Machine Learning

Papers
(The H4-Index of Machine Learning is 25. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-08-01 to 2025-08-01.)
ArticleCitations
Automated imbalanced classification via layered learning213
Learning to bid and rank together in recommendation systems148
Adapting performance metrics for ordinal classification to interval scale: length matters114
One-Stage Tree: end-to-end tree builder and pruner96
Parameter identifiability of a deep feedforward ReLU neural network81
Maximum causal entropy inverse constrained reinforcement learning79
Surrogate models of radiative transfer codes for atmospheric trace gas retrievals from satellite observations78
SETAR-Tree: a novel and accurate tree algorithm for global time series forecasting65
Semantic-enhanced graph neural networks with global context representation61
The role of mutual information in variational classifiers59
Fairness seen as global sensitivity analysis53
Robust reputation independence in ranking systems for multiple sensitive attributes50
Resolving power: a general approach to compare the distinguishing ability of threshold-free evaluation metrics49
Compositional scene modeling with global object-centric representations48
Modelling spatiotemporal dynamics from Earth observation data with neural differential equations43
A review on instance ranking problems in statistical learning36
Spike2CGR: an efficient method for spike sequence classification using chaos game representation34
Meta-learning for heterogeneous treatment effect estimation with closed-form solvers34
Masked autoencoder for multiagent trajectories30
Differentially-private data synthetisation for efficient re-identification risk control27
Invariant representation learning via decoupling style and spurious features27
An accelerated proximal algorithm for regularized nonconvex and nonsmooth bi-level optimization27
Simultaneous outlier detection and elimination in hyperspectral unmixing via weighted non-negative matrix tri-factorization27
Towards accurate knowledge transfer via target-awareness representation disentanglement27
Maintaining AUC and H-measure over time26
Glacier: guided locally constrained counterfactual explanations for time series classification25
Efficient private SCO for heavy-tailed data via averaged clipping25
Learning any memory-less discrete semantics for dynamical systems represented by logic programs25
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