62 citations · 129 across the 18 of their papers we have counts for
4 papers · 1 filter
REAL-X -- Robot open-Ended Autonomous Learning Architectures: Achieving Truly End-to-End Sensorimotor Autonomous Learning Systems
Emilio Cartoni, Davide Montella, Jochen Triesch +1
Open-ended learning is a core research field of developmental robotics and AI aiming to build learning machines and robots that can autonomously acquire knowledge and skills increm…
Human-Expert-Level Brain Tumor Detection Using Deep Learning with Data Distillation and Augmentation
Diyuan Lu, Nenad Polomac, Iskra Gacheva +2
The application of Deep Learning (DL) for medical diagnosis is often hampered by two problems. First, the amount of training data may be scarce, as it is limited by the number of p…
Staging Epileptogenesis with Deep Neural Networks
Diyuan Lu, Sebastian Bauer, Valentin Neubert +3
Epilepsy is a common neurological disorder characterized by recurrent seizures accompanied by excessive synchronous brain activity. The process of structural and functional brain a…
Towards Early Diagnosis of Epilepsy from EEG Data
Diyuan Lu, Sebastian Bauer, Valentin Neubert +3
Epilepsy is one of the most common neurological disorders, affecting about 1% of the population at all ages. Detecting the development of epilepsy, i.e., epileptogenesis (EPG), bef…