Data Mining and Knowledge Discovery

Article	Citations
A probabilistic model for API contract specification retrieval focusing on the openAPI standard	154
Joint dynamic topic model for recognition of lead-lag relationship in two text corpora	121
Who can receive the pass? A computational model for quantifying availability in soccer	113
Counterfactual explanations as interventions in latent space	98
Knowledge graph completion based on asymmetric translation and automatic entity type representation	66
Exploiting sensor data in professional road cycling: personalized data-driven approach for frequent fitness monitoring	61
Representing ensembles of networks for fuzzy cluster analysis: a case study	61
Discord-based counterfactual explanations for time series classification	50
Thompson sampling-based recursive block elimination for dynamic assignment under limited budget in pure-exploration	49
TCMI: a non-parametric mutual-dependence estimator for multivariate continuous distributions	49
Correction: Marginal effects for non-linear prediction functions	49
The grammar of interactive explanatory model analysis	43
Traffic forecasting on new roads using spatial contrastive pre-training (SCPT)	39
Hydra: competing convolutional kernels for fast and accurate time series classification	38
Wisdom of the contexts: active ensemble learning for contextual anomaly detection	37
VEM$$^2$$L: an easy but effective framework for fusing text and structure knowledge on sparse knowledge graph completion	36
Reflective-net: learning from explanations	35
MMA: metadata supported multi-variate attention for onset detection and prediction	35
Dynamic cyber risk estimation with competitive quantile autoregression	28
Neural content-aware collaborative filtering for cold-start music recommendation	24
Correction: Bake off redux: a review and experimental evaluation of recent time series classification algorithms	21
SALτ: efficiently stopping TAR by improving priors estimates	20
TenGAN: adversarially generating multiplex tensor graphs	20
On computing exact means of time series using the move-split-merge metric	20
Improving neural network’s robustness on tabular data with D-layers	20

Approximation trees: statistical reproducibility in model distillation	19
Explainable decomposition of nested dense subgraphs	19
AA-forecast: anomaly-aware forecast for extreme events	17
Generalized core maintenance of dynamic bipartite graphs	17
Robust explainer recommendation for time series classification	17
Interpretable representations in explainable AI: from theory to practice	17
MultiRocket: multiple pooling operators and transformations for fast and effective time series classification	16
Contextualization of soccer analysis with tactical periodization and machine learning	16
On GNN explainability with activation rules	16
What do anomaly scores actually mean? Dynamic characteristics beyond accuracy	16
On the evaluation of outlier detection and one-class classification: a comparative study of algorithms, model selection, and ensembles	16
Multilayer horizontal visibility graphs for multivariate time series analysis	16
Exploiting second-order dissimilarity representations for hierarchical clustering and visualization	15
Robust and sparse multinomial regression in high dimensions	15
Explainable and interpretable machine learning and data mining	15
Topic change point detection using a mixed Bayesian model	15
Explanatory artificial intelligence (YAI): human-centered explanations of explainable AI and complex data	15
EmbAssi: embedding assignment costs for similarity search in large graph databases	14
Hyperbolic node embedding for temporal networks	14
Sky-signatures: detecting and characterizing recurrent behavior in sequential data	14
Efficient algorithms for fair clustering with a new notion of fairness	14
Random walks with variable restarts for negative-example-informed label propagation	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
Algorithmic fairness datasets: the story so far	13
BROCCOLI: overlapping and outlier-robust biclustering through proximal stochastic gradient descent	12
PAC-Bayesian lifelong learning for multi-armed bandits	12
Bounding the family-wise error rate in local causal discovery using Rademacher averages	12
Unsupervised feature based algorithms for time series extrinsic regression	12
Hypercore decomposition for non-fragile hyperedges: concepts, algorithms, observations, and applications	11
Randomnet: clustering time series using untrained deep neural networks	11
Mondrian forest for data stream classification under memory constraints	11
NICE: an algorithm for nearest instance counterfactual explanations	11
Link prediction in dynamic networks using random dot product graphs	11
Unsupervised domain adaptation with non-stochastic missing data	10
Missing value replacement in strings and applications	10
Synwalk: community detection via random walk modelling	10
K-plex cover pooling for graph neural networks	10
Structural learning of simple staged trees	10
Making clusterings fairer by post-processing: algorithms, complexity results and experiments	10
Inferring tie strength in temporal networks	10
An eager splitting strategy for online decision trees in ensembles	10
When graph convolution meets double attention: online privacy disclosure detection with multi-label text classification	10
