Data Mining and Knowledge Discovery

Article	Citations
A probabilistic model for API contract specification retrieval focusing on the openAPI standard	249
Joint dynamic topic model for recognition of lead-lag relationship in two text corpora	182
Who can receive the pass? A computational model for quantifying availability in soccer	153
Knowledge graph completion based on asymmetric translation and automatic entity type representation	145
Counterfactual explanations as interventions in latent space	133
Structural-temporal coupling anomaly detection with dynamic graph transformer	110
Correction: Marginal effects for non-linear prediction functions	101
Combating confirmation bias: a unified pseudo-labeling framework for entity alignment	73
Representing ensembles of networks for fuzzy cluster analysis: a case study	59
TCMI: a non-parametric mutual-dependence estimator for multivariate continuous distributions	58
Quantitative evaluation of motif sets in time series	53
Correction: TSelect: selecting relevant and non-redundant channels for multivariate time series classification	52
Discord-based counterfactual explanations for time series classification	52
The grammar of interactive explanatory model analysis	51
Thompson sampling-based recursive block elimination for dynamic assignment under limited budget in pure-exploration	45
Exploiting sensor data in professional road cycling: personalized data-driven approach for frequent fitness monitoring	38
Hydra: competing convolutional kernels for fast and accurate time series classification	35
Traffic forecasting on new roads using spatial contrastive pre-training (SCPT)	34
Fine-grained multi-prompt essay scoring with multi-level disentanglement	32
VEM$$^2$$L: an easy but effective framework for fusing text and structure knowledge on sparse knowledge graph completion	32
Neural content-aware collaborative filtering for cold-start music recommendation	27
Dynamic cyber risk estimation with competitive quantile autoregression	27
Fitter: post-mining user-preferred co-location patterns interactively	27
Reflective-net: learning from explanations	26
MMA: metadata supported multi-variate attention for onset detection and prediction	26

Leveraging internal representations of GNNs with Shapley values	25
Wisdom of the contexts: active ensemble learning for contextual anomaly detection	24
TenGAN: adversarially generating multiplex tensor graphs	24
SALτ: efficiently stopping TAR by improving priors estimates	23
On computing exact means of time series using the move-split-merge metric	22
Explainable decomposition of nested dense subgraphs	22
Approximation trees: statistical reproducibility in model distillation	22
Interpretable representations in explainable AI: from theory to practice	21
OLIVANDER: a counterfactual-based method to generate adversarial Windows PE malware	21
Correction: Deep anomaly detection with partition contrastive learning for tabular data	21
Optirefine: densest subgraphs and maximum cuts with k refinements	20
Correction: Bake off redux: a review and experimental evaluation of recent time series classification algorithms	20
Improving neural network’s robustness on tabular data with D-layers	19
Robust explainer recommendation for time series classification	19
AA-forecast: anomaly-aware forecast for extreme events	19
On the evaluation of outlier detection and one-class classification: a comparative study of algorithms, model selection, and ensembles	19
On GNN explainability with activation rules	18
Contextualization of soccer analysis with tactical periodization and machine learning	18
Does user-end work? User-item-aware knowledge graph convolutional networks for recommendation	18
MultiRocket: multiple pooling operators and transformations for fast and effective time series classification	18
Robust and sparse multinomial regression in high dimensions	17
Multilayer horizontal visibility graphs for multivariate time series analysis	17
What do anomaly scores actually mean? Dynamic characteristics beyond accuracy	16
Explainable and interpretable machine learning and data mining	16
Explanatory artificial intelligence (YAI): human-centered explanations of explainable AI and complex data	16
Sky-signatures: detecting and characterizing recurrent behavior in sequential data	15
Exploiting second-order dissimilarity representations for hierarchical clustering and visualization	15
EmbAssi: embedding assignment costs for similarity search in large graph databases	14
SimHawNet: a modified Hawkes process for temporal network simulation	14
Efficient algorithms for fair clustering with a new notion of fairness	14
Algorithmic fairness datasets: the story so far	13
Bounding the family-wise error rate in local causal discovery using Rademacher averages	13
A comprehensive taxonomy for explainable artificial intelligence: a systematic survey of surveys on methods and concepts	13
Coupled block diagonal regularization for multi-view subspace clustering	13
Random walks with variable restarts for negative-example-informed label propagation	13
