OOIR: Observatory of International Research

Papers

(The TQCC of Data Mining and Knowledge Discovery is 9. 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 2022-01-01 to 2026-01-01.)

Article	Citations
A probabilistic model for API contract specification retrieval focusing on the openAPI standard	249
Joint dynamic topic model for recognition of lead-lag relationship in two text corpora	182
Who can receive the pass? A computational model for quantifying availability in soccer	153
Knowledge graph completion based on asymmetric translation and automatic entity type representation	145
Counterfactual explanations as interventions in latent space	133
Structural-temporal coupling anomaly detection with dynamic graph transformer	110
Correction: Marginal effects for non-linear prediction functions	101
Combating confirmation bias: a unified pseudo-labeling framework for entity alignment	73
Representing ensembles of networks for fuzzy cluster analysis: a case study	59
TCMI: a non-parametric mutual-dependence estimator for multivariate continuous distributions	58
Quantitative evaluation of motif sets in time series	53
Discord-based counterfactual explanations for time series classification	52
Correction: TSelect: selecting relevant and non-redundant channels for multivariate time series classification	52
The grammar of interactive explanatory model analysis	51
Thompson sampling-based recursive block elimination for dynamic assignment under limited budget in pure-exploration	45
Exploiting sensor data in professional road cycling: personalized data-driven approach for frequent fitness monitoring	38
Hydra: competing convolutional kernels for fast and accurate time series classification	35
Traffic forecasting on new roads using spatial contrastive pre-training (SCPT)	34
Fine-grained multi-prompt essay scoring with multi-level disentanglement	32
VEM$$^2$$L: an easy but effective framework for fusing text and structure knowledge on sparse knowledge graph completion	32
Dynamic cyber risk estimation with competitive quantile autoregression	27
Fitter: post-mining user-preferred co-location patterns interactively	27
Neural content-aware collaborative filtering for cold-start music recommendation	27
MMA: metadata supported multi-variate attention for onset detection and prediction	26
Reflective-net: learning from explanations	26

Leveraging internal representations of GNNs with Shapley values	25
TenGAN: adversarially generating multiplex tensor graphs	24
Wisdom of the contexts: active ensemble learning for contextual anomaly detection	24
SALτ: efficiently stopping TAR by improving priors estimates	23
Approximation trees: statistical reproducibility in model distillation	22
On computing exact means of time series using the move-split-merge metric	22
Explainable decomposition of nested dense subgraphs	22
Correction: Deep anomaly detection with partition contrastive learning for tabular data	21
Interpretable representations in explainable AI: from theory to practice	21
OLIVANDER: a counterfactual-based method to generate adversarial Windows PE malware	21
Optirefine: densest subgraphs and maximum cuts with k refinements	20
Correction: Bake off redux: a review and experimental evaluation of recent time series classification algorithms	20
AA-forecast: anomaly-aware forecast for extreme events	19
On the evaluation of outlier detection and one-class classification: a comparative study of algorithms, model selection, and ensembles	19
Improving neural network’s robustness on tabular data with D-layers	19
Robust explainer recommendation for time series classification	19
Contextualization of soccer analysis with tactical periodization and machine learning	18
Does user-end work? User-item-aware knowledge graph convolutional networks for recommendation	18
MultiRocket: multiple pooling operators and transformations for fast and effective time series classification	18
On GNN explainability with activation rules	18
Multilayer horizontal visibility graphs for multivariate time series analysis	17
Robust and sparse multinomial regression in high dimensions	17
Explainable and interpretable machine learning and data mining	16
Explanatory artificial intelligence (YAI): human-centered explanations of explainable AI and complex data	16
What do anomaly scores actually mean? Dynamic characteristics beyond accuracy	16
Sky-signatures: detecting and characterizing recurrent behavior in sequential data	15
Exploiting second-order dissimilarity representations for hierarchical clustering and visualization	15
SimHawNet: a modified Hawkes process for temporal network simulation	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
Coupled block diagonal regularization for multi-view subspace clustering	13
Random walks with variable restarts for negative-example-informed label propagation	13
Algorithmic fairness datasets: the story so far	13
Bounding the family-wise error rate in local causal discovery using Rademacher averages	13
Unsupervised feature based algorithms for time series extrinsic regression	12
Hypercore decomposition for non-fragile hyperedges: concepts, algorithms, observations, and applications	12
Metadata supported scale space attention networks for multivariate timeseries prediction	12
NICE: an algorithm for nearest instance counterfactual explanations	12
Mondrian forest for data stream classification under memory constraints	12
Randomnet: clustering time series using untrained deep neural networks	12
PAC-Bayesian lifelong learning for multi-armed bandits	11
Structural learning of simple staged trees	11
Dynamic self-paced sampling ensemble for highly imbalanced and class-overlapped data classification	11
ClaSP: parameter-free time series segmentation	11
Making clusterings fairer by post-processing: algorithms, complexity results and experiments	11
Missing value replacement in strings and applications	11
Synwalk: community detection via random walk modelling	11
When graph convolution meets double attention: online privacy disclosure detection with multi-label text classification	11
Locality adaptive incomplete multi-view subspace clustering	11

SFC: a time series decomposition attention network with continuous nature for time series analysis	11
Inferring tie strength in temporal networks	11
An eager splitting strategy for online decision trees in ensembles	11
Intersectional fair ranking via subgroup divergence	10
Knowledge graph embedding closed under composition	10
Grouped feature importance and combined features effect plot	10
PETSC: pattern-based embedding for time series classification	10
Sequential pattern detection: similarities and differences across various fields	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	10
Hamming encoder: mining discriminative k-mers for discrete sequence classification	10
JammyTS: joint attention and memory network for temporal scoping of facts	9
Central node identification via weighted kernel density estimation	9
A tale of two roles: exploring topic-specific susceptibility and influence in cascade prediction	9
Bake off redux: a review and experimental evaluation of recent time series classification algorithms	9
Stable graph based decision route explanation in siamese neural networks	9
Robust subgroup discovery	9
Data-driven learning optimal K values for K-nearest neighbour matching in causal inference	9
Trace alignment algorithm optimization	9
Modelling event sequence data by type-wise neural point process	9
Sentiment analysis in tweets: an assessment study from classical to modern word representation models	9
Marginal effects for non-linear prediction functions	9