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Enhancing Babies’ Sleep Schedule Prediction through Machine Learning - Master Thesis - June 2024

Enhancing Babies’ Sleep Schedule Prediction through Machine Learning - Master Thesis - June 2024

Towards Data-efficient Machine Learning Systems - Dissertation

Towards Data-efficient Machine Learning Systems - Dissertation

Machine learning prediction of nanofluid thermal and flow characteristics - Doctor of Philosophy thesis submission

Machine learning prediction of nanofluid thermal and flow characteristics - Doctor of Philosophy thesis submission

Machine Learning Workflows for Chemistry: Applications in Catalysis and Ionic Liquids

Machine Learning Workflows for Chemistry: Applications in Catalysis and Ionic Liquids

Protein Engineering of Amine Transaminases and Methyltransferases using Machine Learning and High-Throughput Screening Tools - Inaugural Dissertation zur Erlangung des akademischen Grades eines Doktors der Naturwissenschaften (Dr. rer. nat.)

Protein Engineering of Amine Transaminases and Methyltransferases using Machine Learning and High-Throughput Screening Tools - Inaugural Dissertation zur Erlangung des akademischen Grades eines Doktors der Naturwissenschaften (Dr. rer. nat.)

CANEDERLI - On The Impact of Adversarial Training and Transferability on CAN Intrusion Detection Systems

CANEDERLI - On The Impact of Adversarial Training and Transferability on CAN Intrusion Detection Systems

Machine Learning Aided Uncertainty Quantification for Engineering Structures - Thesis

Machine Learning Aided Uncertainty Quantification for Engineering Structures - Thesis

SYNERGIZING CAUSAL INFERENCE AND MACHINE LEARNING FOR ACTIONABLE INFERENCE

SYNERGIZING CAUSAL INFERENCE AND MACHINE LEARNING FOR ACTIONABLE INFERENCE

Detecting Refactoring Commits in Machine Learning Python Projects - A Machine Learning-Based Approach

Detecting Refactoring Commits in Machine Learning Python Projects - A Machine Learning-Based Approach

The role of hyperparameters in machine learning models and how to tune them - Research Note

The role of hyperparameters in machine learning models and how to tune them - Research Note

Forecasting Gender in Open Education Competencies - A Machine Learning Approach

Forecasting Gender in Open Education Competencies - A Machine Learning Approach

Assessing the Reliability of Machine Learning Models Applied to the Mental Health Domain Using Explainable AI

Assessing the Reliability of Machine Learning Models Applied to the Mental Health Domain Using Explainable AI

Forecasting Bitcoin returns - Econometric time series analysis vs. machine learning

Forecasting Bitcoin returns - Econometric time series analysis vs. machine learning

Sparse Parameterisations For Efficient Machine Learning Algorithms

Sparse Parameterisations For Efficient Machine Learning Algorithms

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A comparative study of machine learning tools for detecting Trojan horse infections in cloud computing environments

A comparative study of machine learning tools for detecting Trojan horse infections in cloud computing environments