activity
20172025
most citedSemi-supervised Federated Learning for Activity Recognition

37 citations · 81 across the 22 of their papers we have counts for

collaborators
Showing 2020Show all

5 papers · 1 filter

cs.RO2020

Emotive Response to a Hybrid-Face Robot and Translation to Consumer Social Robots

Maitreyee Wairagkar, Maria R Lima, Daniel Bazo +10

We introduce the conceptual formulation, design, fabrication, control and commercial translation with IoT connection of a hybrid-face social robot and validation of human emotional…

cs.LG2020

Deep Representation for Connected Health: Semi-supervised Learning for Analysing the Risk of Urinary Tract Infections in People with Dementia

Honglin Li, Magdalena Anita Kolanko, Shirin Enshaeifar +13

Machine learning techniques combined with in-home monitoring technologies provide a unique opportunity to automate diagnosis and early detection of adverse health conditions in lon…

cs.LG2020★ 37 cited

Semi-supervised Federated Learning for Activity Recognition

Yuchen Zhao, Hanyang Liu, Honglin Li +2

Training deep learning models on in-home IoT sensory data is commonly used to recognise human activities. Recently, federated learning systems that use edge devices as clients to s…

cs.LG2020

Verifying the Causes of Adversarial Examples

Honglin Li, Yifei Fan, Frieder Ganz +2

The robustness of neural networks is challenged by adversarial examples that contain almost imperceptible perturbations to inputs, which mislead a classifier to incorrect outputs i…

cs.LG2020★ 4 cited

Continual Learning Using Multi-view Task Conditional Neural Networks

Honglin Li, Payam Barnaghi, Shirin Enshaeifar +1

Conventional deep learning models have limited capacity in learning multiple tasks sequentially. The issue of forgetting the previously learned tasks in continual learning is known…