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Advances in intelligent data analysi...
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International Symposium on Intelligent Data Analysis (2022 :)
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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 /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Advances in intelligent data analysis XX/ edited by Tassadit Bouadi, Elisa Fromont, Eyke Hullermeier.
其他題名:
20th International Symposium on Intelligent Data Analysis, IDA 2022, Rennes, France, April 20-22, 2022 : proceedings /
其他題名:
IDA 2022
其他作者:
Bouadi, Tassadit.
團體作者:
International Symposium on Intelligent Data Analysis
出版者:
Cham :Springer International Publishing : : 2022.,
面頁冊數:
xiii, 406 p. :ill. (chiefly col.), digital ;24 cm.
內容註:
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
標題:
Pattern recognition systems - Congresses. -
電子資源:
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 XX
20th 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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