Advances in computational intelligen...
Mexican International Conference on Artificial Intelligence (2022 :)

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  • Advances in computational intelligence = 21st Mexican International Conference on Artificial Intelligence, MICAI 2022, Monterrey, Mexico, October 24-29, 2022 : proceedings.. Part II /
  • 紀錄類型: 書目-電子資源 : Monograph/item
    正題名/作者: Advances in computational intelligence/ edited by Obdulia Pichardo Lagunas, Juan Martinez-Miranda, Bella Martinez Seis.
    其他題名: 21st Mexican International Conference on Artificial Intelligence, MICAI 2022, Monterrey, Mexico, October 24-29, 2022 : proceedings.
    其他題名: MICAI 2022
    其他作者: Pichardo Lagunas, Obdulia.
    團體作者: Mexican International Conference on Artificial Intelligence
    出版者: Cham :Springer Nature Switzerland : : 2022.,
    面頁冊數: xxiv, 385 p. :ill. (chiefly color), digital ;24 cm.
    內容註: Machine 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.
    Contained By: Springer Nature eBook
    標題: Computational intelligence - Congresses. -
    電子資源: https://doi.org/10.1007/978-3-031-19496-2
    ISBN: 9783031194962
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