Towards a Systematic Combination of Dimension Reduction and Clustering in Visual Analytics von Wenskovitch, John, Crandell, Ian, Ramakrishnan, Naren, House, Leanna, Leman, Scotland, North, Chris

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Using sensitivity analyses to understand bistable system behavior von Sreedharan, Vandana, Bhalla, Upinder S, Ramakrishnan, Naren

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Collaborative efforts to forecast seasonal influenza in the United States, 2015–2016 von McGowan, Craig J., Biggerstaff , Matthew, Johansson, Michael, Apfeldorf, Karyn M., Ben-Nun, Michal, Brooks, Logan, Convertino, Matteo, Erraguntla, Madhav, Farrow, David C., Freeze, John, Ghosh, Saurav, Hyun, Sangwon, Kandula, Sasikiran, Lega, Joceline, Liu, Yang, Michaud, Nicholas, Morita, Haruka, Niemi, Jarad, Ramakrishnan, Naren, Ray, Evan L., Reich, Nicholas G., Riley, Pete, Shaman, Jeffrey, Tibshirani, Ryan, Vespignani, Alessandro, Zhang, Qian, Reed, Carrie

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A systematic review of studies on forecasting the dynamics of influenza outbreaks von Nsoesie, Elaine O., Brownstein, John S., Ramakrishnan, Naren, Marathe, Madhav V.

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The human is the loop: new directions for visual analytics von Endert, Alex, Hossain, M. Shahriar, Ramakrishnan, Naren, North, Chris, Fiaux, Patrick, Andrews, Christopher

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Forecasting Social Unrest Using Activity Cascades von Cadena, Jose, Korkmaz, Gizem, Kuhlman, Chris J, Marathe, Achla, Ramakrishnan, Naren, Vullikanti, Anil

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A framework for evaluating epidemic forecasts von Tabataba, Farzaneh Sadat, Chakraborty, Prithwish, Ramakrishnan, Naren, Venkatramanan, Srinivasan, Chen, Jiangzhuo, Lewis, Bryan, Marathe, Madhav

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TimberSleuth: Visual anomaly detection with human feedback for mitigating the illegal timber trade von Datta, Debanjan, Self, Nathan, Simeone, John, Meadows, Amelia, Outhwaite, Willow, Walker, Linda, Elmqvist, Niklas, Ramakrishnan, Naren

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Online flu epidemiological deep modeling on disease contact network von Zhao, Liang, Chen, Jiangzhuo, Chen, Feng, Jin, Fang, Wang, Wei, Lu, Chang-Tien, Ramakrishnan, Naren

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Unsupervised spatial event detection in targeted domains with applications to civil unrest modeling von Zhao, Liang, Chen, Feng, Dai, Jing, Hua, Ting, Lu, Chang-Tien, Ramakrishnan, Naren

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Results from the second year of a collaborative effort to forecast influenza seasons in the United States von Biggerstaff, Matthew, Johansson, Michael, Alper, David, Brooks, Logan C., Chakraborty, Prithwish, Farrow, David C., Hyun, Sangwon, Kandula, Sasikiran, McGowan, Craig, Ramakrishnan, Naren, Rosenfeld, Roni, Shaman, Jeffrey, Tibshirani, Rob, Tibshirani, Ryan J., Vespignani, Alessandro, Yang, Wan, Zhang, Qian, Reed, Carrie

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What to know before forecasting the flu von Chakraborty, Prithwish, Lewis, Bryan, Eubank, Stephen, Brownstein, John S, Marathe, Madhav, Ramakrishnan, Naren

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Describing the relationship between cat bites and human depression using data from an electronic health record von Hanauer, David A, Ramakrishnan, Naren, Seyfried, Lisa S

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Generating Realistic Synthetic Population Datasets von Wu, Hao, Ning, Yue, Chakraborty, Prithwish, Vreeken, Jilles, Tatti, Nikolaj, Ramakrishnan, Naren

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Data analysis and modeling pipelines for controlled networked social science experiments von Cedeno-Mieles, Vanessa, Hu, Zhihao, Ren, Yihui, Deng, Xinwei, Contractor, Noshir, Ekanayake, Saliya, Epstein, Joshua M, Goode, Brian J, Korkmaz, Gizem, Kuhlman, Chris J, Machi, Dustin, Macy, Michael, Marathe, Madhav V, Ramakrishnan, Naren, Saraf, Parang, Self, Nathan

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Advances in Knowledge Discovery and Data Mining: 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11-14, 2021, Proceedings, Part I von Karlapalem, Kamal, Cheng, Hong, Ramakrishnan, Naren, Agrawal, R. K, Reddy, P. Krishna, Srivastava, Jaideep, Chakraborty, Tanmoy

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Pricing a Protest: Forecasting the Dynamics of Civil Unrest Activity in Social Media von Goode, Brian J, Krishnan, Siddharth, Roan, Michael, Ramakrishnan, Naren

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Connecting the dots between PubMed abstracts von Hossain, M Shahriar, Gresock, Joseph, Edmonds, Yvette, Helm, Richard, Potts, Malcolm, Ramakrishnan, Naren

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Discovering excitatory relationships using dynamic Bayesian networks von Patnaik, Debprakash, Laxman, Srivatsan, Ramakrishnan, Naren

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Identifying geopolitical event precursors using attention-based LSTMs von Hossain, K. S. M. Tozammel, Harutyunyan, Hrayr, Ning, Yue, Kennedy, Brendan, Ramakrishnan, Naren, Galstyan, Aram

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