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Foundations of Intelligent Systems 27th International Symposium, ISMIS 2024, Poitiers, France, June 17–19, 2024, Proceedings /

This book constitutes the proceedings of the 27th International Symposium on Methodologies for Intelligent Systems, ISMIS 2024, held in Poitiers, France, in June 2024. The 18 full papers, 6 short papers and 5 industrial papers presented in this volume were carefully reviewed and selected from 46 sub...

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Bibliografiske detaljer
Institution som forfatter: SpringerLink (Online service)
Andre forfattere: Appice, Annalisa (Editor), Azzag, Hanane (Editor), Hacid, Mohand-Said (Editor), Hadjali, Allel (Editor), Ras, Zbigniew (Editor)
Format: Electronisk eBog
Sprog:engelsk
Udgivet: Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Udgivelse:1st ed. 2024.
Serier:Lecture Notes in Artificial Intelligence, 14670
Fag:
Artificial intelligence.
Application software.
Data mining.
Social sciences > Data processing.
Computer vision.
Artificial Intelligence.
Computer and Information Systems Applications.
Data Mining and Knowledge Discovery.
Computer Application in Social and Behavioral Sciences.
Computer Vision.
Online adgang:https://doi.org/10.1007/978-3-031-62700-2
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Indholdsfortegnelse:
  • -- Classification and Clustering.
  • Improving the robustness to color perturbations of classification and regression models in the visual evaluation of fruits and vegetables.
  • Clustering Under Radius Constraints Using Minimum Dominating Sets.
  • Learning Typicality Inclusions in a Probabilistic Description Logic for Concept Combination.
  • Neural Network and Natural Language Processing.
  • LLMental Classification of mental disorders with large language models.
  • CSEPrompts A Benchmark of Introductory Computer Science Prompts.
  • Semantically-Informed Domain Adaptation for Named Entity Recognition.
  • Token Pruning by Dimensionality Reduction Methods on TCT Colbert for Reranking.
  • AI Tools and Models.
  • Exploiting microRNA expression data for the diagnosis of disease conditions and the discovery of novel biomarkers.
  • HERSE: Handling and Enhancing RDF Summarization through blank node Elimination.
  • Rough Sets For a Neuromorphic CMOS System.
  • Neural Network and Data Mining.
  • Erasing the Shadow Sanitization of Images with Malicious Payloads using Deep Autoencoders.
  • Digilog Enhancing Website Embedding on Local Governments - A Comparative Analysis.
  • A Stream Data Mining Approach to Handle Concept Drifts in Process Discovery.
  • Explainability in AI.
  • Enhancing temporal Transformers for financial time series via local surrogate interpretability.
  • Explaining commonalities of clusters of RDF resources in natural language.
  • Shapley-Based Data Valuation Method for the Machine Learning Data Markets (MLDM).
  • Industry Session.
  • ScoredKNN: An Efficient KNN Recommender based on Dimensionality Reduction for Big Data.
  • Siamese Networks for Unsupervised Failure Detection in Smart Industry.
  • Adaptive Forecasting of Extreme Electricity Load.
  • Explaining Voltage Control Decisions: A Scenario-Based Approach in Deep Reinforcement Learning.
  • Knowledge Graphs for Data Integration in Retail.
  • Learning with Complex Data.
  • Bayesian Approach for Parameter Estimation in Vehicle Lateral Dynamics.
  • Assessing Distance Measures for Change Point Detection in Continual Learning Scenarios.
  • SPLindex A Spatial Polygon Learned Index .
  • Recommendation Systems and Prediction.
  • Action Rules Discovery Leveraging Attributes Correlation Based Vertical Partitioning.
  • HalpernSGD A Halpern-inspired Optimizer for Accelerated Neural Network Convergence and Reduced Carbon Footprint.
  • Integrating Predictive Process Monitoring Techniques in Smart Agriculture.

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