17 citations
- Dublin City UniversityIE7 papers
- University College DublinIE4 papers
- Data Fusion International (Ireland)IE2 papers
- Georgia Institute of TechnologyUS1 paper
- Harvard University PressUS1 paper
- KTH Royal Institute of TechnologySE1 paper
- Lancaster UniversityGB1 paper
- Max Planck Institute for Intelligent SystemsDE1 paper
- National Institute of Technology KarnatakaIN1 paper
- Ollscoil na Gaillimhe – University of GalwayIE1 paper
- University of RegensburgDE1 paper
13 papers
Vision Based Machine Learning Algorithms for Out-of-Distribution Generalisation
Hamza Riaz, Alan F. Smeaton
There are many computer vision applications including object segmentation, classification, object detection, and reconstruction for which machine learning (ML) shows state-of-the-a…
Joint modelling of the body and tail of bivariate data
Lídia M. André, Jennifer L. Wadsworth, Adrian O'Hagan
In situations where both extreme and non-extreme data are of interest, modelling the whole data set accurately is important. In a univariate framework, modelling the bulk and tail…
Analysing the Memorability of a Procedural Crime-Drama TV Series, CSI
Sean Cummins, Lorin Sweeney, Alan F. Smeaton
We investigate the memorability of a 5-season span of a popular crime-drama TV series, CSI, through the application of a vision transformer fine-tuned on the task of predicting vid…
Adaptive data collection for intra-individual studies affected by adherence
Greta Monacelli, Lili Zhang, Winfried Schlee +3
Recently the use of mobile technologies in Ecological Momentary Assessments (EMA) and Interventions (EMI) has made it easier to collect data suitable for intra-individual variabili…
Dexterous Robotic Manipulation using Deep Reinforcement Learning and Knowledge Transfer for Complex Sparse Reward-based Tasks
Qiang Wang, Francisco Roldan Sanchez, Robert McCarthy +7
This paper describes a deep reinforcement learning (DRL) approach that won Phase 1 of the Real Robot Challenge (RRC) 2021, and then extends this method to a more difficult manipula…
An Analysis of Conversational Volatility During Telecollaboration Sessions for Second Language Learning
Aparajita Dey-Plissonneau, Hyowon Lee, Mingming Liu +3
Tandem telecollaboration is a pedagogy used in second language learning where mixed groups of students meet online in videoconferencing sessions to practice their conversational sk…