2 citations · 4 across the 6 of their papers we have counts for
6 papers
Automated data curation for self-supervised learning in underwater acoustic analysis
Hilde I Hummel, Sandjai Bhulai, Burooj Ghani +1
The sustainability of the ocean ecosystem is threatened by increased levels of sound pollution, making monitoring crucial to understand its variability and impact. Passive acoustic…
The Computation of Generalized Embeddings for Underwater Acoustic Target Recognition using Contrastive Learning
Hilde I. Hummel, Arwin Gansekoele, Sandjai Bhulai +1
The increasing level of sound pollution in marine environments poses an increased threat to ocean health, making it crucial to monitor underwater noise. By monitoring this noise, t…
The Berkelmans-Pries Feature Importance Method: A Generic Measure of Informativeness of Features
Joris Pries, Guus Berkelmans, Sandjai Bhulai +1
Over the past few years, the use of machine learning models has emerged as a generic and powerful means for prediction purposes. At the same time, there is a growing demand for int…
The Optimal Input-Independent Baseline for Binary Classification: The Dutch Draw
Joris Pries, Etienne van de Bijl, Jan Klein +2
Before any binary classification model is taken into practice, it is important to validate its performance on a proper test set. Without a frame of reference given by a baseline me…
Approximate Dynamic Programming for Real-time Dispatching and Relocation of Emergency Service Engineers
Dmitrii Usanov, Anna Pechina, Peter van de Ven +1
Quick response times are paramount for minimizing downtime in spare parts networks for capital goods, such as medical and manufacturing equipment. To guarantee that the maintenance…
Real-time Dispatching and Relocation of Emergency Service Engineers
Anna Pechina, Dmitrii Usanov, Peter van de Ven +1
Capital goods such as complex medical equipment, trains and manufacturing machinery are essential to their users' business, and thus have stringent up-time requirements. Responsive…