Wolfgang Jank - researchr alias

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Viewing Publication 1 - 28 from 28

2024

A functional Hidden Markov Model to incorporate dynamics into Bayesian optimal stopping problems: Helping physicians manage traumatic brain injuriesGleb Zavadskiy, Daniel Zantedeschi, Wolfgang Jank. dss, 177:114078, February 2024. [doi]

2021

Machine Learning for Automated Industrial IoT Attack Detection: An Efficiency-Complexity Trade-offSaurav Chakraborty, Agnieszka Onuchowska, Sagar Samtani, Wolfgang Jank, Brandon Wolfram. tmis, 12(4), 2021. [doi]

A Bayesian Optimal Stopping Framework for Traumatic Brain Injuries PatientsGleb Zavadskiy, Daniel Zantedeschi, Wolfgang Jank. icis 2021: [doi]

2018

Talk your way to serial success: Creator post-campaign interaction in crowdfundingOnochie Fan-Osuala, Daniel Zantedeschi, Wolfgang Jank. amcis 2018: [doi]

Detection and Classification of Attacks on IoT NetworksAgnieszka Onuchowska, Saurav Chakraborty, Wolfgang Jank, Utkarsh Shrivastava. amcis 2018: [doi]

2015

Sales Force Behavior, Pricing Information, and Pricing DecisionsWedad Elmaghraby, Wolfgang Jank, Shu Zhang, Itir Z. Karaesmen. msom, 17(4):495-510, 2015. [doi]

A data driven framework for early prediction of customer response to promotionsWolfgang Jank, Utkarsh Shrivastava. amcis 2015: [doi]

Getting the most out of third party trust seals: An empirical analysisKoray Özpolat, Wolfgang Jank. dss, 73:47-56, 2015. [doi]

2013

Switching behavior in online auctions: Empirical observations and predictive implicationsWei Guo, William Rand, Wolfgang Jank. wsc 2013: 1395-1406 [doi]

Research Note - The Value of Third-Party Assurance Seals in Online Retailing: An Empirical InvestigationKoray Özpolat, Guodong (Gordon) Gao, Wolfgang Jank, Siva Viswanathan. isr, 24(4):1100-1111, 2013. [doi]

2011

Estimating functional agent-based models: an application to bid shading in online markets formatWei Guo, Wolfgang Jank, William Rand. gecco 2011: 559-566 [doi]

An Automated and Data-Driven Bidding Strategy for Online AuctionsWolfgang Jank, Shu Zhang. informs, 23(2):238-253, 2011. [doi]

2010

Dynamic Price Forecasting in Simultaneous Online Art AuctionsMayukh Dass, Wolfgang Jank, Galit Shmueli. In Jorge Casillas, Francisco J. Martínez-López, editors, Marketing Intelligent Systems Using Soft Computing - Managerial and Research Applications. Volume 258 of Studies in Fuzziness and Soft Computing, pages 417-445, Springer, 2010. [doi]

Research Note - Prerelease Demand Forecasting for Motion Pictures Using Functional Shape Analysis of Virtual Stock MarketsNatasha Zhang Foutz, Wolfgang Jank. mktsci, 29(3):568-579, 2010. [doi]

Forecasting Online Auctions using Dynamic ModelsWolfgang Jank, Galit Shmueli. In Carlos Soares, Rayid Ghani, editors, Data Mining for Business Applications. Volume 218 of Frontiers in Artificial Intelligence and Applications, pages 137-148, IOS Press, 2010. [doi]

2009

New global optimization algorithms for model-based clusteringJeffrey W. Heath, Michael C. Fu, Wolfgang Jank. csda, 53(12):3999-4017, 2009. [doi]

2008

Consumer Surplus in Online AuctionsRavi Bapna, Wolfgang Jank, Galit Shmueli. isr, 19(4):400-416, 2008. [doi]

Price formation and its dynamics in online auctionsRavi Bapna, Wolfgang Jank, Galit Shmueli. dss, 44(3):641-656, 2008. [doi]

Bidder Migration and Its Price Effects on AuctionsMingfeng Lin, Wolfgang Jank. amcis 2008: 210 [doi]

Transformations for semi-continuous dataGalit Shmueli, Wolfgang Jank, Valerie Hyde. csda, 52(8):4000-4020, 2008. [doi]

2007

Similarity-Based Forecasting with Simultaneous Previews: A River Plot Interface for Time Series ForecastingPaolo Buono, Catherine Plaisant, Adalberto Lafcadio Simeone, Aleks Aris, Galit Shmueli, Wolfgang Jank. IV 2007: 191-196 [doi]

A family of growth models for representing the price process in online auctionsValerie Hyde, Wolfgang Jank, Galit Shmueli. ACMicec 2007: 399-408 [doi]

2006

2005

Representing Unevenly-Spaced Time Series Data for Visualization and Interactive ExplorationAleks Aris, Ben Shneiderman, Catherine Plaisant, Galit Shmueli, Wolfgang Jank. ACMdis 2005: 835-846 [doi]

Quasi-Monte Carlo sampling to improve the efficiency of Monte Carlo EMWolfgang Jank. csda, 48(4):685-701, 2005. [doi]

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