Machine Learning

Article	Citations
On testing transitivity in online preference learning	745
Fast spectral analysis for approximate nearest neighbor search	225
One-Stage Tree: end-to-end tree builder and pruner	161
Towards adaptive unknown authentication for universal domain adaptation by classifier paradox	92
Word embeddings for retrieving tabular data from research publications	86
Learning from crowds with sparse and imbalanced annotations	84
Lifted model checking for relational MDPs	72
Assessing machine learning and data imputation approaches to handle the issue of data sparsity in sports forecasting	67
Credal ensembling in multi-class classification	55
Utilising energy function and variational inference training for learning a graph neural network architecture	51
Correction to: Deep negative correlation classification	48
De-biased two-sample U-statistics with application to conditional distribution testing	46
Adapting performance metrics for ordinal classification to interval scale: length matters	41
Automated imbalanced classification via layered learning	39
Bayesian optimization with approximate set kernels	38
Matrix-wise $$\ell _0$$-constrained sparse nonnegative least squares	38
The role of mutual information in variational classifiers	37
On the benefits of representation regularization in invariance based domain generalization	33
Dealing with the unevenness: deeper insights in graph-based attack and defense	31
Distilling ensemble of explanations for weakly-supervised pre-training of image segmentation models	30
AUTOMAT[R]IX: learning simple matrix pipelines	29
Modelling spatiotemporal dynamics from Earth observation data with neural differential equations	28
Parameter identifiability of a deep feedforward ReLU neural network	27
SAMBA: safe model-based & active reinforcement learning	27
Troubleshooting image segmentation models with human-in-the-loop	26

SETAR-Tree: a novel and accurate tree algorithm for global time series forecasting	26
Multi-objective multi-armed bandit with lexicographically ordered and satisficing objectives	24
Smoothing policies and safe policy gradients	24
Partially observable environment estimation with uplift inference for reinforcement learning based recommendation	24
Speeding up neural network robustness verification via algorithm configuration and an optimised mixed integer linear programming solver portfolio	23
Online semi-supervised learning of composite event rules by combining structure and mass-based predicate similarity	22
Semi-supervised Latent Block Model with pairwise constraints	22
Multi-consensus decentralized primal-dual fixed point algorithm for distributed learning	21
Subspace Adaptation Prior for Few-Shot Learning	21
Weakly supervised change detection using guided anisotropic diffusion	20
Partitioned hybrid learning of Bayesian network structures	20
Non-technical losses detection in energy consumption focusing on energy recovery and explainability	19
Differentially private Riemannian optimization	19
Multiclass optimal classification trees with SVM-splits	19
Riemannian block SPD coupling manifold and its application to optimal transport	17
Tackle balancing constraints in semi-supervised ordinal regression	17
MAP inference algorithms without approximation for collective graphical models on path graphs via discrete difference of convex algorithm	17
Reachable sets of classifiers and regression models: (non-)robustness analysis and robust training	17
Composition of relational features with an application to explaining black-box predictors	17
Machine learning in corporate credit rating assessment using the expanded audit report	17
Explanatory machine learning for sequential human teaching	17
Graph-based semi-supervised learning via improving the quality of the graph dynamically	16
Fast linear model trees by PILOT	15
Kalt: generating adversarial explainable chinese legal texts	15
InfoGram and admissible machine learning	15
Jaccard-constrained dense subgraph discovery	15
SWoTTeD: an extension of tensor decomposition to temporal phenotyping	14
Inductive learning of answer set programs for autonomous surgical task planning	14
Meta-learning for heterogeneous treatment effect estimation with closed-form solvers	14
Moreau-Yoshida variational transport: a general framework for solving regularized distributional optimization problems	14
Neural discovery of balance-aware polarized communities	14
Regional bias in monolingual English language models	14
A deep learning approach using natural language processing and time-series forecasting towards enhanced food safety	13
Online strongly convex optimization with unknown delays	13
Optimal clustering from noisy binary feedback	13
Inclusion of domain-knowledge into GNNs using mode-directed inverse entailment	12
