Explainable Artificial Intelligence

Second World Conference, xAI 2024, Valletta, Malta, July 17–19, 2024, Proceedings, Part IV

AvLuca Longo,Sebastian Lapuschkin

Häftad, Engelska, 2024

Del 2156 i serien Communications in Computer and Information Science

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2024-07-10
Mått:155 x 235 x 27 mm
Vikt:727 g
Format:Häftad
Språk:Engelska
Serie:Communications in Computer and Information Science
Antal sidor:466
Förlag:Springer International Publishing AG
ISBN:9783031638022

Utforska kategorier

Hårdvara inom Data och IT
Tillämpad datateknik inom Data och IT
Artificiell intelligens inom Data och IT

Innehållsförteckning

.- 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.