Data Science Projects
The scope of these Collaborative Data Science Projects is representative of the diversity of the research undertaken within the ETH Domain, with the University of Bern, and with external partners.
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IRMA
In Progress
Interpretable and Robust Machine Learning for Mobility Analysis
Engineering
ArcticNAP
Completed
Arctic climate change: Exploring the Natural Aerosol baseline for improved model Predictions
Energy, Climate & Environment
SEMIRAMIS
Completed
AI-augmented Architectural Design
Engineering
RED-ML
Completed
Reduction of high volume experimental data using machine learning
Large-scale Infrastructures
MLTox
Completed
Enhancing toxicological testing through machine learning
Energy, Climate & Environment
MACH-Flow
Completed
Machine learning for Swiss river flow estimation
Energy, Climate & Environment
DeepCloud
Completed
A data-driven sub-grid parametrization for complex terrain
Energy, Climate & Environment
4D-Brains
Completed
Extracting Activity from Large 4D Whole-Brain Image Datasets
Biomedical Data Science
DDForms
Completed
Data driven fast optimization of resonant metamaterial structures
Engineering
SMARTAIR
Completed
Self-guided Machine Learning Algorithms for Real-Time Assimilation, Interpolation and Rendering of Flow Data
Engineering
NLP
Completed
Narratives in Law and Politics: A Computational Linguistics Approach
Digital Administration
PolyNet
Completed
Exploring disease trajectories and outcome prediction using novel methods in network analysis and machine learning
Biomedical Data Science
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