001450585 000__ 06486cam\a2200601\i\4500 001450585 001__ 1450585 001450585 003__ OCoLC 001450585 005__ 20230310004533.0 001450585 006__ m\\\\\o\\d\\\\\\\\ 001450585 007__ cr\cn\nnnunnun 001450585 008__ 221024s2022\\\\sz\a\\\\o\\\\\101\0\eng\d 001450585 020__ $$a9783031194962$$q(electronic bk.) 001450585 020__ $$a3031194969$$q(electronic bk.) 001450585 020__ $$z9783031194955 001450585 020__ $$z3031194950 001450585 0247_ $$a10.1007/978-3-031-19496-2$$2doi 001450585 035__ $$aSP(OCoLC)1348607952 001450585 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dEBLCP$$dOCLCF$$dOCLCQ$$dUKAHL 001450585 049__ $$aISEA 001450585 050_4 $$aQ342 001450585 08204 $$a006.3$$223/eng/20221024 001450585 1112_ $$aMexican International Conference on Artificial Intelligence$$n(21st :$$d2022 :$$cMonterrey, Mexico) 001450585 24510 $$aAdvances in computational intelligence :$$b21st Mexican International Conference on Artificial Intelligence, MICAI 2022, Monterrey, Mexico, October 24-29, 2022, proceedings.$$nPart II /$$cObdulia Pichardo Lagunas, Juan Martínez-Miranda, Bella Martínez Seis (eds.). 001450585 24630 $$aMICAI 2022 001450585 264_1 $$aCham :$$bSpringer,$$c[2022] 001450585 264_4 $$c©2022 001450585 300__ $$a1 online resource (xxiv, 385 pages) :$$billustrations (chiefly color). 001450585 336__ $$atext$$btxt$$2rdacontent 001450585 337__ $$acomputer$$bc$$2rdamedia 001450585 338__ $$aonline resource$$bcr$$2rdacarrier 001450585 4901_ $$aLecture notes in computer science. Lecture notes in artificial intelligence ;$$v13613 001450585 500__ $$aSelected conference papers. 001450585 500__ $$aIncludes author index. 001450585 5050_ $$aMachine and Deep Learning -- Skipped Nonsynaptic Backpropagation for Interval-valued Long-term Cognitive Networks -- Cross-target Stance Classification as Domain Adaptation -- Impact of loss function in Deep Learning methods for accurate retinal vessel segmentation -- Embedded Implementation of the Hypersphere Neural Network for Energy Consumption Monitoring -- MACFE: A Meta-learning and Causality Based Feature Engineering Framework -- Time Series Forecasting with Quantum Machine Learning Architectures -- Explainable Model of Credit Risk Assessment Based on Convolutional Neural Networks -- Reinforcement Learning with Success Induced Task Prioritization -- Cooperative Chaotic Exploration with UAVs Combining Pheromone Dispersion and Hopfield Chaotic Neural Network -- Machine Learning-based Decision Making in Evolutionary Multiobjective Clustering -- RBF Neural Network Based on FT-Windows for Auto-Tunning PID Controller -- Pursuing the Deep-Learning-based Classification of Exposed and Imagined Colors from EEG -- Data Stream Mining for Dynamic Student Modeling -- CESAMMO: Categorical Encoding by Statistical Applied Multivariable Modeling -- Heart Failure Disease Prediction Using Machine Learning Models -- Classification of flood warnings applying a convolutional neural network -- Machine Learning Techniques in Credit Default Prediction -- Convolutional and dense ANN for cloud kinetics fore-casting using satellite images -- The role of the number of examples in Convolutional Neural Networks with Hebbian Learning -- Image Processing and Pattern Recognition -- Vision-based Gesture Recognition for Smart Light Switching -- On the generalization capabilities of FSL methods through domain adaptation: a case study in endoscopic kidney stone image classification -- A Novel Hybrid Endoscopic Dataset for Evaluating Machine Learning-based Photometric Image Enhancement Models -- Comparison of automatic prostate zones segmentation models in MRI images using U-net-like architectures -- Towards an interpretable model for automatic classification of endoscopy images -- Reversible image authentication scheme with tampering reconstruction based on very deep super resolution network -- Improving artefact detection in endoscopic video using a real-time ensemble method -- White Blood Cell Detection and Classification in Blood Smear Images Using a One-Stage Object Detector and Similarity Learning -- Evolutionary and Metaheuristic Algorithms -- Towards A Complete Multi-Agent Pathfinding Algorithm For Large Agents -- Analysis Of The Anytime MAPF Solvers Based On The Combination Of Conflict-Based Search (CBS) and Focal Search (FS) -- Studying Special Operators for the Application of Evolutionary Algorithms in the Search of Optimal Boolean Functions for Cryptography -- Unification of Source-Code Re-use Similarity Measures -- Considerations in the Incremental Hypervolume Algorithm of the WFG -- A Hybrid Hyperheuristic Approach for the Containership Stowage Problem Considering the Ship Stability -- Mathematical optimization model for raw sugar unloading delay from harbor to storage silos. 001450585 506__ $$aAccess limited to authorized users. 001450585 520__ $$aThe two-volume set LNAI 13612 and 13613 constitutes the proceedings of the 21st Mexican International Conference on Artificial Intelligence, MICAI 2022, held in Monterrey, Mexico, in October 2022. The total of 63 papers presented in these two volumes was carefully reviewed and selected from 137 submissions. The first volume, Advances in Computational Intelligence, contains 34 papers structured into three sections: Machine and Deep Learning Image Processing and Pattern Recognition Evolutionary and Metaheuristic Algorithms The second volume contains 29 papers structured into two sections: Natural Language Processing Intelligent Applications and Robotics. 001450585 588__ $$aDescription based on print version record. 001450585 650_0 $$aComputational intelligence$$vCongresses. 001450585 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772 001450585 655_7 $$aConference papers and proceedings.$$2lcgft 001450585 655_0 $$aElectronic books. 001450585 7001_ $$aPichardo Lagunas, Obdulia,$$eeditor.$$1https://isni.org/isni/0000000454031689 001450585 7001_ $$aMartínez-Miranda, Juan,$$eeditor. 001450585 7001_ $$aMartínez Seis, Bella,$$eeditor. 001450585 77608 $$iPrint version:$$aMexican International Conference on Artificial Intelligence (21st : 2022 : Monterrey, Mexico), creator.$$tAdvances in computational intelligence : Part II.$$dCham : Springer Nature Switzerland, 2022$$z9783031194955$$w(OCoLC)1346938011 001450585 830_0 $$aLecture notes in computer science ;$$v13613. 001450585 830_0 $$aLecture notes in computer science.$$pLecture notes in artificial intelligence. 001450585 852__ $$bebk 001450585 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-19496-2$$zOnline Access$$91397441.1 001450585 909CO $$ooai:library.usi.edu:1450585$$pGLOBAL_SET 001450585 980__ $$aBIB 001450585 980__ $$aEBOOK 001450585 982__ $$aEbook 001450585 983__ $$aOnline 001450585 994__ $$a92$$bISE