Titlebook: Machine Learning and Metaheuristics Algorithms, and Applications; First Symposium, SoM Sabu M. Thampi,Ljiljana Trajkovic,Stefano Berretti C

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Conference proceedings 2020m 53 qualified submissions. The papers cover such topics as machine learning, artificial intelligence, Internet of Things, modeling and simulation, disctibuted computing methodologies, computer graphics, etc. .

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1865-0929 lected from 53 qualified submissions. The papers cover such topics as machine learning, artificial intelligence, Internet of Things, modeling and simulation, disctibuted computing methodologies, computer graphics, etc. .978-981-15-4300-5978-981-15-4301-2Series ISSN 1865-0929 Series E-ISSN 1865-0937

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Analyzing Architectures of Reservoir Computing Models Using Particle Swarm Intelligence,, we use a popular evolutionary technique named Particle Swarm Intelligence. The proposed method is inspired in Extreme Learning machines, where only a good selection of adjustable parameters is trained. Empirical analysis was made over well-known simulated time-series benchmarks and a real-world problems.

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Deep Temporal Analysis of Twitter Bots,and have identified the role of temporal activity in bot detection. The bidirectional LSTM network is used for studying the temporal patterns of Twitter bots and its behavioural pattern. The ability of the model to distinguish the tweeting rate and frequency of bot accounts from the genuine accounts has led to a good classification rate.