Explainable Artificial Intelligence (Record no. 61483)
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| fixed length control field | 06221nam a22005895i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-3-031-63803-9 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | DE-He213 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20251030112621.0 |
| 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 | 240710s2024 sz | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9783031638039 |
| -- | 978-3-031-63803-9 |
| 024 7# - OTHER STANDARD IDENTIFIER | |
| Standard number or code | 10.1007/978-3-031-63803-9 |
| 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 |
| 245 10 - TITLE STATEMENT | |
| Title | Explainable Artificial Intelligence |
| Medium | [electronic resource] : |
| Remainder of title | Second World Conference, xAI 2024, Valletta, Malta, July 17–19, 2024, Proceedings, Part IV / |
| Statement of responsibility, etc. | edited by Luca Longo, Sebastian Lapuschkin, Christin Seifert. |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st ed. 2024. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | Cham : |
| Name of producer, publisher, distributor, manufacturer | Springer Nature Switzerland : |
| -- | Imprint: Springer, |
| Date of production, publication, distribution, manufacture, or copyright notice | 2024. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | XVII, 466 p. 149 illus., 136 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 | |
| Source | rda |
| 490 1# - SERIES STATEMENT | |
| Series statement | Communications in Computer and Information Science, |
| International Standard Serial Number | 1865-0937 ; |
| Volume/sequential designation | 2156 |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | -- Explainable AI in healthcare and computational neuroscience. -- SRFAMap: a method for mapping integrated gradients of a CNN trained with statistical radiomic features to medical image saliency maps. -- Transparently Predicting Therapy Compliance of Young Adults Following Ischemic Stroke. -- Precision medicine in student health: Insights from Tsetlin Machines into chronic pain and psychological distress. -- Evaluating Local Explainable AI Techniques for the Classification of Chest X-ray Images. -- Feature importance to explain multimodal prediction models. A clinical use case. -- Identifying EEG Biomarkers of Depression with Novel Explainable Deep Learning Architectures. -- Increasing Explainability in Time Series Classification by Functional Decomposition. -- Towards Evaluation of Explainable Artificial Intelligence in Streaming Data. -- Quantitative Evaluation of xAI Methods for Multivariate Time Series - A Case Study for a CNN-based MI Detection Model. -- Explainable AI for improved human-computer interaction and Software Engineering for explainability. -- Influenciae: A library for tracing the influence back to the data-points. -- Explainability Engineering Challenges: Connecting Explainability Levels to Run-time Explainability. -- On the Explainability of Financial Robo-advice Systems. -- Can I trust my anomaly detection system? A case study based on explainable AI.. -- Explanations considered harmful: The Impact of misleading Explanations on Accuracy in hybrid human-AI decision making. -- Human emotions in AI explanations. -- Study on the Helpfulness of Explainable Artificial Intelligence. -- Applications of explainable artificial intelligence. -- Pricing Risk: An XAI Analysis of Irish Car Insurance Premiums. -- Exploring the Role of Explainable AI in the Development and Qualification of Aircraft Quality Assurance Processes: A Case Study. -- Explainable Artificial Intelligence applied to Predictive Maintenance: Comparison of Post-hoc Explainability Techniques. -- A comparative analysis of SHAP, LIME, ANCHORS, and DICE for interpreting a dense neural network in Credit Card Fraud Detection. -- Application of the representative measure approach to assess the reliability of decision trees in dealing with unseen vehicle collision data. -- Ensuring Safe Social Navigation via Explainable Probabilistic and Conformal Safety Regions. -- Explaining AI Decisions: Towards Achieving Human-Centered Explainability in Smart Home Environments. -- AcME-AD: Accelerated Model Explanations for Anomaly Detection. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | This four-volume set constitutes the refereed proceedings of the Second World Conference on Explainable Artificial Intelligence, xAI 2024, held in Valletta, Malta, during July 17-19, 2024. The 95 full papers presented were carefully reviewed and selected from 204 submissions. The conference papers are organized in topical sections on: Part I - intrinsically interpretable XAI and concept-based global explainability; generative explainable AI and verifiability; notion, metrics, evaluation and benchmarking for XAI. Part II - XAI for graphs and computer vision; logic, reasoning, and rule-based explainable AI; model-agnostic and statistical methods for eXplainable AI. Part III - counterfactual explanations and causality for eXplainable AI; fairness, trust, privacy, security, accountability and actionability in eXplainable AI. Part IV - explainable AI in healthcare and computational neuroscience; explainable AI for improved human-computer interaction and software engineering for explainability; applications of explainable artificial intelligence. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | |
| 9 (RLIN) | 58441 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | |
| 9 (RLIN) | 65131 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | |
| 9 (RLIN) | 60157 |
| 650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | |
| 9 (RLIN) | 58441 |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | |
| 9 (RLIN) | 66164 |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | |
| 9 (RLIN) | 65689 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Longo, Luca. |
| Relator term | editor. |
| Relator code | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 9 (RLIN) | 80307 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Lapuschkin, Sebastian. |
| Relator term | editor. |
| Authority record control number | (orcid)0000-0002-0762-7258 |
| -- | https://orcid.org/0000-0002-0762-7258 |
| Relator code | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 9 (RLIN) | 80308 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Seifert, Christin. |
| Relator term | editor. |
| Authority record control number | (orcid)0000-0002-6776-3868 |
| -- | https://orcid.org/0000-0002-6776-3868 |
| Relator code | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 9 (RLIN) | 80309 |
| 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 | |
| Relationship information | Printed edition: |
| International Standard Book Number | 9783031638022 |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Printed edition: |
| International Standard Book Number | 9783031638046 |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| Uniform title | Communications in Computer and Information Science, |
| International Standard Serial Number | 1865-0937 ; |
| Volume number/sequential designation | 2156 |
| 9 (RLIN) | 66508 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://doi.org/10.1007/978-3-031-63803-9">https://doi.org/10.1007/978-3-031-63803-9</a> |
| 912 ## - | |
| -- | ZDB-2-SCS |
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| -- | ZDB-2-SXCS |
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