9 citations · 30 across the 13 of their papers we have counts for
3 papers · 2 filters
Calibrating Deep Neural Networks using Explicit Regularisation and Dynamic Data Pruning
Ramya Hebbalaguppe, Rishabh Patra, Tirtharaj Dash +2
Deep neural networks (DNN) are prone to miscalibrated predictions, often exhibiting a mismatch between the predicted output and the associated confidence scores. Contemporary model…
Machine Learning in Sports: A Case Study on Using Explainable Models for Predicting Outcomes of Volleyball Matches
Abhinav Lalwani, Aman Saraiya, Apoorv Singh +2
Machine Learning has become an integral part of engineering design and decision making in several domains, including sports. Deep Neural Networks (DNNs) have been the state-of-the-…
Composition of Relational Features with an Application to Explaining Black-Box Predictors
Ashwin Srinivasan, A Baskar, Tirtharaj Dash +1
Relational machine learning programs like those developed in Inductive Logic Programming (ILP) offer several advantages: (1) The ability to model complex relationships amongst data…