Foundations of Intelligent Systems

27th International Symposium, ISMIS 2024, Poitiers, France, June 17–19, 2024, Proceedings

Häftad, Engelska, 2024

Av Annalisa Appice, Hanane Azzag, Mohand-Said Hacid, Allel Hadjali, Zbigniew Ras

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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 submissions. The papers are organized in the following topical sections: Classification and Clustering; Neural Network and Natural Language Processing; AI tools and Models; Neural Network and Data Mining; Explainability in AI; Industry Session; Learning with Complex Data; Recommendation Systems and Prediction.

Produktinformation

Utgivningsdatum2024-06-17
Mått155 x 235 x 19 mm
Vikt511 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Artificial Intelligence
Antal sidor316
FörlagSpringer International Publishing AG
ISBN9783031626999

Tillhör följande kategorier

.- 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.