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 2022-08-01 to 2026-08-01.)

Article	Citations
Joint dynamic topic model for recognition of lead-lag relationship in two text corpora	265
Knowledge graph completion based on asymmetric translation and automatic entity type representation	226
A probabilistic model for API contract specification retrieval focusing on the openAPI standard	210
Structural-temporal coupling anomaly detection with dynamic graph transformer	191
Counterfactual explanations as interventions in latent space	155
Thompson sampling-based recursive block elimination for dynamic assignment under limited budget in pure-exploration	93
Correction: TSelect: selecting relevant and non-redundant channels for multivariate time series classification	86
Exploring zero-shot essay scoring: from feature-based to LLM-based approaches	78
Representing ensembles of networks for fuzzy cluster analysis: a case study	75
Correction: Marginal effects for non-linear prediction functions	74
Exploiting sensor data in professional road cycling: personalized data-driven approach for frequent fitness monitoring	66
Discord-based counterfactual explanations for time series classification	59
Combating confirmation bias: a unified pseudo-labeling framework for entity alignment	49
FastPACE: Fast PlAnning of Counterfactual Explanations for time series classification	48
The grammar of interactive explanatory model analysis	41
Quantitative evaluation of motif sets in time series	41
Hydra: competing convolutional kernels for fast and accurate time series classification	35
Traffic forecasting on new roads using spatial contrastive pre-training (SCPT)	34
VEM$$^2$$L: an easy but effective framework for fusing text and structure knowledge on sparse knowledge graph completion	32
T-TExTS (Teaching Text Expansion for Teacher Scaffolding): Enhancing Text Selection in High School Literature through Knowledge Graph-Based Recommendation	32
Consistent attributions for transformer-based reversible comparison classifiers	31
Leveraging internal representations of GNNs with Shapley values	30
Fitter: post-mining user-preferred co-location patterns interactively	30
Wisdom of the contexts: active ensemble learning for contextual anomaly detection	29
Neural content-aware collaborative filtering for cold-start music recommendation	27

Fine-grained multi-prompt essay scoring with multi-level disentanglement	27
Reflective-net: learning from explanations	27
TenGAN: adversarially generating multiplex tensor graphs	26
MMA: metadata supported multi-variate attention for onset detection and prediction	26
Improve contrastive clustering performance by multiple fusing-augmenting ViT blocks	26
Correction: Deep anomaly detection with partition contrastive learning for tabular data	25
Optirefine: densest subgraphs and maximum cuts with k refinements	25
Improving neural network’s robustness on tabular data with D-layers	24
On computing exact means of time series using the move-split-merge metric	24
Approximation trees: statistical reproducibility in model distillation	22
Explainable decomposition of nested dense subgraphs	22
SALτ: efficiently stopping TAR by improving priors estimates	20
Interpretable representations in explainable AI: from theory to practice	20
OLIVANDER: a counterfactual-based method to generate adversarial Windows PE malware	20
Robust explainer recommendation for time series classification	20
AA-forecast: anomaly-aware forecast for extreme events	20
Detection of unobserved common causes under additive noise models based on NML code for discrete, mixed, and continuous variables	20
On the evaluation of outlier detection and one-class classification: a comparative study of algorithms, model selection, and ensembles	19
Correction: Bake off redux: a review and experimental evaluation of recent time series classification algorithms	19
Robust and sparse multinomial regression in high dimensions	18
Contextualization of soccer analysis with tactical periodization and machine learning	18
What do anomaly scores actually mean? Dynamic characteristics beyond accuracy	18
Does user-end work? User-item-aware knowledge graph convolutional networks for recommendation	17
Multilayer horizontal visibility graphs for multivariate time series analysis	17
On GNN explainability with activation rules	17
Explainable and interpretable machine learning and data mining	17
Explanatory artificial intelligence (YAI): human-centered explanations of explainable AI and complex data	17
Sky-signatures: detecting and characterizing recurrent behavior in sequential data	16
A multi-class imbalanced data stream classification algorithm based on sample weighting and adaptive oversampling	16
SimHawNet: a modified Hawkes process for temporal network simulation	16
Efficient algorithms for fair clustering with a new notion of fairness	15
A comprehensive taxonomy for explainable artificial intelligence: a systematic survey of surveys on methods and concepts	15
When subgraphs outperform graphs: a scalable training strategy for churn prediction on large class-imbalanced networks	15
Algorithmic fairness datasets: the story so far	15
Random walks with variable restarts for negative-example-informed label propagation	15
Hypercore decomposition for non-fragile hyperedges: concepts, algorithms, observations, and applications	14
Beyond additivity: sparse isotonic shapley regression toward nonlinear explainability	14
Randomnet: clustering time series using untrained deep neural networks	14
Mondrian forest for data stream classification under memory constraints	14
Bounding the family-wise error rate in local causal discovery using Rademacher averages	14
Bijective graph learning architecture with multi-level attributes interaction	14
NICE: an algorithm for nearest instance counterfactual explanations	13
Metadata supported scale space attention networks for multivariate timeseries prediction	13
ClaSP: parameter-free time series segmentation	13
Unsupervised feature based algorithms for time series extrinsic regression	13
SFC: a time series decomposition attention network with continuous nature for time series analysis	13
Missing value replacement in strings and applications	12
Making clusterings fairer by post-processing: algorithms, complexity results and experiments	12
Locality adaptive incomplete multi-view subspace clustering	12
When graph convolution meets double attention: online privacy disclosure detection with multi-label text classification	12

Value and shape-aware transformer with prior-enhanced self-attention for multivariate time series classification	12
Inferring tie strength in temporal networks	12
Structural learning of simple staged trees	12
Model-agnostic feature importance and effects with dependent features: a conditional subgroup approach	11
Feature aggregation in nonlinear systems: two interpretable supervised algorithms	11
Sentiment analysis in tweets: an assessment study from classical to modern word representation models	11
Detach-ROCKET: sequential feature selection for time series classification with random convolutional kernels	11
Stable graph based decision route explanation in siamese neural networks	11
Hamming encoder: mining discriminative k-mers for discrete sequence classification	11
Intersectional fair ranking via subgroup divergence	11
Robust subgroup discovery	11
Knowledge graph embedding closed under composition	11
Central node identification via weighted kernel density estimation	10
Shift-level regulated continual test-time adaptation framework	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
Modelling event sequence data by type-wise neural point process	10
Sequential pattern detection: similarities and differences across various fields	10
Efficient pruning strategies for mining high utility co-location patterns with negative utility features	10
Marginal effects for non-linear prediction functions	9
A tale of two roles: exploring topic-specific susceptibility and influence in cascade prediction	9
JammyTS: joint attention and memory network for temporal scoping of facts	9
Anomaly detection via mean shift density enhancement	9
Bake off redux: a review and experimental evaluation of recent time series classification algorithms	9