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Predicting Longitudinal User Activity at Fine Time Granularity in Online Collaborative Platforms.

, , , , , and . SMC, page 2535-2542. IEEE, (2019)

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Neuroimaging Based Survival Time Prediction of GBM Patients Using CNNs from Small Data., , , , and . SMC, page 1331-1335. IEEE, (2019)Zero-Shot Learning of Continuous 3D Refractive Index Maps from Discrete Intensity-Only Measurements., , , , and . CoRR, (2021)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., , , , , and . IJCNN, page 235-242. IEEE, (2016)Predicting Longitudinal User Activity at Fine Time Granularity in Online Collaborative Platforms., , , , , and . SMC, page 2535-2542. IEEE, (2019)Synthetic minority image over-sampling technique: How to improve AUC for glioblastoma patient survival prediction., , , , , and . SMC, page 1357-1362. IEEE, (2017)Mentions of Security Vulnerabilities on Reddit, Twitter and GitHub., , , , , and . WI, page 200-207. ACM, (2019)Fine-tuning convolutional deep features for MRI based brain tumor classification., , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10134 of SPIE Proceedings, page 101342E. SPIE, (2017)Recovery of continuous 3D refractive index maps from discrete intensity-only measurements using neural fields., , , , and . Nat. Mac. Intell., 4 (9): 781-791 (September 2022)Simulating Temporal User Activity on Social Networks with Sequence to Sequence Neural Models., , and . SMC, page 1677-1684. IEEE, (2020)