News for the Publication Category: ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

New! Graph Deep Factors for Forecasting with Applications to Cloud Resource Allocation

Hongjie Chen, Hoda Eldardiry
In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, (pp 106-116), 08/2021
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New! Physics-Guided AI for Large-Scale Spatiotemporal Data

Anuj Karpatne 
In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, (pp 4088–4089), 08/2021
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New! Workshop on Data-Efficient Machine Learning (DeMaL)

Chandan Reddy
In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, (pp 4135–4136), 08/2021
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New! EpiDeep: Exploiting Embeddings for Epidemic Forecasting

Bijaya Adhikari, Xinfeng Xu, Naren Ramakrishnan
In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, (pp 577–586), 07/2019
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New! GELL: Automatic Extraction of Epidemiological Line Lists from Open Sources

Saurav Ghosh, Prithwish Chakraborty, Bryan Lewis, John S. Brownstein, Madhav Marathe, Naren Ramakrishnan
In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, (pp 1477–1485), 08/2017
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Simultaneous Discovery of Common and Discriminative Topics via Joint Nonnegative Matrix Factorization

Chandan Reddy
In Proceedings of the ACM ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, (pp ), 08/2015
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A Multi-Task Learning Formulation for Survival Analysis

Chandan Reddy
In Proceedings of the ACM ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, (pp ), 08/2016
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Reconstructing an Epidemic Over Time

Jilles Vreeken
In Proceedings of the ACM ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, (pp ), 08/2016
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EMBERS at 4 years: Experiences operating an Open Source Indicators Forecasting System

Sathappan Muthiah, Patrick Butler, Rupinder Paul Khandpur, Parang Saraf, Nathan Self, Liang Zhao, Jose Cadena, Chang-Tien Lu, Anil Vullikanti, Achla Marathe, Kristen Summers, Graham Katz, Andy Doyle, Jaime Arredondo, Dipak Gupta, David Mares, Naren Ramakrishnan
In Proceedings of the ACM ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, (pp ), 08/2016
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Modeling Mass Protest Adoption in Social Network Communities using Geometric Brownian Motion.

Fang Jin, Rupinder Paul Khandpur, Nathan Self, Edward Dougherty, Sheng Guo, Feng Chen, Naren Ramakrishnan
In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, (pp 1660-1669), 08/2014
Citatations: BibTeX