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- 2020
- Record linkage in the Cape of Good Hope Panel (
- A novel method for daylight harvesting optimization based on lighting simulation and data-driven optimal control (
- Land cover and land use classification performance of machine learning algorithms in a boreal landscape using Sentinel-2 data (
- Improving risk prediction in heart failure using machine learning (
- AI, Big Data, e-Health and the Right to be Forgotten (
- Introducing reinforcement learning to the energy system design process (
- Denoising of Scintillation Camera Images Using a Deep Convolutional Neural Network : A Monte Carlo Simulation Approach (
- Imaging biomarkers in neurodegeneration : Current and future practices (
- Automatic Classification of Swedish Metadata Using Dewey Decimal Classification : A Comparison of Approaches (
- Automatic discovery of resource-restricted Convolutional Neural Network topologies for myoelectric pattern recognition (
- Content and Resource Management in Edge Networks (
- Crystal centering using deep learning in X-ray crystallography (
- A machine learning based approach for determining the stress-strain relation of grey cast iron from nanoindentation (
- Automated CPE Labeling of CVE Summaries with Machine Learning (
- Application of Advanced Machine Learning Algorithms to Assess Groundwater Potential Using Remote Sensing-Derived Data (
- Data-driven software design with Constraint Oriented Multi-variate Bandit Optimization (COMBO) (
- Using machine learning to enrich building databases : Methods for tailored energy retrofits (
- A new efficient method to detect genetic interactions for lung cancer GWAS (
- Artificial neural networks improve early outcome prediction and risk classification in out-of-hospital cardiac arrest patients admitted to intensive care (
- Using the modis sensor for snow cover modeling and the assessment of drought effects on snow cover in a mountainous area (
- Dijet Resonance Search with Weak Supervision Using s =13 TeV pp Collisions in the ATLAS Detector (
- Chronological age assessment in young individuals using bone age assessment staging and nonradiological aspects : Machine learning multifactorial approach (
- Comparison of Different Methods for Spatial Downscaling of GPM IMERG V06B Satellite Precipitation Product Over a Typical Arid to Semi-Arid Area (
- 2019
- High-level software requirements and iteration changes : a predictive model (
- Skin Sensitization Testing-What's Next? (
- Human–Robot Interaction Based on Motion and Force Control (
- The Impact of Local Taxes and Public Services on Property Values (
- Essays in Applied Microeconomics (
- Building Knowledge Graphs : Processing Infrastructure and Named Entity Linking (
- Artificial neural networks improve and simplify intensive care mortality prognostication: a national cohort study of 217,289 first-time intensive care unit admissions (
- ProTstab - Predictor for cellular protein stability (
- Artificial Intelligence for Aortic Pressure Waveform Analysis During Coronary Angiography : Machine Learning for Patient Safety (
- Pulsed Millimeter Wave Radar for Hand Gesture Sensing and Classification (
- 2018
- Placement Optimization in Refugee Resettlement (
- Refugee resettlement via machine learning and integer optimization (
- A machine learning approach to fault detection in district heating substations (
- Automatic classification using DDC on the Swedish union catalogue (
- Applying Entrepreneurial Teaching Methods to Advanced Technical STEM Courses (
- Law, Society and Digital Platforms: Normative Aspects of Large-scale Data-Driven Tech Companies (
- Record linkage in the Cape of Good Hope Panel (
- A search space strategy for pedestrian detection and localization in world coordinates (
- Using machine learning to detect events in eye-tracking data (
- Automatic hand phantom map generation and detection using decomposition support vector machines (
- Clinical Value of RNA Sequencing–Based Classifiers for Prediction of the Five Conventional Breast Cancer Biomarkers: A Report From the Population-Based Multicenter Sweden Cancerome Analysis Network—Breast Initiative (
- 2017
- Application of random forest and generalised linear model and their hybrid methods with geostatistical techniques to count data : Predicting sponge species richness (
- Spatial modelling and simulation for disease surveillance (
- StanceXplore: Visualization for the Interactive Exploration of Stance in Social Media (
- Predicting likelihood of requirement implementation within the planned iteration : An empirical study at IBM (
- Early metabolic markers identify potential targets for the prevention of type 2 diabetes (
- Working toward precision medicine : Predicting phenotypes from exomes in the Critical Assessment of Genome Interpretation (CAGI) challenges (