32 citations · 60 across the 9 of their papers we have counts for
9 papers
Conditional Density Estimation with Histogram Trees
Lincen Yang, Matthijs van Leeuwen
Conditional density estimation (CDE) goes beyond regression by modeling the full conditional distribution, providing a richer understanding of the data than just the conditional me…
Monotonic anomaly detection
Oliver Urs Lenz, Matthijs van Leeuwen
Semi-supervised anomaly detection is based on the principle that any record that looks different from normal training data is a potential anomaly. However, in some cases we are spe…
Probabilistic Truly Unordered Rule Sets
Lincen Yang, Matthijs van Leeuwen
Rule set learning has recently been frequently revisited because of its interpretability. Existing methods have several shortcomings though. First, most existing methods impose ord…
WEARDA: Recording Wearable Sensor Data for Human Activity Monitoring
Richard M. K. van Dijk, Daniela Gawehns, Matthijs van Leeuwen
We present WEARDA, the open source WEARable sensor Data Acquisition software package. WEARDA facilitates the acquisition of human activity data with smartwatches and is primarily a…
Truly Unordered Probabilistic Rule Sets for Multi-class Classification
Lincen Yang, Matthijs van Leeuwen
Rule set learning has long been studied and has recently been frequently revisited due to the need for interpretable models. Still, existing methods have several shortcomings: 1) m…
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…
Learning what matters - Sampling interesting patterns
Vladimir Dzyuba, Matthijs van Leeuwen
In the field of exploratory data mining, local structure in data can be described by patterns and discovered by mining algorithms. Although many solutions have been proposed to add…
Flexible constrained sampling with guarantees for pattern mining
Vladimir Dzyuba, Matthijs van Leeuwen, Luc De Raedt
Pattern sampling has been proposed as a potential solution to the infamous pattern explosion. Instead of enumerating all patterns that satisfy the constraints, individual patterns…
Estimating the pattern frequency spectrum inside the browser
Matthijs van Leeuwen, Antti Ukkonen
We present a browser application for estimating the number of frequent patterns, in particular itemsets, as well as the pattern frequency spectrum. The pattern frequency spectrum i…