Data Mining and Knowledge Discovery

Article	Citations
A probabilistic model for API contract specification retrieval focusing on the openAPI standard	194
Knowledge graph completion based on asymmetric translation and automatic entity type representation	153
Joint dynamic topic model for recognition of lead-lag relationship in two text corpora	130
Who can receive the pass? A computational model for quantifying availability in soccer	122
Counterfactual explanations as interventions in latent space	99
Correction: Marginal effects for non-linear prediction functions	85
Combating confirmation bias: a unified pseudo-labeling framework for entity alignment	78
The grammar of interactive explanatory model analysis	62
Traffic forecasting on new roads using spatial contrastive pre-training (SCPT)	57
Representing ensembles of networks for fuzzy cluster analysis: a case study	54
Thompson sampling-based recursive block elimination for dynamic assignment under limited budget in pure-exploration	48
TCMI: a non-parametric mutual-dependence estimator for multivariate continuous distributions	47
Exploiting sensor data in professional road cycling: personalized data-driven approach for frequent fitness monitoring	46
Discord-based counterfactual explanations for time series classification	44
Hydra: competing convolutional kernels for fast and accurate time series classification	44
VEM$$^2$$L: an easy but effective framework for fusing text and structure knowledge on sparse knowledge graph completion	43
Fine-grained multi-prompt essay scoring with multi-level disentanglement	37
Dynamic cyber risk estimation with competitive quantile autoregression	30
Reflective-net: learning from explanations	27
MMA: metadata supported multi-variate attention for onset detection and prediction	24
Wisdom of the contexts: active ensemble learning for contextual anomaly detection	24
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
TenGAN: adversarially generating multiplex tensor graphs	22
SALτ: efficiently stopping TAR by improving priors estimates	21

Improving neural network’s robustness on tabular data with D-layers	21
Approximation trees: statistical reproducibility in model distillation	20
OLIVANDER: a counterfactual-based method to generate adversarial Windows PE malware	20
On computing exact means of time series using the move-split-merge metric	20
Explainable decomposition of nested dense subgraphs	20
Correction: Deep anomaly detection with partition contrastive learning for tabular data	18
AA-forecast: anomaly-aware forecast for extreme events	18
Generalized core maintenance of dynamic bipartite graphs	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	18
Optirefine: densest subgraphs and maximum cuts with k refinements	18
Interpretable representations in explainable AI: from theory to practice	18
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
Multilayer horizontal visibility graphs for multivariate time series analysis	17
Does user-end work? User-item-aware knowledge graph convolutional networks for recommendation	16
Contextualization of soccer analysis with tactical periodization and machine learning	16
Robust and sparse multinomial regression in high dimensions	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
EmbAssi: embedding assignment costs for similarity search in large graph databases	15
Explainable and interpretable machine learning and data mining	15
On GNN explainability with activation rules	15
Exploiting second-order dissimilarity representations for hierarchical clustering and visualization	15
Efficient algorithms for fair clustering with a new notion of fairness	14
Topic change point detection using a mixed Bayesian model	14
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
SimHawNet: a modified Hawkes process for temporal network simulation	13
Random walks with variable restarts for negative-example-informed label propagation	12
Mondrian forest for data stream classification under memory constraints	12
Bounding the family-wise error rate in local causal discovery using Rademacher averages	12
NICE: an algorithm for nearest instance counterfactual explanations	12
Hypercore decomposition for non-fragile hyperedges: concepts, algorithms, observations, and applications	12
PAC-Bayesian lifelong learning for multi-armed bandits	12
Randomnet: clustering time series using untrained deep neural networks	11
Unsupervised domain adaptation with non-stochastic missing data	11
Metadata supported scale space attention networks for multivariate timeseries prediction	11
Unsupervised feature based algorithms for time series extrinsic regression	11
Making clusterings fairer by post-processing: algorithms, complexity results and experiments	11
Inferring tie strength in temporal networks	10
Missing value replacement in strings and applications	10
An eager splitting strategy for online decision trees in ensembles	10
Locality adaptive incomplete multi-view subspace clustering	9
ClaSP: parameter-free time series segmentation	9
