E-grāmata: Advances in Computational Collective Intelligence: 15th International Conference, ICCCI 2023, Budapest, Hungary, September 27-29, 2023, Proceedings

Collective Intelligence and Collective Decision-Making.- Assessing the
Effects of Expanded Input Elicitation and Machine Learning-based Priming for
Crowd Stock Prediction.- RaReSi: An Approach Combining Ratings and Reviews to
Measure User Similarity in Neighbor-based Recommender Systems.- Personalized
Quiz-Based Perfume Recommender System Using Social Data.- LSTM-based QoE
Evaluation for Web Microservices Reputation Scoring.- Previous Opinions is
All You Need - Legal Information Retrieval System.- An Agent-Based Network
Model for Interpersonal Emotion Regulation in Human-Bot Interaction.- Deep
Learning Techniques.- Optimizing Deep Learning for Computer-Aided Diagnosis
of Lung Diseases: An Automated Method Combining Evolutionary Algorithm and
Transfer Learning.- Deep Bidirectional LSTM Network Learning-Based Sentiment
Analysis for Tunisian Dialectical Facebook Content during the Spread of the
Coronavirus Pandemic.- Interpretation of immunofluorescence slides by Deep
Learning techniques: Anti-nuclear antibodies case study.- An improved
approach for Parkinsons disease classification based on convolutional neural
network.- A Convolutional Recurrent Neural Network model for Classification
of Parkinsons Disease from Resting State EEG signals.- Recognition of
Alzheimers Disease based on Transfer Learning Approach using Brain MRI
Images With Regularization.- Detection and analyzing satellite images by
using Conventional neural network.- Classifying Chicken-Made Food Images
Using Enhanced MobilNetV2.- Natural Language Processing.- Initial approach to
pharmaceutical opinion search in polish language.- WSDTN a novel dataset for
Arabic word sense disambiguation.- CNN-BiLSTM model for Arabic Dialect
Identification.- Active Learning with AraGPT2 for Arabic Named Entity
Recognition.- FreMPhone: A French Mobile Phone Corpus for Aspect-based
Sentiment Analysis.- OTSummarizer an Optimal Transport based approach for
extractive text summarization.- Towards a hybrid document indexing approach
for Arabic documentary retrieval system.- Sh-DistilBERT: new transfer
learning model for Arabic Sentiment Analysis and Aspect Category
Detection.- Data Minning and Machine learning.- A hybrid method of k-nearest
neighbors with decision tree for water quality classification in
aquaculture.- Evaluating Web Crawlers with Machine Learning Algorithms for
Accurate Location Extraction from Job Offers.- A Design Science Research
Approach Towards Knowledge Discovery and Predictive Maintenance of MEMS
Inertial Sensors Using Machine Learning.- Efficient Pruning Strategy for
Mining High Utility Quantitative Itemsets.- AAPL forecasting using
contemporary time series models.- Improving Gossip Learning via Limited Model
Merging.- Ensemble Machine Learning-Based Egg Parasitism Identification for
Endangered Bird Conservation.- Social Networks and Speek Communication.- A
Comparative Analysis of Long Covid in the French Press and Twitter.- Semantic
analysis of transit related tweets in London and Prague.- k-shell Without
Decomposition.- Difficulties developing a childrens speech recognition
system for languages with limited training data.- Kazakh-Uzbek Speech Cascade
Machine Translation on Complete Set of Endings.- Cybersecurity and Internet
of Things.- Human-related security threats and countermeasures of electronic
banking and identity services - Polish case study.- Design and Development of
IoT based Medical Cleanroom.- Reliable framework for Digital Forensics in
Medical Internet of Things.- Federated Learning - Opportunities and
Application Challenges.- Cooperative Strategies for Decision Making and
Optimization.- A new Ant population based improvement heuristic for solving
large scale TSP.- Comparison of various mutation operators of the bacterial
memetic algorithm on the traveling salesman problem.- Comparing Lamarckian
and Baldwinian Approaches in Memetic Optimization.- A Fitness Approximation
Assisted Hyper-heuristic for the Permutation Flowshop Problem.- Generalized
objective function to ensure robust evaluation for evolutionary storage
location assignment algorithms.- Bacterial Evolutionary Algorithm based
Autoencoder Architecture Search for Anomaly Detection.- Digital Content
Understanding and Apllication for Industry 4.0.- Improved Object Detection by
Utilizing the Image Stream.- Combination of DE-GAN With CNN-LSTM for Arabic
OCR on Images with Colorful Backgrounds.- A Solution for Building a V-Museum
Based on Virtual Reality Application.- Synthetic football sprite animations
learned across the pitch.- Solving the Hydrophobic-Polar model with Nested
Monte Carlo Search.- Ground Truth Data Generator In Automotive Infrared
Sensor Vision Problems Using a Minimum Set of Operations.- Theoretical and
empirical testing of the randomness of a quantum random number generator with
quantum entanglement.- Computational Intelligence in Medical
Applications.- Robust Brain Age Estimation via Regression Models and
MRI-derived Features.- Efficient Analysis of Patient Length of Stay in
Hospitals Using Classification and Clustering Approaches.
Electrocardiogram-based Heart Disease Classification with Machine Learning
Techniques.- SS-FL: Self-Supervised Federated Learning for COVID-19 Detection
from Chest X-ray Images.- A New Approach For The Diagnosis of Children
Personality Disorders Based On Semantic Analysis.- Comparative Analysis of
Human Action Recognition Classification for Ambient Assisted Living.-
Overview of Time Series Classification based on symbolic discretization for
ECG applications.- Res 1D CNN and BiLSTM with Attention Mechanism Integration
for Arrhythmia Diagnosis.