Towards harnessing feature embedding for robust learning with noisy labels	12
Reinforcement learning tutor better supported lower performers in a math task	12
Positive-unlabeled classification under class-prior shift: a prior-invariant approach based on density ratio estimation	12
Adaptive infinite dropout for noisy and sparse data streams	12
Online learning of network bottlenecks via minimax paths	12
Can metafeatures help improve explanations of prediction models when using behavioral and textual data?	12
Explicit Explore, Exploit, or Escape ($$E^4$$): near-optimal safety-constrained reinforcement learning in polynomial time	12
Traditional and context-specific spam detection in low resource settings	12
RB-CCR: Radial-Based Combined Cleaning and Resampling algorithm for imbalanced data classification	11
PANACEA: a neural model ensemble for cyber-threat detection	11
Achieving adversarial robustness via sparsity	11
Machine truth serum: a surprisingly popular approach to improving ensemble methods	11
Learning programs by learning from failures	11
Hitting the target: stopping active learning at the cost-based optimum	11

SAED: self-attentive energy disaggregation	11
A new large-scale learning algorithm for generalized additive models	11
PAC-learning with approximate predictors	11
A geometric framework for multiclass ensemble classifiers	11
Differentiable learning of matricized DNFs and its application to Boolean networks	11
Permutation-invariant linear classifiers	10
Fully convolutional open set segmentation	10
How to be fair? A study of label and selection bias	10
Semantic-enhanced graph neural networks with global context representation	10
Transforming variables to central normality	10
Embed2Detect: temporally clustered embedded words for event detection in social media	10
Nested barycentric coordinate system as an explicit feature map for polyhedra approximation and learning tasks	10
Weighting non-IID batches for out-of-distribution detection	10
Word embeddings-based transfer learning for boosted relational dependency networks	10
Interpreting machine-learning models in transformed feature space with an application to remote-sensing classification	10
Pruning during training by network efficacy modeling	10
Robust reputation independence in ranking systems for multiple sensitive attributes	10
HIVE-COTE 2.0: a new meta ensemble for time series classification	9
Normalizing flow sampling with Langevin dynamics in the latent space	9
Fairness seen as global sensitivity analysis	9
OWL2Vec*: embedding of OWL ontologies	9
A review on instance ranking problems in statistical learning	9
No regret sample selection with noisy labels	9
Extracting automata from recurrent neural networks using queries and counterexamples (extended version)	9
Manas: multi-agent neural architecture search	9
Efficient fair principal component analysis	9
ResGCN: attention-based deep residual modeling for anomaly detection on attributed networks	9
GS2P: a generative pre-trained learning to rank model with over-parameterization for web-scale search	9
Multimodal deep learning for cetacean distribution modeling of fin whales (Balaenoptera physalus) in the western Mediterranean Sea	9
Spike2CGR: an efficient method for spike sequence classification using chaos game representation	9
Detect, Understand, Act: A Neuro-symbolic Hierarchical Reinforcement Learning Framework	8
A study of BERT for context-aware neural machine translation	8
Learning to bid and rank together in recommendation systems	8
Compositional scene modeling with global object-centric representations	8
Misclassification bounds for PAC-Bayesian sparse deep learning	8
Model-free inverse reinforcement learning with multi-intention, unlabeled, and overlapping demonstrations	8
Recursive tree grammar autoencoders	8
Bandit algorithms to personalize educational chatbots	8
Adaptive covariate acquisition for minimizing total cost of classification	8
SLISEMAP: supervised dimensionality reduction through local explanations	8
Resolving power: a general approach to compare the distinguishing ability of threshold-free evaluation metrics	8
Learning multi-axis representation in frequency domain for medical image segmentation	8
Explainable online ensemble of deep neural network pruning for time series forecasting	8
Surrogate models of radiative transfer codes for atmospheric trace gas retrievals from satellite observations	8
Are LSTMs good few-shot learners?	8
Correction: Learning sample-aware threshold for semi-supervised learning	8
SA-LfV: self-annotated labeling from videos for object detection	8
PerfoRank: cluster-based performance ranking for improved performance evaluation and estimation in professional cycling	8
Limits of multi-relational graphs	7
