PD_EBM: An Integrated Boosting Approach Based on Selective Features for Unveiling Parkinson's Disease Diagnosis With Global and Local Explanations by Fahmida Khanom, Mohammad Shorif Uddin, Rafid Mostafiz

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CIME4R: Exploring iterative, AI-guided chemical reaction optimization campaigns in their parameter space by Christina Humer, Rachel Nicholls, Henry Heberle, Moritz Heckmann, Michael Pühringer, Thomas Wolf, Maximilian Lübbesmeyer, Julian Heinrich, Julius Hillenbrand, Giulio Volpin, Marc Streit

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3MT Competition (EUSIPCO2024): A peek into the black box: Insights into the functionality of complex-valued neural networks for multichannel speech enhancement by Annika Briegleb

Subjects: “…Explainable AI…”
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Survey on explainable knowledge graph reasoning methods by Yi XIA, Mingjng LAN, Xiaohui CHEN, Junyong LUO, Gang ZHOU, Peng HE

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Enhancing misogyny detection in bilingual texts using explainable AI and multilingual fine-tuned transformers by Ehtesham Hashmi, Sule Yildirim Yayilgan, Muhammad Mudassar Yamin, Mohib Ullah

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Clinical validation of explainable AI for fetal growth scans through multi-level, cross-institutional prospective end-user evaluation by Zahra Bashir, Manxi Lin, Aasa Feragen, Kamil Mikolaj, Caroline Taksøe-Vester, Anders Nymark Christensen, Morten B. S. Svendsen, Mette Hvilshøj Fabricius, Lisbeth Andreasen, Mads Nielsen, Martin Grønnebæk Tolsgaard

Subjects: “…Artificial intelligence, Fetal growth scans, Explainable AI, Human-AI collaboration…”
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AI-based analysis of fetal growth restriction in a prospective obstetric cohort quantifies compound risks for perinatal morbidity and mortality and identifies previously unrecogniz... by Raquel M. Zimmerman, Edgar J. Hernandez, Mark Yandell, Martin Tristani-Firouzi, Robert M. Silver, William Grobman, David Haas, George Saade, Jonathan Steller, Nathan R. Blue

Subjects: “…Explainable artificial intelligence…”
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Description-based Post-hoc Explanation for Twitter List Recommendations by Havva Alizadeh Noughabi, Behshid Behkamal, Mohsen Kahani

Subjects: “…explainable recommender systems…”
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Explainable correlation-based anomaly detection for Industrial Control Systems by Ermiyas Birihanu, Imre Lendák

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Advanced sleep disorder detection using multi-layered ensemble learning and advanced data balancing techniques by Muhammad Mostafa Monowar, S. M. Nuruzzaman Nobel, Maharin Afroj, Md Abdul Hamid, Md Zia Uddin, Md Mohsin Kabir, M. F. Mridha

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Feature Selection in Cancer Classification: Utilizing Explainable Artificial Intelligence to Uncover Influential Genes in Machine Learning Models by Matheus Dalmolin, Karolayne S. Azevedo, Luísa C. de Souza, Caroline B. de Farias, Martina Lichtenfels, Marcelo A. C. Fernandes

Subjects: “…explainable AI…”
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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

Subjects: “…student facilitator and explaining…”
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Explainable AI-based suicidal and non-suicidal ideations detection from social media text with enhanced ensemble technique by Daniyal Alghazzawi, Hayat Ullah, Naila Tabassum, Sahar K. Badri, Muhammad Zubair Asghar

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Chinese Chat Room: AI Hallucinations, Epistemology and Cognition by Šekrst Kristina

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Interpretable Classifier Models for Decision Support Using High Utility Gain Patterns by Srikumar Krishnamoorthy

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In‐Situ Rheology Measurements via Machine‐Learning Enhanced Direct‐Ink‐Writing by Robert D. Weeks, Jennifer M. Ruddock, J. Daniel Berrigan, Jennifer A. Lewis, James. O. Hardin

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Deep learning-driven defense strategies for mitigating DDoS attacks in cloud computing environments by Doaa Mohsin Abd Ali Afraji, Jaime Lloret, Lourdes Peñalver

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SmartSkin-XAI: An Interpretable Deep Learning Approach for Enhanced Skin Cancer Diagnosis in Smart Healthcare by Sultanul Arifeen Hamim, Mubasshar U. I. Tamim, M. F. Mridha, Mejdl Safran, Dunren Che

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Credit Risk Modeling Using Interpreted XGBoost by Marcin Hernes, Jędrzej Adaszyński, Piotr Tutak

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Retrospectively understanding the multifaceted interplay of COVID-19 outbreak, air pollution, and sociodemographic factors through explainable AI by Mohmmed Talib, Kripabandhu Ghosh, Gopala Krishna Darbha

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