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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.
- Format:
- Book
- 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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