Ujwal Gadiraju

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Stefan DietzeFull Professor (Heinrich-Heine-University Düsseldorf) & Scientific Director (KTS, GESIS)Patvirtintas el. paštas l3s.de
Gianluca DemartiniAssociate Professor at the University of QueenslandPatvirtintas el. paštas cs.berkeley.edu
Alessandro BozzonProfessor Human-Centered AI, Delft University of TechnologyPatvirtintas el. paštas tudelft.nl
Ricardo KawaseMobile.de | AdevintaPatvirtintas el. paštas l3s.de
Besnik FetahuAmazon Inc.Patvirtintas el. paštas amazon.com
Sihang QiuHunan Institute of Advanced Technology (organizing); NUDTPatvirtintas el. paštas acm.org
Alessandro CheccoComputer Science Department - University of Rome La SapienzaPatvirtintas el. paštas uniroma1.it
Avishek AnandAssociate Professor, TU Delft and L3S Research CenterPatvirtintas el. paštas tudelft.nl
Wolfgang NejdlProfessor of Computer Science, Leibniz Universität Hannover, L3S Research Center, Hannover, GermanyPatvirtintas el. paštas kbs.uni-hannover.de
Tahir AbbasResearcher in Human-centered AI, TU DelftPatvirtintas el. paštas tue.nl
Claudia HauffStaff Research Scientist @Spotify | Part-time Associate Prof. TU DelftPatvirtintas el. paštas spotify.com
Vassilis-Javed KhanSappi EuropePatvirtintas el. paštas sappi.com
Panos MarkopoulosEindhoven University of TechnologyPatvirtintas el. paštas tue.nl
Jie YangAssistant Professor, Delft University of TechnologyPatvirtintas el. paštas tudelft.nl
Kevin RoiteroUniversity of UdinePatvirtintas el. paštas uniud.it
Lei HanThe University of QueenslandPatvirtintas el. paštas uq.edu.au
Eddy MaddalenaUniversità degli Studi di Udine, ItalyPatvirtintas el. paštas uniud.it
Geert-Jan HoubenProf. Web Information Systems / Pro Vice Rector Magnificus AI, Data & Digitalisation, TU DelftPatvirtintas el. paštas tudelft.nl
Steffen StaabWAIS, University of Southampton, UK & Analytic Computing, Universität Stuttgart, DE &Patvirtintas el. paštas ipvs.uni-stuttgart.de
Prof. Nava TintarevMaastricht UniversityPatvirtintas el. paštas maastrichtuniversity.nl

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Ujwal Gadiraju

Assistant Professor, Web Information Systems, Delft University of Technology

Patvirtintas el. paštas tudelft.nl - Pagrindinis puslapis

Human-centered AI Crowd Computing Human-Computer Interaction Information Retrieval Conversational Interfaces


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
Bias in data‐driven artificial intelligence systems—An introductory survey E Ntoutsi, P Fafalios, U Gadiraju, V Iosifidis, W Nejdl, ME Vidal, S Ruggieri, ... Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 10 (3 …, 2020	338	2020
Understanding Malicious Behavior in Crowdsourcing Platforms: The Case of Online Surveys U Gadiraju, R Kawase, S Dietze, G Demartini CHI 2015. Proceedings of the 33rd Annual ACM Conference on Human Factors in …, 2015	283	2015
A taxonomy of microtasks on the web U Gadiraju, R Kawase, S Dietze HT 2014. Proceedings of the 25th ACM conference on Hypertext and social …, 2014	146	2014
Clarity is a Worthwhile Quality: On the Role of Task Clarity in Microtask Crowdsourcing U Gadiraju, J Yang, A Bozzon 🏆 HT 2017. In Proceedings of the 28th ACM Conference on Hypertext and Social …, 2017	104	2017
Groundhog day: near-duplicate detection on twitter K Tao, F Abel, C Hauff, GJ Houben, U Gadiraju WWW 2013. Proceedings of the 22nd international conference on World Wide Web …, 2013	87	2013
Understanding and Mitigating Worker Biases in the Crowdsourced Collection of Subjective Judgments C Hube, B Fetahu, U Gadiraju CHI 2019. Proceedings of the 2019 {CHI} Conference on Human Factors in …, 2019	86	2019
Analyzing knowledge gain of users in informational search sessions on the web U Gadiraju, R Yu, S Dietze, P Holtz CHIIR 2018. Proceedings of the 2018 Conference on Human Information …, 2018	85	2018
Predicting user knowledge gain in informational search sessions R Yu, U Gadiraju, P Holtz, M Rokicki, P Kemkes, S Dietze SIGIR 2018. The 41st International ACM SIGIR Conference on Research …, 2018	82	2018
Training workers for improving performance in crowdsourcing microtasks U Gadiraju, B Fetahu, R Kawase ECTEL 2015. Design for Teaching and Learning in a Networked World, 100-114, 2015	63	2015
Using worker self-assessments for competence-based pre-selection in crowdsourcing microtasks U Gadiraju, B Fetahu, R Kawase, P Siehndel, S Dietze ACM Transactions on Computer-Human Interaction (TOCHI) 24 (4), 1-26, 2017	54	2017
All those wasted hours: On task abandonment in crowdsourcing L Han, K Roitero, U Gadiraju, C Sarasua, A Checco, E Maddalena, ... WSDM 2019. Proceedings of the Twelfth ACM International Conference on Web …, 2019	52	2019
Crowdsourcing versus the laboratory: towards human-centered experiments using the crowd U Gadiraju, S Möller, M Nöllenburg, D Saupe, S Egger-Lampl, ... Evaluation in the Crowd. Crowdsourcing and Human-Centered Experiments …, 2017	51	2017
Modus operandi of crowd workers: The invisible role of microtask work environments U Gadiraju, A Checco, N Gupta, G Demartini UBICOMP 2017. Proceedings of the ACM on Interactive, Mobile, Wearable and …, 2017	48	2017
Human beyond the machine: Challenges and opportunities of microtask crowdsourcing U Gadiraju, G Demartini, R Kawase, S Dietze IEEE Intelligent Systems 30 (4), 81-85, 2015	46	2015
Improving learning through achievement priming in crowdsourced information finding microtasks U Gadiraju, S Dietze LAK 2017. Proceedings of the Seventh International Learning Analytics …, 2017	43	2017
Dissonance Between Human and Machine Understanding Z Zhang, J Singh, U Gadiraju, A Anand CSCW 2019. Proc. ACM Hum.-Comput. Interact. 3, CSCW 3 (56), 23, 2019	42	2019
An introduction to hybrid human-machine information systems G Demartini, DE Difallah, U Gadiraju, M Catasta Foundations and Trends® in Web Science 7 (1), 1-87, 2017	38	2017
Improving Worker Engagement Through Conversational Microtask Crowdsourcing S Qiu, U Gadiraju, A Bozzon CHI 2020. Proceedings of the 2020 CHI Conference on Human Factors in …, 2020	36	2020
In What Mood Are You Today?: An Analysis of Crowd Workers' Mood, Performance and Engagement M Zhuang, U Gadiraju Web Science 2019. Proceedings of the 10th ACM Conference on Web Science, 373-382, 2019	35	2019
Balancing novelty and salience: Adaptive learning to rank entities for timeline summarization of high-impact events TA Tran, C Niederee, N Kanhabua, U Gadiraju, A Anand CIKM 2017. Proceedings of the 24th ACM International on Conference on …, 2015	35	2015

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