational Intelligence: 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19–21, 2023, Proceedings, Part I

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Risk of recurrence after discontinuing anticoagulation in patients with COVID-19- associated venous thromboembolism: a prospective multicentre cohort studyResearch in context

Computational framework for the evaluation of the composition and degradation state of metal heritage assets by deep learning

A Machine Learning hourly analysis on the relation the Ionosphere and Schumann Resonance Frequency

Machine Learning Models for Depression Detection Using the Concept of Perceived Control

A Deep Neural Network for G-Quadruplexes Binding Proteins Classification

Identification of Benign Tumor Masses Using Deep Learning Techniques Based on Semantic Segmentation

Deep Learning-Based Approach for Sleep Apnea Detection Using Physiological Signals

Towards a Voxelized Semantic Representation of the Workspace of Mobile Robots

Identification of Benign Tumor Masses Using Deep Learning Techniques Based on Semantic Segmentation

Machine Learning for 4.0 Industry Solutions

Intro

SIA-SMOTE: A SMOTE-Based Oversampling Method with Better Interpolation on High-Dimensional Data by Using a Siamese Network

Long-Term Hail Risk Assessment with Deep Neural Networks

Time Series Forecasting with Quantum Neural Networks

Energy-Aware KNN for EEG Classification: A Case Study in Heterogeneous Platforms

Photovoltaic Energy Prediction Using Machine Learning Techniques

Pedestrian Multi-object Tracking Algorithm Based on Attention Feature Fusion

Toward Early Stopping Detection for Non-binary c-VEP-Based BCIs: A Pilot Study

Contents – Part II

Effects of Stimulus Sequences on Brain-Computer Interfaces Using Code-Modulated Visual Evoked Potentials: An Offline Simulation

Adversarial Attacks on Leakage Detectors in Water Distribution Networks

Detection and Visualization of User Facial Expressions

Unsupervised Topic Modeling with BERTopic for Coarse and Fine-Grained News Classification

Scalable Convolutional Neural Networks for Decoding of Terminated Convolutional Codes

Advances in Computational Intelligence: 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19–21, 2023, Proceedings, Part I

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