Hybrid Artificial Intelligent Systems: 18th International Conference, Hais 2023, Salamanca, Spain, September 5-7, 2023, Proceedings

ISBN-13: 9783031407246 / Angielski

Pablo García Bringas; Hilde Pérez García; Francisco Javier Martínez de Pisón

Spis treści

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 of Arrival 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-Agent System 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.