OOIR: Observatory of International Research

Papers

(The TQCC of Data Mining and Knowledge Discovery is 6. 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 2020-10-01 to 2024-10-01.)

Article	Citations
The great multivariate time series classification bake off: a review and experimental evaluation of recent algorithmic advances	244
Counterfactual explanations and how to find them: literature review and benchmarking	100
A survey of community detection methods in multilayer networks	93
A comprehensive taxonomy for explainable artificial intelligence: a systematic survey of surveys on methods and concepts	80
MultiRocket: multiple pooling operators and transformations for fast and effective time series classification	77
Time series extrinsic regression	50
Deep graph similarity learning: a survey	44
Fake review detection on online E-commerce platforms: a systematic literature review	41
Forecast evaluation for data scientists: common pitfalls and best practices	38
Time series motifs discovery under DTW allows more robust discovery of conserved structure	34
Improving embedded knowledge graph multi-hop question answering by introducing relational chain reasoning	34
Benchmarking and survey of explanation methods for black box models	34
Relational Learning Analysis of Social Politics using Knowledge Graph Embedding	34
End-to-end deep representation learning for time series clustering: a comparative study	33
Smoothed dilated convolutions for improved dense prediction	32
XEM: An explainable-by-design ensemble method for multivariate time series classification	32
Algorithmic fairness datasets: the story so far	31
Word-class embeddings for multiclass text classification	26
Data-driven detection of counterpressing in professional football	25
Graph convolutional networks for traffic forecasting with missing values	22
Improving position encoding of transformers for multivariate time series classification	20
The area under the ROC curve as a measure of clustering quality	19
Hydra: competing convolutional kernels for fast and accurate time series classification	19
Dataset2Vec: learning dataset meta-features	19
Model-agnostic feature importance and effects with dependent features: a conditional subgroup approach	18

Grouped feature importance and combined features effect plot	18
A framework for deep constrained clustering	18
Multi-label learning with missing and completely unobserved labels	18
Efficient set-valued prediction in multi-class classification	17
User preference and embedding learning with implicit feedback for recommender systems	16
Boosting house price predictions using geo-spatial network embedding	16
Hierarchical message-passing graph neural networks	15
VFC-SMOTE: very fast continuous synthetic minority oversampling for evolving data streams	15
Cost-sensitive ensemble learning: a unifying framework	15
A survey of deep network techniques all classifiers can adopt	15
Detecting virtual concept drift of regressors without ground truth values	15
INK: knowledge graph embeddings for node classification	15
Expected passes	14
Sequence graph transform (SGT): a feature embedding function for sequence data mining	13
Explanatory artificial intelligence (YAI): human-centered explanations of explainable AI and complex data	12
Extending greedy feature selection algorithms to multiple solutions	12
Simplification of genetic programs: a literature survey	12
Feature extraction from unequal length heterogeneous EHR time series via dynamic time warping and tensor decomposition	12
Bake off redux: a review and experimental evaluation of recent time series classification algorithms	12
Knowledge graph embedding methods for entity alignment: experimental review	12
Sequential recommendation with metric models based on frequent sequences	12
A deep multimodal model for bug localization	11
Who can receive the pass? A computational model for quantifying availability in soccer	11
An efficient procedure for mining egocentric temporal motifs	11
POI recommendation with queuing time and user interest awareness	11
Interpretability, personalization and reliability of a machine learning based clinical decision support system	10
PETSC: pattern-based embedding for time series classification	10
Chebyshev approaches for imbalanced data streams regression models	10
Controlling hallucinations at word level in data-to-text generation	10
Robust subgroup discovery	10
BROCCOLI: overlapping and outlier-robust biclustering through proximal stochastic gradient descent	10
Stable and actionable explanations of black-box models through factual and counterfactual rules	9
Sufficient dimension reduction for average causal effect estimation	9
Predictive modeling of infant mortality	9
What’s in a name? – gender classification of names with character based machine learning models	9
Novel features for time series analysis: a complex networks approach	9
SPEck: mining statistically-significant sequential patterns efficiently with exact sampling	9
The minimum description length principle for pattern mining: a survey	9
Informative pseudo-labeling for graph neural networks with few labels	9
Early abandoning and pruning for elastic distances including dynamic time warping	9
Detecting singleton spams in reviews via learning deep anomalous temporal aspect-sentiment patterns	9
A recurrent neural network architecture to model physical activity energy expenditure in older people	9
Synwalk: community detection via random walk modelling	9
ClaSP: parameter-free time series segmentation	9
Mining full, inner and tail periodic patterns with perfect, imperfect and asynchronous periodicity simultaneously	8
Natural language techniques supporting decision modelers	8
NICE: an algorithm for nearest instance counterfactual explanations	8
Mining communities and their descriptions on attributed graphs: a survey	8
SMILE: a feature-based temporal abstraction framework for event-interval sequence classification	8
The grammar of interactive explanatory model analysis	8

Adversarial balancing-based representation learning for causal effect inference with observational data	8
On GNN explainability with activation rules	8
Neural content-aware collaborative filtering for cold-start music recommendation	8
Fast and robust video-based exercise classification via body pose tracking and scalable multivariate time series classifiers	8
Time series clustering in linear time complexity	8
Interpreting deep learning models with marginal attribution by conditioning on quantiles	7
Sentiment analysis in tweets: an assessment study from classical to modern word representation models	7
An external stability audit framework to test the validity of personality prediction in AI hiring	7
An overlap sensitive neural network for class imbalanced data	7
An adaptive meta-heuristic for music plagiarism detection based on text similarity and clustering	7
Recurring concept memory management in data streams: exploiting data stream concept evolution to improve performance and transparency	7
Individualized passenger travel pattern multi-clustering based on graph regularized tensor latent dirichlet allocation	7
Continuous treatment effect estimation via generative adversarial de-confounding	6
Federated singular value decomposition for high-dimensional data	6
Fair detection of poisoning attacks in federated learning on non-i.i.d. data	6
Implicit consensus clustering from multiple graphs	6
The network-untangling problem: from interactions to activity timelines	6
Sparse randomized shortest paths routing with Tsallis divergence regularization	6
Isolation kernel: the X factor in efficient and effective large scale online kernel learning	6
Parameterizing the cost function of dynamic time warping with application to time series classification	6
Conclusive local interpretation rules for random forests	6
Better trees: an empirical study on hyperparameter tuning of classification decision tree induction algorithms	6