LEADER 00975nam a22002771i 4500 001 991000843579707536 005 20021231132018.0 008 021101s1983 it a||||||||||||||||ita 035 $ab12063137-39ule_inst 035 $aARCHE-015293$9ExL 040 $aDip.to Filologia Ling. e Lett.$bita$cA.t.i. Arché s.c.r.l. Pandora Sicilia s.r.l. 082 04$a659.1 100 1 $aOgilvy, David$0142866 245 13$aLa pubblicità /$cDavid Ogilvy 260 $aMilano :$bA. Mondadori,$c1983 300 $a223 p. :$bill., 1 ritr. ;$c25 cm 490 0 $aLibri illustrati Mondadori 500 $aTrad. di Isa Surci. 650 4$aPubblicità 765 0 $tOgilvy on advertising 907 $a.b12063137$b28-04-17$c01-04-03 912 $a991000843579707536 945 $aLE008 LLI I I 28$g1$iLE008A-03735$lle008$on$pE0.00$q-$rl$sm $t0$u0$v0$w0$x0$y.i12359191$z01-04-03 996 $aPubblicità$9139022 997 $aUNISALENTO 998 $ale008$b01-04-03$cm$da $e-$fita$git $h3$i1 LEADER 08381nam 22005655 450 001 996546849803316 005 20231106232157.0 010 $a3-031-40725-3 024 7 $a10.1007/978-3-031-40725-3 035 $a(MiAaPQ)EBC30722808 035 $a(Au-PeEL)EBL30722808 035 $a(DE-He213)978-3-031-40725-3 035 $a(PPN)272260126 035 $a(EXLCZ)9928100205200041 100 $a20230817d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aHybrid Artificial Intelligent Systems$b[electronic resource] $e18th International Conference, HAIS 2023, Salamanca, Spain, September 5?7, 2023, Proceedings /$fedited by Pablo García Bringas, Hilde Pérez García, Francisco Javier Martínez de Pisón, Francisco Martínez Álvarez, Alicia Troncoso Lora, Álvaro Herrero, José Luis Calvo Rolle, Héctor Quintián, Emilio Corchado 205 $a1st ed. 2023. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2023. 215 $a1 online resource (789 pages) 225 1 $aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v14001 311 08$aPrint version: García Bringas, Pablo Hybrid Artificial Intelligent Systems Cham : Springer,c2023 9783031407246 327 $aAnomaly and Fault Detection -- One-Class Reconstruction Methods for Categorizing DoS Attacks on CoAP -- Application of anomaly detection models to malware detection in the presence of concept drift -- Identification of anomalies in urban sound data with Autoencoders -- Revisiting Histogram Based Outlier Scores: Strengths and Weaknesses -- Data Mining and Decision Support Systems -- Model performance prediction: a Meta-Learning approach for concept drift detection -- Reinforcing Assessment Processes Using Proactive Case-Based Reasoning Mechanisms -- Meta-Learning for hyperparameters tuning in CNNs for Chest Images -- A Fuzzy Logic Ensemble Approach to Concept Drift Detection -- Multi-Task Gradient Boosting -- Exploratory Study of Data Sampling Methods for Imbalanced Legal Text Classification -- Exploring delay reduction on Edge Computing architectures from a Heuristic approach -- Probability Density Function for Clustering Validation -- Comprehensive analysis of different techniques for data augmentation and proposal of new variants of BOSME & GAN -- Multidimensional Models Supported by Document-Oriented Databases -- Financial Distress Prediction in an Imbalanced Data Stream Environment -- Improving the Quality of Quantum Services Generation Process: Controlling Errors and Noise -- Comparison of deep reinforcement learning path-following system based on road geometry and an adaptive cruise control for autonomous vehicles -- Deep Learning -- A New Hybrid CNN-LSTM for Wind Power Forecasting in Ethiopia -- Companion Classification Losses for Regression Problems -- Analysis of transformer model applications -- Real-time Workflow Scheduling in Cloud with Recursive Neural Network and List Scheduling -- Robust Losses in Deep Regression -- Structure Learning in Deep Multi-Task Models -- Validating by Deep Learning an Efficient Method for Genomic Sequence Analysis: Genomic Spectrograms -- Sentiment Analysis for Vietnamese ? Based Hybrid Deep Learning Models -- Optimizing LIME explanations using REVEL Metrics -- Assessing the Impact of Noise on Quantum Neural Networks: An Experimental Analysis -- Varroa mite detection using deep learning techniques -- Evolutionary Computation and Optimization -- Enhancing Evolutionary Optimization Performance under Byzantine Fault Conditions -- A hybrid based genetic algorithm for solving the clustered generalized traveling salesman problem -- Feature Ranking for Feature Sorting and Feature Selection with Optimisation -- Efficient Simulation of Pollutant Dispersion using Machine Learning -- Hybrid Intelligent Parsimony Search in Small High-dimensional Datasets -- An integer linear programming model for team formation in the classroom with constraints -- Improved Evolutionary Approach for Tuning Topic Models with Additive Regularization -- Time of Arrival error characterization for precise indoor localization of Autonomous Ground Vehicles -- Feature Selection based on a Decision Tree Genetic Algorithm -- Exact and Heuristic Lexicographic Methods for the Fuzzy Traveling Salesman Problem -- A Novel Genetic Algorithm with Specialized Genetic Operators for Clustering -- The Analysis of Hybrid Brain Storm Optimisation Approaches in Feature Selection -- HAIS Applications -- Supporting Emotion Recognition in Human-Robot Interactions: An Experimental Italian Textual Dataset -- Hybrid Intelligent Control for Maximum Power Point Tracking of a Floating Wind Turbine -- Statistical Dialog Tracking and Management for Task-oriented Conversational Systems -- A Causally Explainable Deep Learning Model with Modular Bayesian Network for Predicting Electric Energy Demand -- Using Large Language Models for Interpreting Autonomous Robots Behaviors -- Comparative analysis of intelligent techniques for categorization of the operational status of LiFePo4 batteries -- To Enhance Full-Text Biomedical Document Classification through Semantic Enrichment -- Predicting innovative cities using spatio-temporal activity patterns -- Daily accumulative photovoltaic energy prediction using hybrid intelligent model -- Comparison of geospatial trajectory clustering and feature trajectory clustering for public transportation trip data -- Image and Speech Signal Processing -- Adapting YOLOv8 as a vision-based animal detection system to facilitate herding -- Image classification understanding with Model Inspector tool -- Study on Synthetic Video Generation of Embryo Development -- Image reconstruction using Cellular Automata and Neural Networks -- Agents and Multiagents -- Monte-Carlo Tree Search for Multi-Agent Pathfinding: Preliminary Results -- The Problem of Concept Learning and Goals of Reasoning in Large Language Models -- Multi-Agent System for Multimodal Machine Learning Object Detection -- Biomedical Applications -- Convolutional Neural Networks for Diabetic Retinopathy Grading from iPhone Fundus Images -- Risk factors and survival after premature hospital readmission in frail subjects with delirium -- Generalizing an Improved GrowCut Algorithm for Mammography Lesion Detection -- Coherence of COVID-19 mortality of Spain versus western European countries -- A Feature Selection and Association Rule Approach to Identify Genes Associated with Metastasis and Low Survival in Sarcoma -- Analysis of Frequency Bands in Electroencephalograms for Automatic Detection of Photoparoxysmal Responses -- Textural and shape features for lesion classification in mammogram analysis -- Intent Recognition using Recurrent Neural Networks on Vital Sign Data: A Machine Learning Approach. 330 $aThis book constitutes the refereed proceedings of the 18th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2023, held in Salamanca, Spain, during September 5?7, 2023. The 65 full papers included in this book were carefully reviewed and selected from 120 submissions. They were organized in topical sections as follows: Anomaly and Fault Detection, Data Mining and Decision Support Systems, Deep Learning, Evolutionary Computation and Optimization, HAIS Applications, Image and Speech Signal Processing, Agents and Multiagents, Biomedical Applications. 