2 citations · 2 across the 8 of their papers we have counts for
5 papers · 1 filter
Generative Adversarial Stacked Autoencoders
Ariel Ruiz-Garcia, Ibrahim Almakky, Vasile Palade +1
Generative Adversarial Networks (GANs) have become predominant in image generation tasks. Their success is attributed to the training regime which employs two models: a generator G…
Self-Supervised Transformers for Activity Classification using Ambient Sensors
Luke Hicks, Ariel Ruiz-Garcia, Vasile Palade +1
Providing care for ageing populations is an onerous task, and as life expectancy estimates continue to rise, the number of people that require senior care is growing rapidly. This…
Learning to Localise Automated Vehicles in Challenging Environments using Inertial Navigation Systems (INS)
Uche Onyekpe, Vasile Palade, Stratis Kanarachos
An algorithm based on Artificial Neural Networks is proposed in this paper to improve the accuracy of Inertial Navigation System (INS)/ Global Navigation Satellite System (GNSS) in…
Parts of Speech Tagging in NLP: Runtime Optimization with Quantum Formulation and ZX Calculus
Arit Kumar Bishwas, Ashish Mani, Vasile Palade
This paper proposes an optimized formulation of the parts of speech tagging in Natural Language Processing with a quantum computing approach and further demonstrates the quantum ga…
Generative Adversarial Stacked Autoencoders for Facial Pose Normalization and Emotion Recognition
Ariel Ruiz-Garcia, Vasile Palade, Mark Elshaw +1
In this work, we propose a novel Generative Adversarial Stacked Autoencoder that learns to map facial expressions, with up to plus or minus 60 degrees, to an illumination invariant…