Analyzing the dynamics between crude oil spot prices and futures prices by maturity terms: Deep learning approaches to futures-based forecasting by Jeonghoe Lee, Bingjiang Xia

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A comprehensive explainable AI approach for enhancing transparency and interpretability in stroke prediction by Marwa El-Geneedy, Hossam El-Din Moustafa, Hatem Khater, Seham Abd-Elsamee, Samah A. Gamel

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Enhancing Cybersecurity of a Hydroelectric Power Plant Through Digital Twin Modeling and Explainable AI by Ismail Erkek, Erdal Irmak

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Unraveling global malaria incidence and mortality using machine learning and artificial intelligence–driven spatial analysis by Md. Siddikur Rahman, Md. Abu Bokkor Shiddik

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Explainable machine learning for neoplasms diagnosis via electrocardiograms: an externally validated study by Juan Miguel Lopez Alcaraz, Wilhelm Haverkamp, Nils Strodthoff

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Using an Explainable Machine Learning Approach to Produce High‐Resolution Hourly Precipitation Estimates for a Typical Data‐Deficiency Basin by Yi Lyu, Bin Yong

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RuleKit2: Faster and simpler rule learning by Adam Gudyś, Cezary Maszczyk, Joanna Badura, Adam Grzelak, Marek Sikora, Łukasz Wróbel

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Semantic Categories: Uncertainty and Similarity by Ares Fabregat-Hernández, Javier Palanca, Vicent Botti

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Improving the performance of machine learning algorithms for detection of individual pests and beneficial insects using feature selection techniques by Rabiu Aminu, Samantha M. Cook, David Ljungberg, Oliver Hensel, Abozar Nasirahmadi

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Biomarker discovery and development of prognostic prediction model using metabolomic panel in breast cancer patients: a hybrid methodology integrating machine learning and explaina... by Fatma Hilal Yagin, Yasin Gormez, Fahaid Al-Hashem, Irshad Ahmad, Fuzail Ahmad, Luca Paolo Ardigò

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A Study Comparing Explainability Methods: A Medical User Perspective by Matejová Miroslava, Gojdičová Lucia, Paralič Ján

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Explainable models for predicting crab weight based on genetic programming by Tao Shi, Lingcheng Meng, Limiao Deng, Juan Li

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Uncertainty-Aware Predictive Process Monitoring in Healthcare: Explainable Insights into Probability Calibration for Conformal Prediction by Maxim Majlatow, Fahim Ahmed Shakil, Andreas Emrich, Nijat Mehdiyev

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Using Explainable Machine Learning Methods to Predict the Survivability Rate of Pediatric Respiratory Diseases by Roshan Kumar, V Srirama, Krishnaraj Chadaga, H Muralikrishna, Niranjana Sampathila, Srikanth Prabhu, Rajagopala Chadaga

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Solar Power Generation Forecasting in Smart Cities and Explanation Based on Explainable AI by Ovanes Petrosian, Yuyi Zhang

Subjects: “…explainable artificial intelligence…”
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Biasing Rule-Based Explanations Towards User Preferences by Parisa Mahya, Johannes Fürnkranz

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Explainable brain age prediction: a comparative evaluation of morphometric and deep learning pipelines by Maria Luigia Natalia De Bonis, Giuseppe Fasano, Angela Lombardi, Carmelo Ardito, Antonio Ferrara, Eugenio Di Sciascio, Tommaso Di Noia

Subjects: “…EXplainable Artificial Intelligence…”
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Visual explainable artificial intelligence for graph-based visual question answering and scene graph curation by Sebastian Künzel, Tanja Munz-Körner, Pascal Tilli, Noel Schäfer, Sandeep Vidyapu, Ngoc Thang Vu, Daniel Weiskopf

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Advancing crop recommendation system with supervised machine learning and explainable artificial intelligence by Sourabh Shastri, Sachin Kumar, Vibhakar Mansotra, Rohit Salgotra

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A Hybrid Transfer Learning Framework for Brain Tumor Diagnosis by Sadia Islam Tonni, Md. Alif Sheakh, Mst. Sazia Tahosin, Md. Zahid Hasan, Taslima Ferdaus Shuva, Touhid Bhuiyan, Muhammad Ali Abdullah Almoyad, Nabil Anan Orka, Md. Tanvir Rahman, Risala Tasin Khan, M. Shamim Kaiser, Mohammad Ali Moni

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