Design of an Early Prediction Model for Parkinson’s Disease Using Machine Learning by K. Velu, N. Jaisankar

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Skin Lesion Classification Through Test Time Augmentation and Explainable Artificial Intelligence by Loris Cino, Cosimo Distante, Alessandro Martella, Pier Luigi Mazzeo

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Is human-like decision making explainable? Towards an explainable artificial intelligence for autonomous vehicles by Jiming Xie, Yan Zhang, Yaqin Qin, Bijun Wang, Shuai Dong, Ke Li, Yulan Xia

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Integrating Two-Tier Optimization Algorithm With Convolutional Bi-LSTM Model for Robust Anomaly Detection in Autonomous Vehicles by Moneerah Alotaibi, Manal Abdullah Alohali, Khalid Mahmood, Asma A. Alhashmi, Jehad Saad Alqurni, Sultan Refa Alotaibi, Ahmad A. Alzahrani, Imene Issaoui

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Intrusion Detection for Wireless Sensor Network Using Particle Swarm Optimization Based Explainable Ensemble Machine Learning Approach by Shaikh Afnan Birahim, Avijit Paul, Fahmida Rahman, Yamina Islam, Tonmoy Roy, Mohammad Asif Hasan, Fariha Haque, Muhammad E. H. Chowdhury

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Assessing chemical exposure risk in breastfeeding infants: An explainable machine learning model for human milk transfer prediction by Xiaojie Huang, Jiajia Chen, Peineng Liu

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Explainable AI-Based Approach for Age-Related Macular Degeneration (AMD) Detection via Fundus Imaging by Ainhoa Osa-Sanchez, Hossam Magdy Balaha, Ali Mahmoud, Ashraf Sewelam, Mohammed Ghazal, Begonya Garcia-Zapirain, Ayman El-Baz

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From Prediction to Precision: Explainable AI-Driven Insights for Targeted Treatment in Equine Colic by Bekir Cetintav, Ahmet Yalcin

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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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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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Issues and Limitations on the Road to Fair and Inclusive AI Solutions for Biomedical Challenges by Oliver Faust, Massimo Salvi, Prabal Datta Barua, Subrata Chakraborty, Filippo Molinari, U. Rajendra Acharya

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Explainability of Network Intrusion Detection Using Transformers: A Packet-Level Approach by Pahavalan Rajkumardheivanayahi, Ryan Berry, Nicholas U. Costagliola, Lance Fiondella, Nathaniel D. Bastian, Gokhan Kul

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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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An explainable Bi-LSTM model for winter wheat yield prediction by Abhasha Joshi, Biswajeet Pradhan, Subrata Chakraborty, Subrata Chakraborty, Renuganth Varatharajoo, Abdullah Alamri, Shilpa Gite, Chang-Wook Lee

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A Green AI Methodology Based on Persistent Homology for Compressing BERT by Luis Balderas, Miguel Lastra, José M. Benítez

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Explainability of Subfield Level Crop Yield Prediction Using Remote Sensing by Hiba Najjar, Miro Miranda, Marlon Nuske, Ribana Roscher, Andreas Dengel

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Transformer-Based Ionospheric Prediction and Explainability Analysis for Enhanced GNSS Positioning by He-Sheng Wang, Dah-Jing Jwo, Yu-Hsuan Lee

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Development and validation of an explainable machine learning prediction model of hemorrhagic transformation after intravenous thrombolysis in stroke by Yanan Lin, Yan Li, Yayin Luo, Jie Han

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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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