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Deep learning-based characterization of neutrophil activation phenotypes in ex vivo human Candida blood infections

Computational and structural biotechnology journal, 2024-12, Vol.23, p.1260-1273

2024

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Interpreting artificial intelligence models: a systematic review on the application of LIME and SHAP in Alzheimer’s disease detection

Brain informatics, 2024-12, Vol.11 (1), p.10-10

2024

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Demystifying the black box: an overview of explainability methods in machine learning

International journal of computers & applications, 2024-04, Vol.46 (2), p.90-100

2024

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An Advanced Explainable Belief Rule-Based Framework to Predict the Energy Consumption of Buildings

Energies (Basel), 2024-04, Vol.17 (8), p.1797

2024

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End-to-end deep learning approach to mouse behavior classification from cortex-wide calcium imaging

PLoS computational biology, 2024-03, Vol.20 (3), p.e1011074-e1011074

2024

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Artificial-Intelligence-Based Clinical Decision Support Systems in Primary Care: A Scoping Review of Current Clinical Implementations

European journal of investigation in health, psychology and education, 2024-03, Vol.14 (3), p.685-698

2024

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An Explainable AI Paradigm for Alzheimer's Diagnosis Using Deep Transfer Learning

Diagnostics (Basel), 2024-02, Vol.14 (3), p.345

2024

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Basin-Scale Daily Drought Prediction Using Convolutional Neural Networks in Fenhe River Basin, China

Atmosphere, 2024, Vol.15 (2), p.155

2024

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Toward explainable AI (XAI) for mental health detection based on language behavior

Frontiers in psychiatry, 2023-12, Vol.14, p.1219479-1219479

2023

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Few-shot EEG sleep staging based on transductive prototype optimization network

Frontiers in neuroinformatics, 2023-12, Vol.17, p.1297874-1297874

2023

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Deobfuscating Leetspeak With Deep Learning to Improve Spam Filtering

International journal of interactive multimedia and artificial intelligence, 2023-12, Vol.8 (4), p.46

2023

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A systematic review on machine learning and deep learning techniques in the effective diagnosis of Alzheimer’s disease

Brain informatics, 2023-12, Vol.10 (1), p.17-17, Article 17

2023

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Traffic prediction in SDN for explainable QoS using deep learning approach

Scientific reports, 2023-11, Vol.13 (1), p.20607-20607, Article 20607

2023

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Harmonizing minds and machines: survey on transformative power of machine learning in music

Frontiers in neurorobotics, 2023-11, Vol.17, p.1267561-1267561

Liang, Jing

2023

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Predicting incident cardiovascular disease among African-American adults: A deep learning approach to evaluate social determinants of health in the Jackson heart study

PloS one, 2023-11, Vol.18 (11), p.e0294050-e0294050

2023

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A Deep Diagnostic Framework Using Explainable Artificial Intelligence and Clustering

Diagnostics (Basel), 2023-11, Vol.13 (22), p.3413

2023

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Spatial flood susceptibility mapping using an explainable artificial intelligence (XAI) model

Di xue qian yuan., 2023-11, Vol.14 (6), p.101625, Article 101625

2023

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Uncertainty Quantification When Learning Dynamical Models and Solvers With Variational Methods

Journal of advances in modeling earth systems, 2023-11, Vol.15 (11), p.n/a

2023

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Using Explainability to Inform Statistical Downscaling Based on Deep Learning Beyond Standard Validation Approaches

Journal of advances in modeling earth systems, 2023-11, Vol.15 (11), p.n/a

2023

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The use of artificial intelligence tools in cancer detection compared to the traditional diagnostic imaging methods: An overview of the systematic reviews

PloS one, 2023-10, Vol.18 (10), p.e0292063-e0292063

2023

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Wild salmon enumeration and monitoring using deep learning empowered detection and tracking

Frontiers in Marine Science, 2023-09, Vol.10

2023

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Explainable and secure artificial intelligence: taxonomy, cases of study, learned lessons, challenges and future directions

Enterprise information systems, 2023-09, Vol.17 (9)

2023

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Discovering the mechanism of action of drugs with a sparse explainable network

EBioMedicine, 2023-09, Vol.95, p.104767-104767, Article 104767

2023

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Automatic Cell Counting With YOLOv5: A Fluorescence Microscopy Approach

International journal of interactive multimedia and artificial intelligence, 2023-09, Vol.8 (3), p.64-71

2023

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Estimation of subsurface salinity and analysis of Changjiang diluted water volume in the East China Sea

Frontiers in Marine Science, 2023-08, Vol.10

2023

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Deep learning-based characterization of neutrophil activation phenotypes in ex vivo human Candida blood infections

Interpreting artificial intelligence models: a systematic review on the application of LIME and SHAP in Alzheimer’s disease detection

Demystifying the black box: an overview of explainability methods in machine learning

An Advanced Explainable Belief Rule-Based Framework to Predict the Energy Consumption of Buildings

End-to-end deep learning approach to mouse behavior classification from cortex-wide calcium imaging

Artificial-Intelligence-Based Clinical Decision Support Systems in Primary Care: A Scoping Review of Current Clinical Implementations

An Explainable AI Paradigm for Alzheimer's Diagnosis Using Deep Transfer Learning

Basin-Scale Daily Drought Prediction Using Convolutional Neural Networks in Fenhe River Basin, China

Toward explainable AI (XAI) for mental health detection based on language behavior

Few-shot EEG sleep staging based on transductive prototype optimization network

Deobfuscating Leetspeak With Deep Learning to Improve Spam Filtering

A systematic review on machine learning and deep learning techniques in the effective diagnosis of Alzheimer’s disease

Traffic prediction in SDN for explainable QoS using deep learning approach

Harmonizing minds and machines: survey on transformative power of machine learning in music

Predicting incident cardiovascular disease among African-American adults: A deep learning approach to evaluate social determinants of health in the Jackson heart study

A Deep Diagnostic Framework Using Explainable Artificial Intelligence and Clustering

Spatial flood susceptibility mapping using an explainable artificial intelligence (XAI) model

Uncertainty Quantification When Learning Dynamical Models and Solvers With Variational Methods

Using Explainability to Inform Statistical Downscaling Based on Deep Learning Beyond Standard Validation Approaches

The use of artificial intelligence tools in cancer detection compared to the traditional diagnostic imaging methods: An overview of the systematic reviews

Wild salmon enumeration and monitoring using deep learning empowered detection and tracking

Explainable and secure artificial intelligence: taxonomy, cases of study, learned lessons, challenges and future directions

Discovering the mechanism of action of drugs with a sparse explainable network

Automatic Cell Counting With YOLOv5: A Fluorescence Microscopy Approach

Estimation of subsurface salinity and analysis of Changjiang diluted water volume in the East China Sea

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