GaussianMix: Rethinking Receptive Field for Efficient Data Augmentation by A. F. M. Shahab Uddin, Maryam Qamar, Jueun Mun, Yuje Lee, Sung-Ho Bae

Subjects: “…data augmentation…”
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Development of Digital NDT Methodology: Data Augmentation for Automated Fluorescent Penetrant Inspection of Aircraft Engine Blades by Milan T. Bril, Daniel Friesen, Konstantinos Stamoulis

Subjects: “…data augmentation…”
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Generating graph perturbations to enhance the generalization of GNNs by Sofiane Ennadir, Giannis Nikolentzos, Michalis Vazirgiannis, Henrik Boström

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Examining Sentiment Analysis for Low-Resource Languages with Data Augmentation Techniques by Gaurish Thakkar, Nives Mikelić Preradović, Marko Tadić

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Leveraging Artificial Occluded Samples for Data Augmentation in Human Activity Recognition by Eirini Mathe, Ioannis Vernikos, Evaggelos Spyrou, Phivos Mylonas

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AI‐Based Digital Rocks Augmentation and Assessment Metrics by Lei Liu, Bernard Chang, Maša Prodanović, Michael J. Pyrcz

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Synthetic Sentiment Cue Enhanced Graph Relation-Attention Network for Aspect-Level Sentiment Analysis by Hongwei Tang, Haining Yan, Ran Song

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Regularization for Unconditional Image Diffusion Models via Shifted Data Augmentation by Kensuke Nakamura, Bong-Soo Sohn, Simon Korman, Byung-Woo Hong

Subjects: “…Data augmentation…”
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Improved model for intrusion detection in the Internet of Things by Marina S. Amine, Fayza A. Nada, Khalid M. Hosny

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Enhancing Domain Generalization Performance in Low-Resource Setting via External Dataset and Pseudo Labeling With Sentence-BERT by Junho Lee, Seunguk Yu, Jinhee Jang, Keunhyeung Park, Youngbin Kim

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Generative Adversarial learning with Negative Data Augmentation for Semi-supervised Text Classification by Shahriar Shayesteh, Diana Inkpen

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BSDA: Bayesian Random Semantic Data Augmentation for Medical Image Classification by Yaoyao Zhu, Xiuding Cai, Xueyao Wang, Xiaoqing Chen, Zhongliang Fu, Yu Yao

Subjects: “…semantic data augmentation…”
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Identification of maize leaf diseases using red, green, blue-based images with convolutional neural network (CNN) and residual network (ResNet50) models by Basani Lammy Nkuna, Khaled Abutaleb, Johannes George Chirima, Solomon W. Newete, Adriaan Johannes van der Walt, Adolph Nyamugama

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DAugSindhi: a data augmentation approach for enhancing Sindhi language text classification by Raja Vavekanand, Bhagwan Das, Teerath Kumar

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Skin Disease Classification Using Deep Learning Techniques by Ramani Gaddam, Deepika D., Sanjana Rakonda, Nipun Lingadally, Ravuri Phani Pradhyumna, Ashraf Shaik

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Boosting Crowdsourced Annotation Accuracy: Small Loss Filtering and Augmentation-Driven Training by Yanming Fu, Weigeng Han, Jingsang Yang, Haodong Lu, Xin Yu

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Data augmentation for numerical data from manufacturing processes: an overview of techniques and assessment of when which techniques work by Henry Ekwaro-Osire, Sai Lalitha Ponugupati, Abdullah Al Noman, Dennis Bode, Klaus-Dieter Thoben

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Analyzing the Impact of Data Augmentation on the Explainability of Deep Learning-Based Medical Image Classification by Xinyu (Freddie) Liu, Gizem Karagoz, Nirvana Meratnia

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A Comprehensive Analysis of Data Augmentation Methods for Speech Emotion Recognition by Umut Avci

Subjects: “…Data augmentation…”
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Enhancing Far-Field Speech Recognition with Mixer: A Novel Data Augmentation Approach by Tong Niu, Yaqi Chen, Dan Qu, Hengbo Hu

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