OOIR: Observatory of International Research

Papers

(The TQCC of Data Mining and Knowledge Discovery is 6. 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 2020-04-01 to 2024-04-01.)

Article	Citations
InceptionTime: Finding AlexNet for time series classification	562
ROCKET: exceptionally fast and accurate time series classification using random convolutional kernels	364
The great multivariate time series classification bake off: a review and experimental evaluation of recent algorithmic advances	195
A survey of community detection methods in multilayer networks	76
Challenges in benchmarking stream learning algorithms with real-world data	60
Counterfactual explanations and how to find them: literature review and benchmarking	58
MultiRocket: multiple pooling operators and transformations for fast and effective time series classification	49
Deep graph similarity learning: a survey	37
An efficient K-means clustering algorithm for tall data	36
Deep soccer analytics: learning an action-value function for evaluating soccer players	36
A comprehensive taxonomy for explainable artificial intelligence: a systematic survey of surveys on methods and concepts	35
Matrix profile goes MAD: variable-length motif and discord discovery in data series	34
Time series extrinsic regression	34
TEASER: early and accurate time series classification	32
Fake review detection on online E-commerce platforms: a systematic literature review	30
Relational Learning Analysis of Social Politics using Knowledge Graph Embedding	30
Smoothed dilated convolutions for improved dense prediction	29
Time series motifs discovery under DTW allows more robust discovery of conserved structure	28
Scalable attack on graph data by injecting vicious nodes	26
ColluEagle: collusive review spammer detection using Markov random fields	26
Forecast evaluation for data scientists: common pitfalls and best practices	24
Comparison of novelty detection methods for multispectral images in rover-based planetary exploration missions	24
Word-class embeddings for multiclass text classification	23
Data-driven detection of counterpressing in professional football	22
End-to-end deep representation learning for time series clustering: a comparative study	22

XEM: An explainable-by-design ensemble method for multivariate time series classification	22
Improving embedded knowledge graph multi-hop question answering by introducing relational chain reasoning	19
Active learning for hierarchical multi-label classification	19
ABBA: adaptive Brownian bridge-based symbolic aggregation of time series	17
Treant: training evasion-aware decision trees	16
Gaussian bandwidth selection for manifold learning and classification	16
Algorithmic fairness datasets: the story so far	16
User preference and embedding learning with implicit feedback for recommender systems	15
A framework for deep constrained clustering	15
Multi-label learning with missing and completely unobserved labels	15
Efficient mining of the most significant patterns with permutation testing	15
A survey of deep network techniques all classifiers can adopt	14
The area under the ROC curve as a measure of clustering quality	14
Benchmarking and survey of explanation methods for black box models	14
struc2gauss: Structural role preserving network embedding via Gaussian embedding	14
INK: knowledge graph embeddings for node classification	14
MIDIA: exploring denoising autoencoders for missing data imputation	14
Graph convolutional networks for traffic forecasting with missing values	13
Grouped feature importance and combined features effect plot	13
Dataset2Vec: learning dataset meta-features	13
Efficient set-valued prediction in multi-class classification	12
Extending greedy feature selection algorithms to multiple solutions	12
Sequential recommendation with metric models based on frequent sequences	12
Detecting virtual concept drift of regressors without ground truth values	11
Cost-sensitive ensemble learning: a unifying framework	11
Expected passes	11
An efficient procedure for mining egocentric temporal motifs	10
Hydra: competing convolutional kernels for fast and accurate time series classification	10
PETSC: pattern-based embedding for time series classification	10
VFC-SMOTE: very fast continuous synthetic minority oversampling for evolving data streams	10
A deep multimodal model for bug localization	10
Boosting house price predictions using geo-spatial network embedding	10
An ultra-fast time series distance measure to allow data mining in more complex real-world deployments	10
Robust subgroup discovery	9
Who can receive the pass? A computational model for quantifying availability in soccer	9
Large-scale network motif analysis using compression	9
Bayesian mean-parameterized nonnegative binary matrix factorization	9
BROCCOLI: overlapping and outlier-robust biclustering through proximal stochastic gradient descent	9
For real: a thorough look at numeric attributes in subgroup discovery	9
Controlling hallucinations at word level in data-to-text generation	9
SPEck: mining statistically-significant sequential patterns efficiently with exact sampling	8
Feature extraction from unequal length heterogeneous EHR time series via dynamic time warping and tensor decomposition	8
Hierarchical message-passing graph neural networks	8
Simplification of genetic programs: a literature survey	8
Mining communities and their descriptions on attributed graphs: a survey	8
Chebyshev approaches for imbalanced data streams regression models	8
Introducing time series snippets: a new primitive for summarizing long time series	7
Model-agnostic feature importance and effects with dependent features: a conditional subgroup approach	7
Interpretability, personalization and reliability of a machine learning based clinical decision support system	7
Natural language techniques supporting decision modelers	7

Early abandoning and pruning for elastic distances including dynamic time warping	7
On GNN explainability with activation rules	7
Simple and effective neural-free soft-cluster embeddings for item cold-start recommendations	7
Time series clustering in linear time complexity	6
Detecting singleton spams in reviews via learning deep anomalous temporal aspect-sentiment patterns	6
An overlap sensitive neural network for class imbalanced data	6
The minimum description length principle for pattern mining: a survey	6
ClaSP: parameter-free time series segmentation	6
Adversarial balancing-based representation learning for causal effect inference with observational data	6
Sequence graph transform (SGT): a feature embedding function for sequence data mining	6
Explanatory artificial intelligence (YAI): human-centered explanations of explainable AI and complex data	6
Sufficient dimension reduction for average causal effect estimation	6
POI recommendation with queuing time and user interest awareness	6
Neural content-aware collaborative filtering for cold-start music recommendation	6
What’s in a name? – gender classification of names with character based machine learning models	6
Improving position encoding of transformers for multivariate time series classification	6
Novel features for time series analysis: a complex networks approach	6
A recurrent neural network architecture to model physical activity energy expenditure in older people	6
Recurring concept memory management in data streams: exploiting data stream concept evolution to improve performance and transparency	6
Mining full, inner and tail periodic patterns with perfect, imperfect and asynchronous periodicity simultaneously	6
SMILE: a feature-based temporal abstraction framework for event-interval sequence classification	6
TEAGS: time-aware text embedding approach to generate subgraphs	6