Titlebook: Databases and Information Systems; 14th International B Tarmo Robal,Hele-Mai Haav,Raimundas Matulevi?ius Conference proceedings 2020 Spring

馬籠頭

Features and Methods for Automatic Posting Account Classification) can help to minimise human errors. In this paper, we investigate methods for the automation of one of the processes involved in invoice posting – the assignment of account codes to posting entries – using various classification methods. We show that machine learning-based methods can reach a preci

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alleviate

Review of Non-English Corpora Annotated for Emotion Classification in Textth the goal to find what approaches could be used for low-resource languages with close to no existing works in the field. We analyze the corresponding volume, emotion classification schema, language of each corresponding corpus and methods employed for data preparation and annotation automation. We

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Simultaneous Road Edge and Road Surface Markings Detection Using Convolutional Neural Networkseployment (e.g. lane detection) in general. This research proposes an original neural network based method that combines structural components of autoencoders, residual neural networks and densely connected neural networks. The resulting neural network is able to concurrently detect and segment accu

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細菌等

Harass

Using Machine Learning for Automated Assessment of Misclassification of Goods for Fraud Detectionoduce a hybrid approach to Harmonized System (HS) code assessment that combines the knowledge derived from textual descriptions of products, assigned to them HS codes and taxonomy of HS codes nomenclature. We use machine learning for providing HS code’s predictions and recommendations on the basis o

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obeisance