Magdalini Paschali — accepted AI-conference papers

2020

Signal Clustering With Class-Independent Segmentation

Stefano Gasperini, Magdalini Paschali, Carsten Hopke, David Wittmann, Nassir Navab

ICASSP 2020accepted

Radar signals have been dramatically increasing in complexity, limiting the source separation ability of traditional approaches. In this paper we propose a Deep Learning-based clustering method, which encodes concurrent signals into images, and, for the first time, tackles clustering with image segm…

Cited by 0 Source ↗Scholar ↗

2020

Ultrasound-Guided Robotic Navigation with Deep Reinforcement Learning

Hannes Hase, Mohammad Farid Azampour, Maria Tirindelli, Magdalini Paschali, Walter Simson, Emad Fatemizadeh +1

IROS 2020poster

In this paper we introduce the first reinforcement learning (RL) based robotic navigation method which utilizes ultrasound (US) images as an input. Our approach combines state-of-the-art RL techniques, specifically deep Q-networks (DQN) with memory buffers and a binary classifier for deciding when t…

Cited by 57 Source ↗Scholar ↗