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Enhancing Feature Selection in High-Dimensional Data with Fuzzy Fitness-Integrated Memetic Algorithms

IEEE access, 2024-09, p.1-1

2024

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Machine Learning Based Network Intrusion Detection Optimization for Cloud Computing Environments

IEEE transactions on consumer electronics, 2024-09, p.1-1

2024

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Model-Agnostic Interpretation via Feature Perturbation Visualization

2023 36th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), 2023, p.19-24

2023

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Adapting Computational Skills for AI Integration

2024 36th International Conference on Software Engineering Education and Training (CSEE&T), 2024, p.1-5

2024

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Floating-point photonic iterative solver demonstrated for Newton–Raphson method

Applied physics letters, 2024-09, Vol.125 (12)

2024

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Integrative residue-intuitive machine learning and MD Approach to Unveil Allosteric Site and Mechanism for β2AR

Nature communications, 2024-09, Vol.15 (1), p.8130

2024

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Data-driven discovery of potent small molecule ice recrystallisation inhibitors

Nature communications, 2024-09, Vol.15 (1), p.8082, Article 8082

2024

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Ensemble machine learning framework for predicting maternal health risk during pregnancy

Scientific reports, 2024-09, Vol.14 (1), p.21483-20, Article 21483

2024

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Bayesian optimized multimodal deep hybrid learning approach for tomato leaf disease classification

Scientific reports, 2024-09, Vol.14 (1), p.21525-30, Article 21525

2024

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Machine Learning-Optimized Wearable Antenna for LoRa Localization

IEEE access, 2024-09, p.1-1

2024

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Classification of cervical vertebral maturation stages with machine learning models: leveraging datasets with high inter- and intra-observer agreement

Progress in orthodontics, 2024-09, Vol.25 (1), p.35, Article 35

2024

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Machine learning based classification of presence utilizing psychophysiological signals in immersive virtual environments

Scientific reports, 2024-01, Vol.14 (1), p.21667

2024

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Prediction of early clinical response to neoadjuvant chemotherapy in Triple-negative breast cancer: Incorporating Radiomics through breast MRI

Scientific reports, 2024-01, Vol.14 (1), p.21691

2024

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Automated Detection of Anemia in Small Ruminants Using Non-Invasive Visual Analysis Based on BIC Descriptor

2023 36th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), 2023, p.241-245

2023

Volltextzugriff (PDF)

MP-SPILDL: A Massively Parallel Inductive Logic Learner in Description Logic

IEEE access, 2024-09, p.1-1

Algahtani, Eyad

2024

Volltextzugriff (PDF)

Advancing Manufacturing Through Artificial Intelligence: Current Landscape, Perspectives, Best Practices, Challenges and Future Direction

IEEE access, 2024-09, p.1-1

2024

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Use machine learning to predict pulmonary metastasis of esophageal cancer: a population-based study

Journal of cancer research and clinical oncology, 2024-09, Vol.150 (9), p.420, Article 420

2024

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OptDevNet: A Optimized Deep Event-based Network Framework for Credit Card Fraud Detection

IEEE access, 2024-09, p.1-1

2024

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RTAP: A Real-time Model for Attack Detection and Prediction in Smart Grid Systems

IEEE access, 2024-09, p.1-1

2024

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Intelligence computational analysis of letrozole solubility in supercritical solvent via machine learning models

Scientific reports, 2024-01, Vol.14 (1), p.21677

2024

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Machine learning-assisted dual-atom sites design with interpretable descriptors unifying electrocatalytic reactions

Nature communications, 2024-01, Vol.15 (1), p.8169

2024

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A Shark Inspired Ensemble Deep Learning Stacks for Ensuring the Security in Internet of Things (IoT)-Based Smart City Infrastructure

International journal of computational intelligence systems, 2024-09, Vol.17 (1)

2024

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Prediction of Breast cancer survivability using semi supervised machine learning framework

2024 Third International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN), 2024, p.1-6

2024

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Explaining Supervisor Set for Machine Learning Methods

2024 International Joint Conference on Neural Networks (IJCNN), 2024, p.1-8

2024

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Federated Learning: Challenges, SoTA, Performance Improvements and Application Domains

IEEE open journal of the Communications Society, 2024-09, p.1-1

2024

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Enhancing Feature Selection in High-Dimensional Data with Fuzzy Fitness-Integrated Memetic Algorithms

Machine Learning Based Network Intrusion Detection Optimization for Cloud Computing Environments

Model-Agnostic Interpretation via Feature Perturbation Visualization

Adapting Computational Skills for AI Integration

Floating-point photonic iterative solver demonstrated for Newton–Raphson method

Integrative residue-intuitive machine learning and MD Approach to Unveil Allosteric Site and Mechanism for β2AR

Data-driven discovery of potent small molecule ice recrystallisation inhibitors

Ensemble machine learning framework for predicting maternal health risk during pregnancy

Bayesian optimized multimodal deep hybrid learning approach for tomato leaf disease classification

Machine Learning-Optimized Wearable Antenna for LoRa Localization

Classification of cervical vertebral maturation stages with machine learning models: leveraging datasets with high inter- and intra-observer agreement

Machine learning based classification of presence utilizing psychophysiological signals in immersive virtual environments

Prediction of early clinical response to neoadjuvant chemotherapy in Triple-negative breast cancer: Incorporating Radiomics through breast MRI

Automated Detection of Anemia in Small Ruminants Using Non-Invasive Visual Analysis Based on BIC Descriptor

MP-SPILDL: A Massively Parallel Inductive Logic Learner in Description Logic

Advancing Manufacturing Through Artificial Intelligence: Current Landscape, Perspectives, Best Practices, Challenges and Future Direction

Use machine learning to predict pulmonary metastasis of esophageal cancer: a population-based study

OptDevNet: A Optimized Deep Event-based Network Framework for Credit Card Fraud Detection

RTAP: A Real-time Model for Attack Detection and Prediction in Smart Grid Systems

Intelligence computational analysis of letrozole solubility in supercritical solvent via machine learning models

Machine learning-assisted dual-atom sites design with interpretable descriptors unifying electrocatalytic reactions

A Shark Inspired Ensemble Deep Learning Stacks for Ensuring the Security in Internet of Things (IoT)-Based Smart City Infrastructure

Prediction of Breast cancer survivability using semi supervised machine learning framework

Explaining Supervisor Set for Machine Learning Methods

Federated Learning: Challenges, SoTA, Performance Improvements and Application Domains

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