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Daniel Rugeles

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2020 – today

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2023
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  - journals/corr/abs-2301-12974
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Daniel Rugeles, Zhen Hai, Juan Felipe Carmona, Manoranjan Dash, Gao Cong:
Improving the Inference of Topic Models via Infinite Latent State Replications. CoRR abs/2301.12974 (2023)
2022
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Daniel Rugeles, Zhen Hai, Manoranjan Dash, Gao Cong:
Deterministic Inference of Topic Models via Maximal Latent State Replication. IEEE Trans. Knowl. Data Eng. 34(4): 1684-1695 (2022)
2020
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Daniel Rugeles:
A study on dual topic models and bayesian topic model inference. Nanyang Technological University, Singapore, 2020

2010 – 2019

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2018
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Daniel Rugeles, Zhen Hai, Gao Cong, Manoranjan Dash:
Heron Inference for Bayesian Graphical Models. CoRR abs/1802.06526 (2018)
2017
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Daniel Rugeles, Kaiqi Zhao, Gao Cong, Manoranjan Dash, Shonali Krishnaswamy:
Biclustering: An application of Dual Topic Models. SDM 2017: 453-461
2015
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  - conf/percom/DashKGKRN15
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Manoranjan Dash, Kee Kiat Koo, João Bártolo Gomes, Shonali Priyadarsini Krishnaswamy, Daniel Rugeles, Amy Shi Nash:
Next place prediction by understanding mobility patterns. PerCom Workshops 2015: 469-474

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