Proposals

Comparing different pre-training strategies for transfer learning in medical imaging Estimating the impact of Kaggle classification challenges Finding hidden features responsible for machine learning failures Reproducibility and Testing of Computational Storage Concept Bottleneck Models to detect hidden features or avoid memorization Medical Visual Question Answering Efficient Spatial Data Loading for Data Science Cubesat LoRa module DISCO-1 operations and groundstation DISCO-2 camera control and image acquisition DISCO-2 image processing and machine learning pipeline Responsible implementation AI-based radiological protocol recommendation in Denmark Analysis of Checkpointing during Deep Learning Model Training Flexible Data Placement on SSDs for Database Systems Incremental Model Updates on Tiny Hardware Managing Experimental Data with DuckDB Resource Management on Tiny Hardware

Projects