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Does Continual Learning Equally Forget All Parameters? - Forgetting Prioritized Finetuning(FPF)与k-FPF方法
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XAI Beyond Classification - Interpretable Neural Clustering
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The Galaxy Activity, Torus, and Outflow Survey (GATOS) - VI. Black hole mass estimation using machine learning
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ENHANCEMENT OF RAINFALL PREDICTION AND SATELLITE PRECIPITATION ESTIMATES: A MACHINE LEARNING APPROACH FOR UNITED ARAB EMIRATES - Doctorate Dissertation
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A Robust Machine Learning Framework for Fraudulent Mobile App Detection - VFAST Transactions on Software Engineering Volume 12 - Issue 4 - October-December 2024
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Machine Learning-based Brain Tumor Segmentation - A Comprehensive Review
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Machine Learning Techniques for the Prediction of Indoor Gamma-ray Dose Rates - Strengths, Weaknesses and implications for Epidemiology
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Machine Learning Analysis of Informal Minibus Taxi Driving
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A systematic review of Machine Learning and Deep Learning approaches in Mexico: challenges and opportunities
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Utilizing machine-learning techniques on MRI radiomics to identify primary tumors in brain metastases
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Earthquake forecast by imbalance machine learning using geophysical predictors
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Data-driven interpretable machine learning for prediction of porosity and permeability of tight sandstone reservoir - research paper
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SIBILA - Automated Machine-Learning-Based Development of Interpretable Machine-Learning Models on High-Performance Computing Platforms
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Prediction of Hotspots in Injection Moulding - Using Simulation, In-mould Sensors, and Machine Learning
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