410 0$aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v14001 606 $aArtificial intelligence 606 $aArtificial Intelligence 615 0$aArtificial intelligence. 615 14$aArtificial Intelligence. 676 $a006.3 700 $aGarcía Bringas$b Pablo$01423607 701 $aPérez García$b Hilde$01423608 701 $aMartínez de Pisón$b Francisco Javier$01257839 701 $aMartínez Álvarez$b Francisco$01423609 701 $aTroncoso Lora$b Alicia$01423610 701 $aHerrero$b Álvaro$01423611 701 $aCalvo Rolle$b José Luis$01378563 701 $aQuintián$b Héctor$01423612 701 $aCorchado$b Emilio$01423613 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996546849803316 996 $aHybrid Artificial Intelligent Systems$93552033 997 $aUNISA LEADER 03932nam 2200745 a 450 001 9910972175503321 005 20200520144314.0 010 $a9781134769629 010 $a1134769628 010 $a9781280334900 010 $a1280334908 010 $a9780203005453 010 $a0203005457 035 $a(CKB)111087027075868 035 $a(EBL)168728 035 $a(OCoLC)264517641 035 $a(SSID)ssj0000187222 035 $a(PQKBManifestationID)11170839 035 $a(PQKBTitleCode)TC0000187222 035 $a(PQKBWorkID)10253561 035 $a(PQKB)10417361 035 $a(MiAaPQ)EBC168728 035 $a(Au-PeEL)EBL168728 035 $a(CaPaEBR)ebr10017451 035 $a(CaONFJC)MIL33490 035 $a(FR-PaCSA)41000888 035 $a(FRCYB41000888)41000888 035 $a(EXLCZ)99111087027075868 100 $a19951003d1996 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aKeynes and the "Classics" $ea study in language, epistemology, and mistaken identities /$fMichel Verdon 205 $a1st ed. 210 $aLondon ;$aNew York $cRoutledge$d1996 215 $a1 online resource (246 p.) 225 1 $aRoutledge studies in the history of economics,$x1349-7906 ;$v7 300 $aDescription based upon print version of record. 311 08$a9781138006942 311 08$a1138006947 311 08$a9780415140720 311 08$a0415140722 320 $aIncludes bibliographical references (p. 220-225) and index. 327 $aFront Cover; Keynes and The 'Classics'; Copyright Page; Contents; Acknowledgements; Introduction; 1 A Background to the Neoclassical Cosmology; The 'opposition' from the point of view of the marginalist 'revolutionaries'; The marginalist revolution; 2 Probing the Neoclassical Cosmology; In search of the neoclassical minimal unit; Equilibrium, exchange and perfection; The cosmological implications of perfection; 3 Strange Cosmological Bedfellows; Marshall and OCT: inverted symmetries; What's in a name?; The two Marshalls; Misunderstanding 'forces': an economics of 'resistances' 327 $a4 From Cosmology to LanguageThe conceptual costs of neoclassical economics' cosmologies; Irrealism or delusion?; 5 Keynes's Economics: What Kind of Revolution?; Isolating the minimal unit; Keynes's economics: a Galilean revolution; 6 Keynes and Speculation: Aristotle Revisited; Keynes and the rate of interest; Keynes and user costs; 7 More Substance and Transactions; Keynes and effective demand; Keynes and investment; 8 From a Galilean Cosmology to a Galilean Economics; From cosmology to language; Economic actions and their symmetrically inverse counterparts; From language to theory 327 $aConclusionAppendix 1 Mirowski on science and economics; Appendix 2 Marx's economics: successes and failures; Notes; Bibliography; Index 330 $aIs there a language which is adequate to describe our own economy? In this volume, Michel Verdon undertakes a path-breaking analysis of the three major paradigms in economics: Marxian economics, neo-classical economics and Keynesian economics. Each of these, he argues, has an inherent cosmology, and in the case of both Marxian and neo-classical economics these preclude the development of a language which can accurately describe and analyse an economy. 410 0$aRoutledge studies in the history of economics ;$v7. 606 $aKeynesian economics 606 $aMarxian economics 606 $aNeoclassical school of economics 615 0$aKeynesian economics. 615 0$aMarxian economics. 615 0$aNeoclassical school of economics. 676 $a330.15/6 700 $aVerdon$b Michel$0238434 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910972175503321 996 $aKeynes and the classics$9661412 997 $aUNINA