Data Science Lab

Awards

Scientific Committee Award

  • Peter Jeszenszky et al., "Reduction of survey sites in dialectology: a new methodology based on clustering".

Audience Awards

  • Negar Emami et al., "Reinforcement-supported Artificial Neural Network-based Trajectory Prediction".

  • Lucas Pacheco et al.,"Distributed and Federated Learning Optimization with Federated Clustering of IID-users".

  • Linda Studer et al.,"Unsupervised Domain Adaptation for Colorectal Cancer Tissue Classification Using Self-supervised Deep Learning Methods and Sparsely-labeled Data".

  • Gabriele Birindelli et al.,"PBPK-based in silico tumor microenvironment model for PSMA-directed radioligand therapy".