Christian Haas

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Simon CatonUniversity College DublinEmail yang diverifikasi di ucd.ie
Christof WeinhardtProfessor for Information Systems, Karlsruhe Institute of TechnologyEmail yang diverifikasi di kit.edu
Margeret HallUniversity of Nebraska at OmahaEmail yang diverifikasi di unomaha.edu
Kyle ChardUniversity of Chicago and Argonne National LaboratoryEmail yang diverifikasi di uchicago.edu
Ian T. FosterUniversity of Chicago and Argonne National LaboratoryEmail yang diverifikasi di anl.gov
Matt BaughmanPhD Student in Computer Science, University of ChicagoEmail yang diverifikasi di uchicago.edu
Omer RanaCardiff University, UKEmail yang diverifikasi di cardiff.ac.uk
Kris BubendorferAssociate Professor in Engineering, School of Engineering and Computer Science, Victoria UniversityEmail yang diverifikasi di ecs.vuw.ac.nz
Wibke MichalkProfessor, TH Rosenheim at Campus ChiemgauEmail yang diverifikasi di akk.org
Dhundy BastolaProfessor, University of Nebraska at OmahaEmail yang diverifikasi di unomaha.edu
Ivona BrandicFull Professor for High Performance Computing Systems, TU WienEmail yang diverifikasi di tuwien.ac.at
Ivan BreskovicEconomic Analyst at the European CommissionEmail yang diverifikasi di infosys.tuwien.ac.at
Ioan PetriCardiff University, UKEmail yang diverifikasi di cardiff.ac.uk
Jorge CardosoHuawei and Professor of Computer Science, University of CoimbraEmail yang diverifikasi di dei.uc.pt
Axel KieningerKarlsruhe Service Research Institute (KSRI), Karlsruhe Institute of Technology (KIT)Email yang diverifikasi di kit.edu

Ikuti

Christian Haas

University of Nebraska at Omaha

Email yang diverifikasi di unomaha.edu

Data-Driven Decision Making Fairness and Bias Optimization and Heuristics Computational Economics


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
Fairness in machine learning: A survey S Caton, C Haas ACM Computing Surveys, 2023	807	2023
A social compute cloud: Allocating and sharing infrastructure resources via social networks S Caton, C Haas, K Chard, K Bubendorfer, OF Rana IEEE Transactions on Services Computing 7 (3), 359-372, 2014	103	2014
The Price of Fairness - A Framework to Explore Trade-Offs in Algorithmic Fairness C Haas 40th International Conference on Information Systems, ICIS 2019, 2019	67	2019
Predicting Amazon spot prices with LSTM networks M Baughman, C Haas, R Wolski, I Foster, K Chard Proceedings of the 9th workshop on scientific cloud computing, 1-7, 2018	60	2018
Fairness metrics and bias mitigation strategies for rating predictions A Ashokan, C Haas Information Processing & Management 58 (5), 102646, 2021	57	2021
Algorithmic fairness in AI: an interdisciplinary view J Pfeiffer, J Gutschow, C Haas, F Möslein, O Maspfuhl, F Borgers, ... Business & Information Systems Engineering 65 (2), 209-222, 2023	35	2023
Foundations of Trust: Contextualising Trust in Social Clouds S Caton, C Dukat, T Grenz, C Haas, M Pfadenhauer, C Weinhardt 2nd International Conference on Social Computing and Its Applications, 424-429, 2012	33	2012
Deconstructing the 2017 changes to AWS spot market pricing M Baughman, S Caton, C Haas, R Chard, R Wolski, I Foster, K Chard Proceedings of the 10th Workshop on Scientific Cloud Computing, 19-26, 2019	32	2019
The evaluation of bankruptcy prediction models based on socio-economic costs J Radovanovic, C Haas Expert Systems with Applications 227, 120275, 2023	31	2023
Impact of imputation strategies on fairness in machine learning S Caton, S Malisetty, C Haas Journal of Artificial Intelligence Research 74, 1011-1035, 2022	31	2022
Co-operative infrastructures: An economic model for providing infrastructures for social cloud computing C Haas, S Caton, K Chard, C Weinhardt 2013 46th Hawaii International Conference on System Sciences, 729-738, 2013	31	2013
Finding optimal mentor-mentee matches: A case study in applied two-sided matching C Haas, M Hall, SL Vlasnik Heliyon 4 (6), e00634, 2018	25	2018
Towards self-awareness in cloud markets: A monitoring methodology I Breskovic, C Haas, S Caton, I Brandic 2011 IEEE Ninth International Conference on Dependable, Autonomic and Secure …, 2011	22	2011
Engineering incentives in social clouds C Haas, S Caton, C Weinhardt Cluster, Cloud and Grid Computing (CCGrid), 2011 11th IEEE/ACM International …, 2011	21	2011
Identification of Multimorbidity Patterns in Rheumatoid Arthritis through Machine Learning BR England, Y Yang, P Roul, C Haas, L Najjar, H Sayles, F Yu, BC Sauer, ... Arthritis Care & Research, 2022	19	2022
Fairness in Machine Learning: A Survey.(2020) S Caton, C Haas arXiv preprint arXiv:2010.04053, 2010	17	2010
Identifying glycemic variability in diabetes patient cohorts and evaluating disease outcomes MC Nwadiugwu, DR Bastola, C Haas, D Russell Journal of clinical medicine 10 (7), 1477, 2021	16	2021
Preference-based resource allocation: using heuristics to solve two-sided matching problems with indifferences C Haas, SO Kimbrough, S Caton, C Weinhardt Economics of Grids, Clouds, Systems, and Services: 10th International …, 2013	16	2013
Towards the gamification of well-being measures M Hall, SO Kimbrough, C Haas, C Weinhardt, S Caton 2012 IEEE 8th International Conference on E-Science, 1-8, 2012	16	2012
Incentives and two-sided matching-engineering coordination mechanisms for social clouds C Haas KIT Scientific Publishing, 2014	13	2014

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