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EXPLAINABLE ARTIFICIAL INTELLIGENCE, XAI 2025, PT III

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论文数20
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期刊论文 20
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Large Language Models as Attribution Regularizers for Efficient Model Training大型语言模型作为归因正则化器用于高效模型训练
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deleteVukadin, Davor; Silic, Marin; Delac, Goran
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Uncovering the Structure of Explanation Quality with Spectral Analysis利用谱分析揭示解释质量的结构
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deleteMaess, Johannes; Montavon, Gregoire; Nakajima, Shinichi; Mueller, Klaus-Robert; Schnake, Thomas
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Which Direction to Choose? An Analysis on the Representation Power of Self-Supervised ViTs in Downstream Tasks选择哪个方向？关于自监督视觉变换器（ViTs）在下游任务中表征能力的分析
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deleteKaltampanidis, Yannis; Doumanoglou, Alexandros; Zarpalas, Dimitrios
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Unsupervised and Interpretable Detection of User Personalities in Online Social Networks在线社交网络中用户人格的无监督与可解释检测
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deleteCascione, Alessio; Pollacci, Laura; Guidotti, Riccardo
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An Interpretable Data-Driven Approach for Modeling Toxic Users via Feature Extraction基于特征提取的用于建模有害用户的数据驱动可解释方法
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deletePollacci, Laura; Gneri, Jacopo; Guidotti, Riccardo
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Assessing and Quantifying Perceived Trust in Interpretable Clinical Decision Support评估和量化可解释临床决策支持中的感知信任
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deleteOnari, Mohsen Abbaspour; Grau, Isel; Zhang, Chao; Nobile, Marco S.; Zhang, Yingqian
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Explainable Optimization: Leveraging Large Language Models for User-Friendly Explanations可解释优化：利用大型语言模型实现用户友好型解释
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deleteBiemans, Bram; Troubil, Pavel; Grau, Isel; Nuijten, Wim P. M.
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GraphXAIN: Narratives to Explain Graph Neural NetworksGraphXAIN：解释图神经网络的故事
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deleteCedro, Mateusz; Martens, David
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Consolidating Explanation Stability Metrics整合解释稳定性指标
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deleteBogaert, Jeremie; Descampe, Antonin; Standaerti, Francois-Xavier
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MSL: Multi-class Scoring Lists for Interpretable Incremental Decision-MakingMSL: 多类评分列表用于可解释的增量决策制定
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deleteHeid, Stefan; Kornowicz, Jaroslaw; Hanselle, Jonas; Thommes, Kirsten; Huellermeier, Eyke
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XpertAI: Uncovering Regression Model Strategies for Sub-manifoldsXpertAI：揭示子流形回归模型的策略
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deleteLetzgus, Simon; Muller, Klaus-Robert; Montavon, Gregoire
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From Input to Insight: Probing the Reasoning of Attention-Based MIL Models从输入到见解：探查基于注意力的MIL模型的推理
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deleteTomaszewska, Paulina; Gozdera, Michal; Sienkiewicz, Elzbieta; Biecek, Przemyslaw
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Reasoning-Grounded Natural Language Explanations for Language Models基于推理的自然语言解释用于语言模型
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deleteCahlik, Vojtech; Alves, Rodrigo; Kordik, Pavel
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Metric-Guided Synthesis for Class Activation Mapping度量引导合成用于类激活映射
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deleteLuque-Cerpa, Alejandro; Polgreen, Elizabeth; Rajan, Ajitha; Torfahl, Hazem
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Interpretable World Model Imaginations as Deep Reinforcement Learning Explanation可解释的世界模型想象作为深度强化学习解释
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deleteWenninghoff, Nils; Schwammberger, Maike
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An XAI-Based Analysis of Shortcut Learning in Neural Networks基于XAI的神经网络捷径学习分析
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deletePhuong Quynh Le; Schloetterer, Joerg; Seifert, Christin
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When Can You Trust Your Explanations? A Robustness Analysis on Feature Importances
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deleteVascotto, Ilaria; Rodriguez, Alex; Bonaita, Alessandro; Bortolussi, Luca
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Latent Space Interpretation and Mechanistic Clipping of Subject-Specific Variational Autoencoders of EEG Topographic Maps for Artefacts ReductionEEG地形图主题特定变分自编码器的潜在空间解释与机制性裁剪用于伪迹减少
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deleteAhmed, Taufique; Biecek, Przemyslaw; Longo, Luca
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What's Wrong with Your Synthetic Tabular Data? Using Explainable AI to Evaluate Generative Models
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deleteKapar, Jan; Koenen, Niklas; Jullum, Martin
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XAIEV - A Framework for the Evaluation of XAI-Algorithms for Image ClassificationXAIEV - 一种用于评估图像分类中可解释人工智能算法的框架
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deleteKnoll, Carsten; Ullrich, Julian; Manjooran, Thomas; Goeller, Kilian; Amjad, Haadia; Tetzlaff, Ronald; Seitz, Steffen
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