Foundations of Intelligent Systems (Record no. 173724)

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001 - CONTROL NUMBER
control field 978-3-031-16564-1
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control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240423125044.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783031165641
-- 978-3-031-16564-1
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-031-16564-1
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number Q334-342
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TA347.A78
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQ
Source bicssc
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Subject category code COM004000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQ
Source thema
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3
Edition number 23
245 10 - TITLE STATEMENT
Title Foundations of Intelligent Systems
Medium [electronic resource] :
Remainder of title 26th International Symposium, ISMIS 2022, Cosenza, Italy, October 3–5, 2022, Proceedings /
Statement of responsibility, etc edited by Michelangelo Ceci, Sergio Flesca, Elio Masciari, Giuseppe Manco, Zbigniew W. Raś.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2022.
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2022.
300 ## - PHYSICAL DESCRIPTION
Extent XVIII, 488 p. 152 illus., 112 illus. in color.
Other physical details online resource.
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490 1# - SERIES STATEMENT
Series statement Lecture Notes in Artificial Intelligence,
International Standard Serial Number 2945-9141 ;
Volume number/sequential designation 13515
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Social Media and Recommendation -- Granular Emotion Detection in Social Media Using Multi-Discipline Ensembles -- Sentiment Polarity and Emotion Detection from Tweets Using Distant Supervision and Deep Learning Models -- Disruptive Event Identification in Online Social Network -- Modeling Polarization on Social Media Posts: A Heuristic Approach Using Media Bias -- Sarcasm detection in Tunisian social media comments: Case of COVID-19 -- Multimodal Deep Learning and Fast Retrieval for Recommendation -- Natural Language Processing -- Mining news articles dealing with Food Security -- Identification of Paragraph Regularities in Legal Judgements through Clustering and Textual Embedding -- Aspect term extraction improvement based on a hybrid method -- Exploring the Impact of Gender Bias Mitigation Approaches on a Downstream Classification Task -- A semi-automatic data generator for Query Answering -- Explainability, -- XAI to explore robustness of features in adversarial training for cybersecurity -- Impact of Feedback Type on Explanatory Interactive Learning -- Learning and Explanation of Extreme Multi-Label Deep Classification Models for Media Content -- An Interpretable Machine Learning Approach to Prioritizing Factors Contributing to Clinician Burnout -- A general-purpose method for applying Explainable AI for Anomaly Detection -- More Sanity Checks for Saliency Maps -- Intelligent Systems -- Deep Reinforcement Learning for Automated Stock Trading: Inclusion of Short Selling -- Scaling Posterior Distributions over Differently-Curated Datasets: A Bayesian-Neural-Networks Methodology -- Ensembling Sparse Autoencoders for Network Covert Channel Detection in IoT Ecosystems -- Towards Automation of Pollen Monitoring: Image-Based Tree Pollen Recognition -- Rough Sets for Intelligence on Embedded Systems -- Context as a Distance Function in ConSQL -- Classification and Clustering -- Detecting Anomalies with LatentOut: Novel Scores, Architectures, and Settings -- Richness Fallacy -- Adapting loss functions to learning progress improves accuracy of classification in neural networks -- Multiscale and multivariate time series clustering: A new approach -- Improve Calibration Robustness of Temperature Scaling by Penalizing Output Entropy -- Understanding Negative Calibration from Entropy Perspective -- A New Clustering Preserving Transformation for $k$-Means Algorithm Output -- Complex Data -- A Transformer-Based Framework for Geomagnetic Activity Prediction -- AS-SIM: an approach to Action-State Process Model Discovery -- Combining Active Learning and Fast DNN Ensembles for Process Deviance Discovery -- Temporal Graph-based CNNs (TG-CNNs) for Online Course Dropout Prediction -- Graph Convolutional Networks Using Node Addition and Edge Reweighting -- Audio Super-Resolution via Vision Transformer -- Similarity embedded temporal Transformers: Enhancing stock predictions with historically similar trends -- Investigating noise interference on speech towards applying the Lombard effect automatically -- Medical Applications -- Towards Polynomial Adaptive Local Explanations for Healthcare Classifiers -- Towards Tailored Intervention in Medicine Using Patients’ Segmentation -- Application of association rules to classify IBD patients -- Unsupervised Learning Based Rule Generating System with Temporal Features Extractions Tuned for Tinnitus Retraining Therapy -- Industrial Applications -- TrueDetective 4.0: a Big data architetture for real time anomaly detection -- Optimising the Machine Translation Workflow: Analysis, Development, Benchmarking, Testing and Maintenance -- Classification vs Recommendation methods for Therapeutics Recommendation -- Document LayoutAnalysis with Variational Autoencoders : an Industrial Application.
520 ## - SUMMARY, ETC.
Summary, etc This book constitutes the proceedings of the 26th International Symposium on Foundations of Intelligent Systems, ISMIS 2022, held in Cosenza, Italy, in October 2022. The 31 regular papers, 11 short papers and 4 industrial papers presented in this volume were carefully reviewed and selected from 71 submissions. They were organized in topical sections as follows: Social Media and Recommendation; Natural Language Processing; Explainability; Intelligent Systems; Classification and Clustering; Complex Data; Medical Applications; Industrial Applications. .
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial intelligence.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Application software.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data mining.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Social sciences
General subdivision Data processing.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer vision.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial Intelligence.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer and Information Systems Applications.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data Mining and Knowledge Discovery.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer Application in Social and Behavioral Sciences.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer Vision.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Ceci, Michelangelo.
Relator term editor.
Relator code edt
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700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Flesca, Sergio.
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700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Masciari, Elio.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Manco, Giuseppe.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Raś, Zbigniew W.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer Nature eBook
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783031165634
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783031165658
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Lecture Notes in Artificial Intelligence,
-- 2945-9141 ;
Volume number/sequential designation 13515
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-3-031-16564-1">https://doi.org/10.1007/978-3-031-16564-1</a>
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Koha item type eBooks-CSE-Springer

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