Central Library

Explainable Artificial Intelligence (Record no. 88540)

000 -LEADER
fixed length control field 06169nam a22005895i 4500
001 - CONTROL NUMBER
control field 978-3-031-63803-9
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240730172749.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 240710s2024 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783031638039
-- 978-3-031-63803-9
082 04 - CLASSIFICATION NUMBER
Call Number 006.3
245 10 - TITLE STATEMENT
Title Explainable Artificial Intelligence
Sub Title Second World Conference, xAI 2024, Valletta, Malta, July 17-19, 2024, Proceedings, Part IV /
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2024.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XVII, 466 p. 149 illus., 136 illus. in color.
490 1# - SERIES STATEMENT
Series statement Communications in Computer and Information Science,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 -- 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.
700 1# - AUTHOR 2
Author 2 Longo, Luca.
700 1# - AUTHOR 2
Author 2 Lapuschkin, Sebastian.
700 1# - AUTHOR 2
Author 2 Seifert, Christin.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-3-031-63803-9
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cham :
-- Springer Nature Switzerland :
-- Imprint: Springer,
-- 2024.
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-- text
-- txt
-- rdacontent
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-- computer
-- c
-- rdamedia
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-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial intelligence.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Natural language processing (Computer science).
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Application software.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer networks .
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial Intelligence.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Natural Language Processing (NLP).
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer and Information Systems Applications.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer Communication Networks.
700 1# - AUTHOR 2
-- (orcid)
-- 0000-0002-2718-5426
700 1# - AUTHOR 2
-- (orcid)
-- 0000-0002-0762-7258
700 1# - AUTHOR 2
-- (orcid)
-- 0000-0002-6776-3868
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 1865-0937 ;
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-- ZDB-2-SCS
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