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Hybrid artificial intelligent system...
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HAIS (Conference) (2024 :)
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Hybrid artificial intelligent systems = 19th International Conference, HAIS 2024, Salamanca, Spain, October 9-11, 2024 : proceedings.. Part I /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Hybrid artificial intelligent systems/ edited by Héctor Quintián ... [et al.].
Reminder of title:
19th International Conference, HAIS 2024, Salamanca, Spain, October 9-11, 2024 : proceedings.
remainder title:
HAIS 2024
other author:
Quintián, Héctor.
corporate name:
HAIS (Conference)
Published:
Cham :Springer Nature Switzerland : : 2025.,
Description:
xvii, 355 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:
Biomedical Applications -- Surface EMG Profiling in Parkinsons Disease Advancing Severity Assessment with GCN SVM -- Batch balancing Improvement with Data Augmentation Techniques for Clinical Electroencephalographic Data -- The Third Codon Nucleotides Role in Genetic Recombination Within SARSCoV2 Spike Protein A Pilot Study -- Machine learning for the identification of biomarker and risk factors associated with depression in adult population Preliminary results on a small cohort -- Unveiling HIV1 U Sequences Shedding Light Through Transfer Learning on Genomic Spectrograms -- Model to early detection of autism spectrum disorder through opinion mining approach -- A Short Analysis of Hybrid Approaches in COVID19 for Detection and Diagnosing -- A Graph Neural Network with Multi head Attention for Universal Brain Disease Diagnosis from fMRI Images -- A computer vision approach to detect facial characteristics related to encephalopathy in term infants -- Data Mining and Decision Support Systems -- SPADE Norms a distributed general framework for normative multi agent systems -- Finding Optimal Classroom Arrangements to Minimize Cheating in Exams Using a Hybrid AI System -- Resilience to the Flowing Unknown an Open Set Recognition Framework for Data Streams -- A comparison procedure for the evaluation of metaheuristics -- Nyström and RFF Ensembles For Large Scale Kernel Predictions -- Application of transfer learning to online models in malware detection -- A New Training Algorithm for Support Vector Machines -- Soft Adaptive Segments for Bio Inspired Temporal Memory -- Assessing Generative Artificial Intelligence in Fundamental Physics with Gaussian Processes -- Implementation of Classical Decision Trees in a Quantum Computing paradigm -- Machine Learning methods as Robust Quantum Noise Estimators -- Deep Learning -- The Impact of Data Annotations on the Performance of Object Detection Models in Icon Detection for GUI Images -- Bayesian Model Selection Pruning in Predictive Maintenance -- Neonates crying detection through feature extraction and Machine Learning methods -- Differentiable Prototypes with Distributed Memory Network for Continual Learning -- Evolutionary Computation and Optimization -- Efficient Continuous Sign Language Recognition with Temporal Shift and Channel Attention -- Solving the clustered minimum routing tree problem using Prüfer coding based hybrid genetic algorithms -- Diversity Population Metrics in Diploid and Haploid Genetic Algorithm Variants -- Early failure detection for Air Production Unit in Metro Trains.
Contained By:
Springer Nature eBook
Subject:
Artificial intelligence - Congresses. -
Online resource:
https://doi.org/10.1007/978-3-031-74183-8
ISBN:
9783031741838
Hybrid artificial intelligent systems = 19th International Conference, HAIS 2024, Salamanca, Spain, October 9-11, 2024 : proceedings.. Part I /
Hybrid artificial intelligent systems
19th International Conference, HAIS 2024, Salamanca, Spain, October 9-11, 2024 : proceedings.Part I /[electronic resource] :HAIS 2024edited by Héctor Quintián ... [et al.]. - Cham :Springer Nature Switzerland :2025. - xvii, 355 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,148571611-3349 ;. - Lecture notes in computer science ;14857..