NICE: an algorithm for nearest instance counterfactual explanations	12
Mondrian forest for data stream classification under memory constraints	12
Randomnet: clustering time series using untrained deep neural networks	12
Unsupervised feature based algorithms for time series extrinsic regression	12
Hypercore decomposition for non-fragile hyperedges: concepts, algorithms, observations, and applications	12
Metadata supported scale space attention networks for multivariate timeseries prediction	12
Locality adaptive incomplete multi-view subspace clustering	11
SFC: a time series decomposition attention network with continuous nature for time series analysis	11
Inferring tie strength in temporal networks	11
An eager splitting strategy for online decision trees in ensembles	11
PAC-Bayesian lifelong learning for multi-armed bandits	11
Structural learning of simple staged trees	11
Dynamic self-paced sampling ensemble for highly imbalanced and class-overlapped data classification	11
ClaSP: parameter-free time series segmentation	11
Making clusterings fairer by post-processing: algorithms, complexity results and experiments	11

Missing value replacement in strings and applications	11
Synwalk: community detection via random walk modelling	11
When graph convolution meets double attention: online privacy disclosure detection with multi-label text classification	11
Model-agnostic feature importance and effects with dependent features: a conditional subgroup approach	10
Detach-ROCKET: sequential feature selection for time series classification with random convolutional kernels	10
Hamming encoder: mining discriminative k-mers for discrete sequence classification	10
Intersectional fair ranking via subgroup divergence	10
Knowledge graph embedding closed under composition	10
Grouped feature importance and combined features effect plot	10
PETSC: pattern-based embedding for time series classification	10
Sequential pattern detection: similarities and differences across various fields	10
Marginal effects for non-linear prediction functions	9
Trace alignment algorithm optimization	9
Central node identification via weighted kernel density estimation	9
A tale of two roles: exploring topic-specific susceptibility and influence in cascade prediction	9
Bake off redux: a review and experimental evaluation of recent time series classification algorithms	9
JammyTS: joint attention and memory network for temporal scoping of facts	9
Stable graph based decision route explanation in siamese neural networks	9
Robust subgroup discovery	9
Data-driven learning optimal K values for K-nearest neighbour matching in causal inference	9
Modelling event sequence data by type-wise neural point process	9
Sentiment analysis in tweets: an assessment study from classical to modern word representation models	9
TSelect: selecting relevant and non-redundant channels for multivariate time series classification	8
One-shot relational learning for extrapolation reasoning on temporal knowledge graphs	8
i-Align: an interpretable knowledge graph alignment model	8
RMIDDM: an unsupervised and interpretable concept drift detection method for data streams	8
Structural iterative lexicographic autoencoded node representation	8
MrTF: model refinery for transductive federated learning	8
Large language models are zero-shot point-of-interest recommenders	8
Overlapping community detection with a new modularity measure in directed weighted networks	8
Binary quantification and dataset shift: an experimental investigation	8
Sequential query prediction based on multi-armed bandits with ensemble of transformer experts and immediate feedback	7
On regime changes in text data using hidden Markov model of contaminated vMF distribution	7
Online concept evolution detection based on active learning	7
An external stability audit framework to test the validity of personality prediction in AI hiring	7
ArcMatch: high-performance subgraph matching for labeled graphs by exploiting edge domains	7
Community detection in interval-weighted networks	7
Topic-aware influence maximization with deep reinforcement learning and graph attention networks	7
Benchmarking and survey of explanation methods for black box models	7
Entity completion for industrial knowledge graph based on zero-shot learning	7
Session-based recommendation by exploiting substitutable and complementary relationships from multi-behavior data	6
Deep clustering for large-scale interpretable time series segmentation	6
MIRACLE: Malware image recognition and classification by layered extraction	6
Counterfactual inference with latent variable and its application in mental health care	5
ContE: contextualized knowledge graph embedding for circular relations	5
HyEED: embedding learning of knowledge graphs with entity description in hyperbolic space	5
On the number of iterations of the DBA algorithm	5
Improving position encoding of transformers for multivariate time series classification	5
Fairness in vulnerable attribute prediction on social media	5
SOKNL: A novel way of integrating K-nearest neighbours with adaptive random forest regression for data streams	5
