An interpretable semi‐supervised system for detecting cyberattacks using anomaly detection in industrial scenarios by Ángel Luis Perales Gómez, Lorenzo Fernández Maimó, Alberto Huertas Celdrán, Félix J. García Clemente

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Deep learning model based prediction of vehicle CO2 emissions with eXplainable AI integration for sustainable environment by Gazi Mohammad Imdadul Alam, Sharia Arfin Tanim, Sumit Kanti Sarker, Yutaka Watanobe, Rashedul Islam, M. F. Mridha, Kamruddin Nur

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Advanced R-GAN: Generating anomaly data for improved detection in imbalanced datasets using regularized generative adversarial networks by Junhak Lee, Dayeon Jung, Jihoon Moon, Seungmin Rho

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Towards Transparent AI in Medicine: ECG-Based Arrhythmia Detection with Explainable Deep Learning by Oleksii Kovalchuk, Oleksandr Barmak, Pavlo Radiuk, Liliana Klymenko, Iurii Krak

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Exploration of deep-learning-based dose rate estimation model for a large-volume plastic scintillation detector by Byoungil Jeon, Jisung Hwang, Myungkook Moon

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Explainable AI in Diagnostic Radiology for Neurological Disorders: A Systematic Review, and What Doctors Think About It by Yasir Hafeez, Khuhed Memon, Maged S. AL-Quraishi, Norashikin Yahya, Sami Elferik, Syed Saad Azhar Ali

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A human-on-the-loop approach for labelling seismic recordings from landslide site via a multi-class deep-learning based classification model by Jiaxin Jiang, David Murray, Vladimir Stankovic, Lina Stankovic, Clement Hibert, Stella Pytharouli, Jean-Philippe Malet

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Optimizing Hydrogen Production in the Co-Gasification Process: Comparison of Explainable Regression Models Using Shapley Additive Explanations by Thavavel Vaiyapuri

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Current state and promise of user-centered design to harness explainable AI in clinical decision-support systems for patients with CNS tumors by Eric W. Prince, Eric W. Prince, Eric W. Prince, David M. Mirsky, David M. Mirsky, Todd C. Hankinson, Todd C. Hankinson, Carsten Görg, Carsten Görg

Subjects: “…explainable artificial intelligence (XAI)…”
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Integrating Two-Tier Optimization Algorithm With Convolutional Bi-LSTM Model for Robust Anomaly Detection in Autonomous Vehicles by Moneerah Alotaibi, Manal Abdullah Alohali, Khalid Mahmood, Asma A. Alhashmi, Jehad Saad Alqurni, Sultan Refa Alotaibi, Ahmad A. Alzahrani, Imene Issaoui

Subjects: “…INDEX TERMS Explainable artificial intelligence…”
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From Prediction to Precision: Explainable AI-Driven Insights for Targeted Treatment in Equine Colic by Bekir Cetintav, Ahmet Yalcin

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Human interpretable structure-property relationships in chemistry using explainable machine learning and large language models by Geemi P. Wellawatte, Philippe Schwaller

“…Abstract Explainable Artificial Intelligence (XAI) is an emerging field in AI that aims to address the opaque nature of machine learning models. …”
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Explainable machine learning for modeling of net ecosystem exchange in boreal forests by E. Ezhova, T. Laanti, A. Lintunen, P. Kolari, T. Nieminen, I. Mammarella, K. Heljanko, K. Heljanko, M. Kulmala

“…Our results highlight the importance of explainable artificial intelligence methods for interpreting outcomes from machine learning models, particularly when a set containing interdependent variables is used as a model input.…”
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Enhancing Rehabilitation Assessment with Artificial Intelligence: A Comprehensive Investigation of Posture Quality Prediction Using Machine Learning by Zhang Wenxi

“…Techniques such as Explainable Artificial Intelligence (XAI), transfer learning, and privacy-preserving machine learning can be a way to unlock the limitations of adopting AI techniques in a wider range of rehabilitation settings. …”
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An Explainable Stacked Ensemble Model for Static Route-Free Estimation of Time of Arrival by Sören Schleibaum, Jörg P. Müller, Monika Sester

“…To alleviate this, we investigate explainable artificial intelligence (XAI) methods for explaining the first- and second-level models of the ensemble. …”
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A Comprehensive Survey of Deep Learning Approaches in Image Processing by Maria Trigka, Elias Dritsas

“…Additionally, it highlights the potential of combining DL with emerging technologies such as edge computing and explainable artificial intelligence (AI) to address scalability and interpretability challenges. …”
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Tree-Based Algorithms and Incremental Feature Optimization for Fault Detection and Diagnosis in Photovoltaic Systems by Khaled Chahine

“…This study then incorporates Explainable Artificial Intelligence (XAI), utilizing LIME and SHAP analyzers to validate the research findings. …”
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Convolutional neural network prediction of the particle size distribution of soil from close-range images by Enrico Soranzo, Carlotta Guardiani, Wei Wu

“…Additionally, we applied explainable artificial intelligence techniques to enhance the transparency and interpretability of the model’s predictions. …”
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A Scalable Ensemble Learning-Based Model for Optimal Placement of Circuit Breaker and Sectionalizer in Power Distribution Systems with the Aim of Reliability Improvement by Mehrdad Ebrahimi, Mohammad Rastegar

“…This paper proposes employing ensemble learning methods and explainable artificial intelligence tools to build an accurate data-driven model. …”
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Towards Transparent Diabetes Prediction: Combining AutoML and Explainable AI for Improved Clinical Insights by Raza Hasan, Vishal Dattana, Salman Mahmood, Saqib Hussain

“…This study integrates Automated Machine Learning (AutoML) with Explainable Artificial Intelligence (XAI) to improve diabetes risk prediction and enhance model interpretability for healthcare professionals. …”
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