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Explainability and Transparency of Classifiers for Air-Handling Unit Faults Using Explainable Artificial Intelligence (XAI)

Sensors (Basel, Switzerland), 2022-08, Vol.22 (17), p.6338

2022

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Explainable Artificial Intelligence (XAI) in Pain Research: Understanding the Role of Electrodermal Activity for Automated Pain Recognition

Sensors (Basel, Switzerland), 2023-02, Vol.23 (4), p.1959

2023

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XAI Framework for Cardiovascular Disease Prediction Using Classification Techniques

Electronics (Basel), 2022-12, Vol.11 (24), p.4086

2022

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Using XAI for Deep Learning-Based Image Manipulation Detection with Shapley Additive Explanation

Symmetry (Basel), 2022-08, Vol.14 (8), p.1611

2022

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Justifying Arabic Text Sentiment Analysis Using Explainable AI (XAI): LASIK Surgeries Case Study

Information (Basel), 2022-11, Vol.13 (11), p.536

2022

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Symbolic AI for XAI: Evaluating LFIT Inductive Programming for Explaining Biases in Machine Learning

Computers (Basel), 2021-11, Vol.10 (11), p.154

2021

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Classification of Skin Cancer Lesions Using Explainable Deep Learning

Sensors (Basel, Switzerland), 2022-09, Vol.22 (18), p.6915

2022

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Computer Aided Diagnosis of Melanoma Using Deep Neural Networks and Game Theory: Application on Dermoscopic Images of Skin Lesions

International journal of molecular sciences, 2022-11, Vol.23 (22), p.13838

2022

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Explainable Artificial Intelligence Reveals Novel Insight into Tumor Microenvironment Conditions Linked with Better Prognosis in Patients with Breast Cancer

Cancers, 2021-07, Vol.13 (14), p.3450

2021

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Investigating Explainability Methods in Recurrent Neural Network Architectures for Financial Time Series Data

Applied sciences, 2022-02, Vol.12 (3), p.1427

2022

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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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Detecting Deepfake Voice Using Explainable Deep Learning Techniques

Applied sciences, 2022-04, Vol.12 (8), p.3926

2022

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Attention Deep Feature Extraction from Brain MRIs in Explainable Mode: DGXAINet

Diagnostics (Basel), 2023-02, Vol.13 (5), p.859

Taşcı, Burak

2023

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Endoscopic Image Classification Based on Explainable Deep Learning

Sensors (Basel, Switzerland), 2023-03, Vol.23 (6), p.3176

2023

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COVID-19 Detection on Chest X-ray and CT Scan: A Review of the Top-100 Most Cited Papers

Sensors (Basel, Switzerland), 2022-09, Vol.22 (19), p.7303

2022

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Explaining and Visualizing Embeddings of One-Dimensional Convolutional Models in Human Activity Recognition Tasks

Sensors (Basel, Switzerland), 2023-04, Vol.23 (9), p.4409

2023

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Optimisation of Deep Learning Small-Object Detectors with Novel Explainable Verification

Sensors (Basel, Switzerland), 2022-07, Vol.22 (15), p.5596

2022

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A Decision Support System for Diagnosis of COVID-19 from Non-COVID-19 Influenza-like Illness Using Explainable Artificial Intelligence

Bioengineering (Basel), 2023-03, Vol.10 (4), p.439

2023

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Explainable Artificial Intelligence Enabled TeleOphthalmology for Diabetic Retinopathy Grading and Classification

Applied sciences, 2022-09, Vol.12 (17), p.8749

2022

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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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Explainable Stacking-Based Model for Predicting Hospital Readmission for Diabetic Patients

Information (Basel), 2022-09, Vol.13 (9), p.436

2022

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RaKShA: A Trusted Explainable LSTM Model to Classify Fraud Patterns on Credit Card Transactions

Mathematics (Basel), 2023-04, Vol.11 (8), p.1901

2023

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A Multimodal Knowledge-Based Deep Learning Approach for MGMT Promoter Methylation Identification

Journal of imaging, 2022-12, Vol.8 (12), p.321

2022

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Cancer Cell Profiling Using Image Moments and Neural Networks with Model Agnostic Explainability: A Case Study of Breast Cancer Histopathological (BreakHis) Database

Mathematics (Basel), 2021-10, Vol.9 (20), p.2616

2021

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A Wheat Spike Detection Method in UAV Images Based on Improved YOLOv5

Remote sensing (Basel, Switzerland), , Vol.13 (16), p.3095

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Explainability and Transparency of Classifiers for Air-Handling Unit Faults Using Explainable Artificial Intelligence (XAI)

Explainable Artificial Intelligence (XAI) in Pain Research: Understanding the Role of Electrodermal Activity for Automated Pain Recognition

XAI Framework for Cardiovascular Disease Prediction Using Classification Techniques

Using XAI for Deep Learning-Based Image Manipulation Detection with Shapley Additive Explanation

Justifying Arabic Text Sentiment Analysis Using Explainable AI (XAI): LASIK Surgeries Case Study

Symbolic AI for XAI: Evaluating LFIT Inductive Programming for Explaining Biases in Machine Learning

Classification of Skin Cancer Lesions Using Explainable Deep Learning

Computer Aided Diagnosis of Melanoma Using Deep Neural Networks and Game Theory: Application on Dermoscopic Images of Skin Lesions

Explainable Artificial Intelligence Reveals Novel Insight into Tumor Microenvironment Conditions Linked with Better Prognosis in Patients with Breast Cancer

Investigating Explainability Methods in Recurrent Neural Network Architectures for Financial Time Series Data

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

Detecting Deepfake Voice Using Explainable Deep Learning Techniques

Attention Deep Feature Extraction from Brain MRIs in Explainable Mode: DGXAINet

Endoscopic Image Classification Based on Explainable Deep Learning

COVID-19 Detection on Chest X-ray and CT Scan: A Review of the Top-100 Most Cited Papers

Explaining and Visualizing Embeddings of One-Dimensional Convolutional Models in Human Activity Recognition Tasks

Optimisation of Deep Learning Small-Object Detectors with Novel Explainable Verification

A Decision Support System for Diagnosis of COVID-19 from Non-COVID-19 Influenza-like Illness Using Explainable Artificial Intelligence

Explainable Artificial Intelligence Enabled TeleOphthalmology for Diabetic Retinopathy Grading and Classification

A Deep Diagnostic Framework Using Explainable Artificial Intelligence and Clustering

Explainable Stacking-Based Model for Predicting Hospital Readmission for Diabetic Patients

RaKShA: A Trusted Explainable LSTM Model to Classify Fraud Patterns on Credit Card Transactions

A Multimodal Knowledge-Based Deep Learning Approach for MGMT Promoter Methylation Identification

Cancer Cell Profiling Using Image Moments and Neural Networks with Model Agnostic Explainability: A Case Study of Breast Cancer Histopathological (BreakHis) Database

A Wheat Spike Detection Method in UAV Images Based on Improved YOLOv5

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