Machine Learning

Article	Citations
The role of mutual information in variational classifiers	198
Automated imbalanced classification via layered learning	124
Learning to bid and rank together in recommendation systems	119
Resolving power: a general approach to compare the distinguishing ability of threshold-free evaluation metrics	110
Adapting performance metrics for ordinal classification to interval scale: length matters	94
Fairness seen as global sensitivity analysis	92
One-Stage Tree: end-to-end tree builder and pruner	90
Multimodal deep learning for cetacean distribution modeling of fin whales (Balaenoptera physalus) in the western Mediterranean Sea	82
Parameter identifiability of a deep feedforward ReLU neural network	75
Compositional scene modeling with global object-centric representations	71
Maximum causal entropy inverse constrained reinforcement learning	63
Surrogate models of radiative transfer codes for atmospheric trace gas retrievals from satellite observations	59
SETAR-Tree: a novel and accurate tree algorithm for global time series forecasting	54
Semantic-enhanced graph neural networks with global context representation	54
Spike2CGR: an efficient method for spike sequence classification using chaos game representation	53
Modelling spatiotemporal dynamics from Earth observation data with neural differential equations	49
Robust reputation independence in ranking systems for multiple sensitive attributes	45
A review on instance ranking problems in statistical learning	42
Meta-learning for heterogeneous treatment effect estimation with closed-form solvers	42
Invariant representation learning via decoupling style and spurious features	41
Masked autoencoder for multiagent trajectories	35
Chinese character recognition with radical-structured stroke trees	34
A flexible class of dependence-aware multi-label loss functions	32
Maintaining AUC and H-measure over time	32
An accelerated proximal algorithm for regularized nonconvex and nonsmooth bi-level optimization	32

Towards accurate knowledge transfer via target-awareness representation disentanglement	31
Secure and fast asynchronous Vertical Federated Learning via cascaded hybrid optimization	29
Learning any memory-less discrete semantics for dynamical systems represented by logic programs	29
Glacier: guided locally constrained counterfactual explanations for time series classification	27
Trimming stability selection increases variable selection robustness	27
Efficient private SCO for heavy-tailed data via averaged clipping	27
A prompt-driven framework for multi-domain knowledge tracing	25
On the usefulness of the fit-on-test view on evaluating calibration of classifiers	25
Transfer learning with pre-trained conditional generative models	25
Multi-label image classification with multi-layered multi-perspective dynamic semantic representation	24
Optimal survival trees	23
Generalization bounds for learning under graph-dependence: a survey	23
Reinforcement learning for robotic manipulation using simulated locomotion demonstrations	23
FairSwiRL: fair semi-supervised classification with representation learning	22
Optimal transport for conditional domain matching and label shift	22
Responsible model deployment via model-agnostic uncertainty learning	21
GENs: generative encoding networks	21
Artificial intelligence for laryngoscopy in vocal fold diseases: a review of dataset, technology, and ethics	20
LaMMOn: language model combined graph neural network for multi-target multi-camera tracking in online scenarios	20
Correction to: efficient generator of mathematical expressions for symbolic regression	20
DIMBA: discretely masked black-box attack in single object tracking	20
Aligning model outputs for class imbalanced non-IID federated learning	19
Data-aware process discovery for malware detection: an empirical study	19
Exploiting sparsity and statistical dependence in multivariate data fusion: an application to misinformation detection for high-impact events	19
Progressive semantic learning for unsupervised skeleton-based action recognition	18
Autoreplicative random forests with applications to missing value imputation	18
SPA: A poisoning attack framework for graph neural networks through searching and pairing	17
The backbone method for ultra-high dimensional sparse machine learning	17
A unified framework for closed-form nonparametric regression, classification, preference and mixed problems with Skew Gaussian Processes	17
Feature ranking for semi-supervised learning	17
Dynamic datasets and market environments for financial reinforcement learning	17
A contrastive neural disentanglement approach for query performance prediction	16
Capturing the context-aware code change via dynamic control flow graph for commit message generation	16
Testing exchangeability in the batch mode with e-values and Markov alternatives	16
Paf-tracker: a novel pre-frame auxiliary and fusion visual tracker	15
Autoencoding slow representations for semi-supervised data-efficient regression	15
Reducing classifier overconfidence against adversaries through graph algorithms	15
A taxonomy of weight learning methods for statistical relational learning	15
Consensus–relevance kNN and covariate shift mitigation	15
On the Discrepancy between Kleinberg’s Clustering Axioms and k-Means Clustering Algorithm Behavior	15
Consolidated learning: a domain-specific model-free optimization strategy with validation on metaMIMIC benchmarks	14
Correction to: Model-free inverse reinforcement learning with multi-intention, unlabeled, and overlapping demonstrations	14
