Data Mining and Knowledge Discovery

Article	Citations
A probabilistic model for API contract specification retrieval focusing on the openAPI standard	170
Counterfactual explanations as interventions in latent space	132
Who can receive the pass? A computational model for quantifying availability in soccer	120
Knowledge graph completion based on asymmetric translation and automatic entity type representation	106
Joint dynamic topic model for recognition of lead-lag relationship in two text corpora	80
Exploiting sensor data in professional road cycling: personalized data-driven approach for frequent fitness monitoring	75
Hydra: competing convolutional kernels for fast and accurate time series classification	58
Representing ensembles of networks for fuzzy cluster analysis: a case study	54
Discord-based counterfactual explanations for time series classification	53
Thompson sampling-based recursive block elimination for dynamic assignment under limited budget in pure-exploration	52
TCMI: a non-parametric mutual-dependence estimator for multivariate continuous distributions	44
Correction: Marginal effects for non-linear prediction functions	42
The grammar of interactive explanatory model analysis	42
Traffic forecasting on new roads using spatial contrastive pre-training (SCPT)	41
VEM$$^2$$L: an easy but effective framework for fusing text and structure knowledge on sparse knowledge graph completion	40
Wisdom of the contexts: active ensemble learning for contextual anomaly detection	39
Reflective-net: learning from explanations	33
Dynamic cyber risk estimation with competitive quantile autoregression	27
MMA: metadata supported multi-variate attention for onset detection and prediction	26
Correction: Bake off redux: a review and experimental evaluation of recent time series classification algorithms	23
Neural content-aware collaborative filtering for cold-start music recommendation	23
SALτ: efficiently stopping TAR by improving priors estimates	22
TenGAN: adversarially generating multiplex tensor graphs	22
On computing exact means of time series using the move-split-merge metric	21
Improving neural network’s robustness on tabular data with D-layers	21

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

K-plex cover pooling for graph neural networks	9
Grouped feature importance and combined features effect plot	9
Detach-ROCKET: sequential feature selection for time series classification with random convolutional kernels	8
PETSC: pattern-based embedding for time series classification	8
Temporal state change Bayesian networks for modeling of evolving multivariate state sequences: model, structure discovery and parameter estimation	8
Robust subgroup discovery	8
Intersectional fair ranking via subgroup divergence	8
A Lagrangian-based score for assessing the quality of pairwise constraints in semi-supervised clustering	8
Knowledge graph embedding closed under composition	7
Structural iterative lexicographic autoencoded node representation	7
Sentiment analysis in tweets: an assessment study from classical to modern word representation models	7
Bake off redux: a review and experimental evaluation of recent time series classification algorithms	7
Central node identification via weighted kernel density estimation	7
Sequential pattern detection: similarities and differences across various fields	7
One-shot relational learning for extrapolation reasoning on temporal knowledge graphs	7
Modelling event sequence data by type-wise neural point process	7
Continuous treatment effect estimation via generative adversarial de-confounding	7
A tale of two roles: exploring topic-specific susceptibility and influence in cascade prediction	7
MrTF: model refinery for transductive federated learning	7
Hamming encoder: mining discriminative k-mers for discrete sequence classification	7
i-Align: an interpretable knowledge graph alignment model	7
Marginal effects for non-linear prediction functions	7
Trace alignment algorithm optimization	6
On regime changes in text data using hidden Markov model of contaminated vMF distribution	6
Online concept evolution detection based on active learning	6
Data-driven learning optimal K values for K-nearest neighbour matching in causal inference	6
Binary quantification and dataset shift: an experimental investigation	6
ArcMatch: high-performance subgraph matching for labeled graphs by exploiting edge domains	6
Strengthening ties towards a highly-connected world	6
An external stability audit framework to test the validity of personality prediction in AI hiring	6
Benchmarking and survey of explanation methods for black box models	6
Session-based recommendation by exploiting substitutable and complementary relationships from multi-behavior data	6
Fairness in vulnerable attribute prediction on social media	5
Knowledge graph embedding methods for entity alignment: experimental review	5
Robust regression via error tolerance	5
GeoRF: a geospatial random forest	5
BDRI: block decomposition based on relational interaction for knowledge graph completion	5
MIRACLE: Malware image recognition and classification by layered extraction	5
Improving position encoding of transformers for multivariate time series classification	5
Exploring potential biases towards blockbuster items in ranking-based recommendations	5
Large scale K-means clustering using GPUs	5
Effective interpretable learning for large-scale categorical data	5
Regularization-based methods for ordinal quantification	5
Community detection in interval-weighted networks	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
Inferring range of information diffusion based on historical frequent items	5
Isolation kernel: the X factor in efficient and effective large scale online kernel learning	5
Matrix sketching for supervised classification with imbalanced classes	5
HyEED: embedding learning of knowledge graphs with entity description in hyperbolic space	5
Sequential query prediction based on multi-armed bandits with ensemble of transformer experts and immediate feedback	5
Z-Time: efficient and effective interpretable multivariate time series classification	5
Counterfactual inference with latent variable and its application in mental health care	4
MultiETSC: automated machine learning for early time series classification	4
Negative-sample-free knowledge graph embedding	4
LoCoMotif: discovering time-warped motifs in time series	4
Provable randomized rounding for minimum-similarity diversification	4
Interplay between topology and edge weights in real-world graphs: concepts, patterns, and an algorithm	4
Improving graph-based recommendation with unraveled graph learning	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
Improving the core resilience of real-world hypergraphs	4
ConvMOS: climate model output statistics with deep learning	4
Using differential evolution for an attribute-weighted inverted specific-class distance measure for nominal attributes	4
Efficient outlier detection in numerical and categorical data	4
A multi-scale time series forecasting framework with temporal hierarchical information fusion and reconciliation	4
Uplift modeling with quasi-loss-functions	4
A spatiotemporal deep neural network for fine-grained multi-horizon wind prediction	4
Conclusive local interpretation rules for random forests	4
The impact of variable ordering on Bayesian network structure learning	4
Model-agnostic variable importance for predictive uncertainty: an entropy-based approach	4
OEC: an online ensemble classifier for mining data streams with noisy labels	4
ContE: contextualized knowledge graph embedding for circular relations	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
ARL: analogical reinforcement learning for knowledge graph reasoning	4
Differentiated matching for individual and average treatment effect estimation	4
kNN matrix profile for knowledge discovery from time series	4
ARM-stream: active recovery of miscategorizations in clustering-based data stream classifiers	4
Explaining deep convolutional models by measuring the influence of interpretable features in image classification	4

