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Titlebook: Applied Computer Sciences in Engineering; 8th Workshop on Engi Juan Carlos Figueroa-García,Yesid Díaz-Gutierrez,A Conference proceedings 20

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發(fā)表于 2025-3-30 12:09:38 | 只看該作者
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發(fā)表于 2025-3-30 13:48:47 | 只看該作者
Can Communication Topology Improve a Multi-swarm PSO Algorithms? swarms. The proposed policies are chain and hypercube topologies and compare them against a simple cross-over strategy using several continuous optimization benchmark functions to assess the benefits of choosing one communication topology over another. After the experiments, the chain-based topolog
53#
發(fā)表于 2025-3-30 16:48:25 | 只看該作者
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發(fā)表于 2025-3-31 00:32:29 | 只看該作者
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發(fā)表于 2025-3-31 03:59:15 | 只看該作者
Organizational Online Reputation Measurement Through Natural Language Processing and Sentiment AnalyThese drawbacks can be mitigated by automating the measurement of a client’s online reputation. This paper contains the development of three methodologies from the literature to explore online reputation measurement starting from Twitter and Google News information sources. The implementation result
56#
發(fā)表于 2025-3-31 05:56:26 | 只看該作者
Robust Automatic Speech Recognition for Call Center Applicationsed considering a total of 478,6?h of recordings collected in a real call-center. Each recording has its respective transcription and three perceptual labels about the level of noise present during the phone-call: Low level of noise (LN), Medium Level of noise (ML), and High Level of noise (HN). The
57#
發(fā)表于 2025-3-31 12:36:09 | 只看該作者
Heterogeneous Acoustic Features Space for Automatic Classification of Drone Audio Signalsechniques, the most relevant acoustic features are identified and they are used to train machine learning algorithms. Our results show that, the heterogeneous features space yields high performance in automatic UAV classification tasks of binary and multiclass type. The classification results outper
58#
發(fā)表于 2025-3-31 16:55:14 | 只看該作者
Evaluation of Different Word Embeddings to Create Personality Models in Spanishdict the labels of the five traits in the OCEAN model. The results show that 3 out of the five traits can be predicted with high reliability. Additionally, embeddings created with transformer-based models (i.e., BERT and BETO) yield the highest accuracies.
59#
發(fā)表于 2025-3-31 21:02:06 | 只看該作者
60#
發(fā)表于 2025-3-31 22:13:06 | 只看該作者
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