14 citations · 30 across the 5 of their papers we have counts for
5 papers
Who Is Lagging Behind: Profiling Student Behaviors with Graph-Level Encoding in Curriculum-Based Online Learning Systems
Qian Xiao, Conn Breathnach, Ioana Ghergulescu +3
The surge in the adoption of Intelligent Tutoring Systems (ITSs) in education, while being integral to curriculum-based learning, can inadvertently exacerbate performance gaps. To…
Interpreting a Semantic Segmentation Model for Coastline Detection
Conor O'Sullivan, Seamus Coveney, Xavier Monteys +1
We interpret a deep-learning semantic segmentation model used to classify coastline satellite images into land and water. This is to build trust in the model and gain new insight i…
The Effectiveness of Edge Detection Evaluation Metrics for Automated Coastline Detection
Conor O'Sullivan, Seamus Coveney, Xavier Monteys +1
We analyse the effectiveness of RMSE, PSNR, SSIM and FOM for evaluating edge detection algorithms used for automated coastline detection. Typically, the accuracy of detected coastl…
Graph Reconstruction via MIS Queries
Christian Konrad, Conor O'Sullivan, Victor Traistaru
In the Graph Reconstruction (GR) problem, a player initially only knows the vertex set of an input graph and is required to learn its set of edges . To this end,…
Predicting the Outcome of Judicial Decisions made by the European Court of Human Rights
Conor O'Sullivan, Joeran Beel
In this study, machine learning models were constructed to predict whether judgments made by the European Court of Human Rights (ECHR) would lead to a violation of an Article in th…