E-raamat: Hybrid Artificial Intelligent Systems: 19th International Conference, HAIS 2024, Salamanca, Spain, October 9-11, 2024, Proceedings, Part I

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.