Multi-agent reinforcement learning for fast-timescale demand response of residential loads	14
Connecting weighted automata, tensor networks and recurrent neural networks through spectral learning	14
Probabilistic scoring lists for interpretable machine learning	14
Conformal prediction for regression models with asymmetrically distributed errors: application to aircraft navigation during landing maneuver	14
Context-aware spatio-temporal event prediction via convolutional Hawkes processes	14
Learning biologically-interpretable latent representations for gene expression data	14
One transformer for all time series: representing and training with time-dependent heterogeneous tabular data	13
Exploiting counter-examples for active learning with partial labels	13

Efficient and provable online reduced rank regression via online gradient descent	13
Coresets for kernel clustering	13
How to measure uncertainty in uncertainty sampling for active learning	13
Unmasking deception: a topic-oriented multimodal approach to uncover false information on social media	13
Correction to: Exploiting sparsity and statistical dependence in multivariate data fusion: an application to misinformation detection for high-impact events	13
An in-depth review and analysis of mode collapse in generative adversarial networks	13
Imbalanced gradients: a subtle cause of overestimated adversarial robustness	13
Ordinal regression with explainable distance metric learning based on ordered sequences	13
Event causality extraction through external event knowledge learning and polyhedral word embedding	13
Constrained regret minimization for multi-criterion multi-armed bandits	12
Understanding prediction discrepancies in classification	12
Efficient federated unlearning under plausible deniability	12
Empirical Bayes linked matrix decomposition	12
A new formulation of Lipschitz constrained with functional gradient learning for GANs	12
Applied machine learning to the determination of biochar hydrogen sulfide adsorption capacity	12
Improving kernel online learning with a snapshot memory	12
Targeted adversarial attacks on wind power forecasts	12
Online AutoML: an adaptive AutoML framework for online learning	12
Attacking neural machine translations via hybrid attention learning	12
An interpretable sample selection framework against numerical label noise	12
Forecasting short-term passenger flow via CBGC-SCI: an in-depth comparative study on Shenzhen Metro	12
Understanding generalization error of SGD in nonconvex optimization	11
Joint optimization of an autoencoder for clustering and embedding	11
Adversarial concept drift detection under poisoning attacks for robust data stream mining	11
Weighted neural tangent kernel: a generalized and improved network-induced kernel	11
Transfer and share: semi-supervised learning from long-tailed data	11
Large-scale pinball twin support vector machines	11
$${{\mathrm {Latent}}Out}$$: an unsupervised deep anomaly detection approach exploiting latent space distribution	11
Quantitative Gaussian approximation of randomly initialized deep neural networks	11
NaCL: noise-robust cross-domain contrastive learning for unsupervised domain adaptation	11
On the robustness of randomized classifiers to adversarial examples	11
Fraud detection with natural language processing	11
Robust matrix estimations meet Frank–Wolfe algorithm	11
Gradient boosted trees for evolving data streams	11
Testing conditional independence in supervised learning algorithms	11
Scale-preserving automatic concept extraction (SPACE)	11
Online binary classification from similar and dissimilar data	11
Improving interpretability via regularization of neural activation sensitivity	11
Byzantine-robust distributed sparse learning for M-estimation	10
Troubleshooting image segmentation models with human-in-the-loop	10
How to be fair? A study of label and selection bias	10
Efficient fair principal component analysis	10
Pruning during training by network efficacy modeling	10
A survey on learning from imbalanced data streams: taxonomy, challenges, empirical study, and reproducible experimental framework	10
Hitting the target: stopping active learning at the cost-based optimum	10
Permutation-invariant linear classifiers	10
Traditional and context-specific spam detection in low resource settings	10
Empirical analysis of performance assessment for imbalanced classification	10
Lifted model checking for relational MDPs	10
Calibrated explanations for regression	10
Jaccard-constrained dense subgraph discovery	10
Fast linear model trees by PILOT	10
Achieving adversarial robustness via sparsity	9
Nrat: towards adversarial training with inherent label noise	9
Hierarchically structured task-agnostic continual learning	9
Online learning of network bottlenecks via minimax paths	9
Detect, Understand, Act: A Neuro-symbolic Hierarchical Reinforcement Learning Framework	9
On the benefits of representation regularization in invariance based domain generalization	9
Correction to: Extracting automata from recurrent neural networks using queries and counterexamples (extended version)	9
Distilling ensemble of explanations for weakly-supervised pre-training of image segmentation models	9
InfoGram and admissible machine learning	9
Learning answer set programs with aggregates via sampling and genetic programming	9
A deep learning approach using natural language processing and time-series forecasting towards enhanced food safety	9
Correction to: A neural meta-model for predicting winter wheat crop yield	9
