OOIR: Observatory of International Research

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 2020-11-01 to 2024-11-01.)

Article	Citations
Aleatoric and epistemic uncertainty in machine learning: an introduction to concepts and methods	653
Challenges of real-world reinforcement learning: definitions, benchmarks and analysis	225
HIVE-COTE 2.0: a new meta ensemble for time series classification	143
Regularisation of neural networks by enforcing Lipschitz continuity	112
How artificial intelligence and machine learning can help healthcare systems respond to COVID-19	110
F*: an interpretable transformation of the F-measure	84
LoRAS: an oversampling approach for imbalanced datasets	80
How to measure uncertainty in uncertainty sampling for active learning	71
Bayesian optimization with safety constraints: safe and automatic parameter tuning in robotics	71
Density-based weighting for imbalanced regression	68
OWL2Vec*: embedding of OWL ontologies	67
Loss aware post-training quantization	55
ROSE: robust online self-adjusting ensemble for continual learning on imbalanced drifting data streams	51
Stronger data poisoning attacks break data sanitization defenses	48
Spatial dependence between training and test sets: another pitfall of classification accuracy assessment in remote sensing	45
A theoretical distribution analysis of synthetic minority oversampling technique (SMOTE) for imbalanced learning	41
TRU-NET: a deep learning approach to high resolution prediction of rainfall	38
Semi-supervised semantic segmentation in Earth Observation: the MiniFrance suite, dataset analysis and multi-task network study	37
Special issue on feature engineering editorial	36
Global optimization based on active preference learning with radial basis functions	33
Conditional variance penalties and domain shift robustness	30
Scenic: a language for scenario specification and data generation	30
A framework for the fine-grained evaluation of the instantaneous expected value of soccer possessions	30
A survey on learning from imbalanced data streams: taxonomy, challenges, empirical study, and reproducible experimental framework	29
Machine unlearning: linear filtration for logit-based classifiers	29

A deep reinforcement learning framework for continuous intraday market bidding	28
ResGCN: attention-based deep residual modeling for anomaly detection on attributed networks	27