Advances in computational collective...
ICCCI (Conference) (2023 :)

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  • Advances in computational collective intelligence = 15th International Conference, ICCCI 2023, Budapest, Hungary, September 27-29, 2023 : proceedings /
  • 紀錄類型: 書目-電子資源 : Monograph/item
    正題名/作者: Advances in computational collective intelligence/ edited by Ngoc Thanh Nguyen ... [et al.].
    其他題名: 15th International Conference, ICCCI 2023, Budapest, Hungary, September 27-29, 2023 : proceedings /
    其他題名: ICCCI 2023
    其他作者: Nguyen, Ngoc Thanh.
    團體作者: ICCCI (Conference)
    出版者: Cham :Springer Nature Switzerland : : 2023.,
    面頁冊數: xxvi, 767 p. :ill., digital ;24 cm.
    內容註: 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.
    Contained By: Springer Nature eBook
    標題: Computational intelligence - Congresses. -
    電子資源: https://doi.org/10.1007/978-3-031-41774-0
    ISBN: 9783031417740
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