Data Mining and Knowledge Discovery

Article	Citations
A probabilistic model for API contract specification retrieval focusing on the openAPI standard	181
Counterfactual explanations as interventions in latent space	144
Who can receive the pass? A computational model for quantifying availability in soccer	122
Joint dynamic topic model for recognition of lead-lag relationship in two text corpora	116
Knowledge graph completion based on asymmetric translation and automatic entity type representation	87
Exploiting sensor data in professional road cycling: personalized data-driven approach for frequent fitness monitoring	80
Traffic forecasting on new roads using spatial contrastive pre-training (SCPT)	67
TCMI: a non-parametric mutual-dependence estimator for multivariate continuous distributions	58
Hydra: competing convolutional kernels for fast and accurate time series classification	53
Combating confirmation bias: a unified pseudo-labeling framework for entity alignment	53
Representing ensembles of networks for fuzzy cluster analysis: a case study	46
Discord-based counterfactual explanations for time series classification	45
Thompson sampling-based recursive block elimination for dynamic assignment under limited budget in pure-exploration	44
Correction: Marginal effects for non-linear prediction functions	42
VEM$$^2$$L: an easy but effective framework for fusing text and structure knowledge on sparse knowledge graph completion	41
The grammar of interactive explanatory model analysis	41
Reflective-net: learning from explanations	36
Dynamic cyber risk estimation with competitive quantile autoregression	30
Wisdom of the contexts: active ensemble learning for contextual anomaly detection	27
Neural content-aware collaborative filtering for cold-start music recommendation	24
Fine-grained multi-prompt essay scoring with multi-level disentanglement	23
MMA: metadata supported multi-variate attention for onset detection and prediction	23
Correction: Bake off redux: a review and experimental evaluation of recent time series classification algorithms	23
SALτ: efficiently stopping TAR by improving priors estimates	22
TenGAN: adversarially generating multiplex tensor graphs	22

Improving neural network’s robustness on tabular data with D-layers	22
Approximation trees: statistical reproducibility in model distillation	21
On computing exact means of time series using the move-split-merge metric	21
Explainable decomposition of nested dense subgraphs	20
Correction: Deep anomaly detection with partition contrastive learning for tabular data	20
OLIVANDER: a counterfactual-based method to generate adversarial Windows PE malware	19
AA-forecast: anomaly-aware forecast for extreme events	18
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
Robust explainer recommendation for time series classification	17
Robust and sparse multinomial regression in high dimensions	17
Generalized core maintenance of dynamic bipartite graphs	17
What do anomaly scores actually mean? Dynamic characteristics beyond accuracy	17
MultiRocket: multiple pooling operators and transformations for fast and effective time series classification	17
Explanatory artificial intelligence (YAI): human-centered explanations of explainable AI and complex data	16
On GNN explainability with activation rules	16
Explainable and interpretable machine learning and data mining	15
Contextualization of soccer analysis with tactical periodization and machine learning	15
Does user-end work? User-item-aware knowledge graph convolutional networks for recommendation	15
Multilayer horizontal visibility graphs for multivariate time series analysis	15
EmbAssi: embedding assignment costs for similarity search in large graph databases	14
Exploiting second-order dissimilarity representations for hierarchical clustering and visualization	14
Sky-signatures: detecting and characterizing recurrent behavior in sequential data	14
Efficient algorithms for fair clustering with a new notion of fairness	14
Topic change point detection using a mixed Bayesian model	14
Coupled block diagonal regularization for multi-view subspace clustering	13
Algorithmic fairness datasets: the story so far	13
SimHawNet: a modified Hawkes process for temporal network simulation	13
A comprehensive taxonomy for explainable artificial intelligence: a systematic survey of surveys on methods and concepts	12
PAC-Bayesian lifelong learning for multi-armed bandits	12
Randomnet: clustering time series using untrained deep neural networks	12
Random walks with variable restarts for negative-example-informed label propagation	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
Hypercore decomposition for non-fragile hyperedges: concepts, algorithms, observations, and applications	11
Unsupervised domain adaptation with non-stochastic missing data	11
Missing value replacement in strings and applications	11
