This book constitutes the refereed proceedings of the 18th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2023, held in Salamanca, Spain, during September 5–7, 2023.
The 65 full papers included in this book were carefully reviewed and selected from 120 submissions. They were organized in topical sections as follows: ?Anomaly and Fault Detection, Data Mining and Decision Support Systems, Deep Learning, Evolutionary Computation and Optimization, HAIS Applications, Image and Speech Signal Processing, Agents and Multiagents, Biomedical Applicatons.
Anomaly and Fault Detection.- One-Class Reconstruction Methods for
Categorizing DoS Attacks on CoAP.- Application of anomaly detection models to
malware detection in the presence of concept drift.- Identification of
anomalies in urban sound data with Autoencoders.- Revisiting Histogram Based
Outlier Scores: Strengths and Weaknesses.- Data Mining and Decision Support
Systems.- Model performance prediction: a Meta-Learning approach for concept
drift detection.- Reinforcing Assessment Processes Using Proactive Case-Based
Reasoning Mechanisms.- Meta-Learning for hyperparameters tuning in CNNs for
Chest Images.- A Fuzzy Logic Ensemble Approach to Concept Drift
Detection.- Multi-Task Gradient Boosting.- Exploratory Study of Data Sampling
Methods for Imbalanced Legal Text Classification.- Exploring delay reduction
on Edge Computing architectures from a Heuristic approach.- Probability
Density Function for Clustering Validation.- Comprehensive analysis of
different techniques for data augmentation and proposal of new variants of
BOSME & GAN.- Multidimensional Models Supported by Document-Oriented
Databases.- Financial Distress Prediction in an Imbalanced Data Stream
Environment.- Improving the Quality of Quantum Services Generation Process:
Controlling Errors and Noise.- Comparison of deep reinforcement learning
path-following system based on road geometry and an adaptive cruise control
for autonomous vehicles.- Deep Learning.- A New Hybrid CNN-LSTM for Wind
Power Forecasting in Ethiopia.- Companion Classification Losses for
Regression Problems.- Analysis of transformer model applications.- Real-time
Workflow Scheduling in Cloud with Recursive Neural Network and List
Scheduling.- Robust Losses in Deep Regression.- Structure Learning in Deep
Multi-Task Models.- Validating by Deep Learning an Efficient Method for
Genomic Sequence Analysis: Genomic Spectrograms.- Sentiment Analysis for
Vietnamese Based Hybrid Deep Learning Models.- Optimizing LIME explanations
using REVEL Metrics.- Assessing the Impact of Noise on Quantum Neural
Networks: An Experimental Analysis.- Varroa mite detection using deep
learning techniques.- Evolutionary Computation and Optimization.- Enhancing
Evolutionary Optimization Performance under Byzantine Fault Conditions.- A
hybrid based genetic algorithm for solving the clustered generalized
traveling salesman problem.- Feature Ranking for Feature Sorting and Feature
Selection with Optimisation.- Efficient Simulation of Pollutant Dispersion
using Machine Learning.- Hybrid Intelligent Parsimony Search in Small
High-dimensional Datasets.- An integer linear programming model for team
formation in the classroom with constraints.- Improved Evolutionary Approach
for Tuning Topic Models with Additive Regularization.- Time ofArrival error
characterization for precise indoor localization of Autonomous Ground
Vehicles.- Feature Selection based on a Decision Tree Genetic Algorithm.-
Exact and Heuristic Lexicographic Methods for the Fuzzy Traveling Salesman
Problem.- A Novel Genetic Algorithm with Specialized Genetic Operators for
Clustering.- The Analysis of Hybrid Brain Storm Optimisation Approaches in
Feature Selection.- HAIS Applications.- Supporting Emotion Recognition in
Human-Robot Interactions: An Experimental Italian Textual Dataset.- Hybrid
Intelligent Control for Maximum Power Point Tracking of a Floating Wind
Turbine.- Statistical Dialog Tracking and Management for Task-oriented
Conversational Systems.- A Causally Explainable Deep Learning Model with
Modular Bayesian Network for Predicting Electric Energy Demand.- Using Large
Language Models for Interpreting Autonomous Robots Behaviors.- Comparative
analysis of intelligent techniques for categorization of the operational
status of LiFePo4 batteries.- To Enhance Full-Text Biomedical Document
Classification through Semantic Enrichment.- Predicting innovative cities
using spatio-temporal activity patterns.- Daily accumulative photovoltaic
energy prediction using hybrid intelligent model.- Comparison of geospatial
trajectory clustering and feature trajectory clustering for public
transportation trip data.- Image and Speech Signal Processing.- Adapting
YOLOv8 as a vision-based animal detection system to facilitate
herding.- Image classification understanding with Model Inspector
tool.- Study on Synthetic Video Generation of Embryo Development.- Image
reconstruction using Cellular Automata and Neural Networks.- Agents and
Multiagents.- Monte-Carlo Tree Search for Multi-Agent Pathfinding:
Preliminary Results.- The Problem of Concept Learning and Goals of Reasoning
in Large Language Models.- Multi-AgentSystem for Multimodal Machine Learning
Object Detection.- Biomedical Applicatons.- Convolutional Neural Networks for
Diabetic Retinopathy Grading from iPhone Fundus Images.- Risk factors and
survival after premature hospital readmission in frail subjects with
delirium.- Generalizing an Improved GrowCut Algorithm for Mammography Lesion
Detection.- Coherence of COVID-19 mortality of Spain versus western European
countries.- A Feature Selection and Association Rule Approach to Identify
Genes Associated with Metastasis and Low Survival in Sarcoma.- Analysis of
Frequency Bands in Electroencephalograms for Automatic Detection of
Photoparoxysmal Responses.- Textural and shape features for lesion
classification in mammogram analysis.- Intent Recognition using Recurrent
Neural Networks on Vital Sign Data: A Machine Learning Approach.
Lisainfo e-raamatute kohta