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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 / edited by Tassadit Bouadi, Elisa Fromont, Eyke Hüllermeier.

SpringerLink Books Computer Science (2011-2024) Available online

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Format:
Book
Contributor:
Bouadi, Tassadit, Editor.
Fromont, Elisa, Editor.
Hüllermeier, Eyke, Editor.
SpringerLink (Online service)
Series:
Computer Science (SpringerNature-11645)
Lecture notes in computer science 1611-3349 ; 13205
Lecture Notes in Computer Science, 1611-3349 ; 13205
Language:
English
Subjects (All):
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.
Local Subjects:
Database Management.
Data Structures and Information Theory.
Computers and Education.
Computer Engineering and Networks.
Computer Application in Social and Behavioral Sciences.
Computer Vision.
Physical Description:
1 online resource (XIII, 406 pages) : 126 illustrations, 101 illustrations in color.
Edition:
1st ed. 2022.
Contained In:
Springer Nature eBook
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2022.
System Details:
text file PDF
Summary:
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. .
Contents:
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.
Other Format:
Printed edition:
ISBN:
978-3-031-01333-1
9783031013331
Access Restriction:
Restricted for use by site license.

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