5 papers
Learning Curves for Decision Making in Supervised Machine Learning: A Survey
Felix Mohr, Jan N. van Rijn
Learning curves are a concept from social sciences that has been adopted in the context of machine learning to assess the performance of a learning algorithm with respect to a cert…
Edge-Based Graph Component Pooling
T. Snelleman, B. M. Renting, H. H. Hoos +1
Graph-structured data naturally occurs in many research fields, such as chemistry and sociology. The relational information contained therein can be leveraged to statistically mode…
Finding Patterns in Ambiguity: Interpretable Stress Testing in the Decision~Boundary
Inês Gomes, LuÃs F. Teixeira, Jan N. van Rijn +4
The increasing use of deep learning across various domains highlights the importance of understanding the decision-making processes of these black-box models. Recent research focus…
Automated Design of Linear Bounding Functions for Sigmoidal Nonlinearities in Neural Networks
Matthias König, Xiyue Zhang, Holger H. Hoos +2
The ubiquity of deep learning algorithms in various applications has amplified the need for assuring their robustness against small input perturbations such as those occurring in a…
AI Competitions and Benchmarks: Dataset Development
Romain Egele, Julio C. S. Jacques Junior, Jan N. van Rijn +7
Machine learning is now used in many applications thanks to its ability to predict, generate, or discover patterns from large quantities of data. However, the process of collecting…