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A unified framework for automatic wound segmentation and analysis with deep convolutional neural networks.

, , , , , , , and . EMBC, page 2415-2418. IEEE, (2015)

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Online Incremental Feature Learning with Denoising Autoencoders., , and . AISTATS, volume 22 of JMLR Proceedings, page 1453-1461. JMLR.org, (2012)Spam Deobfuscation using a Hidden Markov Model., and . CEAS, (2005)Hierarchical Long-term Video Prediction without Supervision., , , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 6033-6041. PMLR, (2018)Contingency-Aware Exploration in Reinforcement Learning., , , , , , and . ICLR (Poster), OpenReview.net, (2019)Deep learning for detecting robotic grasps., , and . Int. J. Robotics Res., 34 (4-5): 705-724 (2015)Variational Empowerment as Representation Learning for Goal-Based Reinforcement Learning., , , , and . CoRR, (2021)A Classification-Based Polyphonic Piano Transcription Approach Using Learned Feature Representations., , , and . ISMIR, page 175-180. University of Miami, (2011)Unsupervised feature learning via sparse hierarchical representations.. Stanford University, USA, (2010)Fast inference and transfer of compositional task structures for few-shot task generalization., , , , , , and . UAI, volume 180 of Proceedings of Machine Learning Research, page 1857-1865. PMLR, (2022)Dependency Sensitive Convolutional Neural Networks for Modeling Sentences and Documents., , and . HLT-NAACL, page 1512-1521. The Association for Computational Linguistics, (2016)