Supplementary Material
Page constraints often prevent the inclusion of all relevant information in conference or workshop papers. This page collects all additional information that helps making my papers clearer and more complete.- Supplementary material and code for "Link Prediction via Community Detection in Bipartite Multi-Layer Graphs"
- Data preparation scrips and other code/executables for "Link Prediction in Multi-Layer Networks and its Application to Drug Design". The "frequentLinear" implementation, developed by Johannes Fischer, is available here. The gSpan implementation, developed by Xifeng Yan, can be found here. Prepared network data as used in the paper is available here (97 MB).
- Mining/learning data and Mining/learning code, Random-PAINS, Random-NoPAINS, and Dark Chemical Matter files for "PrePeP - A Tool for the Identification and Characterization of Pan Assay Interference Compounds"
- Additional tables for "Leveraging outlier detection and discriminative pattern mining for feature construction"
- .arff-files encoding the characteristics and results for the data sets used in "Distance-based adaptive k-neighborhood selection"
- Full set of plots of the paper "Objectively evaluating condensed representations and interestingness measures for frequent itemset mining"
- Full set of plots of the paper "Objectively evaluating interestingness measures for frequent itemset mining"
