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[null,null,"Titolo",null,"Foundations of Intelligent Systems : 27th International Symposium, ISMIS 2024, Poitiers, France, June 17–19, 2024, Proceedings / / edited by Annalisa Appice, Hanane Azzag, Mohand-Said Hacid, Allel Hadjali, Zbigniew Ras"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024"]
[null,null,"ISBN",null,"3-031-62700-8"]
[null,null,"Edizione",null,"[1st ed. 2024.]"]
[null,null,"Descrizione fisica",null,"1 online resource (XIX, 316 p. 80 illus., 61 illus. in color.)"]
[null,null,"Collana",null,"Lecture Notes in Artificial Intelligence, , 2945-9141 ; ; 14670"]
[null,null,"Disciplina",null,"006.3"]
[null,null,"Soggetti",null,"Artificial intelligence"]
[{"$nulls":4},"Application software"]
[{"$nulls":4},"Data mining"]
[{"$nulls":4},"Social sciences - Data processing"]
[{"$nulls":4},"Computer vision"]
[{"$nulls":4},"Artificial Intelligence"]
[{"$nulls":4},"Computer and Information Systems Applications"]
[{"$nulls":4},"Data Mining and Knowledge Discovery"]
[{"$nulls":4},"Computer Application in Social and Behavioral Sciences"]
[{"$nulls":4},"Computer Vision"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"-- Classification and Clustering.  -- Improving the robustness to color perturbations of classification and regression models in the visual evaluation of fruits and vegetables.  -- Clustering Under Radius Constraints Using Minimum Dominating Sets.  -- Learning Typicality Inclusions in a Probabilistic Description Logic for Concept Combination.  -- Neural Network and Natural Language Processing.  -- LLMental Classification of mental disorders with large language models.  -- CSEPrompts A Benchmark of Introductory Computer Science Prompts.  -- Semantically-Informed Domain Adaptation for Named Entity Recognition.  -- Token Pruning by Dimensionality Reduction Methods on TCT Colbert for Reranking.  -- AI Tools and Models.  -- Exploiting microRNA expression data for the diagnosis of disease conditions and the discovery of novel biomarkers.  -- HERSE: Handling and Enhancing RDF Summarization through blank node Elimination.  -- Rough Sets For "]
[{"$nulls":4},"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."]
[null,null,null,"Sommario/riassunto","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."]