Advances in Intelligent Data Analysis XX 20th International Symposium on Intelligent Data Analysis, IDA 2022, Rennes, France, April 20-22, 2022, Proceedings / [electronic resource] :
edited by Tassadit Bouadi, Elisa Fromont, Eyke Hüllermeier.
- 1st ed. 2022.
- XIII, 406 p. 126 illus., 101 illus. in color. online resource.
- Lecture Notes in Computer Science, 13205 1611-3349 ; .
- Lecture Notes in Computer Science, 13205 .
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.
This book constitutes the proceedings of the 20th International Symposium on Intelligent Data Analysis, IDA 2022, which was held in Rennes, France, during April 20-22, 2022. The 31 papers included in this book were carefully reviewed and selected from 73 submissions. They deal with high quality, novel research in intelligent data analysis. .
9783031013331
10.1007/978-3-031-01333-1 doi
Database management.
Data structures (Computer science).
Information theory.
Education--Data processing.
Computer engineering.
Computer networks .
Social sciences--Data processing.
Computer vision.
Database Management.
Data Structures and Information Theory.
Computers and Education.
Computer Engineering and Networks.
Computer Application in Social and Behavioral Sciences.
Computer Vision.
QA76.9.D3
005.74
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.
This book constitutes the proceedings of the 20th International Symposium on Intelligent Data Analysis, IDA 2022, which was held in Rennes, France, during April 20-22, 2022. The 31 papers included in this book were carefully reviewed and selected from 73 submissions. They deal with high quality, novel research in intelligent data analysis. .
9783031013331
10.1007/978-3-031-01333-1 doi
Database management.
Data structures (Computer science).
Information theory.
Education--Data processing.
Computer engineering.
Computer networks .
Social sciences--Data processing.
Computer vision.
Database Management.
Data Structures and Information Theory.
Computers and Education.
Computer Engineering and Networks.
Computer Application in Social and Behavioral Sciences.
Computer Vision.
QA76.9.D3
005.74