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SLIDE-x-ML - System-Level Infrastructure for Dataset E-xtraction and Machine Learning Framework for High-Level Synthesis Estimations

SLIDE-x-ML - System-Level Infrastructure for Dataset E-xtraction and Machine Learning Framework for High-Level Synthesis Estimations

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A comparison of statistical and machine learning models for spatio-temporal prediction of ambient air pollutant concentrations in Scotland

A comparison of statistical and machine learning models for spatio-temporal prediction of ambient air pollutant concentrations in Scotland

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Machine learning-based anti-cancer drug treatment optimization - Dissertation

Machine learning-based anti-cancer drug treatment optimization - Dissertation

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Bringing Machine-Learning Enhanced Quantum Chemistry and Microwave Spectroscopy to Conformational Landscape Exploration - the Paradigmatic Case of 4-Fluoro-Threonine

Bringing Machine-Learning Enhanced Quantum Chemistry and Microwave Spectroscopy to Conformational Landscape Exploration - the Paradigmatic Case of 4-Fluoro-Threonine

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Implementation of an AI-based Model for Detecting Speed Variations by Means of Spectrogram Images for New Magnetic Tapes Preservation Strategies - Thesis Summary

Implementation of an AI-based Model for Detecting Speed Variations by Means of Spectrogram Images for New Magnetic Tapes Preservation Strategies - Thesis Summary

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Women in Leadership, Skilled Workforce, and Firm Performance in Bangladesh - A Machine Learning Analysis on Enterprise Survey Data

Women in Leadership, Skilled Workforce, and Firm Performance in Bangladesh - A Machine Learning Analysis on Enterprise Survey Data

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Performing Automatic Identiﬁcation and Staging of Urothelial Carcinoma in Bladder Cancer Patients Using a Hybrid Deep-Machine Learning Approach

Performing Automatic Identiﬁcation and Staging of Urothelial Carcinoma in Bladder Cancer Patients Using a Hybrid Deep-Machine Learning Approach

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Predicting humoral responses to primary and booster SARS-CoV-2 mRNA vaccination in people living with HIV - a machine learning approach

Predicting humoral responses to primary and booster SARS-CoV-2 mRNA vaccination in people living with HIV - a machine learning approach

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Machine Learning-Based Prediction of Glioma IDH Gene Mutation Status Using Physio-Metabolic MRI of Oxygen Metabolism and Neovascularization - A Bicenter Study

Machine Learning-Based Prediction of Glioma IDH Gene Mutation Status Using Physio-Metabolic MRI of Oxygen Metabolism and Neovascularization - A Bicenter Study

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COMPARISON OF MACHINE LEARNING TECHNIQUES FOR CLASSIFICATION OF DISTRIBUTED DENIAL OF SERVICE ATTACKS - BASED ON FEATURE ENGINEERING IN SDN-BASED NETWORKS

COMPARISON OF MACHINE LEARNING TECHNIQUES FOR CLASSIFICATION OF DISTRIBUTED DENIAL OF SERVICE ATTACKS - BASED ON FEATURE ENGINEERING IN SDN-BASED NETWORKS

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From electrons to phase diagrams with classical and machine learning potentials - automated workflows for materials science with pyiron

From electrons to phase diagrams with classical and machine learning potentials - automated workflows for materials science with pyiron

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NEWTON’S METHOD AND ITS HYBRID WITH MACHINE LEARNING FOR NAVIER-STOKES DARCY MODELS DISCRETIZED BY MIXED ELEMENT METHODS

NEWTON’S METHOD AND ITS HYBRID WITH MACHINE LEARNING FOR NAVIER-STOKES DARCY MODELS DISCRETIZED BY MIXED ELEMENT METHODS

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Development of a decision-making module in the field of real estate rental using machine learning methods

Development of a decision-making module in the field of real estate rental using machine learning methods

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A Data-Driven Supervised Machine Learning Approach to Estimating Global Ambient Air Pollution Concentrations - With Associated Prediction Intervals

A Data-Driven Supervised Machine Learning Approach to Estimating Global Ambient Air Pollution Concentrations - With Associated Prediction Intervals

Machine Learning for Predictable Design of Yeast Promoters

Machine Learning for Predictable Design of Yeast Promoters

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