An attention matrix for every decision: faithfulness-based arbitration among multiple attention-based interpretations of transformers in text classification	5
Negative-sample-free knowledge graph embedding	5
GeoRF: a geospatial random forest	5
Detecting and reacting to smart home novelties	5
Z-Time: efficient and effective interpretable multivariate time series classification	5
Strengthening ties towards a highly-connected world	5
BDRI: block decomposition based on relational interaction for knowledge graph completion	5
OEC: an online ensemble classifier for mining data streams with noisy labels	5
INK: knowledge graph embeddings for node classification	5
Knowledge graph embedding methods for entity alignment: experimental review	5
Large scale K-means clustering using GPUs	5
Fastere: a fast framework for entity relation extractions	5
Regularization-based methods for ordinal quantification	5
Exploring potential biases towards blockbuster items in ranking-based recommendations	5
Robust regression via error tolerance	5
MERLIN++: parameter-free discovery of time series anomalies	5
Efficient outlier detection in numerical and categorical data	4
Improving graph-based recommendation with unraveled graph learning	4
Explainable contextual anomaly detection using quantile regression forests	4
Provable randomized rounding for minimum-similarity diversification	4
Tractable probabilistic models and computational complexity	4
A multi-scale time series forecasting framework with temporal hierarchical information fusion and reconciliation	4
Improving the core resilience of real-world hypergraphs	4
Large language models are few-shot multivariate time series classifiers	4
Certifying robustness of graph convolutional networks for node perturbation with polyhedra abstract interpretation	4
ARM-stream: active recovery of miscategorizations in clustering-based data stream classifiers	4
The impact of variable ordering on Bayesian network structure learning	4
Differentiated matching for individual and average treatment effect estimation	4
kNN matrix profile for knowledge discovery from time series	4
Explaining deep convolutional models by measuring the influence of interpretable features in image classification	4

Model-agnostic variable importance for predictive uncertainty: an entropy-based approach	4
ConvMOS: climate model output statistics with deep learning	4
Multi-neighbor social recommendation with attentional graph convolutional network	4
Conclusive local interpretation rules for random forests	4
Uplift modeling with quasi-loss-functions	4
A spatiotemporal deep neural network for fine-grained multi-horizon wind prediction	4
ARL: analogical reinforcement learning for knowledge graph reasoning	4
Sequential stratified regeneration: MCMC for large state spaces with an application to subgraph count estimation	4
Effective interpretable learning for large-scale categorical data	4
Using differential evolution for an attribute-weighted inverted specific-class distance measure for nominal attributes	4
CSCN: an efficient snapshot ensemble learning based sparse transformer model for long-range spatial-temporal traffic flow prediction	3
Multiple-input neural networks for time series forecasting incorporating historical and prospective context	3
Weighted sparse simplex representation: a unified framework for subspace clustering, constrained clustering, and active learning	3
Regularized impurity reduction: accurate decision trees with complexity guarantees	3
Fed-FUEL: fairness and utility enhancing agnostic federated learning framework	3
Design and evaluation of highly accurate smart contract code vulnerability detection framework	3
Learning a consensus sub-network with polarization regularization and one pass training	3
A systematic review of deep learning for structural geological interpretation	3
trie-nlg: trie context augmentation to improve personalized query auto-completion for short and unseen prefixes	3
Relation prediction based on the attention-enhanced fusion of graph strcuture and multi-hop neighborhood information in knowledge graphs	3
Multi-relational knowledge graph contrastive learning for link prediction	3
Stratify: unifying multi-step forecasting strategies	3
Bias characterization, assessment, and mitigation in location-based recommender systems	3
LoCoMotif: discovering time-warped motifs in time series	3
The Hadamard decomposition problem	3
Series2vec: similarity-based self-supervised representation learning for time series classification	3
Correction to: Studying bias in visual features through the lens of optimal transport	3
Fast block-wise partitioning for extreme multi-label classification	3
A combinatorial multi-armed bandit approach to correlation clustering	3
Enhancing cluster analysis via topological manifold learning	3
Interplay between topology and edge weights in real-world graphs: concepts, patterns, and an algorithm	3
Distilcyphergpt: enhancing large language models for knowledge graph question answering in cypher through knowledge distillation	3