Software

Fuzzy measure tools. This software allows one to manipulate fuzzy measures (capacities, cooperative games), randomly generate or fit them to empirical data, calculate various importance and interaction indices and calculate discrete Choquet and Sugeno integrals. Available ac C++ library with Python and R APIs.
Weighted OWA (Ordered weighted averaging). Calculating various types of weighted functions, and multivariate extensions of binary means.
Parallel Random Number generator based on Normal Numbers. C++ headers library.
LibLip. Multivariate interpolation and approximation of scattered data using Lipschitz approximation. C++ library.
RanLip. Multivariate random variate generation with arbitrary Lipschitz continuous distributions.
CP-select. Algorithm for parallel selection on GPUs
Stringi. R package for very fast, portable, correct, consistent, and convenient string/text processing in any locale or character encoding.
Genie. Fast and Robust Hierarchical Clustering with Noise Point Detection.

Adam: Adaptive-maximum imputation for neighborhood-based collaborative filtering, proposed in Lazy Collaborative Filtering for Datasets with Missing Values, IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 2013, 43(6): 1822-1834
CTR: Contrast Targeted Positive and Negative Association Rule Mining (CTR) algorithm, proposed in Identifying Changes And Trends In Hong Kong Outbound Tourism, Tourism Management, 2011, Vol 32(5), Pages 1106-1114
DLM: A Deep Learning Package for Tourism Demand Forecasting, proposed in Tourism Demand Forecasting: A Deep Learning Approach, Annals of Tourism Research, Vol 75, March 2019, Page 410-423
GP-DLM: A Deep Learning Package for Group Pooling Tourism Demand Forecasting, proposed in Group Pooling For Deep Tourism Demand Forecasting. Annals of Tourism Research, Vol 82, May 2020
RFM: Tools for handling fuzzy measures, calculating Shapley value and Interaction index, Choquet Integrals, as well as fitting fuzzy measures to empirical data, as introduced in A Choquet Integral Toolbox and Its Application in Customer Preference Analysis, Data Mining Application with R, Elsevier, 2013
STL-DADLM: A Deep Learning Package for STL Decomposition Tourism Demand Forecasting, proposed in Tourism Demand Forecasting: A Decomposed Deep Learning Approach. Journal of Travel Research, 2020