PENINGKATAN PRESTASI BELAJAR IPA MELALUI PEMBELAJARAN KOOPERATIF TIPE STUDENT FACILITATOR AND EXPLAINING SISWA KELAS IXE SMP NEGERI 01 WONOASRI KABUPATEN MADIUN TAHUN PELAJARAN 201... by Suhendariyanti Suhendariyanti

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PENGARUH MODEL PEMBELAJARAN PROBLEM BASED LEARNING DIPADU STUDENT FACILITATOR AND EXPLAINING TERHADAP KEMAMPUAN BERPIKIR KRITIS SISWA KELAS X SMAN 6 KEDIRI PADA POKOK BAHASAN FUNGI by M. Agung Setiawan

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The Turing Test and the Issue of Trust in AI Systems by Stacewicz Paweł, Sołoducha Krzysztof

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On explaining recommendations with Large Language Models: a review by Alan Said

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Explainable Security Requirements Classification Through Transformer Models by Luca Petrillo, Fabio Martinelli, Antonella Santone, Francesco Mercaldo

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Generating Explanations for Autonomous Robots: A Systematic Review by David Sobrin-Hidalgo, Angel Manuel Guerrero-Higueras, Vicente Matellan-Olivera

Subjects: “…Explainability…”
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Explainable AI for DeepFake Detection by Nazneen Mansoor, Alexander I. Iliev

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Balancing Explainability and Privacy in Bank Failure Prediction: A Differentially Private Glass-Box Approach by Junyoung Byun, Jaewook Lee, Hyeongyeong Lee, Bumho Son

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XAI-Enhanced Machine Learning for Obesity Risk Classification: A Stacking Approach With LIME Explanations by Mohammad Azad, Md Faraz Kabir Khan, Sameh Abd El-Ghany

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Computer-aided cholelithiasis diagnosis using explainable convolutional neural network by Dheeraj Kumar, Mayuri A. Mehta, Ketan Kotecha, Ambarish Kulkarni

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Factors influencing trust in algorithmic decision-making: an indirect scenario-based experiment by Fernando Marmolejo-Ramos, Rebecca Marrone, Malgorzata Korolkiewicz, Florence Gabriel, George Siemens, Srecko Joksimovic, Yuki Yamada, Yuki Mori, Talal Rahwan, Maria Sahakyan, Belona Sonna, Assylbek Meirmanov, Aidos Bolatov, Bidisha Som, Izuchukwu Ndukaihe, Nwadiogo C. Arinze, Josef Kundrát, Lenka Skanderová, Van-Giang Ngo, Giang Nguyen, Michelle Lacia, Chun-Chia Kung, Meiselina Irmayanti, Meiselina Irmayanti, Abdul Muktadir, Fransiska Timoria Samosir, Marco Tullio Liuzza, Roberto Giorgini, Omid Khatin-Zadeh, Hassan Banaruee, Asil Ali Özdoğru, Kris Ariyabuddhiphongs, Wachirawit Rakchai, Natalia Trujillo, Stella Maris Valencia, Armina Janyan, Armina Janyan, Kiril Kostov, Pedro R. Montoro, Jose Hinojosa, Jose Hinojosa, Kelsey Medeiros, Thomas E. Hunt, Julian Posada, Raquel Meister Ko Freitag, Julian Tejada

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Explainable analysis of infrared and visible light image fusion based on deep learning by Bo Yuan, Hongyu Sun, YinJing Guo, Qiang Liu, Xinghao Zhan

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Integrating spatial-temporal risk maps with candidate trajectory trees for explainable autonomous driving planning by Qiyuan Liu, Jiawei Zhang, Jingwei Ge, Cheng Chang, Zhiheng Li, Shen Li, Li Li

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An LSTM approach to deciphering irrigation operations from remote sensing and groundwater levels records by Shiqi Wei, Tianfang Xu

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Global-Mapping-Consistency-Constrained Visual-Semantic Embedding for Interpreting Autonomous Perception Models by Chi Zhang, Meng Yuan, Xiaoning Ma, Ping Wei, Yuanqi Su, Li Li, Yuehu Liu

Subjects: “…Explainable AI evaluation…”
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Advancing Model Explainability: Visual Concept Knowledge Distillation for Concept Bottleneck Models by Ju-Hwan Lee, Dang Thanh Vu, Nam-Kyung Lee, Il-Hong Shin, Jin-Young Kim

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From physical activity patterns to cognitive status: development and validation of novel digital biomarkers for cognitive assessment in older adults by Ling-Jie Fan, Feng-Yi Wang, Jun-Han Zhao, Jun-Jie Zhang, Yang-An Li, Jia Tang, Tao Lin, Quan Wei

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Explainable Self-Supervised Dynamic Neuroimaging Using Time Reversal by Zafar Iqbal, Md. Mahfuzur Rahman, Usman Mahmood, Qasim Zia, Zening Fu, Vince D. Calhoun, Sergey Plis

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A Study on the Application of Explainable AI on Ensemble Models for Predictive Analysis of Chronic Kidney Disease by K. M. Tawsik Jawad, Anusha Verma, Fathi Amsaad, Lamia Ashraf

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Shear Wave Velocity Prediction with Hyperparameter Optimization by Gebrail Bekdaş, Yaren Aydın, Umit Işıkdağ, Sinan Melih Nigdeli, Dara Hajebi, Tae-Hyung Kim, Zong Woo Geem

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