LEADER 05550nam 22006735 450 001 9910865244503321 005 20251225195039.0 010 $a3-031-62700-8 024 7 $a10.1007/978-3-031-62700-2 035 $a(CKB)32317452700041 035 $a(DE-He213)978-3-031-62700-2 035 $a(MiAaPQ)EBC31492146 035 $a(Au-PeEL)EBL31492146 035 $a(EXLCZ)9932317452700041 100 $a20240617d2024 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aFoundations of Intelligent Systems $e27th International Symposium, ISMIS 2024, Poitiers, France, June 17?19, 2024, Proceedings /$fedited by Annalisa Appice, Hanane Azzag, Mohand-Said Hacid, Allel Hadjali, Zbigniew Ras 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024. 215 $a1 online resource (XIX, 316 p. 80 illus., 61 illus. in color.) 225 1 $aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v14670 311 08$a3-031-62699-0 320 $aIncludes bibliographical references and index. 327 $a -- 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. 330 $aThis book constitutes the proceedings of the 27th International Symposium on Methodologies for Intelligent Systems, ISMIS 2024, held in Poitiers, France, in June 2024. The 18 full papers, 6 short papers and 5 industrial papers presented in this volume were carefully reviewed and selected from 46 submissions. The papers are organized in the following topical sections: Classification and Clustering; Neural Network and Natural Language Processing; AI tools and Models; Neural Network and Data Mining; Explainability in AI; Industry Session; Learning with Complex Data; Recommendation Systems and Prediction. 410 0$aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v14670 606 $aArtificial intelligence 606 $aApplication software 606 $aData mining 606 $aSocial sciences$xData processing 606 $aComputer vision 606 $aArtificial Intelligence 606 $aComputer and Information Systems Applications 606 $aData Mining and Knowledge Discovery 606 $aComputer Application in Social and Behavioral Sciences 606 $aComputer Vision 615 0$aArtificial intelligence. 615 0$aApplication software. 615 0$aData mining. 615 0$aSocial sciences$xData processing. 615 0$aComputer vision. 615 14$aArtificial Intelligence. 615 24$aComputer and Information Systems Applications. 615 24$aData Mining and Knowledge Discovery. 615 24$aComputer Application in Social and Behavioral Sciences. 615 24$aComputer Vision. 676 $a006.3 702 $aAppice$b Annalisa 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910865244503321 996 $aFoundations of Intelligent Systems$9772565 997 $aUNINA