175 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University College DublinIE31 papers
- Dublin City UniversityIE21 papers
- Ollscoil na Gaillimhe – University of GalwayIE10 papers
- National University of Ireland, MaynoothIE4 papers
- Trinity College DublinIE4 papers
- University College CorkIE3 papers
- Ca' Foscari University of VeniceIT2 papers
- Dana-Farber Cancer InstituteUS2 papers
- Data Fusion International (Ireland)IE2 papers
- KTH Royal Institute of TechnologySE2 papers
- The University of Texas at AustinUS2 papers
- Tsinghua UniversityCN2 papers
71 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…
Overlapping Word Removal is All You Need: Revisiting Data Imbalance in Hope Speech Detection
Hariharan RamakrishnaIyer LekshmiAmmal, Manikandan Ravikiran, Gayathri Nisha +4
Hope Speech Detection, a task of recognizing positive expressions, has made significant strides recently. However, much of the current works focus on model development without cons…
Parking Behaviour Analysis of Shared E-Bike Users Based on a Real-World Dataset -- A Case Study in Dublin, Ireland
Sen Yan, Mingming Liu, Noel E. O'Connor
In recent years, an increasing number of shared E-bikes have been rolling out rapidly in our cities. It therefore becomes important to understand new behaviour patterns of the cycl…
A Novel Perspective to Look At Attention: Bi-level Attention-based Explainable Topic Modeling for News Classification
Dairui Liu, Derek Greene, Ruihai Dong
Many recent deep learning-based solutions have widely adopted the attention-based mechanism in various tasks of the NLP discipline. However, the inherent characteristics of deep le…
Stochastic Dynamic Programming Heuristic for the (R, s, S) Policy Parameters Computation
Andrea Visentin, Steven Prestwich, Roberto Rossi +1
The (R, s, S) is a stochastic inventory control policy widely used by practitioners. In an inventory system managed according to this policy, the inventory is reviewed at instant R…
Using a GAN to Generate Adversarial Examples to Facial Image Recognition
Andrew Merrigan, Alan F. Smeaton
Images posted online present a privacy concern in that they may be used as reference examples for a facial recognition system. Such abuse of images is in violation of privacy right…
Findings of the Sentiment Analysis of Dravidian Languages in Code-Mixed Text
Bharathi Raja Chakravarthi, Ruba Priyadharshini, Sajeetha Thavareesan +8
We present the results of the Dravidian-CodeMix shared task held at FIRE 2021, a track on sentiment analysis for Dravidian Languages in Code-Mixed Text. We describe the task, its o…
Computer Vision for Supporting Image Search
Alan F. Smeaton
Computer vision and multimedia information processing have made extreme progress within the last decade and many tasks can be done with a level of accuracy as if done by humans, or…
Visual Selective Attention System to Intervene User Attention in Sharing COVID-19 Misinformation
Zaid Amin, Nazlena Mohamad Ali, Alan F. Smeaton
Information sharing on social media must be accompanied by attentive behavior so that in a distorted digital environment, users are not rushed and distracted in deciding to share i…
TrollsWithOpinion: A Dataset for Predicting Domain-specific Opinion Manipulation in Troll Memes
Shardul Suryawanshi, Bharathi Raja Chakravarthi, Mihael Arcan +2
Research into the classification of Image with Text (IWT) troll memes has recently become popular. Since the online community utilizes the refuge of memes to express themselves, th…
Collaboration in the Time of COVID: A Scientometric Analysis of Multidisciplinary SARS-CoV-2 Research
Eoghan Cunningham, Barry Smyth, Derek Greene
The novel coronavirus SARS-CoV-2 and the COVID-19 illness it causes have inspired unprecedented levels of multidisciplinary research in an effort to address a generational public h…
DravidianCodeMix: Sentiment Analysis and Offensive Language Identification Dataset for Dravidian Languages in Code-Mixed Text
Bharathi Raja Chakravarthi, Ruba Priyadharshini, Vigneshwaran Muralidaran +4
This paper describes the development of a multilingual, manually annotated dataset for three under-resourced Dravidian languages generated from social media comments. The dataset w…
Calibrating COVID-19 SEIR models with time-varying effective contact rates
James P. Gleeson, Thomas Brendan Murphy, Joseph D. O'Brien +3
We describe the population-based SEIR (susceptible, exposed, infected, removed) model developed by the Irish Epidemiological Modelling Advisory Group (IEMAG), which advises the Iri…
A Novel Falling-Ball Algorithm for Image Segmentation
Asra Aslam, Ekram Khan, Mohammad Samar Ansari +1
Image segmentation refers to the separation of objects from the background, and has been one of the most challenging aspects of digital image processing. Practically it is impossib…
VID-WIN: Fast Video Event Matching with Query-Aware Windowing at the Edge for the Internet of Multimedia Things
Piyush Yadav, Dhaval Salwala, Edward Curry
Efficient video processing is a critical component in many IoMT applications to detect events of interest. Presently, many window optimization techniques have been proposed in even…
A Simulated Annealing Algorithm for Joint Stratification and Sample Allocation Designs
Mervyn O'Luing, Steven Prestwich, S. Armagan Tarim
This study combines simulated annealing with delta evaluation to solve the joint stratification and sample allocation problem. In this problem, atomic strata are partitioned into m…
Keystroke Dynamics as Part of Lifelogging
Alan F. Smeaton, Naveen Garaga Krishnamurthy, Amruth Hebbasuru Suryanarayana
In this paper we present the case for including keystroke dynamics in lifelogging. We describe how we have used a simple keystroke logging application called Loggerman, to create a…
Reinforcement Learning on Computational Resource Allocation of Cloud-based Wireless Networks
Beiran Chen, Yi Zhang, George Iosifidis +1
Wireless networks used for Internet of Things (IoT) are expected to largely involve cloud-based computing and processing. Softwarised and centralised signal processing and network…
A Survey of Orthographic Information in Machine Translation
Bharathi Raja Chakravarthi, Priya Rani, Mihael Arcan +1
Machine translation is one of the applications of natural language processing which has been explored in different languages. Recently researchers started paying attention towards…