Artificial Intelligence XXXVIII (Record no. 178678)
[ view plain ]
| 000 -LEADER | |
|---|---|
| fixed length control field | 06307nam a22006255i 4500 |
| 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 | 20240423125515.0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cr nn 008mamaa |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 211111s2021 sz | s |||| 0|eng d |
| 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 |
| 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 | 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 - | |
| -- | Cham : |
| -- | Springer International Publishing : |
| -- | Imprint: Springer, |
| -- | 2021. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | XIV, 384 p. 99 illus., 37 illus. in color. |
| Other physical details | online resource. |
| 336 ## - | |
| -- | text |
| -- | txt |
| -- | rdacontent |
| 337 ## - | |
| -- | computer |
| -- | c |
| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
| -- | cr |
| -- | rdacarrier |
| 347 ## - | |
| -- | text file |
| -- | |
| -- | rda |
| 490 1# - SERIES STATEMENT | |
| Series statement | Lecture Notes in Artificial Intelligence, |
| International Standard Serial Number | 2945-9141 ; |
| Volume number/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 as entry element | Artificial intelligence. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Computer engineering. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Computer networks . |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Algorithms. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Information technology |
| General subdivision | Management. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Education |
| General subdivision | Data processing. |
| 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 Engineering and Networks. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Design and Analysis of Algorithms. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Computer Application in Administrative Data Processing. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Computers and Education. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Bramer, Max. |
| Relator term | editor. |
| Relator code | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Ellis, Richard. |
| 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 | 9783030910990 |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Display text | Printed edition: |
| International Standard Book Number | 9783030911010 |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| Uniform title | Lecture Notes in Artificial Intelligence, |
| -- | 2945-9141 ; |
| Volume number/sequential designation | 13101 |
| 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> |
| 912 ## - | |
| -- | ZDB-2-SCS |
| 912 ## - | |
| -- | ZDB-2-SXCS |
| 912 ## - | |
| -- | ZDB-2-LNC |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks-CSE-Springer |
No items available.