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Systematic Literature Review on Statistics and Machine Learning Predictive Models for Rice Phenotypes., , и . ICCSCI, том 227 из Procedia Computer Science, стр. 1054-1061. Elsevier, (2023)On the Measurement of the Inductive Bias Impact in Convolutional Neural Networks Training for Single Image Super-Resolution., , , и . ICCSCI, том 227 из Procedia Computer Science, стр. 1086-1092. Elsevier, (2023)NusaWrites: Constructing High-Quality Corpora for Underrepresented and Extremely Low-Resource Languages., , , , , , , , , и 8 other автор(ы). IJCNLP (1), стр. 921-945. Association for Computational Linguistics, (2023)Features Importance in Classification Models for Colorectal Cancer Cases Phenotype in Indonesia., , , , , и . ICCSCI, том 157 из Procedia Computer Science, стр. 313-320. Elsevier, (2019)Standard Multi-Layer Perceptron on Positive - Unlabeled Glycosylation Site Dataset., , , и . ICCSCI, том 227 из Procedia Computer Science, стр. 833-839. Elsevier, (2023)Lightweight Pedestrian Detection through Guided Filtering and Deep Learning., , , , , , и . GCCE, стр. 629-630. IEEE, (2021)Deep Learning for Imbalance Data Classification using Class Expert Generative Adversarial Network., и . ICCSCI, том 135 из Procedia Computer Science, стр. 60-67. Elsevier, (2018)Cendol: Open Instruction-tuned Generative Large Language Models for Indonesian Languages., , , , , , , , , и 6 other автор(ы). CoRR, (2024)Multivariate Time-Series Deep Learning for Joint Prediction of Temperature and Relative Humidity in a Closed Space., , , , , , , , , и . ICCSCI, том 227 из Procedia Computer Science, стр. 1046-1053. Elsevier, (2023)Moving Pedestrian Localization and Detection With Guided Filtering., , , , , , , и . IEEE Access, (2022)