Publications

Marek Herde, Denis Huseljic, und Bernhard Sick. Multi-annotator Deep Learning: A Probabilistic Framework for Classification. Transactions on Machine Learning Research, 2023. [PUMA: imported itegpub isac-www NoisyLabels DeepLearning Crowdsourcing] URL

Jasleen Kaur, Mohsen JafariAsbagh, Filippo Radicchi, und Filippo Menczer. Scholarometer: A System for Crowdsourcing Scholarly Impact Metrics. Proceedings of the 2014 ACM Conference on Web Science, 285--286, ACM, New York, NY, USA, 2014. [PUMA: citation crowdsourcing impact scholarometer tagging] URL

Robert Jäschke, und Sebastian Rudolph. Attribute Exploration on the Web. In Peggy Cellier, Felix Distel, und Bernhard Ganter (Hrsg.), Contributions to the 11th International Conference on Formal Concept Analysis, 19--34, Mai 2013. [PUMA: 2013 acquisition analysis attribute computing concept crowdsourcing data exploration fca formal human information ir iteg knowledge l3s linked lod open retrieval search sparql web] URL

Alexander J. Quinn, und Benjamin B. Bederson. Human computation: a survey and taxonomy of a growing field. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 1403--1412, ACM, New York, NY, USA, 2011. [PUMA: crowdsourcing human_computation social_computing] URL

S. Zogaj, und U. Bretschneider. Crowdtesting with testCloud – Managing the Challenges of an Intermediary. European Conference on Information Systems (ECIS 2013), Utrecht, Netherlands (accepted for publication), 2013. [PUMA: Crowdsourcing Crowdtesting Intermediary itegpub pub_szo pub_ubr]

J. M. Leimeister. Crowdsourcing: Crowdfunding, Crowdvoting, Crowdcreation. Zeitschrift für Controlling und Management (ZFCM), 56:388-392, 2012. [PUMA: crowdsourcing itegpub pub_jml] URL

U. Bretschneider, und J. M. Leimeister. Schöne neue Crowdsourcing Welt: Billige Arbeitskräfte, Weisheit der Massen?. In K. Meißner, und M. Engelien (Hrsg.), Proceedings zum Workshop Gemeinschaft in Neuen Medien (GeNeMe 11), 1-13, Dresden, Germany, 2011. [PUMA: Crowdsourcing itegpub pub_jml pub_ubr] URL

Xuan Liu, Meiyu Lu, Beng Chin Ooi, Yanyan Shen, Sai Wu, und Meihui Zhang. CDAS: a crowdsourcing data analytics system. Proceedings of the VLDB Endowment, (5)10:1040--1051, VLDB Endowment, Juni 2012. [PUMA: analytics cdas collective crowdsourcing data intelligence mining web] URL

Anthony Brew, Derek Greene, und Pádraig Cunningham. Using Crowdsourcing and Active Learning to Track Sentiment in Online Media. In Helder Coelho, Rudi Studer, und Michael Wooldridge (Hrsg.), Proceedings of the 19th European Conference on Artificial Intelligence, (215):145--150, IOS Press, Amsterdam, The Netherlands, The Netherlands, 2010. [PUMA: active analysis crowdsourcing datamining learning media online sentiment web] URL

Tim Finin, Will Murnane, Anand Karandikar, Nicholas Keller, Justin Martineau, und Mark Dredze. Annotating named entities in Twitter data with crowdsourcing. Proceedings of the NAACL HLT 2010 Workshop on Creating Speech and Language Data with Amazon's Mechanical Turk, 80--88, Association for Computational Linguistics, Stroudsburg, PA, USA, 2010. [PUMA: crowdsourcing entity ner recognition twitter] URL

Omar Alonso, Daniel E. Rose, und Benjamin Stewart. Crowdsourcing for relevance evaluation. SIGIR Forum, (42)2:9--15, ACM, New York, NY, USA, November 2008. [PUMA: crowdsourcing evaluation ir relevance] URL

Vikas C. Raykar, Shipeng Yu, Linda H. Zhao, Gerardo Hermosillo Valadez, Charles Florin, Luca Bogoni, und Linda Moy. Learning From Crowds. Journal of Machine Learning Research, (11):1297--1322, JMLR.org, August 2010. [PUMA: cirg collective computing crowdsourcing extraction human ie information intelligence learning machine ml social] URL

Christoph Lofi, Joachim Selke, und Wolf-Tilo Balke. Information Extraction Meets Crowdsourcing: A Promising Couple. Datenbank-Spektrum, (12)2:109--120, Springer, Berlin/Heidelberg, 2012. [PUMA: cirg collective computing crowdsourcing extraction human ie information intelligence social] URL

Adam Marcus, Eugene Wu, Samuel Madden, und Robert C. Miller. Crowdsourced Databases: Query Processing with People. Proceedings of the 5th Biennial Conference on Innovative Data Systems Research, 211--214, CIDR, Januar 2011. [PUMA: cirg collective computing crowdsourcing database intelligence query social] URL

Michael J. Franklin, Donald Kossmann, Tim Kraska, Sukriti Ramesh, und Reynold Xin. CrowdDB: answering queries with crowdsourcing. Proceedings of the 2011 international conference on Management of data, 61--72, ACM, New York, NY, USA, 2011. [PUMA: cirg collective computation crowddb crowdsourcing database human intelligence social] URL

Joachim Selke, Christoph Lofi, und Wolf-Tilo Balke. Pushing the boundaries of crowd-enabled databases with query-driven schema expansion. Proceedings of the VLDB Endowment, (5)6:538--549, VLDB Endowment, Februar 2012. [PUMA: cirg collective computing crowdsourcing database expansion human intelligence schema social] URL

Aditya Parameswaran, Hyunjung Park, Hector Garcia-Molina, Neoklis Polyzotis, und Jennifer Widom. Deco: Declarative Crowdsourcing. 1015Stanford InfoLab, 2011. [PUMA: cirg collective computing crowdsourcing database deco human intelligence programming social] URL

Patrick Minder, und Abraham Bernstein. CrowdLang - First Steps Towards Programmable Human Computers for General Computation. Proceedings of the 3rd Human Computation Workshop, 103--108, AAAI Press, 2011. [PUMA: cirg collective computing crowdsourcing human intelligence social] URL

Aniket Kittur, Boris Smus, Susheel Khamkar, und Robert E. Kraut. CrowdForge: crowdsourcing complex work. Proceedings of the 24th annual ACM symposium on User interface software and technology, 43--52, ACM, New York, NY, USA, 2011. [PUMA: cirg collective computing crowdsourcing human intelligence social] URL

Anhai Doan, Raghu Ramakrishnan, und Alon Y. Halevy. Crowdsourcing systems on the World-Wide Web. Communications of the ACM, (54)4:86--96, ACM, New York, NY, USA, April 2011. [PUMA: cirg collective computing crowdsourcing human intelligence social] URL