Titlebook: Computational Science – ICCS 2022; 22nd International C Derek Groen,Clélia de Mulatier,Peter M. A. Sloot Conference proceedings 2022 The Ed

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书目名称Computational Science – ICCS 2022影响因子(影响力)




书目名称Computational Science – ICCS 2022影响因子(影响力)学科排名




书目名称Computational Science – ICCS 2022网络公开度




书目名称Computational Science – ICCS 2022网络公开度学科排名




书目名称Computational Science – ICCS 2022被引频次




书目名称Computational Science – ICCS 2022被引频次学科排名




书目名称Computational Science – ICCS 2022年度引用




书目名称Computational Science – ICCS 2022年度引用学科排名




书目名称Computational Science – ICCS 2022读者反馈




书目名称Computational Science – ICCS 2022读者反馈学科排名

Postulate

Compiling Linear Algebra Expressions into Efficient Codeated into efficient code, since optimized linear algebra libraries and frameworks require expressions in index-free form. To address this problem, we developed ., a tool that automatically converts linear algebra expressions with indices into index-free linear algebra expressions that we map efficie

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harbinger

Devulgarization of Polish Texts Using Pre-trained Language Modelseaning of the text. We fine-tune three pre-trained language models on a newly created parallel corpus of vulgar/non-vulgar sentence pairs, then we evaluate style transfer accuracy, content preservation and language quality. To the best of our knowledge, the proposed solution is the first of its kind

高射炮

Data-Driven Discovery of Time Fractional Differential Equationshat is, learning differential equations/fractional differential equations via data. In [.], Schaeffer proposed a machine learning algorithm to learn the differential equation via data discovery. We extend Schaeffer’s work in the case of time fractional differential equations and propose an algorithm

VEIL

Wide Ensembles of Neural Networks in Music Genre Classificationjob manually. That is why there is a need to create robust and efficient methods that automatically help to do this task. In this paper, music genre recognition is implemented by exploiting the potential of wide ensembles of neural network classifiers. Creating infrequently used types of ensembles i

VEIL

Particle Swarm Optimization Configures the Route Minimization Algorithmristics to tackle this task, they are often heavily parameterized, and improperly tuned hyper-parameters adversely affect their performance. We exploit particle swarm optimization to select the pivotal hyper-parameters of a route minimization algorithm applied to the pickup and delivery problem with

Occipital-Lobe

Practical Aspects of Zero-Shot Learning. However, since none of them seems to be an “overall winner”, development of a meta-classifier(s) combining “best aspects” of individual classifiers can be attempted. In this context, state-of-the-art zero-shot learning methods are compared for standard benchmark datasets. Next, multiple meta-class

infatuation

碎石头

Analyzing the Usefulness of Public Web Camera Video Sequences for Calibrating and Validating Pedestrternative to using data obtained in such a way is using data from public web cameras. The article presents a case study of using public web cameras in the analysis of pedestrian dynamics and social behavior. We have applied YOLOv3 object detector trained on the COCO dataset in order to identify obje