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An Embedding Model for Estimating Legislative Preferences from the Frequency and Sentiment of Tweets.

, , , и . EMNLP (1), стр. 627-641. Association for Computational Linguistics, (2020)

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Patrick Spell

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Другие публикации лиц с тем же именем

Tensor-Dictionary Learning with Deep Kruskal-Factor Analysis., , , , и . AISTATS, том 54 из Proceedings of Machine Learning Research, стр. 121-129. PMLR, (2017)An Embedding Model for Estimating Legislative Preferences from the Frequency and Sentiment of Tweets., , , и . EMNLP (1), стр. 627-641. Association for Computational Linguistics, (2020)Algorithms for tracking with a foveal sensor., и . ACSSC, стр. 1563-1565. IEEE, (2015)Deep Overcomplete Tensor Rank-Decompositions., , , , и . CoRR, (2016)Deep Learning for Applications in Inverse Modeling, Legislator Analysis, and Computer Vision for Security.. Duke University, Durham, NC, USA, (2023)base-search.net (ftdukeunivdsp:oai:localhost:10161/27647).Background Adaptive Faster R-CNN for Semi-Supervised Convolutional Object Detection of Threats in X-Ray Images., , , и . CoRR, (2020)Mixture Manifold Networks: A Computationally Efficient Baseline for Inverse Modeling., , , и . CoRR, (2022)Mixture Manifold Networks: A Computationally Efficient Baseline for Inverse Modeling., , , и . AAAI, стр. 9874-9881. AAAI Press, (2023)FLOP: Federated Learning on Medical Datasets using Partial Networks., , , , и . KDD, стр. 3845-3853. ACM, (2021)Application of Compositional Neural Networks for Robust Classification of Infrared Imagery., , и . IGARSS, стр. 2799-2802. IEEE, (2021)