Recent advances in explainable Machine Learning models for wildfire prediction by Abira Sengupta, Brendon J. Woodford

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Weathering heights: An updated analytical model of the nonlinear effects of weather on bicycle traffic by Alexandre Lanvin, Pierre Michel, Jean Charléty, Alexandre Chasse

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Deep Pseudogene Categorization and Genome-Wide Transcription Prediction Using GANP-Based Feature Selection and TabNet Interpretability by Zeeshan Ahmed, Kashif Munir, Muhammad Usama Tanveer, Syed Rizwan Hassan, Ateeq Ur Rehman, Habib Hamam

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Explainable olive grove and grapevine pest forecasting through machine learning-based classification and regression by F. Rodríguez-Díaz, A.M. Chacón-Maldonado, A.R. Troncoso-García, G. Asencio-Cortés

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Employing convolutional neural networks and explainable artificial intelligence for the detection of seizures from electroencephalogram signal by Tamilarasi Kathirvel Murugan, Anush Kameswaran

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Explainable AI-driven intelligent system for precision forecasting in cardiovascular disease by Anas Bilal, Abdulkareem Alzahrani, Khalid Almohammadi, Muhammad Saleem, Muhammad Sajid Farooq, Raheem Sarwar

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Optimized hybrid machine learning framework for early diabetes prediction using electrogastrograms by Paramasivam Alagumariappan, Malathy Sathyamoorthy, Rajesh Kumar Dhanaraj, K. Kamalanand, C. Emmanuel, Sarah Allabun, Manal Othman, Masresha Getahun, Ben Othman Soufiene

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Enhancing Explainable Artificial Intelligence: Using Adaptive Feature Weight Genetic Explanation (AFWGE) with Pearson Correlation to Identify Crucial Feature Groups by Ebtisam AlJalaud, Manar Hosny

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An Explainable Deep Learning-Enhanced IoMT Model for Effective Monitoring and Reduction of Maternal Mortality Risks by Sherine Nagy Saleh, Mazen Nabil Elagamy, Yasmine N. M. Saleh, Radwa Ahmed Osman

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Efficient-Proto-Caps: A Parameter-Efficient and Interpretable Capsule Network for Lung Nodule Characterization by Eduardo M. Rodrigues, Margarida Gouveia, Helder P. Oliveira, Tania Pereira

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An explainable AI framework for spatiotemporal risk factor analysis in public health: a case study of cardiovascular mortality in South Korea by Eunjin Kang, Dongjin Cho, Siwoo Lee, Jungho Im, Dongwook Lee, Cheolhee Yoo

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Advancing CVD Risk Prediction with Transformer Architectures and Statistical Risk Factor Filtering by Parul Dubey, Pushkar Dubey, Pitshou N. Bokoro

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Analyzing the Adversarial Robustness and Interpretability of Deep SAR Classification Models: A Comprehensive Examination of Their Reliability by Tianrui Chen, Limeng Zhang, Weiwei Guo, Zenghui Zhang, Mihai Datcu

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Strategies for applying interpretable and explainable AI in real world IoT applications by Anber Abraheem Shlash Mohammad, Suleiman Ibrahim Shelash Mohammad, Badrea Al Oraini, Asokan Vasudevan, Ayman Hindieh, Ali Altarawneh, Muhammad Turki Alshurideh, Imad Ali

Subjects: “…Explainable Artificial Intelligence (XAI)…”
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Landslide susceptibility assessment through multi-model stacking and meta-learning in Poyang County, China by Yong Song, Yingxu Song, Chengnan Wang, Linwei Wu, Weicheng Wu, Yuan Li, Sicheng Li, Aiqing Chen

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Mobile Robot Positioning with Wireless Fidelity Fingerprinting and Explainable Artificial Intelligence by Hüseyin Abacı, Ahmet Çağdaş Seçkin

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Optimization of Table Tennis Swing Action Supported by the Temporal Convolutional Network Algorithm in Deep Learning by Shaoxuan Sun, Hongyu Zheng, Zhixin Lin

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Prediction of the strength characteristics of basalt fibre reinforced concrete using explainable machine learning models by B. Y. Wickramasuriya, Yasitha Alahakoon, B. R. G. A. Krishantha, Janaka Alawatugoda, I. U. Ekanayake

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Decoding Human Facial Emotions: A Ranking Approach Using Explainable AI by Sudheer Babu Punuri, Sanjay Kumar Kuanar, Tusar Kanti Mishra, Veeranki Venkata Rama Maheswara Rao, Shiva Shankar Reddy

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Fully Interpretable Deep Learning Model Using IR Thermal Images for Possible Breast Cancer Cases by Yerken Mirasbekov, Nurduman Aidossov, Aigerim Mashekova, Vasilios Zarikas, Yong Zhao, Eddie Yin Kwee Ng, Anna Midlenko

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