11 citations · 20 across the 9 of their papers we have counts for
3 papers · 1 filter
Robust Learning Protocol for Federated Tumor Segmentation Challenge
Ambrish Rawat, Giulio Zizzo, Swanand Kadhe +2
In this work, we devise robust and efficient learning protocols for orchestrating a Federated Learning (FL) process for the Federated Tumor Segmentation Challenge (FeTS 2022). Enab…
Reinforcement Learning with Algorithms from Probabilistic Structure Estimation
Jonathan P. Epperlein, Roman Overko, Sergiy Zhuk +4
Reinforcement learning (RL) algorithms aim to learn optimal decisions in unknown environments through experience of taking actions and observing the rewards gained. In some cases,…
Bayesian Classifier for Route Prediction with Markov Chains
Jonathan P. Epperlein, Julien Monteil, Mingming Liu +3
We present here a general framework and a specific algorithm for predicting the destination, route, or more generally a pattern, of an ongoing journey, building on the recent work…