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 2020-04-01 to 2024-04-01.)

Article	Citations
Aleatoric and epistemic uncertainty in machine learning: an introduction to concepts and methods	488
Learning from positive and unlabeled data: a survey	234
Challenges of real-world reinforcement learning: definitions, benchmarks and analysis	160
Evaluating time series forecasting models: an empirical study on performance estimation methods	105
HIVE-COTE 2.0: a new meta ensemble for time series classification	101
How artificial intelligence and machine learning can help healthcare systems respond to COVID-19	99
Regularisation of neural networks by enforcing Lipschitz continuity	89
LoRAS: an oversampling approach for imbalanced datasets	70
F*: an interpretable transformation of the F-measure	60
High-dimensional Bayesian optimization using low-dimensional feature spaces	54
OWL2Vec*: embedding of OWL ontologies	50
Bonsai: diverse and shallow trees for extreme multi-label classification	49
Bayesian optimization with safety constraints: safe and automatic parameter tuning in robotics	48
How to measure uncertainty in uncertainty sampling for active learning	47
Loss aware post-training quantization	44
Density-based weighting for imbalanced regression	42
Imbalanced regression and extreme value prediction	42
The voice of optimization	40
Engineering problems in machine learning systems	38
Double random forest	36
Interpretable clustering: an optimization approach	33
TRU-NET: a deep learning approach to high resolution prediction of rainfall	33
Stronger data poisoning attacks break data sanitization defenses	32
Spatial dependence between training and test sets: another pitfall of classification accuracy assessment in remote sensing	32
ROSE: robust online self-adjusting ensemble for continual learning on imbalanced drifting data streams	32

Semi-supervised semantic segmentation in Earth Observation: the MiniFrance suite, dataset analysis and multi-task network study	27
Global optimization based on active preference learning with radial basis functions	27