| Fairness in machine learning: A survey S Caton, C Haas ACM Computing Surveys, 2023 | 715 | 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 | 101 | 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 | 63 | 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 | 58 | 2018 |
| Fairness metrics and bias mitigation strategies for rating predictions A Ashokan, C Haas Information Processing & Management 58 (5), 102646, 2021 | 51 | 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 | 34 | 2023 |
| 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 |
| 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 | 32 | 2012 |
| 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 |
| Impact of imputation strategies on fairness in machine learning S Caton, S Malisetty, C Haas Journal of Artificial Intelligence Research 74, 1011-1035, 2022 | 30 | 2022 |
| 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 |
| The evaluation of bankruptcy prediction models based on socio-economic costs J Radovanovic, C Haas Expert Systems with Applications 227, 120275, 2023 | 24 | 2023 |
| 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 | 20 | 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 | 18 | 2022 |
| 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 |
| 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 |
| 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 | 15 | 2013 |
| Fairness in Machine Learning: A Survey.(2020) S Caton, C Haas arXiv preprint arXiv:2010.04053, 2010 | 14 | 2010 |
| Incentives and two-sided matching-engineering coordination mechanisms for social clouds C Haas KIT Scientific Publishing, 2014 | 13 | 2014 |
Simon CatonUniversity College DublinVerified email at ucd.ie
