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 2021-08-01 to 2025-08-01.)

Article	Citations
A probabilistic model for API contract specification retrieval focusing on the openAPI standard	170
Counterfactual explanations as interventions in latent space	132
Who can receive the pass? A computational model for quantifying availability in soccer	120
Knowledge graph completion based on asymmetric translation and automatic entity type representation	106
Joint dynamic topic model for recognition of lead-lag relationship in two text corpora	80
Exploiting sensor data in professional road cycling: personalized data-driven approach for frequent fitness monitoring	75
Hydra: competing convolutional kernels for fast and accurate time series classification	58
Representing ensembles of networks for fuzzy cluster analysis: a case study	54
Discord-based counterfactual explanations for time series classification	53
Thompson sampling-based recursive block elimination for dynamic assignment under limited budget in pure-exploration	52
TCMI: a non-parametric mutual-dependence estimator for multivariate continuous distributions	44
The grammar of interactive explanatory model analysis	42
Correction: Marginal effects for non-linear prediction functions	42
Traffic forecasting on new roads using spatial contrastive pre-training (SCPT)	41
VEM$$^2$$L: an easy but effective framework for fusing text and structure knowledge on sparse knowledge graph completion	40
Wisdom of the contexts: active ensemble learning for contextual anomaly detection	39
Reflective-net: learning from explanations	33
Dynamic cyber risk estimation with competitive quantile autoregression	27
MMA: metadata supported multi-variate attention for onset detection and prediction	26
Correction: Bake off redux: a review and experimental evaluation of recent time series classification algorithms	23
Neural content-aware collaborative filtering for cold-start music recommendation	23
SALτ: efficiently stopping TAR by improving priors estimates	22
TenGAN: adversarially generating multiplex tensor graphs	22
On computing exact means of time series using the move-split-merge metric	21
Improving neural network’s robustness on tabular data with D-layers	21

Correction: Deep anomaly detection with partition contrastive learning for tabular data	20
Explainable decomposition of nested dense subgraphs	20
Approximation trees: statistical reproducibility in model distillation	20
OLIVANDER: a counterfactual-based method to generate adversarial Windows PE malware	19
AA-forecast: anomaly-aware forecast for extreme events	19
Generalized core maintenance of dynamic bipartite graphs	18
On the evaluation of outlier detection and one-class classification: a comparative study of algorithms, model selection, and ensembles	18
Multilayer horizontal visibility graphs for multivariate time series analysis	17
Robust explainer recommendation for time series classification	17
What do anomaly scores actually mean? Dynamic characteristics beyond accuracy	17
Interpretable representations in explainable AI: from theory to practice	17
MultiRocket: multiple pooling operators and transformations for fast and effective time series classification	17
Robust and sparse multinomial regression in high dimensions	16
On GNN explainability with activation rules	15
Contextualization of soccer analysis with tactical periodization and machine learning	15
Sky-signatures: detecting and characterizing recurrent behavior in sequential data	15
Explanatory artificial intelligence (YAI): human-centered explanations of explainable AI and complex data	15
Topic change point detection using a mixed Bayesian model	15
Does user-end work? User-item-aware knowledge graph convolutional networks for recommendation	15
Explainable and interpretable machine learning and data mining	15
Exploiting second-order dissimilarity representations for hierarchical clustering and visualization	15
Coupled block diagonal regularization for multi-view subspace clustering	14
Efficient algorithms for fair clustering with a new notion of fairness	14
EmbAssi: embedding assignment costs for similarity search in large graph databases	14
A comprehensive taxonomy for explainable artificial intelligence: a systematic survey of surveys on methods and concepts	13
Algorithmic fairness datasets: the story so far	13
SimHawNet: a modified Hawkes process for temporal network simulation	13
Random walks with variable restarts for negative-example-informed label propagation	13
Unsupervised feature based algorithms for time series extrinsic regression	12
Randomnet: clustering time series using untrained deep neural networks	12
Bounding the family-wise error rate in local causal discovery using Rademacher averages	12
PAC-Bayesian lifelong learning for multi-armed bandits	12
Link prediction in dynamic networks using random dot product graphs	12
BROCCOLI: overlapping and outlier-robust biclustering through proximal stochastic gradient descent	11
NICE: an algorithm for nearest instance counterfactual explanations	11
Unsupervised domain adaptation with non-stochastic missing data	11
Mondrian forest for data stream classification under memory constraints	11
An eager splitting strategy for online decision trees in ensembles	11
Missing value replacement in strings and applications	11
Hypercore decomposition for non-fragile hyperedges: concepts, algorithms, observations, and applications	11
Inferring tie strength in temporal networks	11
Locality adaptive incomplete multi-view subspace clustering	10
When graph convolution meets double attention: online privacy disclosure detection with multi-label text classification	10
Making clusterings fairer by post-processing: algorithms, complexity results and experiments	10
SFC: a time series decomposition attention network with continuous nature for time series analysis	9
ClaSP: parameter-free time series segmentation	9
Synwalk: community detection via random walk modelling	9
K-plex cover pooling for graph neural networks	9
Grouped feature importance and combined features effect plot	9
Structural learning of simple staged trees	9

Model-agnostic feature importance and effects with dependent features: a conditional subgroup approach	9
Dynamic self-paced sampling ensemble for highly imbalanced and class-overlapped data classification	9
PETSC: pattern-based embedding for time series classification	8
Temporal state change Bayesian networks for modeling of evolving multivariate state sequences: model, structure discovery and parameter estimation	8
Robust subgroup discovery	8
Intersectional fair ranking via subgroup divergence	8
A Lagrangian-based score for assessing the quality of pairwise constraints in semi-supervised clustering	8
Detach-ROCKET: sequential feature selection for time series classification with random convolutional kernels	8
Structural iterative lexicographic autoencoded node representation	7
Bake off redux: a review and experimental evaluation of recent time series classification algorithms	7
A tale of two roles: exploring topic-specific susceptibility and influence in cascade prediction	7
Hamming encoder: mining discriminative k-mers for discrete sequence classification	7
Marginal effects for non-linear prediction functions	7
One-shot relational learning for extrapolation reasoning on temporal knowledge graphs	7
Knowledge graph embedding closed under composition	7
Sentiment analysis in tweets: an assessment study from classical to modern word representation models	7
Central node identification via weighted kernel density estimation	7
MrTF: model refinery for transductive federated learning	7
i-Align: an interpretable knowledge graph alignment model	7
Sequential pattern detection: similarities and differences across various fields	7
Modelling event sequence data by type-wise neural point process	7
Continuous treatment effect estimation via generative adversarial de-confounding	7