Machine Learning

Papers
(The H4-Index of Machine Learning is 28. 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 2022-01-01 to 2026-01-01.)
ArticleCitations
Learning to bid and rank together in recommendation systems224
The role of mutual information in variational classifiers180
Robust reputation independence in ranking systems for multiple sensitive attributes152
Maximum causal entropy inverse constrained reinforcement learning92
Parameter identifiability of a deep feedforward ReLU neural network89
Surrogate models of radiative transfer codes for atmospheric trace gas retrievals from satellite observations83
Adapting performance metrics for ordinal classification to interval scale: length matters74
Meta-learning for heterogeneous treatment effect estimation with closed-form solvers70
Compositional scene modeling with global object-centric representations66
Modelling spatiotemporal dynamics from Earth observation data with neural differential equations63
Fairness seen as global sensitivity analysis46
SETAR-Tree: a novel and accurate tree algorithm for global time series forecasting41
Automated imbalanced classification via layered learning41
Resolving power: a general approach to compare the distinguishing ability of threshold-free evaluation metrics40
Spike2CGR: an efficient method for spike sequence classification using chaos game representation39
Semantic-enhanced graph neural networks with global context representation36
Correction to: Segmentation and feature extraction-based classification of pavement damages using hybrid computer vision and machine learning approaches35
On the usefulness of the fit-on-test view on evaluating calibration of classifiers34
Transfer learning with pre-trained conditional generative models33
Differentially-private data synthetisation for efficient re-identification risk control33
Simultaneous outlier detection and elimination in hyperspectral unmixing via weighted non-negative matrix tri-factorization33
GENs: generative encoding networks32
Masked autoencoder for multiagent trajectories32
Towards accurate knowledge transfer via target-awareness representation disentanglement32
Efficient private SCO for heavy-tailed data via averaged clipping31
Trimming stability selection increases variable selection robustness31
Responsible model deployment via model-agnostic uncertainty learning28
A calibration test for evaluating set-based epistemic uncertainty representations28
LaMMOn: language model combined graph neural network for multi-target multi-camera tracking in online scenarios28
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