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 2021-11-01 to 2025-11-01.)

Article	Citations
A probabilistic model for API contract specification retrieval focusing on the openAPI standard	215
Knowledge graph completion based on asymmetric translation and automatic entity type representation	161
Joint dynamic topic model for recognition of lead-lag relationship in two text corpora	137
Who can receive the pass? A computational model for quantifying availability in soccer	127
Counterfactual explanations as interventions in latent space	110
Correction: Marginal effects for non-linear prediction functions	92
Combating confirmation bias: a unified pseudo-labeling framework for entity alignment	87
Representing ensembles of networks for fuzzy cluster analysis: a case study	67
Thompson sampling-based recursive block elimination for dynamic assignment under limited budget in pure-exploration	55
TCMI: a non-parametric mutual-dependence estimator for multivariate continuous distributions	51
Discord-based counterfactual explanations for time series classification	49
The grammar of interactive explanatory model analysis	48
Traffic forecasting on new roads using spatial contrastive pre-training (SCPT)	46
Hydra: competing convolutional kernels for fast and accurate time series classification	45
Exploiting sensor data in professional road cycling: personalized data-driven approach for frequent fitness monitoring	44
VEM$$^2$$L: an easy but effective framework for fusing text and structure knowledge on sparse knowledge graph completion	38
Fine-grained multi-prompt essay scoring with multi-level disentanglement	31
MMA: metadata supported multi-variate attention for onset detection and prediction	28
Dynamic cyber risk estimation with competitive quantile autoregression	27
Leveraging internal representations of GNNs with Shapley values	24
Neural content-aware collaborative filtering for cold-start music recommendation	24
Wisdom of the contexts: active ensemble learning for contextual anomaly detection	24
SALτ: efficiently stopping TAR by improving priors estimates	23
Reflective-net: learning from explanations	23
TenGAN: adversarially generating multiplex tensor graphs	23

Correction: Bake off redux: a review and experimental evaluation of recent time series classification algorithms	23
Explainable decomposition of nested dense subgraphs	21
Approximation trees: statistical reproducibility in model distillation	21
On computing exact means of time series using the move-split-merge metric	21
OLIVANDER: a counterfactual-based method to generate adversarial Windows PE malware	20
Optirefine: densest subgraphs and maximum cuts with k refinements	20
Correction: Deep anomaly detection with partition contrastive learning for tabular data	20
Robust explainer recommendation for time series classification	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
Improving neural network’s robustness on tabular data with D-layers	18
AA-forecast: anomaly-aware forecast for extreme events	18
MultiRocket: multiple pooling operators and transformations for fast and effective time series classification	18
Explanatory artificial intelligence (YAI): human-centered explanations of explainable AI and complex data	17
Contextualization of soccer analysis with tactical periodization and machine learning	17
Multilayer horizontal visibility graphs for multivariate time series analysis	17
On GNN explainability with activation rules	16
Explainable and interpretable machine learning and data mining	16
What do anomaly scores actually mean? Dynamic characteristics beyond accuracy	16
Does user-end work? User-item-aware knowledge graph convolutional networks for recommendation	16
Robust and sparse multinomial regression in high dimensions	16
Exploiting second-order dissimilarity representations for hierarchical clustering and visualization	15
EmbAssi: embedding assignment costs for similarity search in large graph databases	15
Sky-signatures: detecting and characterizing recurrent behavior in sequential data	15
Algorithmic fairness datasets: the story so far	14
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
SimHawNet: a modified Hawkes process for temporal network simulation	14
Efficient algorithms for fair clustering with a new notion of fairness	13
Random walks with variable restarts for negative-example-informed label propagation	13
Hypercore decomposition for non-fragile hyperedges: concepts, algorithms, observations, and applications	13
PAC-Bayesian lifelong learning for multi-armed bandits	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
Unsupervised feature based algorithms for time series extrinsic regression	11
Making clusterings fairer by post-processing: algorithms, complexity results and experiments	11
When graph convolution meets double attention: online privacy disclosure detection with multi-label text classification	11
Randomnet: clustering time series using untrained deep neural networks	11
Dynamic self-paced sampling ensemble for highly imbalanced and class-overlapped data classification	11
NICE: an algorithm for nearest instance counterfactual explanations	11
Inferring tie strength in temporal networks	11
Locality adaptive incomplete multi-view subspace clustering	11
An eager splitting strategy for online decision trees in ensembles	10
SFC: a time series decomposition attention network with continuous nature for time series analysis	10
Model-agnostic feature importance and effects with dependent features: a conditional subgroup approach	10
Grouped feature importance and combined features effect plot	10
Structural learning of simple staged trees	10
Detach-ROCKET: sequential feature selection for time series classification with random convolutional kernels	9
Knowledge graph embedding closed under composition	9

Missing value replacement in strings and applications	9
Synwalk: community detection via random walk modelling	9
Sequential pattern detection: similarities and differences across various fields	9
Hamming encoder: mining discriminative k-mers for discrete sequence classification	9
Temporal state change Bayesian networks for modeling of evolving multivariate state sequences: model, structure discovery and parameter estimation	9
PETSC: pattern-based embedding for time series classification	9
Intersectional fair ranking via subgroup divergence	9
ClaSP: parameter-free time series segmentation	9
Stable graph based decision route explanation in siamese neural networks	8
Robust subgroup discovery	8
JammyTS: joint attention and memory network for temporal scoping of facts	8
Sentiment analysis in tweets: an assessment study from classical to modern word representation models	8
A tale of two roles: exploring topic-specific susceptibility and influence in cascade prediction	8
Modelling event sequence data by type-wise neural point process	8
Central node identification via weighted kernel density estimation	8
Bake off redux: a review and experimental evaluation of recent time series classification algorithms	8