XAIHO: explainable AI leveraging hybrid optimized framework for liver cirrhosis detection by Prashant Kumar Mishra, Brijesh Kumar Chaurasia, Man Mohan Shukla

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EA-CNN: Enhanced attention-CNN with explainable AI for fruit and vegetable classification by Zeshan Aslam Khan, Muhammad Waqar, Khalid Mehmood Cheema, Ali Abu Bakar Mahmood, Quratul Ain, Naveed Ishtiaq Chaudhary, Abdullah Alshehri, Sultan S. Alshamrani, Muhammad Asif Zahoor Raja

Subjects: “…Explainable AI…”
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SkinSage XAI: An explainable deep learning solution for skin lesion diagnosis by Geetika Munjal, Paarth Bhardwaj, Vaibhav Bhargava, Shivendra Singh, Nimish Nagpal

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Electrical conductivity of the lowermost mantle explains absorption of core torsional waves at the equator by Nathanaël Schaeffer, Dominique Jault

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Predicting coronavirus disease 2019 severity using explainable artificial intelligence techniques by Takuya Ozawa, Shotaro Chubachi, Ho Namkoong, Shota Nemoto, Ryo Ikegami, Takanori Asakura, Hiromu Tanaka, Ho Lee, Takahiro Fukushima, Shuhei Azekawa, Shiro Otake, Kensuke Nakagawara, Mayuko Watase, Katsunori Masaki, Hirofumi Kamata, Norihiro Harada, Tetsuya Ueda, Soichiro Ueda, Takashi Ishiguro, Ken Arimura, Fukuki Saito, Takashi Yoshiyama, Yasushi Nakano, Yoshikazu Muto, Yusuke Suzuki, Ryuya Edahiro, Koji Murakami, Yasunori Sato, Yukinori Okada, Ryuji Koike, Makoto Ishii, Naoki Hasegawa, Yuko Kitagawa, Katsushi Tokunaga, Akinori Kimura, Satoru Miyano, Seishi Ogawa, Takanori Kanai, Koichi Fukunaga, Seiya Imoto

“…This study aimed to establish a simple and accurate predictive model for COVID-19 severity using an explainable machine learning approach. A total of 3,301 patients ≥ 18 years diagnosed with COVID-19 between February 2020 and October 2022 were included. …”
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XElemNet: towards explainable AI for deep neural networks in materials science by Kewei Wang, Vishu Gupta, Claire Songhyun Lee, Yuwei Mao, Muhammed Nur Talha Kilic, Youjia Li, Zanhua Huang, Wei-keng Liao, Alok Choudhary, Ankit Agrawal

“…In this study, we propose XElemNet to explore the interpretability of ElemNet by applying a series of explainable artificial intelligence (XAI) techniques, focusing on post-hoc analysis and model transparency. …”
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A Systematic Review on Application of Multimodal Learning and Explainable AI in Tuberculosis Detection by Barbara Nansamba, Joyce Nakatumba-Nabende, Andrew Katumba, David Patrick Kateete

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Developing an explainable deep learning module based on the LSTM framework for flood prediction by Zhi Zhang, Dagang Wang, Yiwen Mei, Jinxin Zhu, Xusha Xiao

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Explaining the Dimensions of Effective Clinical Evaluation in Medical Education: Medical Students\' Perspectives by Amin Beigzadeh, Sara Heydari

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PDK4 and nutrient responses explain muscle specific manifestation in mitochondrial disease by Swagat Pradhan, Takayuki Mito, Nahid A Khan, Sofiia Olander, Aleksandra Zhaivoron, Thomas G McWilliams, Anu Suomalainen

“…Here, we explore how different muscles of one individual—extraocular muscles (EOMs) and quadriceps femoris (QFs) muscles—respond to mitochondrial disease. The aim is to explain why EOMs atrophy early in the disease, unlike other muscles. …”
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A Capacitor‐Discharge Mechanism to Explain the Timing of Orogeny‐Related Global Glaciations by Manoj M. Joshi, Benjamin J. W. Mills, Martin Johnson

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Correction: Bayesian regression explains how human participants handle parameter uncertainty. by Jannes Jegminat, Maya A Jastrzębowska, Matthew V Pachai, Michael H Herzog, Jean-Pascal Pfister

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Research on the Ability of Geodetic Records to Explain the Slip Distribution of Wenchuan, China, Earthquake by Yin Deyu

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Explainable human-centered traits from head motion and facial expression dynamics. by Surbhi Madan, Monika Gahalawat, Tanaya Guha, Roland Goecke, Ramanathan Subramanian

“…We explore the efficacy of multimodal behavioral cues for explainable prediction of personality and interview-specific traits. …”
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XI2S-IDS: An Explainable Intelligent 2-Stage Intrusion Detection System by Maiada M. Mahmoud, Yasser Omar Youssef, Ayman A. Abdel-Hamid

“…To address these challenges, we introduce the XI2S-IDS framework—an Explainable, Intelligent 2-Stage Intrusion Detection System. …”
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Explainable AI Assisted IoMT Security in Future 6G Networks by Navneet Kaur, Lav Gupta

Subjects: “…explainable AI…”
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xAAD–Post-Feedback Explainability for Active Anomaly Discovery by Damir Kopljar, Vjekoslav Drvar, Jurica Babic, Vedran Podobnik

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Can Predation Pressure Help Explain the Curious Evolution of Ballistic Seed Dispersal? by C. R. Sharpe, G. D. Ruxton

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Improving the explainability of CNN-LSTM-based flood prediction with integrating SHAP technique by Hao Huang, Zhaoli Wang, Yaoxing Liao, Weizhi Gao, Chengguang Lai, Xushu Wu, Zhaoyang Zeng

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Recurrent neural networks with transient trajectory explain working memory encoding mechanisms by Chenghao Liu, Shuncheng Jia, Hongxing Liu, Xuanle Zhao, Chengyu T. Li, Bo Xu, Tielin Zhang

“…Therefore, this study provides evidence supporting the transient activity theory to explain the WM mechanism from the model designing point of view.…”
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