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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Deciphering Immunometabolic Landscape in Rheumatoid Arthritis: Integrative Multiomics, Explainable Machine Learning and Experimental Validation by Dong Q, Wu J, Zhang H, Chen X, Xu X, Chen J, Shi C, Luo L, Zhang D

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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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An Explainable Artificial Intelligence Model for the Classification of Breast Cancer by Tarek Khater, Abir Hussain, Riyad Bendardaf, Iman M. Talaat, Hissam Tawfik, Sam Ansari, Soliman Mahmoud

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Explainable artificial intelligence with fusion-based transfer learning on adverse weather conditions detection using complex data for autonomous vehicles by Khaled Tarmissi, Hanan Abdullah Mengash, Noha Negm, Yahia Said, Ali M. Al-Sharafi

Subjects: “…explainable artificial intelligence…”
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A Perspective on Explainable Artificial Intelligence Methods: SHAP and LIME by Ahmed M. Salih, Zahra Raisi‐Estabragh, Ilaria Boscolo Galazzo, Petia Radeva, Steffen E. Petersen, Karim Lekadir, Gloria Menegaz

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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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Zipper Pattern: An Investigation into Psychotic Criminal Detection Using EEG Signals by Gulay Tasci, Prabal Datta Barua, Dahiru Tanko, Tugce Keles, Suat Tas, Ilknur Sercek, Suheda Kaya, Kubra Yildirim, Yunus Talu, Burak Tasci, Filiz Ozsoy, Nida Gonen, Irem Tasci, Sengul Dogan, Turker Tuncer

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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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Predicting penetration depth in ultra-high-performance concrete targets under ballistic impact: An interpretable machine learning approach augmented by deep generative adversarial... by Majid Khan, Muhammad Faisal Javed, Nashwan Adnan Othman, Sardar Kashif Ur Rehman, Furqan Ahmad

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Advanced Learning Technologies for Intelligent Transportation Systems: Prospects and Challenges by Ruhul Amin Khalil, Ziad Safelnasr, Naod Yemane, Mebruk Kedir, Atawulrahman Shafiqurrahman, NASIR SAEED

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A Comparative Analysis of Explainable Artificial Intelligence Models for Electric Field Strength Prediction over Eight European Cities by Yiannis Kiouvrekis, Ioannis Givisis, Theodor Panagiotakopoulos, Ioannis Tsilikas, Agapi Ploussi, Ellas Spyratou, Efstathios P. Efstathopoulos

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Peering into the Heart: A Comprehensive Exploration of Semantic Segmentation and Explainable AI on the MnMs-2 Cardiac MRI Dataset by Ayoob Mohamed, Nettasinghe Oshan, Sylvester Vithushan, Bowala Helmini, Mohideen Hamdaan

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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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Probabilistic Forecasting of Ground Magnetic Perturbation Spikes at Mid‐Latitude Stations by Michael Coughlan, Amy Keesee, Victor Pinto, Raman Mukundan, José Paulo Marchezi, Jeremiah Johnson, Hyunju Connor, Don Hampton

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Decoding brain tumor insights: Evaluating CAM variants with 3D U-Net for segmentation by Dian Nova Kusuma Hardani, Igi Ardiyanto, Hanung Adi Nugroho

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