Machine Learning

Papers
(The H4-Index of Machine Learning is 27. 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 2021-10-01 to 2025-10-01.)
ArticleCitations
Automated imbalanced classification via layered learning173
Meta-learning for heterogeneous treatment effect estimation with closed-form solvers137
Learning to bid and rank together in recommendation systems105
The role of mutual information in variational classifiers89
One-Stage Tree: end-to-end tree builder and pruner81
Parameter identifiability of a deep feedforward ReLU neural network70
Maximum causal entropy inverse constrained reinforcement learning69
Robust reputation independence in ranking systems for multiple sensitive attributes68
Semantic-enhanced graph neural networks with global context representation59
Fairness seen as global sensitivity analysis58
Resolving power: a general approach to compare the distinguishing ability of threshold-free evaluation metrics56
Compositional scene modeling with global object-centric representations53
Modelling spatiotemporal dynamics from Earth observation data with neural differential equations39
A review on instance ranking problems in statistical learning37
SETAR-Tree: a novel and accurate tree algorithm for global time series forecasting35
Adapting performance metrics for ordinal classification to interval scale: length matters34
Surrogate models of radiative transfer codes for atmospheric trace gas retrievals from satellite observations34
Spike2CGR: an efficient method for spike sequence classification using chaos game representation31
Masked autoencoder for multiagent trajectories30
Towards accurate knowledge transfer via target-awareness representation disentanglement30
Chinese character recognition with radical-structured stroke trees29
LaMMOn: language model combined graph neural network for multi-target multi-camera tracking in online scenarios29
Maintaining AUC and H-measure over time29
Learning any memory-less discrete semantics for dynamical systems represented by logic programs29
An accelerated proximal algorithm for regularized nonconvex and nonsmooth bi-level optimization29
Responsible model deployment via model-agnostic uncertainty learning28
Reinforcement learning for robotic manipulation using simulated locomotion demonstrations28
On the usefulness of the fit-on-test view on evaluating calibration of classifiers27
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