Foundations of Intelligent Systems (Record no. 173724)
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fixed length control field | 06988nam a22006495i 4500 |
001 - CONTROL NUMBER | |
control field | 978-3-031-16564-1 |
003 - CONTROL NUMBER IDENTIFIER | |
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 |
072 #7 - SUBJECT CATEGORY CODE | |
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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-- | computer |
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-- | online resource |
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-- | text file |
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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 |
-- | http://id.loc.gov/vocabulary/relators/edt |
700 1# - ADDED ENTRY--PERSONAL NAME | |
Personal name | Flesca, Sergio. |
Relator term | editor. |
Relator code | edt |
-- | http://id.loc.gov/vocabulary/relators/edt |
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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942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | eBooks-CSE-Springer |
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