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 2022-06-01 to 2026-06-01.)

Article	Citations
Joint dynamic topic model for recognition of lead-lag relationship in two text corpora	238
Knowledge graph completion based on asymmetric translation and automatic entity type representation	196
Structural-temporal coupling anomaly detection with dynamic graph transformer	192
A probabilistic model for API contract specification retrieval focusing on the openAPI standard	192
Counterfactual explanations as interventions in latent space	165
Traffic forecasting on new roads using spatial contrastive pre-training (SCPT)	140
Discord-based counterfactual explanations for time series classification	92
Thompson sampling-based recursive block elimination for dynamic assignment under limited budget in pure-exploration	75
TCMI: a non-parametric mutual-dependence estimator for multivariate continuous distributions	72
Exploiting sensor data in professional road cycling: personalized data-driven approach for frequent fitness monitoring	70
The grammar of interactive explanatory model analysis	68
Correction: TSelect: selecting relevant and non-redundant channels for multivariate time series classification	63
Quantitative evaluation of motif sets in time series	56
Exploring zero-shot essay scoring: from feature-based to LLM-based approaches	49
Representing ensembles of networks for fuzzy cluster analysis: a case study	47
Hydra: competing convolutional kernels for fast and accurate time series classification	43
VEM$$^2$$L: an easy but effective framework for fusing text and structure knowledge on sparse knowledge graph completion	35
Correction: Marginal effects for non-linear prediction functions	35
Combating confirmation bias: a unified pseudo-labeling framework for entity alignment	35
Consistent attributions for transformer-based reversible comparison classifiers	31
Leveraging internal representations of GNNs with Shapley values	29
MMA: metadata supported multi-variate attention for onset detection and prediction	29
Wisdom of the contexts: active ensemble learning for contextual anomaly detection	28
Fitter: post-mining user-preferred co-location patterns interactively	28
Improve contrastive clustering performance by multiple fusing-augmenting ViT blocks	26

Reflective-net: learning from explanations	26
Fine-grained multi-prompt essay scoring with multi-level disentanglement	26
Neural content-aware collaborative filtering for cold-start music recommendation	24
Optirefine: densest subgraphs and maximum cuts with k refinements	23
SALτ: efficiently stopping TAR by improving priors estimates	23
Approximation trees: statistical reproducibility in model distillation	23
Correction: Deep anomaly detection with partition contrastive learning for tabular data	23
TenGAN: adversarially generating multiplex tensor graphs	23
On computing exact means of time series using the move-split-merge metric	22
AA-forecast: anomaly-aware forecast for extreme events	22
Improving neural network’s robustness on tabular data with D-layers	22
Correction: Bake off redux: a review and experimental evaluation of recent time series classification algorithms	21
Explainable decomposition of nested dense subgraphs	21
OLIVANDER: a counterfactual-based method to generate adversarial Windows PE malware	19
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	17
Contextualization of soccer analysis with tactical periodization and machine learning	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
Explainable and interpretable machine learning and data mining	16
Multilayer horizontal visibility graphs for multivariate time series analysis	16
Sky-signatures: detecting and characterizing recurrent behavior in sequential data	16
Robust and sparse multinomial regression in high dimensions	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
EmbAssi: embedding assignment costs for similarity search in large graph databases	16
Does user-end work? User-item-aware knowledge graph convolutional networks for recommendation	16
On GNN explainability with activation rules	16
Coupled block diagonal regularization for multi-view subspace clustering	16
Efficient algorithms for fair clustering with a new notion of fairness	15
A multi-class imbalanced data stream classification algorithm based on sample weighting and adaptive oversampling	15
SimHawNet: a modified Hawkes process for temporal network simulation	15
Algorithmic fairness datasets: the story so far	14
When subgraphs outperform graphs: a scalable training strategy for churn prediction on large class-imbalanced networks	14
A comprehensive taxonomy for explainable artificial intelligence: a systematic survey of surveys on methods and concepts	14
Mondrian forest for data stream classification under memory constraints	14
Random walks with variable restarts for negative-example-informed label propagation	14
Bijective graph learning architecture with multi-level attributes interaction	14
Beyond additivity: sparse isotonic shapley regression toward nonlinear explainability	13
Hypercore decomposition for non-fragile hyperedges: concepts, algorithms, observations, and applications	13
NICE: an algorithm for nearest instance counterfactual explanations	13
Bounding the family-wise error rate in local causal discovery using Rademacher averages	13
Metadata supported scale space attention networks for multivariate timeseries prediction	13
Missing value replacement in strings and applications	12
Unsupervised feature based algorithms for time series extrinsic regression	12
Structural learning of simple staged trees	12
SFC: a time series decomposition attention network with continuous nature for time series analysis	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
When graph convolution meets double attention: online privacy disclosure detection with multi-label text classification	12

Locality adaptive incomplete multi-view subspace clustering	12
Making clusterings fairer by post-processing: algorithms, complexity results and experiments	12
Intersectional fair ranking via subgroup divergence	11
Model-agnostic feature importance and effects with dependent features: a conditional subgroup approach	11
Hamming encoder: mining discriminative k-mers for discrete sequence classification	11
Detach-ROCKET: sequential feature selection for time series classification with random convolutional kernels	11
ClaSP: parameter-free time series segmentation	11
Robust subgroup discovery	11
Grouped feature importance and combined features effect plot	11
Inferring tie strength in temporal networks	11
Sequential pattern detection: similarities and differences across various fields	10
Modelling event sequence data by type-wise neural point process	10
Knowledge graph embedding closed under composition	10
Central node identification via weighted kernel density estimation	10
Sentiment analysis in tweets: an assessment study from classical to modern word representation models	10
Efficient pruning strategies for mining high utility co-location patterns with negative utility features	10
Stable graph based decision route explanation in siamese neural networks	10
Research on entity relationship semantic embedded rule mining model for medical graph reasoning	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	9
Marginal effects for non-linear prediction functions	9
A tale of two roles: exploring topic-specific susceptibility and influence in cascade prediction	9