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An Ambidextrous Perspective on Machine Learning Development and Operation - The Nexus of Organizational Structure, Tensions, and Tactics - Completed Research Paper
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An Ambidextrous Perspective on Machine Learning Development and Operation - The Nexus of Organizational Structure, Tensions, and Tactics - Completed Research Paper

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Computational Notebooks as Co-Design Tools - Engaging Young Adults Living with Diabetes, Family Carers, and Clinicians with Machine Learning Models
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Computational Notebooks as Co-Design Tools - Engaging Young Adults Living with Diabetes, Family Carers, and Clinicians with Machine Learning Models

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The Work of Students and ChatGPT Compared - Using Machine Learning to Detect and Characterize AI-Generated Text
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The Work of Students and ChatGPT Compared - Using Machine Learning to Detect and Characterize AI-Generated Text

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Machine Learning for Seismic Data Analysis and Processing
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Machine Learning for Seismic Data Analysis and Processing

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Machine learning based lineage tree reconstruction improved with knowledge of higher level relationships between cells and genomic barcodes - Research paper summary
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Machine learning based lineage tree reconstruction improved with knowledge of higher level relationships between cells and genomic barcodes - Research paper summary

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Accelerating Discovery of Vacancy Ordered 18-Valence Electron Half-Heusler Compounds - A Synergistic Approach of Machine Learning and Density Functional Theory
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Accelerating Discovery of Vacancy Ordered 18-Valence Electron Half-Heusler Compounds - A Synergistic Approach of Machine Learning and Density Functional Theory

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Identification of the Role of Immune-Related Genes in the Diagnosis of Bipolar Disorder with Metabolic Syndrome - Through Machine Learning and Comprehensive Bioinformatics Analysis
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Identification of the Role of Immune-Related Genes in the Diagnosis of Bipolar Disorder with Metabolic Syndrome - Through Machine Learning and Comprehensive Bioinformatics Analysis

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Discovery of novel acetylcholinesterase inhibitors through integration of machine learning with genetic algorithm based in silico screening approaches
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Discovery of novel acetylcholinesterase inhibitors through integration of machine learning with genetic algorithm based in silico screening approaches

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A Comparison of Global and Local Statistical and Machine Learning Techniques in Estimating Flash Flood Susceptibility
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A Comparison of Global and Local Statistical and Machine Learning Techniques in Estimating Flash Flood Susceptibility

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Comparison of Machine Learning Approaches for Physiological States Classification Using Heart Rate and Pulse Rate Variability Indices
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Comparison of Machine Learning Approaches for Physiological States Classification Using Heart Rate and Pulse Rate Variability Indices

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Semantic Guided Multi-Future Human Motion Prediction - Master’s Thesis
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Semantic Guided Multi-Future Human Motion Prediction - Master’s Thesis

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Too much information is no information - how machine learning and feature selection could help in understanding the motor control of pointing
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Too much information is no information - how machine learning and feature selection could help in understanding the motor control of pointing

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A Methodology Based on Quality Gates for Certifiable AI in Medicine - Towards a Reliable Application of Metrics in Machine Learning
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A Methodology Based on Quality Gates for Certifiable AI in Medicine - Towards a Reliable Application of Metrics in Machine Learning

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Early detection of inflammatory arthritis to improve referrals using multimodal machine learning from blood testing, semi-structured and unstructured patient records - Proceedings
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Early detection of inflammatory arthritis to improve referrals using multimodal machine learning from blood testing, semi-structured and unstructured patient records - Proceedings

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Mean Absolute Directional Loss as a New Loss Function - for Machine Learning Problems in Algorithmic Investment Strategies
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Mean Absolute Directional Loss as a New Loss Function - for Machine Learning Problems in Algorithmic Investment Strategies

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