Biomedical Applications -- Surface EMG Profiling in Parkinsons Disease Advancing Severity Assessment with GCN SVM -- Batch balancing Improvement with Data Augmentation Techniques for Clinical Electroencephalographic Data -- The Third Codon Nucleotides Role in Genetic Recombination Within SARSCoV2 Spike Protein A Pilot Study -- Machine learning for the identification of biomarker and risk factors associated with depression in adult population Preliminary results on a small cohort -- Unveiling HIV1 U Sequences Shedding Light Through Transfer Learning on Genomic Spectrograms -- Model to early detection of autism spectrum disorder through opinion mining approach -- A Short Analysis of Hybrid Approaches in COVID19 for Detection and Diagnosing -- A Graph Neural Network with Multi head Attention for Universal Brain Disease Diagnosis from fMRI Images -- A computer vision approach to detect facial characteristics related to encephalopathy in term infants -- Data Mining and Decision Support Systems -- SPADE Norms a distributed general framework for normative multi agent systems -- Finding Optimal Classroom Arrangements to Minimize Cheating in Exams Using a Hybrid AI System -- Resilience to the Flowing Unknown an Open Set Recognition Framework for Data Streams -- A comparison procedure for the evaluation of metaheuristics -- Nyström and RFF Ensembles For Large Scale Kernel Predictions -- Application of transfer learning to online models in malware detection -- A New Training Algorithm for Support Vector Machines -- Soft Adaptive Segments for Bio Inspired Temporal Memory -- Assessing Generative Artificial Intelligence in Fundamental Physics with Gaussian Processes -- Implementation of Classical Decision Trees in a Quantum Computing paradigm -- Machine Learning methods as Robust Quantum Noise Estimators -- Deep Learning -- The Impact of Data Annotations on the Performance of Object Detection Models in Icon Detection for GUI Images -- Bayesian Model Selection Pruning in Predictive Maintenance -- Neonates crying detection through feature extraction and Machine Learning methods -- Differentiable Prototypes with Distributed Memory Network for Continual Learning -- Evolutionary Computation and Optimization -- Efficient Continuous Sign Language Recognition with Temporal Shift and Channel Attention -- Solving the clustered minimum routing tree problem using Prüfer coding based hybrid genetic algorithms -- Diversity Population Metrics in Diploid and Haploid Genetic Algorithm Variants -- Early failure detection for Air Production Unit in Metro Trains.
This two-part proceedings volume constitutes the refereed proceedings of the 19th International Conference on Hybrid Artificial Intelligent Systems (HAIS 2024), held in Salamanca, Spain, during October 9-11, 2024. The 52 full papers were carefully reviewed and selected from 112 submissions. They were organized in topical sections as follows: Part I: Biomedical Applications, Data Mining and Decision Support Systems, Deep Learning, Evolutionary Computation and Optimization. Part II: HAIS Applications, HAIS Energy Applications, Image and Text Processing, Reinforced Learning.
ISBN: 9783031741838
Standard No.: 10.1007/978-3-031-74183-8doiSubjects--Topical Terms:
606815
Artificial intelligence
--Congresses.
LC Class. No.: Q334 / .H35 2024
Dewey Class. No.: 006.3
Hybrid artificial intelligent systems = 19th International Conference, HAIS 2024, Salamanca, Spain, October 9-11, 2024 : proceedings.. Part I /
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Biomedical Applications -- Surface EMG Profiling in Parkinsons Disease Advancing Severity Assessment with GCN SVM -- Batch balancing Improvement with Data Augmentation Techniques for Clinical Electroencephalographic Data -- The Third Codon Nucleotides Role in Genetic Recombination Within SARSCoV2 Spike Protein A Pilot Study -- Machine learning for the identification of biomarker and risk factors associated with depression in adult population Preliminary results on a small cohort -- Unveiling HIV1 U Sequences Shedding Light Through Transfer Learning on Genomic Spectrograms -- Model to early detection of autism spectrum disorder through opinion mining approach -- A Short Analysis of Hybrid Approaches in COVID19 for Detection and Diagnosing -- A Graph Neural Network with Multi head Attention for Universal Brain Disease Diagnosis from fMRI Images -- A computer vision approach to detect facial characteristics related to encephalopathy in term infants -- Data Mining and Decision Support Systems -- SPADE Norms a distributed general framework for normative multi agent systems -- Finding Optimal Classroom Arrangements to Minimize Cheating in Exams Using a Hybrid AI System -- Resilience to the Flowing Unknown an Open Set Recognition Framework for Data Streams -- A comparison procedure for the evaluation of metaheuristics -- Nyström and RFF Ensembles For Large Scale Kernel Predictions -- Application of transfer learning to online models in malware detection -- A New Training Algorithm for Support Vector Machines -- Soft Adaptive Segments for Bio Inspired Temporal Memory -- Assessing Generative Artificial Intelligence in Fundamental Physics with Gaussian Processes -- Implementation of Classical Decision Trees in a Quantum Computing paradigm -- Machine Learning methods as Robust Quantum Noise Estimators -- Deep Learning -- The Impact of Data Annotations on the Performance of Object Detection Models in Icon Detection for GUI Images -- Bayesian Model Selection Pruning in Predictive Maintenance -- Neonates crying detection through feature extraction and Machine Learning methods -- Differentiable Prototypes with Distributed Memory Network for Continual Learning -- Evolutionary Computation and Optimization -- Efficient Continuous Sign Language Recognition with Temporal Shift and Channel Attention -- Solving the clustered minimum routing tree problem using Prüfer coding based hybrid genetic algorithms -- Diversity Population Metrics in Diploid and Haploid Genetic Algorithm Variants -- Early failure detection for Air Production Unit in Metro Trains.
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based on 0 review(s)
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W9513334
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EB Q334 .H35 2024
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