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Found 5 papers, 1 papers with code
Topological data analysis identifies emerging adaptive mutations in SARS-CoV-2
By leveraging the stratification by time in sequence data, our method enables the high-resolution longitudinal analysis of topological signals of adaptation.
On the Robustness of Active Learning
Active Learning is concerned with the question of how to identify the most useful samples for a Machine Learning algorithm to be trained with.
Fast Object Classification and Meaningful Data Representation of Segmented Lidar Instances
Object detection algorithms for Lidar data have seen numerous publications in recent years, reporting good results on dataset benchmarks oriented towards automotive requirements.
FLIC: Fast Lidar Image Clustering
Lidar sensors are widely used in various applications, ranging from scientific fields over industrial use to integration in consumer products.
Fast and Reliable Architecture Selection for Convolutional Neural Networks
The performance of a Convolutional Neural Network (CNN) depends on its hyperparameters, like the number of layers, kernel sizes, or the learning rate for example.