An eager splitting strategy for online decision trees in ensembles	11
Unsupervised feature based algorithms for time series extrinsic regression	11
NICE: an algorithm for nearest instance counterfactual explanations	11
Inferring tie strength in temporal networks	11
Locality adaptive incomplete multi-view subspace clustering	10
SFC: a time series decomposition attention network with continuous nature for time series analysis	10
Dynamic self-paced sampling ensemble for highly imbalanced and class-overlapped data classification	10
Making clusterings fairer by post-processing: algorithms, complexity results and experiments	10
Model-agnostic feature importance and effects with dependent features: a conditional subgroup approach	10
When graph convolution meets double attention: online privacy disclosure detection with multi-label text classification	10
Temporal state change Bayesian networks for modeling of evolving multivariate state sequences: model, structure discovery and parameter estimation	9
ClaSP: parameter-free time series segmentation	9

Synwalk: community detection via random walk modelling	9
Structural learning of simple staged trees	9
Grouped feature importance and combined features effect plot	9
Sequential pattern detection: similarities and differences across various fields	8
PETSC: pattern-based embedding for time series classification	8
Knowledge graph embedding closed under composition	8
Sentiment analysis in tweets: an assessment study from classical to modern word representation models	8
Intersectional fair ranking via subgroup divergence	8
Hamming encoder: mining discriminative k-mers for discrete sequence classification	8
Central node identification via weighted kernel density estimation	8
A Lagrangian-based score for assessing the quality of pairwise constraints in semi-supervised clustering	8
Detach-ROCKET: sequential feature selection for time series classification with random convolutional kernels	8
Modelling event sequence data by type-wise neural point process	7
Bake off redux: a review and experimental evaluation of recent time series classification algorithms	7
One-shot relational learning for extrapolation reasoning on temporal knowledge graphs	7
Robust subgroup discovery	7
Marginal effects for non-linear prediction functions	7
Continuous treatment effect estimation via generative adversarial de-confounding	7
i-Align: an interpretable knowledge graph alignment model	7
MrTF: model refinery for transductive federated learning	7
Stable graph based decision route explanation in siamese neural networks	7
A tale of two roles: exploring topic-specific susceptibility and influence in cascade prediction	7
Structural iterative lexicographic autoencoded node representation	7
Trace alignment algorithm optimization	7
ArcMatch: high-performance subgraph matching for labeled graphs by exploiting edge domains	6
Strengthening ties towards a highly-connected world	6
Binary quantification and dataset shift: an experimental investigation	6
Overlapping community detection with a new modularity measure in directed weighted networks	6
Data-driven learning optimal K values for K-nearest neighbour matching in causal inference	6
Online concept evolution detection based on active learning	6
Topic-aware influence maximization with deep reinforcement learning and graph attention networks	6
An external stability audit framework to test the validity of personality prediction in AI hiring	6
On regime changes in text data using hidden Markov model of contaminated vMF distribution	6
Sequential query prediction based on multi-armed bandits with ensemble of transformer experts and immediate feedback	6
TSelect: selecting relevant and non-redundant channels for multivariate time series classification	6
Benchmarking and survey of explanation methods for black box models	6
Regularization-based methods for ordinal quantification	5
Large scale K-means clustering using GPUs	5
Community detection in interval-weighted networks	5
On the number of iterations of the DBA algorithm	5
GeoRF: a geospatial random forest	5
Fastere: a fast framework for entity relation extractions	5
Improving position encoding of transformers for multivariate time series classification	5
Z-Time: efficient and effective interpretable multivariate time series classification	5
MIRACLE: Malware image recognition and classification by layered extraction	5
Inferring range of information diffusion based on historical frequent items	5
Fairness in vulnerable attribute prediction on social media	5
Robust regression via error tolerance	5
BDRI: block decomposition based on relational interaction for knowledge graph completion	5
Session-based recommendation by exploiting substitutable and complementary relationships from multi-behavior data	5
Mint: MDL-based approach for Mining INTeresting Numerical Pattern Sets	5
SOKNL: A novel way of integrating K-nearest neighbours with adaptive random forest regression for data streams	5
