Validating and enhancing data-driven landslide susceptibility prediction by model explanation and MT-InSAR techniques by Miao Yu, Li Chen, Xuanmei Fan, Peifeng Ma, Shaojie Zhao, Zhongwang Wu, Fan Yang, Longwei Xu, Monan Shan, Xiao Xie, Haowei Zeng, Zhengjia Zhang

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Interpretable machine learning approach for TBM tunnel crown convergence prediction with Bayesian optimization by Wanrui Hu, Kai Wu, Kai Wu, Heng Liu, Weibang Luo, Xingxing Li, Peng Guan

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Dark Side of the Web: Dark Web Classification Based on TextCNN and Topic Modeling Weight by Gun-Yoon Shin, Younghoan Jang, Dong-Wook Kim, Sungjin Park, A-Ran Park, Younghwan Kim, Myung-Mook Han

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Fidex and FidexGlo: From Local Explanations to Global Explanations of Deep Models by Guido Bologna, Jean-Marc Boutay, Damian Boquete, Quentin Leblanc, Deniz Köprülü, Ludovic Pfeiffer

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Data-driven axial compressive strength investigation of FRP-confined coral aggregate concrete by Chang Zhou, Kai-Di Peng, Yu-Lei Bai

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Chemical and biological language models in molecular design: opportunities, risks and scientific reasoning by Jürgen Bajorath

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Toward a fair, gender-debiased classifier for the diagnosis of attention deficit/hyperactivity disorder- a Machine-Learning based classification study by Susanne Neufang, Feifei Li, Atae Akhrif, Oya D. Beyan

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Heuristic XAI: AIME and HMM Integration Improved-Feature-Importance Assessment Through Heuristics by Takafumi Nakanishi, Ponlawat Chophuk, Krisana Chinnasarn

Subjects: “…Approximate inverse model explanations (AIME)…”
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HuberAIME: A Robust Approach to Explainable AI in the Presence of Outliers by Takafumi Nakanishi

Subjects: “…Approximate inverse model explanations…”
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