28 citations · 37 across the 11 of their papers we have counts for
12 papers
Best Practices For Empirical Meta-Algorithmic Research: Guidelines from the COSEAL Research Network
Theresa Eimer, Lennart Schäpermeier, André Biedenkapp +15
Empirical research on meta-algorithmics, such as algorithm selection, configuration, and scheduling, often relies on extensive and thus computationally expensive experiments. With…
Mitigating representation bias caused by missing pixels in methane plume detection
Julia Wąsala, Joannes D. Maasakkers, Ilse Aben +3
Most satellite images have systematically missing pixels (i.e., missing data not at random (MNAR)) due to factors such as clouds. If not addressed, these missing pixels can lead to…
Reducing false positives in strong lens detection through effective augmentation and ensemble learning
Samira Rezaei, Amirmohammad Chegeni, Bharath Chowdhary Nagam +4
This research studies the impact of high-quality training datasets on the performance of Convolutional Neural Networks (CNNs) in detecting strong gravitational lenses. We stress th…
Automated classification of pre-defined movement patterns: A comparison between GNSS and UWB technology
Rodi Laanen, Maedeh Nasri, Richard van Dijk +3
Advanced real-time location systems (RTLS) allow for collecting spatio-temporal data from human movement behaviours. Tracking individuals in small areas such as schoolyards or nurs…
A Systematic Analysis on the Impact of Contextual Information on Point-of-Interest Recommendation
Hossein A. Rahmani, Mohammad Aliannejadi, Mitra Baratchi +1
As the popularity of Location-based Social Networks (LBSNs) increases, designing accurate models for Point-of-Interest (POI) recommendation receives more attention. POI recommendat…
Unsupervised Discretization by Two-dimensional MDL-based Histogram
Lincen Yang, Mitra Baratchi, Matthijs van Leeuwen
Unsupervised discretization is a crucial step in many knowledge discovery tasks. The state-of-the-art method for one-dimensional data infers locally adaptive histograms using the m…