INK: knowledge graph embeddings for node classification	4
An attention matrix for every decision: faithfulness-based arbitration among multiple attention-based interpretations of transformers in text classification	4
MERLIN++: parameter-free discovery of time series anomalies	4
Enhancing cluster analysis via topological manifold learning	3
Regularized impurity reduction: accurate decision trees with complexity guarantees	3
Proximity forest 2.0: a new effective and scalable similarity-based classifier for time series	3
Multiple-input neural networks for time series forecasting incorporating historical and prospective context	3
VFC-SMOTE: very fast continuous synthetic minority oversampling for evolving data streams	3
Structure-aware decoupled imputation network for multivariate time series	3
Series2vec: similarity-based self-supervised representation learning for time series classification	3
Cost-sensitive ensemble learning: a unifying framework	3
Bias characterization, assessment, and mitigation in location-based recommender systems	3
A combinatorial multi-armed bandit approach to correlation clustering	3
MODE-Bi-GRU: orthogonal independent Bi-GRU model with multiscale feature extraction	3
Exploring uplift modeling with high class imbalance	3
The Hadamard decomposition problem	3
Fast block-wise partitioning for extreme multi-label classification	3
trie-nlg: trie context augmentation to improve personalized query auto-completion for short and unseen prefixes	3
CSCN: an efficient snapshot ensemble learning based sparse transformer model for long-range spatial-temporal traffic flow prediction	3
Early abandoning and pruning for elastic distances including dynamic time warping	3
Design and evaluation of highly accurate smart contract code vulnerability detection framework	3
Tractable probabilistic models and computational complexity	3
A two-step anomaly detection based method for PU classification in imbalanced data sets	3
Unpacking the trend: decomposition as a catalyst to enhance time series forecasting models	3
Weighted sparse simplex representation: a unified framework for subspace clustering, constrained clustering, and active learning	3
Correction to: Studying bias in visual features through the lens of optimal transport	3
A systematic review of deep learning for structural geological interpretation	3
Learning a consensus sub-network with polarization regularization and one pass training	3