| Social coding in GitHub: transparency and collaboration in an open software repository L Dabbish, C Stuart, J Tsay, J Herbsleb Proceedings of the ACM 2012 conference on computer supported cooperative …, 2012 | 1276 | 2012 |
| Influence of social and technical factors for evaluating contribution in GitHub J Tsay, L Dabbish, J Herbsleb Proceedings of the 36th international conference on Software engineering …, 2014 | 445 | 2014 |
| FactSheets: Increasing trust in AI services through supplier's declarations of conformity M Arnold, RKE Bellamy, M Hind, S Houde, S Mehta, A Mojsilović, R Nair, ... IBM Journal of Research and Development 63 (4/5), 6: 1-6: 13, 2019 | 298 | 2019 |
| Let's talk about it: evaluating contributions through discussion in GitHub J Tsay, L Dabbish, J Herbsleb Proceedings of the 22nd ACM SIGSOFT international symposium on foundations …, 2014 | 211 | 2014 |
| How data science workers work with data: Discovery, capture, curation, design, creation M Muller, I Lange, D Wang, D Piorkowski, J Tsay, QV Liao, C Dugan, ... Proceedings of the 2019 CHI conference on human factors in computing systems …, 2019 | 179 | 2019 |
| Leveraging transparency L Dabbish, C Stuart, J Tsay, J Herbsleb IEEE software 30 (1), 37-43, 2012 | 97 | 2012 |
| Social media and success in open source projects JT Tsay, L Dabbish, J Herbsleb Proceedings of the ACM 2012 conference on computer supported cooperative …, 2012 | 54 | 2012 |
| Runway: machine learning model experiment management tool J Tsay, T Mummert, N Bobroff, A Braz, P Westerink, M Hirzel SysML, 2018 | 22 | 2018 |
| Social media in transparent work environments J Tsay, L Dabbish, JD Herbsleb 2013 6th International Workshop on Cooperative and Human Aspects of Software …, 2013 | 17 | 2013 |
| How data science workers work with data M Muller, I Lange, D Wang, D Piorkowski, J Tsay, QV Liao, C Dugan, ... Conference on Human Factors in Computing Systems-Proceedings, 86-94, 2019 | 15 | 2019 |
| Aimmx: Artificial intelligence model metadata extractor J Tsay, A Braz, M Hirzel, A Shinnar, T Mummert Proceedings of the 17th International Conference on Mining Software …, 2020 | 13 | 2020 |
| Towards automating code review at scale VJ Hellendoorn, J Tsay, M Mukherjee, M Hirzel Proceedings of the 29th ACM Joint Meeting on European Software Engineering …, 2021 | 12 | 2021 |
| Pipeline combinators for gradual automl G Baudart, M Hirzel, K Kate, P Ram, A Shinnar, J Tsay Advances in Neural Information Processing Systems 34, 19705-19718, 2021 | 11 | 2021 |
| Evaluation of artificial intelligence systems for assisting neurologists with fast and accurate annotations of scalp electroencephalography data S Roy, I Kiral, M Mirmomeni, T Mummert, A Braz, J Tsay, J Tang, U Asif, ... EBioMedicine 66, 2021 | 11 | 2021 |
| Experiences mining open source release histories J Tsay, HK Wright, DE Perry Proceedings of the 2011 International Conference on Software and Systems …, 2011 | 9 | 2011 |
| Transparency and coordination in peer production L Dabbish, C Stuart, J Tsay, J Herbsleb arXiv preprint arXiv:1407.0377, 2014 | 7 | 2014 |
| Gradual AutoML using Lale M Hirzel, K Kate, P Ram, A Shinnar, J Tsay Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 3 | 2022 |
| Hierarchical dynamic deployment of ai model A Braz, M Hirzel, T Mummert, J Tsay, P Westerink US Patent App. 16/205,329, 2020 | 3 | 2020 |
| The Deep Learning Epilepsy Detection Challenge: design, implementation, and test of a new crowd-sourced AI challenge ecosystem I Kiral, S Roy, T Mummert, A Braz, J Tsay, J Tang, U Asif, T Schaffter, ... Challenges in Machine Learning Competitions for All (CiML) 1 (1), 2019 | 3 | 2019 |
| Automatically Debugging AutoML Pipelines Using Maro: ML Automated Remediation Oracle (Extended Version) J Dolby, J Tsay, M Hirzel arXiv preprint arXiv:2205.01311, 2022 | 2 | 2022 |
Jim HerbslebCarnegie Mellon UniversityVerified email at cmu.edu
