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Vision Transformers for Small Histological Datasets Learned Through Knowledge Distillation

Advances in Knowledge Discovery and Data Mining, p.167-179

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Cascaded Latent Diffusion Models for High-Resolution Chest X-ray Synthesis

Advances in Knowledge Discovery and Data Mining, p.180-191

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Achieving Counterfactual Fairness for Anomaly Detection

Advances in Knowledge Discovery and Data Mining, p.55-66

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Weight Prediction Boosts the Convergence of AdamW

Advances in Knowledge Discovery and Data Mining, p.329-340

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Quantifying the Bias of Transformer-Based Language Models for African American English in Masked Language Modeling

Advances in Knowledge Discovery and Data Mining, p.532-543

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Document-Level Relation Extraction with Cross-sentence Reasoning Graph

Advances in Knowledge Discovery and Data Mining, p.316-328

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Selecting the Number of Clusters K with a Stability Trade-off: An Internal Validation Criterion

Advances in Knowledge Discovery and Data Mining, p.210-222

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Transfer Reinforcement Learning Based Negotiating Agent Framework

Advances in Knowledge Discovery and Data Mining, p.386-397

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Defending Against Backdoor Attacks by Layer-wise Feature Analysis

Advances in Knowledge Discovery and Data Mining, p.428-440

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Model-Agnostic Reachability Analysis on Deep Neural Networks

Advances in Knowledge Discovery and Data Mining, p.341-354

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Small Temperature is All You Need for Differentiable Architecture Search

Advances in Knowledge Discovery and Data Mining, p.303-315

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Disentangled Representation with Causal Constraints for Counterfactual Fairness

Advances in Knowledge Discovery and Data Mining, p.471-482

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CondTraj-GAN: Conditional Sequential GAN for Generating Synthetic Vehicle Trajectories

Advances in Knowledge Discovery and Data Mining, p.79-91

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CeFlow: A Robust and Efficient Counterfactual Explanation Framework for Tabular Data Using Normalizing Flows

Advances in Knowledge Discovery and Data Mining, p.133-144

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Fake News Detection Through Temporally Evolving User Interactions

Advances in Knowledge Discovery and Data Mining, p.137-148

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What Boosts Fake News Dissemination on Social Media? A Causal Inference View

Advances in Knowledge Discovery and Data Mining, p.234-246

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BeamAttack: Generating High-quality Textual Adversarial Examples Through Beam Search and Mixed Semantic Spaces

Advances in Knowledge Discovery and Data Mining, p.454-465

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Multi-fair Capacitated Students-Topics Grouping Problem

Advances in Knowledge Discovery and Data Mining, p.507-519

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Road Network Representation Learning with Vehicle Trajectories

Advances in Knowledge Discovery and Data Mining, p.57-69

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MPool: Motif-Based Graph Pooling

Advances in Knowledge Discovery and Data Mining, p.105-117

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Topic-Selective Graph Network for Topic-Focused Summarization

Advances in Knowledge Discovery and Data Mining, p.247-259

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Stochastic Submodular Maximization via Polynomial Estimators

Advances in Knowledge Discovery and Data Mining, p.535-548

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BioSequence2Vec: Efficient Embedding Generation for Biological Sequences

Advances in Knowledge Discovery and Data Mining, p.173-185

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Maverick Matters: Client Contribution and Selection in Federated Learning

Advances in Knowledge Discovery and Data Mining, p.269-282

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Leveraging Generative Models for Combating Adversarial Attacks on Tabular Datasets

Advances in Knowledge Discovery and Data Mining, p.147-158

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Vision Transformers for Small Histological Datasets Learned Through Knowledge Distillation

Cascaded Latent Diffusion Models for High-Resolution Chest X-ray Synthesis

Achieving Counterfactual Fairness for Anomaly Detection

Weight Prediction Boosts the Convergence of AdamW

Quantifying the Bias of Transformer-Based Language Models for African American English in Masked Language Modeling

Document-Level Relation Extraction with Cross-sentence Reasoning Graph

Selecting the Number of Clusters K with a Stability Trade-off: An Internal Validation Criterion

Transfer Reinforcement Learning Based Negotiating Agent Framework

Defending Against Backdoor Attacks by Layer-wise Feature Analysis

Model-Agnostic Reachability Analysis on Deep Neural Networks

Small Temperature is All You Need for Differentiable Architecture Search

Disentangled Representation with Causal Constraints for Counterfactual Fairness

CondTraj-GAN: Conditional Sequential GAN for Generating Synthetic Vehicle Trajectories

CeFlow: A Robust and Efficient Counterfactual Explanation Framework for Tabular Data Using Normalizing Flows

Fake News Detection Through Temporally Evolving User Interactions

What Boosts Fake News Dissemination on Social Media? A Causal Inference View

BeamAttack: Generating High-quality Textual Adversarial Examples Through Beam Search and Mixed Semantic Spaces

Multi-fair Capacitated Students-Topics Grouping Problem

Road Network Representation Learning with Vehicle Trajectories

MPool: Motif-Based Graph Pooling

Topic-Selective Graph Network for Topic-Focused Summarization

Stochastic Submodular Maximization via Polynomial Estimators

BioSequence2Vec: Efficient Embedding Generation for Biological Sequences

Maverick Matters: Client Contribution and Selection in Federated Learning

Leveraging Generative Models for Combating Adversarial Attacks on Tabular Datasets

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