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Titlebook: Computational Collective Intelligence; 15th International C Ngoc Thanh Nguyen,János Botzheim,Adrianna Kozierki Conference proceedings 2023

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楼主: 乳钵
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A Convolutional Autoencoder Approach for Weakly Supervised Anomaly Video Detectionpically considered as a multiple instance learning problem, the training process aims to learn how to score both abnormal segments and normal segments, and the score of abnormal segments is higher than the score of normal segments. The features are extracted from videos before the training or testin
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Sparsity-Invariant Convolution for Forecasting Irregularly Sampled Time Seriesost of them were designed to work with regularly sampled and complete time series, i.e., time series which can be represented as a sequence of numbers . missing values. In contrast, we consider the task of forecasting . sampled time series in this paper. We argue that, compared with “usual” convolut
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Development of a Dictionary for Preschool Children with Weak Speech Skills Based on the Word2Vec Metrs and specialists has increased. To solve this problem, we can develop new technologies in the Kazakh language using natural language processing methods and machine learning. The article describes the system of creating a synonym Dictionary of the Kazakh language for preschool children with speech
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Hybrid Genetic Algorithms to Determine 2-Optimality Consensus for a Collective of Ordered Partitions-hard problem. In this study, first, we present a mathematical formula for determining such a collective. Then, three hybrid genetic algorithms are proposed to solve this problem. The simulation results show that the HG3 algorithm finds the best quality consensus in an acceptable time.
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Deep Reinforcement Learning for Jointly Resource Allocation and Trajectory Planning in UAV-Assisted channel link states. This study examines the use of Proximal Policy Optimization (PPO) to optimize the joint UAV position and radio spectrum resource allocation to meet the users’ quality-of-service (QoS) requirements.
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0302-9743 eld in Budapest, Hungary, during September 27–29, 2023..The 63 full papers included in this book were carefully reviewed and selected from 218 submissions. They are organized in topical sections as follows: collective intelligence and collective decision-making; deep learning techniques;  natural la
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