OOIR: Observatory of International Research

Papers

(The TQCC of Data Mining and Knowledge Discovery is 10. 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 2022-05-01 to 2026-05-01.)

Article	Citations
Joint dynamic topic model for recognition of lead-lag relationship in two text corpora	228
Knowledge graph completion based on asymmetric translation and automatic entity type representation	191
A probabilistic model for API contract specification retrieval focusing on the openAPI standard	188
Structural-temporal coupling anomaly detection with dynamic graph transformer	180
Counterfactual explanations as interventions in latent space	153
Traffic forecasting on new roads using spatial contrastive pre-training (SCPT)	133
Discord-based counterfactual explanations for time series classification	90
Thompson sampling-based recursive block elimination for dynamic assignment under limited budget in pure-exploration	73
Representing ensembles of networks for fuzzy cluster analysis: a case study	69
TCMI: a non-parametric mutual-dependence estimator for multivariate continuous distributions	68
Exploiting sensor data in professional road cycling: personalized data-driven approach for frequent fitness monitoring	65
The grammar of interactive explanatory model analysis	62
Exploring zero-shot essay scoring: from feature-based to LLM-based approaches	54
Correction: TSelect: selecting relevant and non-redundant channels for multivariate time series classification	46
Quantitative evaluation of motif sets in time series	45
Correction: Marginal effects for non-linear prediction functions	42
Combating confirmation bias: a unified pseudo-labeling framework for entity alignment	34
VEM$$^2$$L: an easy but effective framework for fusing text and structure knowledge on sparse knowledge graph completion	32
Hydra: competing convolutional kernels for fast and accurate time series classification	32
MMA: metadata supported multi-variate attention for onset detection and prediction	31
Leveraging internal representations of GNNs with Shapley values	29
Fitter: post-mining user-preferred co-location patterns interactively	28
Wisdom of the contexts: active ensemble learning for contextual anomaly detection	27
Improve contrastive clustering performance by multiple fusing-augmenting ViT blocks	27
Neural content-aware collaborative filtering for cold-start music recommendation	25

Reflective-net: learning from explanations	24
Fine-grained multi-prompt essay scoring with multi-level disentanglement	24
TenGAN: adversarially generating multiplex tensor graphs	23
OLIVANDER: a counterfactual-based method to generate adversarial Windows PE malware	22
SALτ: efficiently stopping TAR by improving priors estimates	22
On computing exact means of time series using the move-split-merge metric	22
Improving neural network’s robustness on tabular data with D-layers	22
Approximation trees: statistical reproducibility in model distillation	22
Optirefine: densest subgraphs and maximum cuts with k refinements	22
Correction: Deep anomaly detection with partition contrastive learning for tabular data	22
Explainable decomposition of nested dense subgraphs	21
Interpretable representations in explainable AI: from theory to practice	20
Correction: Bake off redux: a review and experimental evaluation of recent time series classification algorithms	19
AA-forecast: anomaly-aware forecast for extreme events	18
What do anomaly scores actually mean? Dynamic characteristics beyond accuracy	17
On the evaluation of outlier detection and one-class classification: a comparative study of algorithms, model selection, and ensembles	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
Contextualization of soccer analysis with tactical periodization and machine learning	16
Robust and sparse multinomial regression in high dimensions	16
A multi-class imbalanced data stream classification algorithm based on sample weighting and adaptive oversampling	15
Sky-signatures: detecting and characterizing recurrent behavior in sequential data	15
Multilayer horizontal visibility graphs for multivariate time series analysis	15
Efficient algorithms for fair clustering with a new notion of fairness	15
Exploiting second-order dissimilarity representations for hierarchical clustering and visualization	15
Explanatory artificial intelligence (YAI): human-centered explanations of explainable AI and complex data	15
Does user-end work? User-item-aware knowledge graph convolutional networks for recommendation	15
EmbAssi: embedding assignment costs for similarity search in large graph databases	15
Explainable and interpretable machine learning and data mining	15
A comprehensive taxonomy for explainable artificial intelligence: a systematic survey of surveys on methods and concepts	14
Coupled block diagonal regularization for multi-view subspace clustering	14
Algorithmic fairness datasets: the story so far	14
SimHawNet: a modified Hawkes process for temporal network simulation	14
Mondrian forest for data stream classification under memory constraints	13
Random walks with variable restarts for negative-example-informed label propagation	13
Bounding the family-wise error rate in local causal discovery using Rademacher averages	13
Bijective graph learning architecture with multi-level attributes interaction	13
Metadata supported scale space attention networks for multivariate timeseries prediction	13
When subgraphs outperform graphs: a scalable training strategy for churn prediction on large class-imbalanced networks	13
NICE: an algorithm for nearest instance counterfactual explanations	12
Grouped feature importance and combined features effect plot	12
ClaSP: parameter-free time series segmentation	12
Dynamic self-paced sampling ensemble for highly imbalanced and class-overlapped data classification	12
Randomnet: clustering time series using untrained deep neural networks	12
Beyond additivity: sparse isotonic shapley regression toward nonlinear explainability	12
Structural learning of simple staged trees	12
Hypercore decomposition for non-fragile hyperedges: concepts, algorithms, observations, and applications	12
Unsupervised feature based algorithms for time series extrinsic regression	12
Locality adaptive incomplete multi-view subspace clustering	12

Missing value replacement in strings and applications	12
Detach-ROCKET: sequential feature selection for time series classification with random convolutional kernels	11
Making clusterings fairer by post-processing: algorithms, complexity results and experiments	11
SFC: a time series decomposition attention network with continuous nature for time series analysis	11
Intersectional fair ranking via subgroup divergence	11
When graph convolution meets double attention: online privacy disclosure detection with multi-label text classification	11
Hamming encoder: mining discriminative k-mers for discrete sequence classification	11
Model-agnostic feature importance and effects with dependent features: a conditional subgroup approach	11
Inferring tie strength in temporal networks	11
Sequential pattern detection: similarities and differences across various fields	10
Robust subgroup discovery	10
Modelling event sequence data by type-wise neural point process	10
Stable graph based decision route explanation in siamese neural networks	10
Central node identification via weighted kernel density estimation	10
Predicted motion pressure—metricizing pressure created by pass rushers in the NFL and predicting their motions using weighted K-nearest neighbors machine learning models	10
JammyTS: joint attention and memory network for temporal scoping of facts	10
Sentiment analysis in tweets: an assessment study from classical to modern word representation models	10
Knowledge graph embedding closed under composition	10
A tale of two roles: exploring topic-specific susceptibility and influence in cascade prediction	10