Cost-sensitive ensemble learning: a unifying framework
End-to-end deep representation learning for time series clustering: a comparative study
Inferring range of information diffusion based on historical frequent items
Mint: MDL-based approach for Mining INTeresting Numerical Pattern Sets
Topic change point detection using a mixed Bayesian model
Matrix sketching for supervised classification with imbalanced classes
Generalized core maintenance of dynamic bipartite graphs
Temporal state change Bayesian networks for modeling of evolving multivariate state sequences: model, structure discovery and parameter estimation
Expected passes
Controlling hallucinations at word level in data-to-text generation
An efficient procedure for mining egocentric temporal motifs
Mining sequences with exceptional transition behaviour of varying order using quality measures based on information-theoretic scoring functions
Sequential stratified regeneration: MCMC for large state spaces with an application to subgraph count estimation
Strengthening ties towards a highly-connected world
A recurrent neural network architecture to model physical activity energy expenditure in older people
Individualized passenger travel pattern multi-clustering based on graph regularized tensor latent dirichlet allocation
Simplification of genetic programs: a literature survey
An adaptive meta-heuristic for music plagiarism detection based on text similarity and clustering
Interpreting deep learning models with marginal attribution by conditioning on quantiles
Exploiting second-order dissimilarity representations for hierarchical clustering and visualization
Grouped feature importance and combined features effect plot
Developing Biceps to completely compute in subquadratic time a new generic type of bicluster in dense and sparse matrices
Extended missing data imputation via GANs for ranking applications
Conclusive local interpretation rules for random forests
SPEck: mining statistically-significant sequential patterns efficiently with exact sampling
Dynamic cyber risk estimation with competitive quantile autoregression
Efficient binary embedding of categorical data using BinSketch
An eager splitting strategy for online decision trees in ensembles
INK: knowledge graph embeddings for node classification
Sequence graph transform (SGT): a feature embedding function for sequence data mining
Provable randomized rounding for minimum-similarity diversification
Synwalk: community detection via random walk modelling
Robust regression via error tolerance
Counterfactual inference with latent variable and its application in mental health care
PAC-Bayesian lifelong learning for multi-armed bandits
Introducing the contrast profile: a novel time series primitive that allows real world classification
XEM: An explainable-by-design ensemble method for multivariate time series classification
Weighted sparse simplex representation: a unified framework for subspace clustering, constrained clustering, and active learning
Who can receive the pass? A computational model for quantifying availability in soccer
PETSC: pattern-based embedding for time series classification
Novel features for time series analysis: a complex networks approach
Using p-values for the comparison of classifiers: pitfalls and alternatives
Interpretability, personalization and reliability of a machine learning based clinical decision support system
Sufficient dimension reduction for average causal effect estimation
Ranking with submodular functions on a budget
The area under the ROC curve as a measure of clustering quality
Dynamic self-paced sampling ensemble for highly imbalanced and class-overlapped data classification
MultiRocket: multiple pooling operators and transformations for fast and effective time series classification
VPint: value propagation-based spatial interpolation
The minimum description length principle for pattern mining: a survey
EmbAssi: embedding assignment costs for similarity search in large graph databases
Dynamic slate recommendation with gated recurrent units and Thompson sampling
Coupled block diagonal regularization for multi-view subspace clustering
TCMI: a non-parametric mutual-dependence estimator for multivariate continuous distributions
Human-in-the-loop handling of knowledge drift
Robust subgroup discovery
Neural content-aware collaborative filtering for cold-start music recommendation
SOKNL: A novel way of integrating K-nearest neighbours with adaptive random forest regression for data streams
