Titlebook: Recent Trends in Analysis of Images, Social Networks and Texts; 9th International Co Wil M. P. van der Aalst,Vladimir Batagelj,Elena Tu Con

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Detecting Automatically Managed Accounts in Online Social Networks: Graph Embeddings Approachiciency of network structure based methods for detecting sophisticated bot accounts. Experiments show that our approach can achieve competitive performance compared with existing state-of-the-art bot detection systems with only network-driven features.

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Did You Just Assume My Vector? Detecting Gender Stereotypes in Word Embeddingsf gender stereotype detection. We evaluate various word embeddings models with these methods and conclude that the amount of bias does not depend on the corpora size and training algorithm, and does not correlate with embeddings performance on the standard evaluation benchmarks.

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Federated Learning in Named Entity Recognitioncted for them. Influence of use of pretrained embedding, use of various blocks of architecture on training and quality of final model is considered. Besides, other important questions arising in practice are considered and solved, for example, creation of distributed private dictionaries, selection of base model for federated learning.

Flagging

A Novel Approach to Measurement of the Transverse Velocity of the Large-Scale Objectshods based on monocular vision, this approach solves the problem of dependence of object speed on distance. The proposed algorithm is part of a system for non-contact measurement of large-sized objects and has a calculated measurement error that does not exceed 1.5% of the measured speed up to 30 km/h while having low computational complexity.

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glans-penis

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CLAY