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DLBIRHOUI – Deep Learning Based Image Reconstruction for Hybrid Optoacoustic and Ultrasound Imaging
Deep Learning Based Image Reconstruction for Hybrid Optoacoustic and Ultrasound Imaging
LEAFSIM – AN EXAMPLE-BASED XAI FOR DECISION TREE BASED ENSEMBLE METHODS
Run this blog post as a Jupyter notebook on Renku Summary This blog presents LeafSim, an example-based explainable AI (XAI) technique for decision tree based ensemble methods. The process applies the Hamming distance on leaf indices to measure similarity between...
SEMIRAMIS: a new approach to AI-augmented architectural design
As the world’s cities continue to grow to accommodate an ever-increasing global population, land is becoming increasingly scarce and expensive. However, open space is vital in urban areas. Green areas and healthy vegetation help buffer rising temperatures, sustain...
WHAT YOU SEE IS WHAT YOU CLASSIFY: BLACK BOX ATTRIBUTIONS
In this work, Swiss Data Science Center researchers Steven Stalder, Nathanaël Perraudin, Radhakrishna Achanta, Fernando Perez-Cruz, and Michele Volpi tackle a fundamental problem in modern Artificial Intelligence (AI) and Machine Learning (ML): the lack of...
SUPPORTING AVALANCHE FORECASTING IN THE SWISS ALPS USING MACHINE LEARNING
The creation of avalanche bulletins is still a largely expert driven and manual task. Forecasters manually inspect vast amounts of spatio-temporal data, which describe the condition of the snowpack and of the local weather in the Alps. Based on their intuition and...
DATALAKES: HETEROGENEOUS DATA PLATFORM FOR OPERATIONAL MODELING AND FORECASTING OF SWISS LAKES
Lake ecosystems consist of abundant amounts of spatial and temporal dynamics that are influenced by and affect many ecologically relevant phenomena. Current practices in environmental science rely on manual analysis and can therefore greatly benefit from big data and...