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 2021-09-01 to 2025-09-01.)

Article	Citations
A probabilistic model for API contract specification retrieval focusing on the openAPI standard	181
Counterfactual explanations as interventions in latent space	144
Who can receive the pass? A computational model for quantifying availability in soccer	122
Joint dynamic topic model for recognition of lead-lag relationship in two text corpora	116
Knowledge graph completion based on asymmetric translation and automatic entity type representation	87
Exploiting sensor data in professional road cycling: personalized data-driven approach for frequent fitness monitoring	80
Traffic forecasting on new roads using spatial contrastive pre-training (SCPT)	67
TCMI: a non-parametric mutual-dependence estimator for multivariate continuous distributions	58
Combating confirmation bias: a unified pseudo-labeling framework for entity alignment	53
Hydra: competing convolutional kernels for fast and accurate time series classification	53
Representing ensembles of networks for fuzzy cluster analysis: a case study	46
Discord-based counterfactual explanations for time series classification	45
Thompson sampling-based recursive block elimination for dynamic assignment under limited budget in pure-exploration	44
Correction: Marginal effects for non-linear prediction functions	42
The grammar of interactive explanatory model analysis	41
VEM$$^2$$L: an easy but effective framework for fusing text and structure knowledge on sparse knowledge graph completion	41
Reflective-net: learning from explanations	36
Dynamic cyber risk estimation with competitive quantile autoregression	30
Wisdom of the contexts: active ensemble learning for contextual anomaly detection	27
Neural content-aware collaborative filtering for cold-start music recommendation	24
MMA: metadata supported multi-variate attention for onset detection and prediction	23
Correction: Bake off redux: a review and experimental evaluation of recent time series classification algorithms	23
Fine-grained multi-prompt essay scoring with multi-level disentanglement	23
TenGAN: adversarially generating multiplex tensor graphs	22
Improving neural network’s robustness on tabular data with D-layers	22

SALτ: efficiently stopping TAR by improving priors estimates	22
On computing exact means of time series using the move-split-merge metric	21
Approximation trees: statistical reproducibility in model distillation	21
Explainable decomposition of nested dense subgraphs	20
Correction: Deep anomaly detection with partition contrastive learning for tabular data	20
OLIVANDER: a counterfactual-based method to generate adversarial Windows PE malware	19
Interpretable representations in explainable AI: from theory to practice	18
On the evaluation of outlier detection and one-class classification: a comparative study of algorithms, model selection, and ensembles	18
AA-forecast: anomaly-aware forecast for extreme events	18
Robust and sparse multinomial regression in high dimensions	17
Generalized core maintenance of dynamic bipartite graphs	17
What do anomaly scores actually mean? Dynamic characteristics beyond accuracy	17
MultiRocket: multiple pooling operators and transformations for fast and effective time series classification	17
Robust explainer recommendation for time series classification	17
On GNN explainability with activation rules	16
Explanatory artificial intelligence (YAI): human-centered explanations of explainable AI and complex data	16
Multilayer horizontal visibility graphs for multivariate time series analysis	15
Explainable and interpretable machine learning and data mining	15
Contextualization of soccer analysis with tactical periodization and machine learning	15
Does user-end work? User-item-aware knowledge graph convolutional networks for recommendation	15
Efficient algorithms for fair clustering with a new notion of fairness	14
Topic change point detection using a mixed Bayesian model	14
EmbAssi: embedding assignment costs for similarity search in large graph databases	14
Exploiting second-order dissimilarity representations for hierarchical clustering and visualization	14
Sky-signatures: detecting and characterizing recurrent behavior in sequential data	14
Algorithmic fairness datasets: the story so far	13
SimHawNet: a modified Hawkes process for temporal network simulation	13
Coupled block diagonal regularization for multi-view subspace clustering	13
Random walks with variable restarts for negative-example-informed label propagation	12
Metadata supported scale space attention networks for multivariate timeseries prediction	12
Bounding the family-wise error rate in local causal discovery using Rademacher averages	12
Mondrian forest for data stream classification under memory constraints	12
A comprehensive taxonomy for explainable artificial intelligence: a systematic survey of surveys on methods and concepts	12
PAC-Bayesian lifelong learning for multi-armed bandits	12
Randomnet: clustering time series using untrained deep neural networks	12
Missing value replacement in strings and applications	11
An eager splitting strategy for online decision trees in ensembles	11
Unsupervised feature based algorithms for time series extrinsic regression	11
NICE: an algorithm for nearest instance counterfactual explanations	11
Inferring tie strength in temporal networks	11
Hypercore decomposition for non-fragile hyperedges: concepts, algorithms, observations, and applications	11
Unsupervised domain adaptation with non-stochastic missing data	11
Dynamic self-paced sampling ensemble for highly imbalanced and class-overlapped data classification	10
Making clusterings fairer by post-processing: algorithms, complexity results and experiments	10
Model-agnostic feature importance and effects with dependent features: a conditional subgroup approach	10
When graph convolution meets double attention: online privacy disclosure detection with multi-label text classification	10
Locality adaptive incomplete multi-view subspace clustering	10
SFC: a time series decomposition attention network with continuous nature for time series analysis	10
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

ClaSP: parameter-free time series segmentation	9
Synwalk: community detection via random walk modelling	9
Structural learning of simple staged trees	9
Intersectional fair ranking via subgroup divergence	8
Hamming encoder: mining discriminative k-mers for discrete sequence classification	8
Central node identification via weighted kernel density estimation	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
Sequential pattern detection: similarities and differences across various fields	8
PETSC: pattern-based embedding for time series classification	8
Knowledge graph embedding closed under composition	8
Sentiment analysis in tweets: an assessment study from classical to modern word representation models	8
Robust subgroup discovery	7
Marginal effects for non-linear prediction functions	7
MrTF: model refinery for transductive federated learning	7
Continuous treatment effect estimation via generative adversarial de-confounding	7
i-Align: an interpretable knowledge graph alignment model	7
Stable graph based decision route explanation in siamese neural networks	7
A tale of two roles: exploring topic-specific susceptibility and influence in cascade prediction	7
Structural iterative lexicographic autoencoded node representation	7
Trace alignment algorithm optimization	7
Modelling event sequence data by type-wise neural point process	7
Bake off redux: a review and experimental evaluation of recent time series classification algorithms	7
One-shot relational learning for extrapolation reasoning on temporal knowledge graphs	7