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Multi-Modal Ensembles of Regressor Chains for Multi-Output Prediction
A Two-Step Approach for Explainable Relation Extraction
Towards Automation of Topic Taxonomy Construction
A fault detection framework based on LSTM autoencoder: a case study for Volvo bus data
Detection and Multi-Label Classification of Bats
End-to-End Mobile System for Diabetic Retinopathy Screening Based on Lightweight Deep Neural Network
Effcient Bayesian learning of sparse deep artificial neural networks
Tensor Completion Post-Correction
Hadi Fanaee-T S-LIME: Reconciling Locality and Fidelity in Linear Explanations
Changes in Predictions of Classification Models for Data Streams
Impact of dimensionality on nowcasting seasonal influenza with environmental factors
On Usefulness of Outlier Elimination in Classification Tasks
Suitability of Different Metric Choices for Concept Drift Detection
Exploring the Geometry and Topology of Neural Network Loss Landscapes
Selecting Outstanding Patterns Based on their Neighbourhood
Using Explainable Boosting Machine to Compare Idiographic and Nomothetic Approaches for Ecological Momentary Assessment Data
dunXai: DO-U-Net for Explainable (Multi-Label) Image Classification
AGS: Attribution Guided Sharpening as a Defense Against Adversarial Attacks
VAE-CE: Visual Contrastive Explanation using Disentangled VAEs
Evaluation of Uplift Models with Non-Random Assignment Bias
A Generic Trace Ordering Framework for Incremental Process Discovery
Bank statements to network features: Extracting features out of time series using visibility graph
Modular-Relatedness for Continual Learning
Combining Multiple Data Sources to Predict IUCN Conservation Status of Reptiles
LG4AV: Combining Language Models and Graph Neural Networks for Author Verification.-Effcient Subgroup Discovery Through Auto-Encoding
Simulation of scientific experiments with generative models
A Learning Vector Quantization Architecture for Transfer Learning Based Classification in Case of Multiple Sources by Means of Nullspace Evaluation
MuseBar: Alleviating Posterior Collapse in Recurrent VAEs toward Music Generation
Parameter Learning in ProbLog With Annotated Disjunctions
Semantic-Based Few-Shot Classification by Psychometric Learning.
A Two-Step Approach for Explainable Relation Extraction
Towards Automation of Topic Taxonomy Construction
A fault detection framework based on LSTM autoencoder: a case study for Volvo bus data
Detection and Multi-Label Classification of Bats
End-to-End Mobile System for Diabetic Retinopathy Screening Based on Lightweight Deep Neural Network
Effcient Bayesian learning of sparse deep artificial neural networks
Tensor Completion Post-Correction
Hadi Fanaee-T S-LIME: Reconciling Locality and Fidelity in Linear Explanations
Changes in Predictions of Classification Models for Data Streams
Impact of dimensionality on nowcasting seasonal influenza with environmental factors
On Usefulness of Outlier Elimination in Classification Tasks
Suitability of Different Metric Choices for Concept Drift Detection
Exploring the Geometry and Topology of Neural Network Loss Landscapes
Selecting Outstanding Patterns Based on their Neighbourhood
Using Explainable Boosting Machine to Compare Idiographic and Nomothetic Approaches for Ecological Momentary Assessment Data
dunXai: DO-U-Net for Explainable (Multi-Label) Image Classification
AGS: Attribution Guided Sharpening as a Defense Against Adversarial Attacks
VAE-CE: Visual Contrastive Explanation using Disentangled VAEs
Evaluation of Uplift Models with Non-Random Assignment Bias
A Generic Trace Ordering Framework for Incremental Process Discovery
Bank statements to network features: Extracting features out of time series using visibility graph
Modular-Relatedness for Continual Learning
Combining Multiple Data Sources to Predict IUCN Conservation Status of Reptiles
LG4AV: Combining Language Models and Graph Neural Networks for Author Verification.-Effcient Subgroup Discovery Through Auto-Encoding
Simulation of scientific experiments with generative models
A Learning Vector Quantization Architecture for Transfer Learning Based Classification in Case of Multiple Sources by Means of Nullspace Evaluation
MuseBar: Alleviating Posterior Collapse in Recurrent VAEs toward Music Generation
Parameter Learning in ProbLog With Annotated Disjunctions
Semantic-Based Few-Shot Classification by Psychometric Learning.