Semi-supervised Latent Block Model with pairwise constraints	9
iSOUP-SymRF: Symbolic feature ranking with random forests in online multi-target regression and multi-label classification	8
Federated learning with superquantile aggregation for heterogeneous data	8
Wasserstein dropout	8
DPQ: dynamic pseudo-mean mixed-precision quantization for pruned neural network	8
Generalized vec trick for fast learning of pairwise kernel models	8
A deep reinforcement learning framework for continuous intraday market bidding	8
Bayesian optimization with safety constraints: safe and automatic parameter tuning in robotics	8
DEFT: distilling entangled factors by preventing information diffusion	8
Explaining short text classification with diverse synthetic exemplars and counter-exemplars	8
Cost-sensitive classification with cost uncertainty: do we need surrogate losses?	8
Understanding transfer learning and gradient-based meta-learning techniques	8
Time-aware tensor decomposition for sparse tensors	8
Graph spring neural ODEs for link sign prediction	8
On metafeatures’ ability of implicit concept identification	8
Distribution-free conformal joint prediction regions for neural marked temporal point processes	8

Information bottleneck and selective noise supervision for zero-shot learning	8
Diverse and consistent multi-view networks for semi-supervised regression	8
CoMadOut—a robust outlier detection algorithm based on CoMAD	8
Polynomial-based graph convolutional neural networks for graph classification	8
Explaining recommendation system using counterfactual textual explanations	8
Relational data embeddings for feature enrichment with background information	8
A unified framework for online trip destination prediction	8
Hellinger distance decision trees for PU learning in imbalanced data sets	7
A theoretical distribution analysis of synthetic minority oversampling technique (SMOTE) for imbalanced learning	7
Addressing data dependency in neural networks: introducing the Knowledge Enhanced Neural Network (KENN) for time series forecasting +	7
Learning to rank anomalies: scalar performance criteria and maximization of rank statistics	7
Generalizing universal adversarial perturbations for deep neural networks	7
Adaptive adapter routing for long-tailed class-incremental learning	7
In-game soccer outcome prediction with offline reinforcement learning	7
Stress detection with encoding physiological signals and convolutional neural network	7
Quick and robust feature selection: the strength of energy-efficient sparse training for autoencoders	7
The class imbalance problem in deep learning	7
Black-box Bayesian adversarial attack with transferable priors	7
A parameter-less algorithm for tensor co-clustering	7
Unified convergence analysis for adaptive optimization with moving average estimator	7
ShuttleFlow: learning the distribution of subsequent badminton shots using normalizing flows	7
Temporal ensemble of multiple patterns’ instances for continuous prediction of events	7
Gradient descent fails to learn high-frequency functions and modular arithmetic	7
ROSE: robust online self-adjusting ensemble for continual learning on imbalanced drifting data streams	7
Dense subgraphs induced by edge labels	7
A framework for training larger networks for deep Reinforcement learning	7
Spatiotemporal-view member preference contrastive representation learning for group recommendation	7
Estimation of multidimensional item response theory models with correlated latent variables using variational autoencoders	7
Sanitized clustering against confounding bias	7
Meta-interpretive learning as metarule specialisation	6
Sandbox: safeguarded multi-label learning through safe optimal transport	6
Automotive fault nowcasting with machine learning and natural language processing	6
A systematic approach for learning imbalanced data: enhancing zero-inflated models through boosting	6
Multi-target prediction for dummies using two-branch neural networks	6
MLife: a lite framework for machine learning lifecycle initialization	6
Pairwise learning to rank by neural networks revisited: reconstruction, theoretical analysis and practical performance	6
Towards efficient pareto-optimal utility-fairness between groups in repeated rankings	6
Dynamic weighted ensemble for diarrhoea incidence predictions	6
A stochastic approach to handle resource constraints as knapsack problems in ensemble pruning	6
A new adaptive gradient method with gradient decomposition	6
A generalized Weisfeiler-Lehman graph kernel	6
Variable selection for both outcomes and predictors: sparse multivariate principal covariates regression	6
When are they coming? Understanding and forecasting the timeline of arrivals at the FC Barcelona stadium on match days	6
State-novelty guided action persistence in deep reinforcement learning	6
Recurrent segmentation meets block models in temporal networks	6
Bayesian mixture variational autoencoders for multi-modal learning	6
Towards enabling learnware to handle heterogeneous feature spaces	6
Learning with risks based on M-location	6
Tight mixed-integer optimization formulations for prescriptive trees	6
Ranking-preserved generative label enhancement	6
Improve generated adversarial imitation learning with reward variance regularization	6
Tree-based dynamic classifier chains	6
Learning an adaptive forwarding strategy for mobile wireless networks: resource usage vs. latency	6
Gradient-based causal discovery with latent variables	6
A comparison of latent space modeling techniques in a plain-vanilla autoencoder setting	6