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Advances in intelligent data analysis XX = 20th International Symposium on Intelligent Data Analysis, IDA 2022, Rennes, France, April 20-22, 2022 : proceedings /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Advances in intelligent data analysis XX/ edited by Tassadit Bouadi, Elisa Fromont, Eyke Hullermeier.
Reminder of title:	20th International Symposium on Intelligent Data Analysis, IDA 2022, Rennes, France, April 20-22, 2022 : proceedings /
remainder title:	IDA 2022
other author:	Bouadi, Tassadit.
corporate name:	International Symposium on Intelligent Data Analysis
Published:	Cham :Springer International Publishing : : 2022.,
Description:	xiii, 406 p. :ill. (chiefly col.), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Pattern recognition systems - Congresses. -
Online resource:	https://doi.org/10.1007/978-3-031-01333-1
ISBN:	9783031013331

Advances in intelligent data analysis XX = 20th International Symposium on Intelligent Data Analysis, IDA 2022, Rennes, France, April 20-22, 2022 : proceedings /
Advances in intelligent data analysis XX20th International Symposium on Intelligent Data Analysis, IDA 2022, Rennes, France, April 20-22, 2022 : proceedings /[electronic resource] :IDA 2022edited by Tassadit Bouadi, Elisa Fromont, Eyke Hullermeier. - Cham :Springer International Publishing :2022. - xiii, 406 p. :ill. (chiefly col.), digital ;24 cm. - Lecture notes in computer science,132050302-9743 ;. - 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.

ISBN: 9783031013331

Standard No.: 10.1007/978-3-031-01333-1doiSubjects--Topical Terms:

563039
Pattern recognition systems
--Congresses.

LC Class. No.: Q337.5 / .I58 2022

Dewey Class. No.: 006.4

Advances in intelligent data analysis XX = 20th International Symposium on Intelligent Data Analysis, IDA 2022, Rennes, France, April 20-22, 2022 : proceedings /
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