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Author

S. Rustad

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Performance Evaluation of Text Embedding Models for Ambiguity Classification in Indonesian News Corpus: A Comparative Study of TF-IDF, Word2Vec, FastText BERT, and GPT

Comparisons of the performance of five text embedding models TF-IDF, Word2Vec, FastText, BERT, and GPT combined with five binary classification algorithms highlight the critical role of selecting appropriate embedding and classification models to enhance accuracy in semantically ambiguous sentence classification for th...

Sutriawan, S. Rustad, G. F. Shidik et al. · 8 citations
Open access Aug 2026

Channel-spatial dual-attention for plant disease detection: CBAM-ECA integrated CNN models with visual explainability

A redundancy-aware dual-attention architecture, termed ATSA-DenseNet, is proposed, which integrates the spatial branch of the Convolutional Block Attention Module (CBAM-Spatial) with Efficient Channel Attention within a DenseNet121 backbone.

A. Anton, S. Rustad, G. F. Shidik et al. · 0 citations

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