OOIR: Observatory of International Research

Papers

(The TQCC of Data Mining and Knowledge Discovery is 8. 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 2021-10-01 to 2025-10-01.)

Article	Citations
A probabilistic model for API contract specification retrieval focusing on the openAPI standard	194
Knowledge graph completion based on asymmetric translation and automatic entity type representation	153
Joint dynamic topic model for recognition of lead-lag relationship in two text corpora	130
Who can receive the pass? A computational model for quantifying availability in soccer	122
Counterfactual explanations as interventions in latent space	99
Correction: Marginal effects for non-linear prediction functions	85
Combating confirmation bias: a unified pseudo-labeling framework for entity alignment	78
The grammar of interactive explanatory model analysis	62
Traffic forecasting on new roads using spatial contrastive pre-training (SCPT)	57
Representing ensembles of networks for fuzzy cluster analysis: a case study	54
Thompson sampling-based recursive block elimination for dynamic assignment under limited budget in pure-exploration	48
TCMI: a non-parametric mutual-dependence estimator for multivariate continuous distributions	47
Exploiting sensor data in professional road cycling: personalized data-driven approach for frequent fitness monitoring	46
Discord-based counterfactual explanations for time series classification	44
Hydra: competing convolutional kernels for fast and accurate time series classification	44
VEM$$^2$$L: an easy but effective framework for fusing text and structure knowledge on sparse knowledge graph completion	43
Fine-grained multi-prompt essay scoring with multi-level disentanglement	37
Dynamic cyber risk estimation with competitive quantile autoregression	30
Reflective-net: learning from explanations	27
MMA: metadata supported multi-variate attention for onset detection and prediction	24
Wisdom of the contexts: active ensemble learning for contextual anomaly detection	24
Neural content-aware collaborative filtering for cold-start music recommendation	23
Correction: Bake off redux: a review and experimental evaluation of recent time series classification algorithms	23
TenGAN: adversarially generating multiplex tensor graphs	22
Improving neural network’s robustness on tabular data with D-layers	21

SALτ: efficiently stopping TAR by improving priors estimates	21
OLIVANDER: a counterfactual-based method to generate adversarial Windows PE malware	20
On computing exact means of time series using the move-split-merge metric	20
Explainable decomposition of nested dense subgraphs	20
Approximation trees: statistical reproducibility in model distillation	20
AA-forecast: anomaly-aware forecast for extreme events	18
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
Robust explainer recommendation for time series classification	18
Optirefine: densest subgraphs and maximum cuts with k refinements	18
Interpretable representations in explainable AI: from theory to practice	18
Correction: Deep anomaly detection with partition contrastive learning for tabular data	18
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
Multilayer horizontal visibility graphs for multivariate time series analysis	17
Does user-end work? User-item-aware knowledge graph convolutional networks for recommendation	16
Contextualization of soccer analysis with tactical periodization and machine learning	16
Robust and sparse multinomial regression in high dimensions	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
EmbAssi: embedding assignment costs for similarity search in large graph databases	15
Explainable and interpretable machine learning and data mining	15
On GNN explainability with activation rules	15
Exploiting second-order dissimilarity representations for hierarchical clustering and visualization	15
Efficient algorithms for fair clustering with a new notion of fairness	14
Topic change point detection using a mixed Bayesian model	14
Coupled block diagonal regularization for multi-view subspace clustering	13
Algorithmic fairness datasets: the story so far	13
SimHawNet: a modified Hawkes process for temporal network simulation	13
A comprehensive taxonomy for explainable artificial intelligence: a systematic survey of surveys on methods and concepts	13
Bounding the family-wise error rate in local causal discovery using Rademacher averages	12
NICE: an algorithm for nearest instance counterfactual explanations	12
Hypercore decomposition for non-fragile hyperedges: concepts, algorithms, observations, and applications	12
PAC-Bayesian lifelong learning for multi-armed bandits	12
Random walks with variable restarts for negative-example-informed label propagation	12
Mondrian forest for data stream classification under memory constraints	12
Unsupervised domain adaptation with non-stochastic missing data	11
Metadata supported scale space attention networks for multivariate timeseries prediction	11
Unsupervised feature based algorithms for time series extrinsic regression	11
Making clusterings fairer by post-processing: algorithms, complexity results and experiments	11
Randomnet: clustering time series using untrained deep neural networks	11
Inferring tie strength in temporal networks	10
Missing value replacement in strings and applications	10
An eager splitting strategy for online decision trees in ensembles	10
Locality adaptive incomplete multi-view subspace clustering	9
ClaSP: parameter-free time series segmentation	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
When graph convolution meets double attention: online privacy disclosure detection with multi-label text classification	9
Grouped feature importance and combined features effect plot	9

Model-agnostic feature importance and effects with dependent features: a conditional subgroup approach	9
Structural learning of simple staged trees	9
Synwalk: community detection via random walk modelling	9
SFC: a time series decomposition attention network with continuous nature for time series analysis	9
Central node identification via weighted kernel density estimation	8
Marginal effects for non-linear prediction functions	8
PETSC: pattern-based embedding for time series classification	8
Robust subgroup discovery	8
Knowledge graph embedding closed under composition	8
Sentiment analysis in tweets: an assessment study from classical to modern word representation models	8
Detach-ROCKET: sequential feature selection for time series classification with random convolutional kernels	8
Stable graph based decision route explanation in siamese neural networks	8
Hamming encoder: mining discriminative k-mers for discrete sequence classification	8
Modelling event sequence data by type-wise neural point process	8
Intersectional fair ranking via subgroup divergence	8
Sequential pattern detection: similarities and differences across various fields	8