Root-finding approaches for computing conformal prediction set	7
TRU-NET: a deep learning approach to high resolution prediction of rainfall	7
Loss aware post-training quantization	7
Biquality learning: a framework to design algorithms dealing with closed-set distribution shifts	7
Ensemble and continual federated learning for classification tasks	7
Optimistic optimisation of composite objective with exponentiated update	7
A taxonomy for similarity metrics between Markov decision processes	7
CMD: controllable matrix decomposition with global optimization for deep neural network compression	7
Automatic discovery of interpretable planning strategies	7
Neural predictor-based automated graph classifier framework	7
Smoothing graphons for modelling exchangeable relational data	7
Partially Hidden Markov Chain Multivariate Linear Autoregressive model: inference and forecasting—application to machine health prognostics	7
Relational data embeddings for feature enrichment with background information	7
DEFT: distilling entangled factors by preventing information diffusion	7
Optimal survival trees	7
Towards accurate knowledge transfer via target-awareness representation disentanglement	7
Bounding the Rademacher complexity of Fourier neural operators	7
Understanding transfer learning and gradient-based meta-learning techniques	6
Tensor decision trees for continual learning from drifting data streams	6
Communication-efficient clustered federated learning via model distance	6
Online active classification via margin-based and feature-based label queries	6
Top program construction and reduction for polynomial time Meta-Interpretive learning	6
Temporal silhouette: validation of stream clustering robust to concept drift	6
Improving deep label noise learning with dual active label correction	6
Responsible model deployment via model-agnostic uncertainty learning	6
Polynomial-based graph convolutional neural networks for graph classification	6
Variance reduction on general adaptive stochastic mirror descent	6
DynamiSE: dynamic signed network embedding for link prediction	6
Explaining short text classification with diverse synthetic exemplars and counter-exemplars	6
Learning system parameters from turing patterns	6
Robustness verification of ReLU networks via quadratic programming	6

Guest editorial: special issue on reinforcement learning for real life	6
FairSwiRL: fair semi-supervised classification with representation learning	6
GENs: generative encoding networks	6
Towards a foundation large events model for soccer	6
Protect privacy of deep classification networks by exploiting their generative power	6
Large scale tensor regression using kernels and variational inference	6
Learning sample-aware threshold for semi-supervised learning	6
Diverse and consistent multi-view networks for semi-supervised regression	6
SDANet: spatial deep attention-based for point cloud classification and segmentation	6
Improving sequential latent variable models with autoregressive flows	6
Maintaining AUC and H-measure over time	6
A deep reinforcement learning framework for continuous intraday market bidding	6
An accelerated proximal algorithm for regularized nonconvex and nonsmooth bi-level optimization	6
Cautious policy programming: exploiting KL regularization for monotonic policy improvement in reinforcement learning	6
A user-guided Bayesian framework for ensemble feature selection in life science applications (UBayFS)	6
Efficient private SCO for heavy-tailed data via averaged clipping	5
Holistic deep learning	5
Generalization bounds for learning under graph-dependence: a survey	5
Glacier: guided locally constrained counterfactual explanations for time series classification	5
Spatial entropy as an inductive bias for vision transformers	5
Fair and green hyperparameter optimization via multi-objective and multiple information source Bayesian optimization	5
Secure and fast asynchronous Vertical Federated Learning via cascaded hybrid optimization	5
Robust linear classification from limited training data	5
Tracking treatment effect heterogeneity in evolving environments	5
Active model selection: A variance minimization approach	5
RADE: resource-efficient supervised anomaly detection using decision tree-based ensemble methods	5
Hierarchically structured task-agnostic continual learning	5
Embedding to reference t-SNE space addresses batch effects in single-cell classification	5
L2XGNN: learning to explain graph neural networks	5
Coefficient tree regression: fast, accurate and interpretable predictive modeling	5
Neighborhood relation-based incremental label propagation algorithm for partially labeled hybrid data	5
Deep multimodal representation learning for generalizable person re-identification	5
Lagrangian objective function leads to improved unforeseen attack generalization	5
