208 citations · 414 across the 17 of their papers we have counts for
18 papers
Ocular Disease Classification Using CNN with Deep Convolutional Generative Adversarial Network
Arun Kunwar, Dibakar Raj Pant, Jukka Heikkonen +1
The Convolutional Neural Network (CNN) has shown impressive performance in image classification because of its strong learning capabilities. However, it demands a substantial and b…
Sim-to-Real Transfer for Mobile Robots with Reinforcement Learning: from NVIDIA Isaac Sim to Gazebo and Real ROS 2 Robots
Sahar Salimpour, Jorge Peña-Queralta, Diego Paez-Granados +2
Unprecedented agility and dexterous manipulation have been demonstrated with controllers based on deep reinforcement learning (RL), with a significant impact on legged and humanoid…
Cross-Vendor Reproducibility of Radiomics-based Machine Learning Models for Computer-aided Diagnosis
Jatin Chaudhary, Ivan Jambor, Hannu Aronen +6
Background: The reproducibility of machine-learning models in prostate cancer detection across different MRI vendors remains a significant challenge. Methods: This study investigat…
Model-assisted survey sampling with Bayesian optimization
Jonne Pohjankukka, Sakari Tuominen, Jukka Heikkonen
Survey sampling plays an important role in the efficient allocation and management of resources. The essence of survey sampling lies in acquiring a sample of data points from a pop…
An Overview of Federated Learning at the Edge and Distributed Ledger Technologies for Robotic and Autonomous Systems
Yu Xianjia, Jorge Peña Queralta, Jukka Heikkonen +1
Autonomous systems are becoming inherently ubiquitous with the advancements of computing and communication solutions enabling low-latency offloading and real-time collaboration of…
Cooperative UWB-Based Localization for Outdoors Positioning and Navigation of UAVs aided by Ground Robots
Yu Xianjia, Li Qingqing, Jorge Pena Queralta +2
Unmanned aerial vehicles (UAVs) are becoming largely ubiquitous with an increasing demand for aerial data. Accurate navigation and localization, required for precise data collectio…