Dynamic self-paced sampling ensemble for highly imbalanced and class-overlapped data classification	9
Temporal state change Bayesian networks for modeling of evolving multivariate state sequences: model, structure discovery and parameter estimation	9
Model-agnostic feature importance and effects with dependent features: a conditional subgroup approach	9
Locality adaptive incomplete multi-view subspace clustering	9
Detach-ROCKET: sequential feature selection for time series classification with random convolutional kernels	9
ClaSP: parameter-free time series segmentation	9
Grouped feature importance and combined features effect plot	9

Robust subgroup discovery	8
PETSC: pattern-based embedding for time series classification	8
A Lagrangian-based score for assessing the quality of pairwise constraints in semi-supervised clustering	8
Central node identification via weighted kernel density estimation	8
Intersectional fair ranking via subgroup divergence	8
Modelling event sequence data by type-wise neural point process	7
Knowledge graph embedding closed under composition	7
i-Align: an interpretable knowledge graph alignment model	7
Marginal effects for non-linear prediction functions	7
MrTF: model refinery for transductive federated learning	7
Structural iterative lexicographic autoencoded node representation	7
Sentiment analysis in tweets: an assessment study from classical to modern word representation models	7
Binary quantification and dataset shift: an experimental investigation	7
Bake off redux: a review and experimental evaluation of recent time series classification algorithms	7
Continuous treatment effect estimation via generative adversarial de-confounding	7
One-shot relational learning for extrapolation reasoning on temporal knowledge graphs	7
A tale of two roles: exploring topic-specific susceptibility and influence in cascade prediction	7
An external stability audit framework to test the validity of personality prediction in AI hiring	7
Benchmarking and survey of explanation methods for black box models	6
ArcMatch: high-performance subgraph matching for labeled graphs by exploiting edge domains	6
Sequential query prediction based on multi-armed bandits with ensemble of transformer experts and immediate feedback	6
Strengthening ties towards a highly-connected world	6
Data-driven learning optimal K values for K-nearest neighbour matching in causal inference	6
Session-based recommendation by exploiting substitutable and complementary relationships from multi-behavior data	6
On regime changes in text data using hidden Markov model of contaminated vMF distribution	6
Community detection in interval-weighted networks	6
Z-Time: efficient and effective interpretable multivariate time series classification	6
Online concept evolution detection based on active learning	6
BDRI: block decomposition based on relational interaction for knowledge graph completion	5
MIRACLE: Malware image recognition and classification by layered extraction	5
HyEED: embedding learning of knowledge graphs with entity description in hyperbolic space	5
SOKNL: A novel way of integrating K-nearest neighbours with adaptive random forest regression for data streams	5
OEC: an online ensemble classifier for mining data streams with noisy labels	5
Mint: MDL-based approach for Mining INTeresting Numerical Pattern Sets	5
Regularization-based methods for ordinal quantification	5
Large scale K-means clustering using GPUs	5
Inferring range of information diffusion based on historical frequent items	5
Fairness in vulnerable attribute prediction on social media	5
Improving position encoding of transformers for multivariate time series classification	5
Exploring potential biases towards blockbuster items in ranking-based recommendations	5
GeoRF: a geospatial random forest	5
Knowledge graph embedding methods for entity alignment: experimental review	5
ContE: contextualized knowledge graph embedding for circular relations	4
Differentially Private Distance Learning in Categorical Data	4
MultiETSC: automated machine learning for early time series classification	4
Robust regression via error tolerance	4
Efficient outlier detection in numerical and categorical data	4
Attention based adversarially regularized learning for network embedding	4
Explainable contextual anomaly detection using quantile regression forests	4
Mining sequences with exceptional transition behaviour of varying order using quality measures based on information-theoretic scoring functions	4
INK: knowledge graph embeddings for node classification	4
Counterfactual inference with latent variable and its application in mental health care	4
Negative-sample-free knowledge graph embedding	4
Matrix sketching for supervised classification with imbalanced classes	4
Model-agnostic variable importance for predictive uncertainty: an entropy-based approach	4
Conclusive local interpretation rules for random forests	4
A multi-scale time series forecasting framework with temporal hierarchical information fusion and reconciliation	4
Multi-neighbor social recommendation with attentional graph convolutional network	4
Improving graph-based recommendation with unraveled graph learning	4
Explaining deep convolutional models by measuring the influence of interpretable features in image classification	4
