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Detecting Malware Based on Dynamic Analysis Techniques Using Deep Graph Learning.

, , , , and . FDSE, volume 12466 of Lecture Notes in Computer Science, page 357-378. Springer, (2020)

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Automated Large Program Repair based on Big Code., , and . SoICT, page 375-381. ACM, (2018)Semi-supervised multitask learning using convolutional autoencoder for faulty code detection with limited data., , and . Appl. Intell., 53 (4): 3877-3888 (February 2023)ALQAC 2022: A Summary of the Competition., , , , , , , , , and 9 other author(s). KSE, page 1-5. IEEE, (2022)Deep learning and sub-tree mining for document level sentiment classification., , and . KSE, page 268-273. IEEE, (2016)IoT Malware Detection based on Latent Representation., , , and . KSE, page 177-182. IEEE, (2020)Convolutional Neural Networks over Control Flow Graphs for Software Defect Prediction., , and . ICTAI, page 45-52. IEEE Computer Society, (2017)Transfer Learning for Predicting Software Faults., , and . KSE, page 1-6. IEEE, (2019)Comparison of Three Deep Learning-based Approaches for IoT Malware Detection., , , , , and . KSE, page 382-388. IEEE, (2018)A Summary of the ALQAC 2021 Competition., , , , , , , , , and 6 other author(s). KSE, page 1-5. IEEE, (2021)Towards An Accurate and Effective Printed Document Reader for Visually Impaired People., , , , , and . KSE, page 1-5. IEEE, (2022)