1 citations · 1 across the 2 of their papers we have counts for
3 papers
Forecast reconciliation for vaccine supply chain optimization
Bhanu Angam, Alessandro Beretta, Eli De Poorter +2
Vaccine supply chain optimization can benefit from hierarchical time series forecasting, when grouping the vaccines by type or location. However, forecasts of different hierarchy l…
Semi-Supervised Constrained Clustering: An In-Depth Overview, Ranked Taxonomy and Future Research Directions
Germán González-Almagro, Daniel Peralta, Eli De Poorter +2
Clustering is a well-known unsupervised machine learning approach capable of automatically grouping discrete sets of instances with similar characteristics. Constrained clustering…
Towards a cognitive MAC layer: Predicting the MAC-level performance in Dynamic WSN using Machine learning
Merima Kulin, Eli de Poorter, Tarik Kazaz +1
Predictable network performance is key in many low-power wireless sensor network applications. In this paper, we use machine learning as an effective technique for real-time charac…