OOIR: Observatory of International Research

Papers

(The TQCC of Data Mining and Knowledge Discovery is 7. 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 2021-05-01 to 2025-05-01.)

Article	Citations
A probabilistic model for API contract specification retrieval focusing on the openAPI standard	142
Counterfactual explanations as interventions in latent space	106
Joint dynamic topic model for recognition of lead-lag relationship in two text corpora	106
Who can receive the pass? A computational model for quantifying availability in soccer	88
Hydra: competing convolutional kernels for fast and accurate time series classification	63
Traffic forecasting on new roads using spatial contrastive pre-training (SCPT)	57
Exploiting sensor data in professional road cycling: personalized data-driven approach for frequent fitness monitoring	55
Discord-based counterfactual explanations for time series classification	48
Representing ensembles of networks for fuzzy cluster analysis: a case study	48
Thompson sampling-based recursive block elimination for dynamic assignment under limited budget in pure-exploration	45
Correction: Marginal effects for non-linear prediction functions	41
TCMI: a non-parametric mutual-dependence estimator for multivariate continuous distributions	41
The grammar of interactive explanatory model analysis	38
Extending greedy feature selection algorithms to multiple solutions	37
Wisdom of the contexts: active ensemble learning for contextual anomaly detection	35
VEM$$^2$$L: an easy but effective framework for fusing text and structure knowledge on sparse knowledge graph completion	35
MMA: metadata supported multi-variate attention for onset detection and prediction	34
Reflective-net: learning from explanations	34
Dynamic cyber risk estimation with competitive quantile autoregression	33
Neural content-aware collaborative filtering for cold-start music recommendation	32
Correction: Bake off redux: a review and experimental evaluation of recent time series classification algorithms	28
TenGAN: adversarially generating multiplex tensor graphs	24
SALτ: efficiently stopping TAR by improving priors estimates	21
Improving neural network’s robustness on tabular data with D-layers	20
Approximation trees: statistical reproducibility in model distillation	20

On computing exact means of time series using the move-split-merge metric	20
Explainable decomposition of nested dense subgraphs	19
Robust explainer recommendation for time series classification	19
Interpretable representations in explainable AI: from theory to practice	19
On the evaluation of outlier detection and one-class classification: a comparative study of algorithms, model selection, and ensembles	17
Generalized core maintenance of dynamic bipartite graphs	17
AA-forecast: anomaly-aware forecast for extreme events	17
What do anomaly scores actually mean? Dynamic characteristics beyond accuracy	16
MultiRocket: multiple pooling operators and transformations for fast and effective time series classification	16
On GNN explainability with activation rules	16
Correlations between random projections and the bivariate normal	16
Multilayer horizontal visibility graphs for multivariate time series analysis	16
Robust and sparse multinomial regression in high dimensions	15
Contextualization of soccer analysis with tactical periodization and machine learning	15
Topic change point detection using a mixed Bayesian model	15
Explanatory artificial intelligence (YAI): human-centered explanations of explainable AI and complex data	15
Exploiting second-order dissimilarity representations for hierarchical clustering and visualization	15
Explainable and interpretable machine learning and data mining	15
EmbAssi: embedding assignment costs for similarity search in large graph databases	14
Coupled block diagonal regularization for multi-view subspace clustering	14
Hyperbolic node embedding for temporal networks	14
Efficient algorithms for fair clustering with a new notion of fairness	14
Sky-signatures: detecting and characterizing recurrent behavior in sequential data	14
A comprehensive taxonomy for explainable artificial intelligence: a systematic survey of surveys on methods and concepts	14
Algorithmic fairness datasets: the story so far	13
Random walks with variable restarts for negative-example-informed label propagation	13
Mondrian forest for data stream classification under memory constraints	13
Bounding the family-wise error rate in local causal discovery using Rademacher averages	12
Unsupervised feature based algorithms for time series extrinsic regression	12
BROCCOLI: overlapping and outlier-robust biclustering through proximal stochastic gradient descent	12
Inferring tie strength in temporal networks	11
Missing value replacement in strings and applications	11
PAC-Bayesian lifelong learning for multi-armed bandits	11
Hypercore decomposition for non-fragile hyperedges: concepts, algorithms, observations, and applications	11
Unsupervised domain adaptation with non-stochastic missing data	11
Randomnet: clustering time series using untrained deep neural networks	11
NICE: an algorithm for nearest instance counterfactual explanations	11
K-plex cover pooling for graph neural networks	11
Link prediction in dynamic networks using random dot product graphs	11
An eager splitting strategy for online decision trees in ensembles	10
ClaSP: parameter-free time series segmentation	10
Making clusterings fairer by post-processing: algorithms, complexity results and experiments	10
When graph convolution meets double attention: online privacy disclosure detection with multi-label text classification	10
Structural learning of simple staged trees	10
Synwalk: community detection via random walk modelling	10
Model-agnostic feature importance and effects with dependent features: a conditional subgroup approach	10
Detach-ROCKET: sequential feature selection for time series classification with random convolutional kernels	9
Grouped feature importance and combined features effect plot	9
Temporal state change Bayesian networks for modeling of evolving multivariate state sequences: model, structure discovery and parameter estimation	9
Dynamic self-paced sampling ensemble for highly imbalanced and class-overlapped data classification	9

PETSC: pattern-based embedding for time series classification	9
Intersectional fair ranking via subgroup divergence	9
Central node identification via weighted kernel density estimation	8
Sentiment analysis in tweets: an assessment study from classical to modern word representation models	8
Relational Learning Analysis of Social Politics using Knowledge Graph Embedding	8
Efficient set-valued prediction in multi-class classification	8
Knowledge graph embedding closed under composition	8
Robust subgroup discovery	8
A Lagrangian-based score for assessing the quality of pairwise constraints in semi-supervised clustering	8
One-shot relational learning for extrapolation reasoning on temporal knowledge graphs	7
MrTF: model refinery for transductive federated learning	7
Modelling event sequence data by type-wise neural point process	7
Continuous treatment effect estimation via generative adversarial de-confounding	7
Binary quantification and dataset shift: an experimental investigation	7
Bake off redux: a review and experimental evaluation of recent time series classification algorithms	7
Marginal effects for non-linear prediction functions	7
An external stability audit framework to test the validity of personality prediction in AI hiring	7
i-Align: an interpretable knowledge graph alignment model	7
A tale of two roles: exploring topic-specific susceptibility and influence in cascade prediction	7
Handling imbalance in hierarchical classification problems using local classifiers approaches	7
Structural iterative lexicographic autoencoded node representation	7