Genome‐Wide Association Meta‐Analysis Reveals Novel Juvenile Idiopathic Arthritis Susceptibility Loci
McIntosh, Laura A., Marion, Miranda C., Sudman, Marc, Comeau, Mary E., Becker, Mara L., Bohnsack, John F., Fingerlin, Tasha E., Griffin, Thomas A., Haas, J. Peter, Lovell, Daniel J., Maier, Lisa A., Nigrovic, Peter A., Prahalad, Sampath, Punaro, Marilynn, Rosé, Carlos D., Wallace, Carol A., Wise, Carol A., Moncrieffe, Halima, Howard, Timothy D., Langefeld, Carl D., Thompson, Susan D.
Published in Arthritis & rheumatology (Hoboken, N.J.) (01.11.2017)
Published in Arthritis & rheumatology (Hoboken, N.J.) (01.11.2017)
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Journal Article
A new mixed agent-based network and compartmental simulation framework for joint modeling of related infectious diseases- application to sexually transmitted infections
Gopalappa, Chaitra, Balasubramanian, Hari, Haas, Peter J.
Published in Infectious disease modelling (01.03.2023)
Published in Infectious disease modelling (01.03.2023)
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Journal Article
Compressed linear algebra for large-scale machine learning
Elgohary, Ahmed, Boehm, Matthias, Haas, Peter J., Reiss, Frederick R., Reinwald, Berthold
Published in The VLDB journal (01.10.2018)
Published in The VLDB journal (01.10.2018)
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Journal Article
Enhanced Simulation Metamodeling via Graph and Generative Neural Networks
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Conference Proceeding
Literature-based automated discovery of tumor suppressor p53 phosphorylation and inhibition by NEK2
Choi, Byung-Kwon, Dayaram, Tajhal, Parikh, Neha, Wilkins, Angela D., Nagarajan, Meena, Novikov, Ilya B., Bachman, Benjamin J., Jung, Sung Yun, Haas, Peter J., Labrie, Jacques L., Pickering, Curtis R., Adikesavan, Anbu K., Regenbogen, Sam, Kato, Linda, Lelescu, Ana, Buchovecky, Christie M., Zhang, Houyin, Bao, Sheng Hua, Boyer, Stephen, Weber, Griff, Scott, Kenneth L., Chen, Ying, Spangler, Scott, Donehower, Lawrence A., Lichtarge, Olivier
Published in Proceedings of the National Academy of Sciences - PNAS (16.10.2018)
Published in Proceedings of the National Academy of Sciences - PNAS (16.10.2018)
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Journal Article
NIM: Modeling and Generation of Simulation Inputs Via Generative Neural Networks
Cen, Wang, Herbert, Emily A., Haas, Peter J.
Published in 2020 Winter Simulation Conference (WSC) (14.12.2020)
Published in 2020 Winter Simulation Conference (WSC) (14.12.2020)
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Conference Proceeding
Watermarking relational data: framework, algorithms and analysis
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Conference Proceeding
Journal Article
Maintaining bounded-size sample synopses of evolving datasets
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Journal Article
Conference Proceeding
Interactive data analysis: the Control project
Hellerstein, J.M., Avnur, R., Chou, A., Hidber, C., Olston, C., Raman, V., Roth, T., Haas, P.J.
Published in Computer (Long Beach, Calif.) (01.08.1999)
Published in Computer (Long Beach, Calif.) (01.08.1999)
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Journal Article
Panel: Are we effectively preparing our students to be certified analytics professionals?
Cheng, Russell C. H., Robinson, Stewart, Haas, Peter J., Schruben, Lee, Roeder, Theresa M.
Published in 2013 Winter Simulations Conference (WSC) (01.12.2013)
Published in 2013 Winter Simulations Conference (WSC) (01.12.2013)
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Conference Proceeding
Exact PPS sampling with bounded sample size
Hentschel, Brian, Haas, Peter J., Tian, Yuanyuan
Published in Information processing letters (01.08.2023)
Published in Information processing letters (01.08.2023)
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Journal Article
Estimating the Number of Classes in a Finite Population
Haas, Peter J., Stokes, Lynne
Published in Journal of the American Statistical Association (01.12.1998)
Published in Journal of the American Statistical Association (01.12.1998)
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Journal Article
Integrating a maximum-entropy cardinality estimator into DB2 UDB
PUTSCH, Marcel, HAAS, Peter J, MARKL, Volker, MEGIDDO, Nimrod, TAM MINH TRAN
Published in Lecture notes in computer science (2006)
Published in Lecture notes in computer science (2006)
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Conference Proceeding