Artificial Intelligence XXXVIII (Record no. 90605)

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001 - CONTROL NUMBER
control field 978-3-030-91100-3
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240730180942.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783030911003
-- 978-3-030-91100-3
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-030-91100-3
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 Artificial Intelligence XXXVIII
Medium [electronic resource] :
Remainder of title 41st SGAI International Conference on Artificial Intelligence, AI 2021, Cambridge, UK, December 14-16, 2021, Proceedings /
Statement of responsibility, etc. edited by Max Bramer, Richard Ellis.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2021.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Cham :
Name of producer, publisher, distributor, manufacturer Springer International Publishing :
-- Imprint: Springer,
Date of production, publication, distribution, manufacture, or copyright notice 2021.
300 ## - PHYSICAL DESCRIPTION
Extent XIV, 384 p. 99 illus., 37 illus. in color.
Other physical details online resource.
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier
347 ## - DIGITAL FILE CHARACTERISTICS
File type text file
Encoding format PDF
Source rda
490 1# - SERIES STATEMENT
Series statement Lecture Notes in Artificial Intelligence,
International Standard Serial Number 2945-9141 ;
Volume/sequential designation 13101
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Technical Papers -- On the Generalization Abilities of Fine-Tuned Commonsense Language Representation Models (Best Technical Paper) -- Machine Learning -- Generation of Human-aware Navigation Maps using Graph Neural Networks -- Extended Category Learning with Spiking Nets and Spike Timing Dependent Plasticity -- ORACLE: End-to-end Model Based Reinforcement Learning -- Towards Explaining Metaheuristic Solution Quality by Data Mining Surrogate Fitness Models for Importance of Variables -- AI Techniques -- Assessing the Impact of Agents in Weighted Bipolar Argumentation Frameworks -- Towards Explainable Metaheuristics: PCA for Trajectory Mining in Evolutionary Algorithms -- AI Methods of Autonomous Geological Target Selection in the Hunt for Signs of Extraterrestrial Life -- Probabilistic Rule Induction for Transparent CBR under Uncertainty -- Short Technical Stream Papers -- Detection of Brain Tumour using Deep Learning -- GaussianProductAttributes: Density-based Distributed Representations for Products -- Modelling Emotion Dynamics in Chatbots with Neural Hawkes Processes -- Knowledge-Based Composable Inductive Programming -- Named Entity Recognition and Relation Extraction for COVID-19: Explainable Active Learning with word2vec Embeddings and Transformer-based BERT Models -- Application Papers -- Patients Forecasting in Emergency Services by using Machine Learning and Exogenous variables (Best Application Paper) -- Applications of Machine Learning -- Automatic Information Extraction from Electronic Documents using Machine Learning -- Modelling Satellite Data for Automobile Insurance Risk -- Ranking Pathology Data in the Absence of a Ground Truth -- Evolving Large Scale Prediction Models for Vehicle Volume Forecasting in Service Stations -- AI for Medicine -- Sequential Association Rule Mining Revisited: A Study Directed at Relational Pattern Mining for Multi-morbidity -- Addressing the Challenge of Data Heterogeneity using a Homogeneous Feature Vector Representation -- Context-aware Supportfor Cardiac Health Monitoring using Federated Machine Learning -- Using Automated Feature Selection for Building Case-Based Reasoning Systems: An Example from Patient-Reported Outcome Measurements -- Advances in Applied AI -- A Live-User Evaluation of a Visual Module Recommender & Advisory System for Undergraduate Students -- AdverseGen: A Practical Tool for Generating Adversarial Examples to Deep Neural Networks Using Black-box Approaches -- Adaptive Maneuver Planning for Autonomous Vehicles using Behavior Tree on Apollo Platform -- Behavioural User Identification from Clickstream Data for Business Improvement -- Short Application Stream Papers -- AI enabled Bio Waste Contamination-Scanner -- Parkinson's Disease Tremor Severity Classification - A Comparison Between ON and OFF Medication State -- Towards Publishing Ontology-based Data Quality Metadata of Open Data -- Towards a Brain Controller Interface for Generating Simple Berlin School Style Music with Interactive Genetic Algorithms.
520 ## - SUMMARY, ETC.
Summary, etc. This book constitutes the proceedings of the 41st SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, AI 2021, which was supposed to be held in Cambridge, UK, in December 2021. The conference was held virtually due to the COVID-19 pandemic. The 22 full papers and 10 short papers presented in this volume were carefully reviewed and selected from 37 submissions. The volume includes technical papers presenting new and innovative developments in the field as well as application papers presenting innovative applications of AI techniques in a number of subject domains. The papers are organized in the following topical sections: technical paper; machine learning; AI techniques; short technical stream papers; application papers; applications of machine learning; AI for medicine; advances in applied AI; and short application stream papers.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Artificial intelligence.
9 (RLIN) 3407
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer engineering.
9 (RLIN) 10164
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer networks .
9 (RLIN) 31572
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Algorithms.
9 (RLIN) 3390
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Information technology
General subdivision Management.
9 (RLIN) 5368
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Education
General subdivision Data processing.
9 (RLIN) 82607
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Artificial Intelligence.
9 (RLIN) 3407
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer Engineering and Networks.
9 (RLIN) 122674
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Design and Analysis of Algorithms.
9 (RLIN) 31835
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer Application in Administrative Data Processing.
9 (RLIN) 31588
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computers and Education.
9 (RLIN) 41129
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Bramer, Max.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 122675
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Ellis, Richard.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 122676
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
9 (RLIN) 122677
773 0# - HOST ITEM ENTRY
Title Springer Nature eBook
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9783030910990
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9783030911010
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Lecture Notes in Artificial Intelligence,
International Standard Serial Number 2945-9141 ;
Volume/sequential designation 13101
9 (RLIN) 122678
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-3-030-91100-3">https://doi.org/10.1007/978-3-030-91100-3</a>
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942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks-Lecture Notes in CS

No items available.