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Neuroimaging Based Survival Time Prediction of GBM Patients Using CNNs from Small Data., , , , и . SMC, стр. 1331-1335. IEEE, (2019)Simulating Temporal User Activity on Social Networks with Sequence to Sequence Neural Models., , и . SMC, стр. 1677-1684. IEEE, (2020)Recovery of continuous 3D refractive index maps from discrete intensity-only measurements using neural fields., , , , и . Nat. Mac. Intell., 4 (9): 781-791 (сентября 2022)Synthetic minority image over-sampling technique: How to improve AUC for glioblastoma patient survival prediction., , , , , и . SMC, стр. 1357-1362. IEEE, (2017)Mentions of Security Vulnerabilities on Reddit, Twitter and GitHub., , , , , и . WI, стр. 200-207. ACM, (2019)Fine-tuning convolutional deep features for MRI based brain tumor classification., , , , и . Medical Imaging: Computer-Aided Diagnosis, том 10134 из SPIE Proceedings, стр. 101342E. SPIE, (2017)Deep Learning Predictive Modeling with Data Challenges (Small, Big, or Imbalanced).. University of South Florida, Tampa, USA, (2020)base-search.net(ftunisfloridatam:oai:digitalcommons.usf.edu:etd-10227).Exploring deep features from brain tumor magnetic resonance images via transfer learning., , , , , и . IJCNN, стр. 235-242. IEEE, (2016)Zero-Shot Learning of Continuous 3D Refractive Index Maps from Discrete Intensity-Only Measurements., , , , и . CoRR, (2021)Predicting Longitudinal User Activity at Fine Time Granularity in Online Collaborative Platforms., , , , , и . SMC, стр. 2535-2542. IEEE, (2019)