06214nam a22006495i 4500 978-3-031-62700-2 DE-He213 20251030112315.0 cr nn 008mamaa 240617s2024 sz | s |||| 0|eng d 9783031627002 978-3-031-62700-2 10.1007/978-3-031-62700-2 doi Q334-342 TA347.A78 UYQ bicssc COM004000 bisacsh UYQ thema Foundations of Intelligent Systems [electronic resource] : 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. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. XIX, 316 p. 80 illus., 61 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Lecture Notes in Artificial Intelligence, 2945-9141 ; 14670 -- 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. 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. Artificial intelligence. 58441 Application software. Data mining. 6941 Social sciences Data processing. 65741 Computer vision. Artificial Intelligence. 58441 Computer and Information Systems Applications. Data Mining and Knowledge Discovery. Computer Application in Social and Behavioral Sciences. 65743 Computer Vision. Appice, Annalisa. editor. (orcid)0000-0001-9840-844X https://orcid.org/0000-0001-9840-844X edt http://id.loc.gov/vocabulary/relators/edt 78785 Azzag, Hanane. editor. (orcid)0000-0001-6876-0688 https://orcid.org/0000-0001-6876-0688 edt http://id.loc.gov/vocabulary/relators/edt 78786 Hacid, Mohand-Said. editor. (orcid)0000-0002-9591-9591 https://orcid.org/0000-0002-9591-9591 edt http://id.loc.gov/vocabulary/relators/edt 78787 Hadjali, Allel. editor. (orcid)0000-0002-4452-1647 https://orcid.org/0000-0002-4452-1647 edt http://id.loc.gov/vocabulary/relators/edt 78788 Ras, Zbigniew. editor. (orcid)0000-0002-8619-914X https://orcid.org/0000-0002-8619-914X edt http://id.loc.gov/vocabulary/relators/edt 78789 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031626999 Printed edition: 9783031627019 Lecture Notes in Artificial Intelligence, 2945-9141 ; 14670 https://doi.org/10.1007/978-3-031-62700-2 ZDB-2-SCS ZDB-2-SXCS ZDB-2-LNC 60776 60776