Correction to: Extracting automata from recurrent neural networks using queries and counterexamples (extended version)	5
Entity recognition based on heterogeneous graph reasoning of visual region and text candidate	5
Random fourier features for asymmetric kernels	5
LaMMOn: language model combined graph neural network for multi-target multi-camera tracking in online scenarios	5
WINTENDED: WINdowed TENsor decomposition for Densification Event Detection in time-evolving networks	5
Sample complexity of variance-reduced policy gradient: weaker assumptions and lower bounds	5
Meta-classifier free negative sampling for extreme multilabel classification	5
Greedy structure learning from data that contain systematic missing values	5
SVRG meets AdaGrad: painless variance reduction	5
Style spectroscope: improve interpretability and controllability through Fourier analysis	5
Optimal transport for conditional domain matching and label shift	4
Semi-parametric Bayes regression with network-valued covariates	4
Reinforcement learning for robotic manipulation using simulated locomotion demonstrations	4
Nrat: towards adversarial training with inherent label noise	4
Deep doubly robust outcome weighted learning	4
A framework for the fine-grained evaluation of the instantaneous expected value of soccer possessions	4
Embedding and extraction of knowledge in tree ensemble classifiers	4
Evaluating large language models for user stance detection on X (Twitter)	4
Learning any memory-less discrete semantics for dynamical systems represented by logic programs	4
IntelligentPooling: practical Thompson sampling for mHealth	4
Symbolic DNN-Tuner	4
Distribution-free conformal joint prediction regions for neural marked temporal point processes	4
Balancing policy constraint and ensemble size in uncertainty-based offline reinforcement learning	4
A flexible class of dependence-aware multi-label loss functions	4
TSFuse: automated feature construction for multiple time series data	4
Time-aware tensor decomposition for sparse tensors	4
Markov chain importance sampling for minibatches	4
Chinese character recognition with radical-structured stroke trees	4
Generalized vec trick for fast learning of pairwise kernel models	4
WEASEL 2.0: a random dilated dictionary transform for fast, accurate and memory constrained time series classification	4
Methodology and evaluation in sports analytics: challenges, approaches, and lessons learned	4
CoMadOut—a robust outlier detection algorithm based on CoMAD	4
Learning from interpretation transition using differentiable logic programming semantics	4
Distance metric learning for graph structured data	4
Reconciling privacy and utility: an unscented Kalman filter-based framework for differentially private machine learning	4
Information bottleneck and selective noise supervision for zero-shot learning	4
Supervised maximum variance unfolding	4
Analyzing and repairing concept drift adaptation in data stream classification	4
VEST: automatic feature engineering for forecasting	4
Multi-label image classification with multi-layered multi-perspective dynamic semantic representation	4
Wavelet-packets for deepfake image analysis and detection	4
Explaining recommendation system using counterfactual textual explanations	4
Linear support vector regression with linear constraints	4
Trimming stability selection increases variable selection robustness	4
Meta-learning the invariant representation for domain generalization	4
Wasserstein dropout	4
Importance sampling in reinforcement learning with an estimated behavior policy	4
Understanding imbalanced data: XAI & interpretable ML framework	4
FairMOE: counterfactually-fair mixture of experts with levels of interpretability	3
Multi-armed bandits with dependent arms	3
Toward optimal probabilistic active learning using a Bayesian approach	3
Deep learning’s shallow gains: a comparative evaluation of algorithms for automatic music generation	3
Hybrid acceleration techniques for the physics-informed neural networks: a comparative analysis	3
A parameter-less algorithm for tensor co-clustering	3
Softmin discrete minimax classifier for imbalanced classes and prior probability shifts	3
Faster Riemannian Newton-type optimization by subsampling and cubic regularization	3
Forecasting upper atmospheric scalars advection using deep learning: an $$O_3$$ experiment	3
The impact of data distribution on Q-learning with function approximation	3
Knowledge-aware image understanding with multi-level visual representation enhancement for visual question answering	3
Dense subgraphs induced by edge labels	3
Introduction to the special issue of the ECML PKDD 2021 journal track	3
Speeding-up one-versus-all training for extreme classification via mean-separating initialization	3