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Automatic Control of Linear Particle Accelerators with Machine Learning Methods
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Machine learning based predictive model and genetic mutation landscape for high-grade colorectal neuroendocrine carcinoma - SEER database analysis with external validation
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Dude - Dual Distribution-Aware Context Prompt Learning For Large Vision-Language Model - Abstract
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Advancing breast cancer prediction - machine learning, data balancing, and ant colony optimization
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On Principled Modeling of Inductive Bias in Machine Learning - Dissertation
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Uncovering the Limits of Machine Learning for Automatic Vulnerability Detection
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Adaptive optimization for prediction with missing data
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Advancing Terrestrial Snow Depth Monitoring with Machine Learning and L-band InSAR Data - A Case Study Using NASA’s SnowEx 2017 Data
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Machine Learning Microfluidic based platform - Integration of Lab-on-Chip devices and data analysis algorithms for Red Blood Cell plasticity evaluation in Pyruvate Kinase Disease monitoring - Submitted to Sensors and Actuators A: Physical
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Automated post-run analysis of arrayed quantitative PCR amplification curves using machine learning
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Assessing the spatial-temporal performance of machine learning in predicting grapevine water status from Landsat 8 imagery - block-out and date-out cross-validation
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On Search Space Constraining Methods for Automatic Composition and Optimisation of Machine Learning Pipelines - PhD thesis
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Machine Learning Strategies for Enhancing Reconstruction and Classification in Diffuse Optical Tomography and Photoacoustic Tomography for Ovarian and Breast Cancer
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Machine Learning Strategies for Enhancing Reconstruction and Classification in Diffuse Optical Tomography and Photoacoustic Tomography for Ovarian and Breast Cancer - Dissertation
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