OOIR: Observatory of International Research

Papers

(The TQCC of Data Mining and Knowledge Discovery is 5. 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 2021-02-01 to 2025-02-01.)

Article	Citations
A combinatorial multi-armed bandit approach to correlation clustering	100
Human-in-the-loop handling of knowledge drift	92
Weighted sparse simplex representation: a unified framework for subspace clustering, constrained clustering, and active learning	83
Improving position encoding of transformers for multivariate time series classification	50
Joint dynamic topic model for recognition of lead-lag relationship in two text corpora	48
Affinity analysis for studying physicians’ prescription behavior.	44
Counterfactual explanations as interventions in latent space	42
Expected passes	38
Dataset2Vec: learning dataset meta-features	35
On regime changes in text data using hidden Markov model of contaminated vMF distribution	34
Strengthening ties towards a highly-connected world	34
trie-nlg: trie context augmentation to improve personalized query auto-completion for short and unseen prefixes	33
Random walks with variable restarts for negative-example-informed label propagation	32
Bounding the family-wise error rate in local causal discovery using Rademacher averages	32
Sequential query prediction based on multi-armed bandits with ensemble of transformer experts and immediate feedback	31
ArcMatch: high-performance subgraph matching for labeled graphs by exploiting edge domains	26
Randomnet: clustering time series using untrained deep neural networks	26
Towards effective urban region-of-interest demand modeling via graph representation learning	25
Fast, accurate and explainable time series classification through randomization	23
Session-based recommendation by exploiting substitutable and complementary relationships from multi-behavior data	22
Community detection in interval-weighted networks	22
Multiple-input neural networks for time series forecasting incorporating historical and prospective context	20
Introducing the contrast profile: a novel time series primitive that allows real world classification	20
Structure-aware decoupled imputation network for multivariate time series	19
PAC-Bayesian lifelong learning for multi-armed bandits	18

Extended missing data imputation via GANs for ranking applications	18
Controlling hallucinations at word level in data-to-text generation	18
Multi-label learning with missing and completely unobserved labels	17
MSGNN: Multi-scale Spatio-temporal Graph Neural Network for epidemic forecasting	16
Mondrian forest for data stream classification under memory constraints	15
VFC-SMOTE: very fast continuous synthetic minority oversampling for evolving data streams	15
An alternating nonmonotone projected Barzilai–Borwein algorithm of nonnegative factorization of big matrices	15
MODE-Bi-GRU: orthogonal independent Bi-GRU model with multiscale feature extraction	15
Exploring uplift modeling with high class imbalance	15
Mint: MDL-based approach for Mining INTeresting Numerical Pattern Sets	14
Sequential recommendation with metric models based on frequent sequences	13
Active learning with biased non-response to label requests	12
Unsupervised feature based algorithms for time series extrinsic regression	12
Online concept evolution detection based on active learning	12
The Hadamard decomposition problem	12
Learning a Bayesian network with multiple latent variables for implicit relation representation	12
Modeling the impact of out-of-schema questions in task-oriented dialog systems	11
On the impact of multi-dimensional local differential privacy on fairness	11
Fast and robust video-based exercise classification via body pose tracking and scalable multivariate time series classifiers	11
Adversarial balancing-based representation learning for causal effect inference with observational data	11
Link prediction in dynamic networks using random dot product graphs	10
Efficient binary embedding of categorical data using BinSketch	10
Who can receive the pass? A computational model for quantifying availability in soccer	10
NICE: an algorithm for nearest instance counterfactual explanations	10
Hypercore decomposition for non-fragile hyperedges: concepts, algorithms, observations, and applications	10
Scalable classifier-agnostic channel selection for multivariate time series classification	10
A two-step anomaly detection based method for PU classification in imbalanced data sets	9
An adaptive meta-heuristic for music plagiarism detection based on text similarity and clustering	9
Correction to: Studying bias in visual features through the lens of optimal transport	9
A probabilistic model for API contract specification retrieval focusing on the openAPI standard	9
BROCCOLI: overlapping and outlier-robust biclustering through proximal stochastic gradient descent	9
Z-Time: efficient and effective interpretable multivariate time series classification	9
Fair detection of poisoning attacks in federated learning on non-i.i.d. data	9
End-to-end deep representation learning for time series clustering: a comparative study	9
Smoothed dilated convolutions for improved dense prediction	9
Improving Graph Neural Networks by combining active learning with self-training	9
A semi-supervised interactive algorithm for change point detection	9
MIRACLE: Malware image recognition and classification by layered extraction	8
Tackling ordinal regression problem for heterogeneous data: sparse and deep multi-task learning approaches	8
An eager splitting strategy for online decision trees in ensembles	8
Reciprocity in directed hypergraphs: measures, findings, and generators	8
Informative pseudo-labeling for graph neural networks with few labels	8
TCMI: a non-parametric mutual-dependence estimator for multivariate continuous distributions	8
Making clusterings fairer by post-processing: algorithms, complexity results and experiments	8
Enforcing fairness using ensemble of diverse Pareto-optimal models	8
Unsupervised domain adaptation with non-stochastic missing data	8
When graph convolution meets double attention: online privacy disclosure detection with multi-label text classification	7
Generalized density attractor clustering for incomplete data	7
Inferring range of information diffusion based on historical frequent items	7
Missing value replacement in strings and applications	7

An anomaly aware network embedding framework for unsupervised anomalous link detection	7
Hydra: competing convolutional kernels for fast and accurate time series classification	7
Thompson sampling-based recursive block elimination for dynamic assignment under limited budget in pure-exploration	7
The art of centering without centering for robust principal component analysis	7
FRAPPE: fast rank approximation with explainable features for tensors	6
ClaSP: parameter-free time series segmentation	6
Knowledge graph embedding methods for entity alignment: experimental review	6
Streaming changepoint detection for transition matrices	6
Homophily outlier detection in non-IID categorical data	6
Navigating the metric maze: a taxonomy of evaluation metrics for anomaly detection in time series	6
MCCE: Monte Carlo sampling of valid and realistic counterfactual explanations for tabular data	6
CrashNet: an encoder–decoder architecture to predict crash test outcomes	6
Exploring potential biases towards blockbuster items in ranking-based recommendations	6
Regularization-based methods for ordinal quantification	5
SOKNL: A novel way of integrating K-nearest neighbours with adaptive random forest regression for data streams	5
Exploiting sensor data in professional road cycling: personalized data-driven approach for frequent fitness monitoring	5
The grammar of interactive explanatory model analysis	5
What’s in a name? – gender classification of names with character based machine learning models	5
Better trees: an empirical study on hyperparameter tuning of classification decision tree induction algorithms	5
Evaluating outlier probabilities: assessing sharpness, refinement, and calibration using stratified and weighted measures	5
Extending greedy feature selection algorithms to multiple solutions	5
Social norm bias: residual harms of fairness-aware algorithms	5
Shapley values for cluster importance	5
Grouped feature importance and combined features effect plot	5
Model-agnostic feature importance and effects with dependent features: a conditional subgroup approach	5
GeoRF: a geospatial random forest	5
Discord-based counterfactual explanations for time series classification	5
Enhancing racism classification: an automatic multilingual data annotation system using self-training and CNN	5
Interpretable linear dimensionality reduction based on bias-variance analysis	5
Ranking with submodular functions on a budget	5
Dynamic self-paced sampling ensemble for highly imbalanced and class-overlapped data classification	5
Data-driven detection of counterpressing in professional football	5