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A Machine Learning-Based Predictive Framework for Patent Infringement Detection - Enhancing Intellectual Property Protection Through Hybrid Ensemble Models
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Representations in Zero-Shot Meta-Reinforcement Learning - Doctoral Thesis
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Enhancing Carbon Capture And CO2 Reduction Processes Using Machine Learning And AI Technologies To Improve Biomedical Outcomes
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Human Cognitive Bias Mitigation Approaches to Fairness within the Machine Learning Value Chain - A Review and Research Agenda
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Investigating Skin Cancer Diagnosis with Machine Learning - A Comparative Study of Feature Selection and Feature Extraction Techniques
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Raman Spectroscopy with Machine Learning in the Assessment of a FIT-Positive Bowel Screening Population - Assessing the Feasibility of Detecting Colorectal Cancer and Adenomas Using Human Serum Samples
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Analysis of the Environmental Impact of Food Production in Indonesia using Machine Learning Models Based on FAO Data
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Cancer Recurrence and Survival Prediction and Evaluation using Machine Learning - Master of Science Thesis
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Enhancing Product Recategorization in the Toys Industry - A Comprehensive Approach Integrating Classification Machine Learning Model and Industry Trend Analysis
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Learning effective machine learning models for clinical applications in psychiatry - Doctor of Philosophy thesis
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Intelligent estimation of critical current density of ReBCO superconductors exposed to irradiation - first machine learning study
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Unsupervised Classification of Binary SMBH Candidates in Gaia DR3 - A Machine Learning Approach to Astrometric Jitter and Cluster-Based Candidate Identification
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Unlocking the Potential of Mg-Doped Rare Earth Manganites - Machine Learning-Guided Synthesis and Insights into Structural and Optical Properties
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Enhancing Sustainable Aquaculture: Applications of Artificial Intelligence in Fish Farming - Master Thesis
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