Titlebook: Computational Science and Its Applications – ICCSA 2020; 20th International C Osvaldo Gervasi,Beniamino Murgante,Yeliz Karaca Conference pr

压倒性胜利

photopsia

Anomaly Detection for Data Streams Based on Isolation Forest Using Scikit-Multiflowviding an additional tool. We performed experiments on 3 real-world data sets to evaluate predictive performance and resource consumption (memory and time) of IForestASD and compare it with a well known and state-of-the-art anomaly detection algorithm for data streams called Half-Space Trees.

foreign

A Dynamic Latent Variable Model for Monitoring the Santa Maria del Fiore Dome Behaviorducted. In this contribution, we aim at finding simplified structures (i.e., latent common factors or principal components) that summarize the measurements coming from the different instruments and explain the overall behavior of the Dome across the time. We found that the overall behavior of the Do

Antioxidant

Exploring Algorithmic Fairness in Deep Speaker Verificationtions. Experiments show that individuals belonging to certain demographic groups systematically experience higher error rates, highlighting the need of fairer speaker recognition models and, by extension, of proper evaluation frameworks.

ILEUM

DECiSION: Data-drivEn Customer Service InnovatiONral language about a specific reference domain, to support the decision-making process. The paper describes the general architecture of the framework and then focuses on the key component that automatically translate the natural language user query into a machine-readable query for the service repos

思考

Automated Machine Learning: Prospects and Challengeshuman learning. To this aim, we define some elementary inference operations and show how modern architectures can be built by a combination of those elementary methods. We analyze each method in different settings and find the best-suited application context for each learning algorithm. Furthermore,

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Finasteride

Dealing with Data Streams: Complex Event Processing vs. Data Stream MiningInternet of Things (IoT) are continuously producing massive amounts of data. Due to limited resources, it is no longer feasible to persistently store all that data which leads to massive data streams. In order to meet the requirements of modern businesses, techniques have been developed to deal with