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ICT Innovations 2019. Big Data Processing and Mining, 1st ed. 2019 11th International Conference, ICT Innovations 2019, Ohrid, North Macedonia, October 17-19, 2019, Proceedings Communications in Computer and Information Science Series, Vol. 1110

Langue : Anglais

Coordonnateurs : Gievska Sonja, Madjarov Gjorgji

Couverture de l’ouvrage ICT Innovations 2019. Big Data Processing and Mining
This book constitutes the refereed proceedings of the 11th International ICT Innovations Conference, ICT Innovations 2019, held in Ohrid, Macedonia, in October 2019.

The 18 full papers presented were carefully reviewed and selected from 75 submissions. They cover the following topics: sensor applications and deployments, embedded and cyber-physical systems, robotics, network architectures, cloud computing, software infrastructure, software creation and management, models of computation, computational complexity and cryptography, design and analysis of algorithms, mathematical optimization, probability and statistics, data management systems, data mining, human computer interaction (HCI), artificial intelligence, machine learning, life and medical sciences, health care information systems, bioinformatics.

Automatic Text Generation in Macedonian using Recurrent Neural Networks.- Detection of toy soldiers taken from a bird’s perspective using convolutional neural networks.- Multidimensional sensor data prediction.- Improvement of the Binary Varshamov Bound.- Electrical Energy Consumption Prediction using Machine Learning.- Diatom Ecological Modelling with Weighted Pattern Tree Algorithm
by Using Polygonal and Gaussian Membership Functions.- A Study of Different Models for Subreddit Recommendation Based on User-Community Interaction.- Application of hierarchical Bayesian model in ophtalmological study.- Friendship paradox and hashtag embedding in the Instagram social network.- An In-depth Analysis of Personality Prediction.- Ski injury predictions with explanations.- Performance Evaluation of Word and Sentence Embeddings for Finance Headlines Sentiment Analysis.- A hybrid model for financial portfolio optimization based on LS-SVM and a clustering algorithm.- Protein Secondary Structure Graphs as Predictors for Protein Function.- Exploring the Attention Mechanism in Deep Models: A Case Study on Sentiment Analysis.- Image Augmentation with Neural Style Transfer.

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