Explainable AI-driven assessment of hydro climatic interactions shaping river discharge dynamics in a monsoonal basin by Prashant Parasar, Akhouri Pramod Krishna

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Optimizing Renewable Energy Systems Placement Through Advanced Deep Learning and Evolutionary Algorithms by Konstantinos Stergiou, Theodoros Karakasidis

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Enhancing the interpretability of electricity consumption forecasting models for mining enterprises using SHapley Additive exPlanations by Pavel V. Matrenin, Alina I. Stepanova

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Integration of Explainable Artificial Intelligence into Hybrid Long Short-Term Memory and Adaptive Kalman Filter for Sulfur Dioxide (SO₂) Prediction in Kimberley, South... by Israel Edem Agbehadji, Ibidun Christiana Obagbuwa

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A Meta-Learning-Based Ensemble Model for Explainable Alzheimer’s Disease Diagnosis by Fatima Hasan Al-bakri, Wan Mohd Yaakob Wan Bejuri, Mohamed Nasser Al-Andoli, Raja Rina Raja Ikram, Hui Min Khor, Zulkifli Tahir, The Alzheimer’s Disease Neuroimaging Initiative

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Cloud-based real-time enhancement for disease prediction using Confluent Cloud, Apache Kafka, feature optimization, and explainable artificial intelligence by Abdulaziz AlMohimeed

Subjects: “…Feature optimization explainable artificial intelligence…”
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Nomological Deductive Reasoning for Trustworthy, Human-Readable, and Actionable AI Outputs by Gedeon Hakizimana, Agapito Ledezma Espino

Subjects: “…explainable Artificial Intelligence (XAI)…”
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Support of individual educational trajectories based on the concept of explainable artificial intelligence by I. G. Zakharova, M. S. Vorobeva, Yu. V. Boganyuk

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Explainable AI-Driven Quantum Deep Neural Network for Fault Location in DC Microgrids by Amir Hossein Poursaeed, Farhad Namdari

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ALL diagnosis: can efficiency and transparency coexist? An explainble deep learning approach by Dost Muhammad, Muhammad Salman, Ayse Keles, Malika Bendechache

Subjects: “…Explainable artificial intelligence…”
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LISE: A Logic-Based Interactive Similarity Explainer for Clusters of RDF Data by Simona Colucci, Francesco Maria Donini, Verdiana Schena, Floriano Scioscia, Eugenio Di Sciascio

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An explainable unsupervised learning approach for anomaly detection on corneal in vivo confocal microscopy images by Ningning Tang, Qi Chen, Yunyu Meng, Daizai Lei, Li Jiang, Yikun Qin, Xiaojia Huang, Fen Tang, Shanshan Huang, Qianqian Lan, Qi Chen, Lijie Huang, Rushi Lan, Xipeng Pan, Huadeng Wang, Fan Xu, Wenjing He

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Editorial: Machine-learning/deep-learning methods in neuromarketing and consumer neuroscience by Marco Bilucaglia, Marco Bilucaglia, Luca Mainardi, Thomas Zoëga Ramsøy, Thomas Zoëga Ramsøy, Paul J. Zak, Paul J. Zak, Margherita Zito, Margherita Zito, Vincenzo Russo, Vincenzo Russo

Subjects: “…XAI and explainable artificial intelligence…”
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A Comprehensive Review of Explainable Artificial Intelligence (XAI) in Computer Vision by Zhihan Cheng, Yue Wu, Yule Li, Lingfeng Cai, Baha Ihnaini

Subjects: “…explainable artificial intelligence (XAI)…”
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A KAN-based interpretable framework for prediction of global warming potential across chemical space by Jaewook Lee, Xinyang Sun, Ethan Errington, Calum Drysdale, Miao Guo

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Explainable Anomaly Detection Based on Operational Sequences in Industrial Control Systems by Ka-Kyung Kim, Joon-Seok Kim, Ieck-Chae Euom

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Improved CKD classification based on explainable artificial intelligence with extra trees and BBFS by Ahmed M. Elshewey, Enas Selem, Amira Hassan Abed

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Beyond Global Metrics: The U-Smile Method for Explainable, Interpretable, and Transparent Variable Selection in Risk Prediction Models by Katarzyna B. Kubiak, Agata Konieczna, Anna Tyranska-Fobke, Barbara Więckowska

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Spotting Leaders in Organizations with Graph Convolutional Networks, Explainable Artificial Intelligence, and Automated Machine Learning by Yunbo Xie, Jose D. Meisel, Carlos A. Meisel, Juan Jose Betancourt, Jianqi Yan, Roberto Bugiolacchi

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A Novel Explainable Attention-Based Meta-Learning Framework for Imbalanced Brain Stroke Prediction by Inam Abousaber

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