4 citations · 4 across the 5 of their papers we have counts for
6 papers
Hip Fracture Patient Pathways and Agent-based Modelling
Alison N. O'Connor, Stephen E. Ryan, Gauri Vaidya +2
Increased healthcare demand is significantly straining European services. Digital solutions including advanced modelling techniques offer a promising solution to optimising patient…
A Novel ML-driven Test Case Selection Approach for Enhancing the Performance of Grammatical Evolution
Krishn Kumar Gupt, Meghana Kshirsagar, Douglas Mota Dias +2
Computational cost in metaheuristics such as Evolutionary Algorithms (EAs) is often a major concern, particularly with their ability to scale. In data-based training, traditional E…
An Analysis of the Deployment of Models Trained on Private Tabular Synthetic Data: Unexpected Surprises
Mayana Pereira, Meghana Kshirsagar, Sumit Mukherjee +2
Diferentially private (DP) synthetic datasets are a powerful approach for training machine learning models while respecting the privacy of individual data providers. The effect of…
Becoming Good at AI for Good
Meghana Kshirsagar, Caleb Robinson, Siyu Yang +13
AI for good (AI4G) projects involve developing and applying artificial intelligence (AI) based solutions to further goals in areas such as sustainability, health, humanitarian aid,…
Interpretable Network Propagation with Application to Expanding the Repertoire of Human Proteins that Interact with SARS-CoV-2
Jeffrey N. Law, Kyle Akers, Nure Tasnina +8
Background: Network propagation has been widely used for nearly 20 years to predict gene functions and phenotypes. Despite the popularity of this approach, little attention has bee…
Learning task structure via sparsity grouped multitask learning
Meghana Kshirsagar, Eunho Yang, Aurélie C. Lozano
Sparse mapping has been a key methodology in many high-dimensional scientific problems. When multiple tasks share the set of relevant features, learning them jointly in a group dra…