TY  - BOOK
AU  - Appice,Annalisa
AU  - Azzag,Hanane
AU  - Hacid,Mohand-Said
AU  - Hadjali,Allel
AU  - Ras,Zbigniew
ED  - SpringerLink (Online service)
TI  - Foundations of Intelligent Systems: 27th International Symposium, ISMIS 2024, Poitiers, France, June 17-19, 2024, Proceedings 
T2  - Lecture Notes in Artificial Intelligence,
SN  - 9783031627002
AV  - Q334-342 
U1  - 006.3 23
PY  - 2024///
CY  - Cham
PB  - Springer Nature Switzerland, Imprint: Springer
KW  - Artificial intelligence
KW  - Application software
KW  - Data mining
KW  - Social sciences
KW  - Data processing
KW  - Computer vision
KW  - Artificial Intelligence
KW  - Computer and Information Systems Applications
KW  - Data Mining and Knowledge Discovery
KW  - Computer Application in Social and Behavioral Sciences
KW  - Computer Vision
N1  -  -- 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
N2  - 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
UR  - http://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-3-031-62700-2
ER  -