Search Results for author: Ryan McConville

Found 14 papers, 5 papers with code

Addressing contingency in algorithmic misinformation detection: Toward a responsible innovation agenda

no code implementations5 Oct 2022 Andrés Domínguez Hernández, Richard Owen, Dan Saattrup Nielsen, Ryan McConville

Machine learning (ML) enabled classification models are becoming increasingly popular for tackling the sheer volume and speed of online misinformation.

Misinformation

Multimodal Indoor Localisation for Measuring Mobility in Parkinson's Disease using Transformers

no code implementations12 May 2022 Ferdian Jovan, Ryan McConville, Catherine Morgan, Emma Tonkin, Alan Whone, Ian Craddock

We use data collected from 10 people with Parkinson's, and 10 controls, each of whom lived for five days in a smart home with various sensors.

Reinforcement Learning with Feedback from Multiple Humans with Diverse Skills

no code implementations16 Nov 2021 Taku Yamagata, Ryan McConville, Raul Santos-Rodriguez

We empirically show that our approach can accurately learn the reliability of each trainer correctly and use it to maximise the information gained from the multiple trainers' feedback, even if some of the sources are adversarial.

reinforcement-learning

OPERAnet: A Multimodal Activity Recognition Dataset Acquired from Radio Frequency and Vision-based Sensors

1 code implementation8 Oct 2021 Mohammud J. Bocus, Wenda Li, Shelly Vishwakarma, Roget Kou, Chong Tang, Karl Woodbridge, Ian Craddock, Ryan McConville, Raul Santos-Rodriguez, Kevin Chetty, Robert Piechocki

This dataset can be exploited to advance WiFi and vision-based HAR, for example, using pattern recognition, skeletal representation, deep learning algorithms or other novel approaches to accurately recognize human activities.

Human Activity Recognition Multimodal Activity Recognition

Photos Are All You Need for Reciprocal Recommendation in Online Dating

no code implementations26 Aug 2021 James Neve, Ryan McConville

Reciprocal Recommenders are a subset of recommender systems, where the items in question are people, and the objective is therefore to predict a bidirectional preference relation.

Collaborative Filtering Recommendation Systems

Self-Supervised WiFi-Based Activity Recognition

no code implementations19 Apr 2021 Hok-Shing Lau, Ryan McConville, Mohammud J. Bocus, Robert J. Piechocki, Raul Santos-Rodriguez

Traditional approaches to activity recognition involve the use of wearable sensors or cameras in order to recognise human activities.

Activity Recognition Contrastive Learning +1

PerceptNet: A Human Visual System Inspired Neural Network for Estimating Perceptual Distance

no code implementations28 Oct 2019 Alexander Hepburn, Valero Laparra, Jesús Malo, Ryan McConville, Raul Santos-Rodriguez

Traditionally, the vision community has devised algorithms to estimate the distance between an original image and images that have been subject to perturbations.

Perceptual Distance

N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding

4 code implementations16 Aug 2019 Ryan McConville, Raul Santos-Rodriguez, Robert J. Piechocki, Ian Craddock

We study a number of local and global manifold learning methods on both the raw data and autoencoded embedding, concluding that UMAP in our framework is best able to find the most clusterable manifold in the embedding, suggesting local manifold learning on an autoencoded embedding is effective for discovering higher quality discovering clusters.

Deep Clustering Image Clustering +2

Enforcing Perceptual Consistency on Generative Adversarial Networks by Using the Normalised Laplacian Pyramid Distance

no code implementations9 Aug 2019 Alexander Hepburn, Valero Laparra, Ryan McConville, Raul Santos-Rodriguez

While an important part of the evaluation of the generated images usually involves visual inspection, the inclusion of human perception as a factor in the training process is often overlooked.

Image Segmentation Image-to-Image Translation +2

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