Engineering Applications of Neural Networks: 25th International Conference, EANN 2024, Corfu, Greece, June 2730, 2024, Proceedings 2024 ed. [Mīkstie vāki]

Deep Learning.- Active Learning with Aggregated Uncertainties from Image
AugmentationsAn Approach to Predict Optimal Configurations for LDA-based
Topic Modeling.- An Autoencoder-based approach for Anomaly Detection of
Machining Processes using Acoustic Emission signals.- An EANN-Based
Recommender System for Drug RecommendationAutomation of the error-prone PAM-4
sequence discovery for the purpose of high-speed serial receiver testing
using reinforcement learning methods.- Binary Black Hole Parameter Estimation
from Gravitational Waves with Deep Learning MethodsComparative Analysis of
Large Language Models in Structured Information Extraction from Job
Postings.- Comparative study between Q-NAS and traditional CNNs for Brain
Tumor classification.- Deep Echo State Networks for modelling of industrial
systems.- Empirical Insights into Deep Learning Models for Misinformation
Classification within Constrained Data EnvironmentEnhancing Bandwidth
Efficiency for Video Motion Transfer Applications using Deep Learning Based
Keypoint Prediction.- Enhancing Natural Language Query to SQL Query
Generation through  Classification-Based Table SelectionExploiting LMM-based
knowledge for image classification tasks.- HEADS: Hybrid Ensemble Anomaly
Detection System for Internet-of-Things NetworksHEDL-IDS2: An Innovative
Hybrid Ensemble Deep Learning Prototype for Cyber Intrusion
DetectionIntelligent framework for monitoring student emotions during online
learning.- Leveraging Diverse Data Sources for Enhanced Prediction of Severe
Weather-Related Disruptions Across Different Time Horizons.- Machine
Learning-Based Detection and Classification of Neurodevelopmental Disorders
from Speech Patterns.- Neural SDE-based Epistemic Uncertainty Quantification
in Deep Neural Networks.- Robust Traffic Prediction using Probabilistic
Spatio-temporal Graph Convolutional Network.- Support Vector Based Anomaly
Detection in Federated LearningTowards Digitisation of Technical Drawings in
Architecture:  Evaluation of CNN Classification on the Perdaw DatasetYOLOv5
and Residual Network for Intelligent Text Recognition on Degraded Serial
Number Plates.- Neural Networks.- A Spike Vision Approach for Multi-Object
Detection and Generating Dataset Using Multi-Core Architecture on Edge
DeviceEnsembles of bidirectional LSTM and GRU neural nets for predicting
mother-infant synchrony in videos.- Feature selection with L1 regularization 
in formal neurons.- Graph-Based Fault Localization in Python Projects with
Class-Imbalanced Learning.- HCER: Hierarchical Clustering-Ensemble
Regressor.- Machine Learning Modeling in Industrial Processes for Visual
AnalysisMachine Learning modeling to provide assistance to basketball
coaches.- Understanding Users' Confidence in Spoken Queries for
Conversational Search Systems.- Unsupervised Anomaly Detection Combining PCA
and Neural Gases.- Machine Learning.- A new approach to learn spatio-spectral
texture representation with randomized networks: Application to Brazilian
plant species identification.- Application of Directional Vectors for
Independent Subspaces in Bio-inspired NetworksAssessing the Impact of
Preprocessing Pipelines on fMRI based Autism Spectrum Disorder
Classification: ABIDE II resultsData-Driven Methods for Wi-Fi Anomaly
DetectionDiscrete-Time Replicator Equations and The Price of Cognition on
Parallel Neural Networks.- Evaluating forecast distributions in neural
network HAR-type models for range-based volatility.- Machine Learning
Classification of Water Conductivity raw values of "Faneromeni" Reservoir in
Crete.- Machine Learning-Based Feature Mapping for Enhanced Understanding of
the Housing MarketMachine Learning-Driven Improvements in HRV Artifact
Correction for Psychosis Prediction in the Schizophrenia Spectrum.- Machine
Unlearning; A Comparative AnalysisSecurity Analysis of Cryptographic
Algorithms: Hints from Machine Learning.