Advances in Computational Collective Intelligence

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 Parkinson's disease classification based on convolutional neural network.- A Convolutional Recurrent Neural Network model for Classification of Parkinson's Disease from Resting State EEG signals.- Recognition of Alzheimer's 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 children's 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.

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• Hardware do computador
• Equipamentos e tecnologia educacional, computer-aided learning (CAL)
• Inteligência artificial
• Tecnologia da informação: aspectos gerais
• Pesquisa e estatística social
• Visão por computador

artificial intelligence;computer networks;computer security;computer systems;computer vision;correlation analysis;data mining;databases;deep learning;Human-Computer Interaction (HCI);image analysis;image processing;image segmentation;information retrieval;machine learning;Natural Language Processing (NLP);natural languages;neural networks;pattern recognition;signal processing