Using differential evolution for an attribute-weighted inverted specific-class distance measure for nominal attributes	4
An attention matrix for every decision: faithfulness-based arbitration among multiple attention-based interpretations of transformers in text classification	4
Isolation kernel: the X factor in efficient and effective large scale online kernel learning	4
Effective interpretable learning for large-scale categorical data	4
ConvMOS: climate model output statistics with deep learning	4
Improving the core resilience of real-world hypergraphs	4
Sequential stratified regeneration: MCMC for large state spaces with an application to subgraph count estimation	4
Uplift modeling with quasi-loss-functions	4
MERLIN++: parameter-free discovery of time series anomalies	4
Scalable classifier-agnostic channel selection for multivariate time series classification	3
Early abandoning and pruning for elastic distances including dynamic time warping	3
Bias characterization, assessment, and mitigation in location-based recommender systems	3
LoCoMotif: discovering time-warped motifs in time series	3
A spatiotemporal deep neural network for fine-grained multi-horizon wind prediction	3
Design and evaluation of highly accurate smart contract code vulnerability detection framework	3
Fast block-wise partitioning for extreme multi-label classification	3
Correction to: Studying bias in visual features through the lens of optimal transport	3
An alternating nonmonotone projected Barzilai–Borwein algorithm of nonnegative factorization of big matrices	3
A systematic review of deep learning for structural geological interpretation	3
A combinatorial multi-armed bandit approach to correlation clustering	3

Cost-sensitive ensemble learning: a unifying framework	3
Tractable probabilistic models and computational complexity	3
Interplay between topology and edge weights in real-world graphs: concepts, patterns, and an algorithm	3
kNN matrix profile for knowledge discovery from time series	3
Differentiated matching for individual and average treatment effect estimation	3
Series2vec: similarity-based self-supervised representation learning for time series classification	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
CSCN: an efficient snapshot ensemble learning based sparse transformer model for long-range spatial-temporal traffic flow prediction	3
Enhancing cluster analysis via topological manifold learning	3
ARL: analogical reinforcement learning for knowledge graph reasoning	3
Provable randomized rounding for minimum-similarity diversification	3
The impact of variable ordering on Bayesian network structure learning	3
Regularized impurity reduction: accurate decision trees with complexity guarantees	3
A two-step anomaly detection based method for PU classification in imbalanced data sets	3
Proximity forest 2.0: a new effective and scalable similarity-based classifier for time series	3
Deep anomaly detection with partition contrastive learning for tabular data	2
Proxy-enhanced cross-domain sequential recommendation	2
A comparative evaluation of clustering-based outlier detection	2
Enforcing fairness using ensemble of diverse Pareto-optimal models	2
Sparse oblique decision trees: a tool to understand and manipulate neural net features	2
Exploring uplift modeling with high class imbalance	2
Controlling hallucinations at word level in data-to-text generation	2
An anomaly aware network embedding framework for unsupervised anomalous link detection	2
MODE-Bi-GRU: orthogonal independent Bi-GRU model with multiscale feature extraction	2
Hybrid Bayesian network discovery with latent variables by scoring multiple interventions	2
An efficient procedure for mining egocentric temporal motifs	2
Chebyshev approaches for imbalanced data streams regression models	2
Reciprocity in directed hypergraphs: measures, findings, and generators	2
A hyperbolic approach for learning communities on graphs	2
The art of centering without centering for robust principal component analysis	2
The Hadamard decomposition problem	2
Weighted sparse simplex representation: a unified framework for subspace clustering, constrained clustering, and active learning	2
Generalized density attractor clustering for incomplete data	2
Transfer how much: a fine-grained measure of the knowledge transferability of user behavior sequences in social network	2
Simplification of genetic programs: a literature survey	2
Data debiasing via causal diffusion model	2
Fake review detection on online E-commerce platforms: a systematic literature review	2
FRAPPE: fast rank approximation with explainable features for tensors	2
Implicit consensus clustering from multiple graphs	2
Correction: FRAPPE: fast rank approximation with explainable features for tensors	2
Exploring the diverse world of SAX-based methodologies	2
Enhancing racism classification: an automatic multilingual data annotation system using self-training and CNN	2
VFC-SMOTE: very fast continuous synthetic minority oversampling for evolving data streams	2
trie-nlg: trie context augmentation to improve personalized query auto-completion for short and unseen prefixes	2
Social norm bias: residual harms of fairness-aware algorithms	2
Clustering using GRASP and path relinking for the max k-cut problem	2
Time series clustering with random convolutional kernels	2
AURORA: A Unified fRamework fOR Anomaly detection on multivariate time series	2