Titlebook: Intelligent Data Engineering and Automated Learning – IDEAL 2021; 22nd International C Hujun Yin,David Camacho,Susana Nascimento Conference

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亞當(dāng)心理陰影

FLIP

Combining Encoplot and NLP Based Deep Learning for Plagiarism Detectionate whether transformer models may be used along with existing solutions for plagiarism detection, such as . and clustering, to improve their results. Experimental results show that transformers represent a good solution for capturing the semantics of texts when dealing with plagiarism. Further effi

Constant

Drift Detection in Text Data with Document Embeddingsated infrequently, leading to performance degradation over time. While approaches for automatic drift detection have been proposed, they were often designed for low-dimensional sensor data, and it is unclear how well they perform for state-of-the-art text classifiers based on high-dimensional docume

Cupidity

dyspareunia

Multi Language Application of Previously Developed Transcripts Classifieripeline that classified Spanish educational video transcripts from Universitat Politècnica de València (UPV) to process English video transcripts from TedTalks. Performed adaptation and experimental results were performed also in educational context as in the initial study. We found that the process

BARB

A Complexity Measure for Binary Classification Problems Based on Lost Pointss obtained by applying .-means in a recursive and hierarchical way and it provides both the data set and the instance perspective. On the instance level, the . measure gives a probability value for each point informing about the dominance of its class in its neighborhood. On the data set level, it e

令人發(fā)膩

恃強(qiáng)凌弱

scrutiny