Temporal state change Bayesian networks for modeling of evolving multivariate state sequences: model, structure discovery and parameter estimation	9
Dynamic self-paced sampling ensemble for highly imbalanced and class-overlapped data classification	9
When graph convolution meets double attention: online privacy disclosure detection with multi-label text classification	9
Grouped feature importance and combined features effect plot	9

Model-agnostic feature importance and effects with dependent features: a conditional subgroup approach	9
Structural learning of simple staged trees	9
Synwalk: community detection via random walk modelling	9
SFC: a time series decomposition attention network with continuous nature for time series analysis	9
Sequential pattern detection: similarities and differences across various fields	8
Central node identification via weighted kernel density estimation	8
Marginal effects for non-linear prediction functions	8
Detach-ROCKET: sequential feature selection for time series classification with random convolutional kernels	8
Robust subgroup discovery	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
Stable graph based decision route explanation in siamese neural networks	8
Hamming encoder: mining discriminative k-mers for discrete sequence classification	8
Modelling event sequence data by type-wise neural point process	8
PETSC: pattern-based embedding for time series classification	8
A tale of two roles: exploring topic-specific susceptibility and influence in cascade prediction	7
TSelect: selecting relevant and non-redundant channels for multivariate time series classification	7
Large language models are zero-shot point-of-interest recommenders	7
JammyTS: joint attention and memory network for temporal scoping of facts	7
Overlapping community detection with a new modularity measure in directed weighted networks	7
Topic-aware influence maximization with deep reinforcement learning and graph attention networks	7
Bake off redux: a review and experimental evaluation of recent time series classification algorithms	7
An external stability audit framework to test the validity of personality prediction in AI hiring	7
Data-driven learning optimal K values for K-nearest neighbour matching in causal inference	7
i-Align: an interpretable knowledge graph alignment model	6
Benchmarking and survey of explanation methods for black box models	6
ArcMatch: high-performance subgraph matching for labeled graphs by exploiting edge domains	6
Binary quantification and dataset shift: an experimental investigation	6
MrTF: model refinery for transductive federated learning	6
Sequential query prediction based on multi-armed bandits with ensemble of transformer experts and immediate feedback	6
Z-Time: efficient and effective interpretable multivariate time series classification	6
Trace alignment algorithm optimization	6
One-shot relational learning for extrapolation reasoning on temporal knowledge graphs	6
Structural iterative lexicographic autoencoded node representation	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
RMIDDM: an unsupervised and interpretable concept drift detection method for data streams	6
Strengthening ties towards a highly-connected world	5
Improving position encoding of transformers for multivariate time series classification	5
Knowledge graph embedding methods for entity alignment: experimental review	5
HyEED: embedding learning of knowledge graphs with entity description in hyperbolic space	5
Fairness in vulnerable attribute prediction on social media	5
BDRI: block decomposition based on relational interaction for knowledge graph completion	5
Mint: MDL-based approach for Mining INTeresting Numerical Pattern Sets	5
Regularization-based methods for ordinal quantification	5
Fastere: a fast framework for entity relation extractions	5
Inferring range of information diffusion based on historical frequent items	5
Session-based recommendation by exploiting substitutable and complementary relationships from multi-behavior data	5
MIRACLE: Malware image recognition and classification by layered extraction	5
Community detection in interval-weighted networks	5
SOKNL: A novel way of integrating K-nearest neighbours with adaptive random forest regression for data streams	5
Detecting and reacting to smart home novelties	5
An attention matrix for every decision: faithfulness-based arbitration among multiple attention-based interpretations of transformers in text classification	4
ContE: contextualized knowledge graph embedding for circular relations	4
Mining sequences with exceptional transition behaviour of varying order using quality measures based on information-theoretic scoring functions	4
ConvMOS: climate model output statistics with deep learning	4
Efficient outlier detection in numerical and categorical data	4
MERLIN++: parameter-free discovery of time series anomalies	4
Using differential evolution for an attribute-weighted inverted specific-class distance measure for nominal attributes	4
Robust regression via error tolerance	4