HyEED: embedding learning of knowledge graphs with entity description in hyperbolic space	5
Knowledge graph embedding methods for entity alignment: experimental review	5
Exploring potential biases towards blockbuster items in ranking-based recommendations	5
Uplift modeling with quasi-loss-functions	4
Conclusive local interpretation rules for random forests	4
Improving the core resilience of real-world hypergraphs	4
Efficient outlier detection in numerical and categorical data	4
Negative-sample-free knowledge graph embedding	4
Effective interpretable learning for large-scale categorical data	4
MERLIN++: parameter-free discovery of time series anomalies	4
Mining sequences with exceptional transition behaviour of varying order using quality measures based on information-theoretic scoring functions	4
Explainable contextual anomaly detection using quantile regression forests	4
Explaining deep convolutional models by measuring the influence of interpretable features in image classification	4
Large language models are few-shot multivariate time series classifiers	4
OEC: an online ensemble classifier for mining data streams with noisy labels	4
ContE: contextualized knowledge graph embedding for circular relations	4
ConvMOS: climate model output statistics with deep learning	4
An attention matrix for every decision: faithfulness-based arbitration among multiple attention-based interpretations of transformers in text classification	4
Model-agnostic variable importance for predictive uncertainty: an entropy-based approach	4
Multi-neighbor social recommendation with attentional graph convolutional network	4
Sequential stratified regeneration: MCMC for large state spaces with an application to subgraph count estimation	4
ARM-stream: active recovery of miscategorizations in clustering-based data stream classifiers	4
INK: knowledge graph embeddings for node classification	4
Counterfactual inference with latent variable and its application in mental health care	4
Matrix sketching for supervised classification with imbalanced classes	4
Using differential evolution for an attribute-weighted inverted specific-class distance measure for nominal attributes	4
Improving graph-based recommendation with unraveled graph learning	4
A multi-scale time series forecasting framework with temporal hierarchical information fusion and reconciliation	4

Weighted sparse simplex representation: a unified framework for subspace clustering, constrained clustering, and active learning	3
Structure-aware decoupled imputation network for multivariate time series	3
Multiple-input neural networks for time series forecasting incorporating historical and prospective context	3
A systematic review of deep learning for structural geological interpretation	3
Design and evaluation of highly accurate smart contract code vulnerability detection framework	3
Stratify: unifying multi-step forecasting strategies	3
Provable randomized rounding for minimum-similarity diversification	3
Bias characterization, assessment, and mitigation in location-based recommender systems	3
A two-step anomaly detection based method for PU classification in imbalanced data sets	3
Fast block-wise partitioning for extreme multi-label classification	3
Proximity forest 2.0: a new effective and scalable similarity-based classifier for time series	3
CSCN: an efficient snapshot ensemble learning based sparse transformer model for long-range spatial-temporal traffic flow prediction	3
Series2vec: similarity-based self-supervised representation learning for time series classification	3
Tractable probabilistic models and computational complexity	3
Regularized impurity reduction: accurate decision trees with complexity guarantees	3
ARL: analogical reinforcement learning for knowledge graph reasoning	3
A spatiotemporal deep neural network for fine-grained multi-horizon wind prediction	3
LoCoMotif: discovering time-warped motifs in time series	3
Learning a consensus sub-network with polarization regularization and one pass training	3
Correction to: Studying bias in visual features through the lens of optimal transport	3
A combinatorial multi-armed bandit approach to correlation clustering	3
Relation prediction based on the attention-enhanced fusion of graph strcuture and multi-hop neighborhood information in knowledge graphs	3
Distilcyphergpt: enhancing large language models for knowledge graph question answering in cypher through knowledge distillation	3
Cost-sensitive ensemble learning: a unifying framework	3
Enhancing cluster analysis via topological manifold learning	3
Differentiated matching for individual and average treatment effect estimation	3
Interplay between topology and edge weights in real-world graphs: concepts, patterns, and an algorithm	3
The impact of variable ordering on Bayesian network structure learning	3
kNN matrix profile for knowledge discovery from time series	3