Counterfactual inference with latent variable and its application in mental health care	4
Improving the core resilience of real-world hypergraphs	4
Explainable contextual anomaly detection using quantile regression forests	4
Model-agnostic variable importance for predictive uncertainty: an entropy-based approach	4
INK: knowledge graph embeddings for node classification	4
On the number of iterations of the DBA algorithm	4
Negative-sample-free knowledge graph embedding	4
GeoRF: a geospatial random forest	4
Matrix sketching for supervised classification with imbalanced classes	4
Large language models are few-shot multivariate time series classifiers	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
OEC: an online ensemble classifier for mining data streams with noisy labels	4
Effective interpretable learning for large-scale categorical data	4
Exploring potential biases towards blockbuster items in ranking-based recommendations	4
Large scale K-means clustering using GPUs	4
The impact of variable ordering on Bayesian network structure learning	3
Sequential stratified regeneration: MCMC for large state spaces with an application to subgraph count estimation	3
kNN matrix profile for knowledge discovery from time series	3

Learning a consensus sub-network with polarization regularization and one pass training	3
Provable randomized rounding for minimum-similarity diversification	3
Distilcyphergpt: enhancing large language models for knowledge graph question answering in cypher through knowledge distillation	3
Fast block-wise partitioning for extreme multi-label classification	3
Enhancing cluster analysis via topological manifold learning	3
Explaining deep convolutional models by measuring the influence of interpretable features in image classification	3
Improving graph-based recommendation with unraveled graph learning	3
Conclusive local interpretation rules for random forests	3
Stratify: unifying multi-step forecasting strategies	3
A systematic review of deep learning for structural geological interpretation	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
CSCN: an efficient snapshot ensemble learning based sparse transformer model for long-range spatial-temporal traffic flow prediction	3
Bias characterization, assessment, and mitigation in location-based recommender systems	3
Tractable probabilistic models and computational complexity	3
ARM-stream: active recovery of miscategorizations in clustering-based data stream classifiers	3
ARL: analogical reinforcement learning for knowledge graph reasoning	3
Regularized impurity reduction: accurate decision trees with complexity guarantees	3
Fed-FUEL: fairness and utility enhancing agnostic federated learning framework	3
Differentiated matching for individual and average treatment effect estimation	3
Relation prediction based on the attention-enhanced fusion of graph strcuture and multi-hop neighborhood information in knowledge graphs	3
Interplay between topology and edge weights in real-world graphs: concepts, patterns, and an algorithm	3
Multiple-input neural networks for time series forecasting incorporating historical and prospective context	3
LoCoMotif: discovering time-warped motifs in time series	3
Series2vec: similarity-based self-supervised representation learning for time series classification	3
Uplift modeling with quasi-loss-functions	3
The Hadamard decomposition problem	2
FRAPPE: fast rank approximation with explainable features for tensors	2
Reciprocity in directed hypergraphs: measures, findings, and generators	2
The art of centering without centering for robust principal component analysis	2
tPARAFAC2: tracking evolving patterns in (incomplete) temporal data	2
Controlling hallucinations at word level in data-to-text generation	2
Proximity forest 2.0: a new effective and scalable similarity-based classifier for time series	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
Correction: FRAPPE: fast rank approximation with explainable features for tensors	2
Enhancing racism classification: an automatic multilingual data annotation system using self-training and CNN	2
Weighted sparse simplex representation: a unified framework for subspace clustering, constrained clustering, and active learning	2
Unpacking the trend: decomposition as a catalyst to enhance time series forecasting models	2
Structure-aware decoupled imputation network for multivariate time series	2
Correction to: Studying bias in visual features through the lens of optimal transport	2
Exploring uplift modeling with high class imbalance	2
Enforcing fairness using ensemble of diverse Pareto-optimal models	2
Proxy-enhanced cross-domain sequential recommendation	2
Generalized density attractor clustering for incomplete data	2
MODE-Bi-GRU: orthogonal independent Bi-GRU model with multiscale feature extraction	2
A two-step anomaly detection based method for PU classification in imbalanced data sets	2
A combinatorial multi-armed bandit approach to correlation clustering	2
Scalable classifier-agnostic channel selection for multivariate time series classification	2