| An analysis of ISO 26262: Using machine learning safely in automotive software R Salay, R Queiroz, K Czarnecki arXiv preprint arXiv:1709.02435, 2017 | 262 | 2017 |
| Improving reconstruction autoencoder out-of-distribution detection with mahalanobis distance T Denouden, R Salay, K Czarnecki, V Abdelzad, B Phan, S Vernekar arXiv preprint arXiv:1812.02765, 2018 | 205 | 2018 |
| Partial models: Towards modeling and reasoning with uncertainty M Famelis, R Salay, M Chechik 2012 34th International Conference on Software Engineering (ICSE), 573-583, 2012 | 204 | 2012 |
| Model transformation intents and their properties L Lúcio, M Amrani, J Dingel, L Lambers, R Salay, GMK Selim, E Syriani, ... Software & systems modeling 15 (3), 647-684, 2016 | 163 | 2016 |
| Out-of-distribution detection in classifiers via generation S Vernekar, A Gaurav, V Abdelzad, T Denouden, R Salay, K Czarnecki arXiv preprint arXiv:1910.04241, 2019 | 114 | 2019 |
| Managing requirements uncertainty with partial models R Salay, M Chechik, J Horkoff, AD Sandro Requirements Engineering 18 (2), 107-128, 2013 | 114 | 2013 |
| Using machine learning safely in automotive software: An assessment and adaption of software process requirements in ISO 26262 R Salay, K Czarnecki arXiv preprint arXiv:1808.01614, 2018 | 98 | 2018 |
| An automated vehicle safety concept based on runtime restriction of the operational design domain I Colwell, B Phan, S Saleem, R Salay, K Czarnecki 2018 IEEE Intelligent Vehicles Symposium (IV), 1910-1917, 2018 | 96 | 2018 |
| Lifting model transformations to product lines R Salay, M Famelis, J Rubin, A Di Sandro, M Chechik Proceedings of the 36th International Conference on Software Engineering …, 2014 | 89 | 2014 |
| Language independent refinement using partial modeling R Salay, M Famelis, M Chechik International Conference on Fundamental Approaches to Software Engineering …, 2012 | 88 | 2012 |
| Towards a framework to manage perceptual uncertainty for safe automated driving K Czarnecki, R Salay international conference on computer safety, reliability, and security, 439-445, 2018 | 80 | 2018 |
| ProcSy: Procedural Synthetic Dataset Generation Towards Influence Factor Studies Of Semantic Segmentation Networks. S Khan, B Phan, R Salay, K Czarnecki CVPR workshops 3, 4, 2019 | 70 | 2019 |
| Using macromodels to manage collections of related models R Salay, J Mylopoulos, S Easterbrook International Conference on Advanced Information Systems Engineering, 141-155, 2009 | 68 | 2009 |
| Detecting out-of-distribution inputs in deep neural networks using an early-layer output V Abdelzad, K Czarnecki, R Salay, T Denounden, S Vernekar, B Phan arXiv preprint arXiv:1910.10307, 2019 | 63 | 2019 |
| Towards a model transformation intent catalog M Amrani, J Dingel, L Lambers, L Lúcio, R Salay, G Selim, E Syriani, ... Proceedings of the First Workshop on the Analysis of Model Transformations, 3-8, 2012 | 62 | 2012 |
| Transformation of models containing uncertainty M Famelis, R Salay, A Di Sandro, M Chechik International conference on model driven engineering languages and systems …, 2013 | 56 | 2013 |
| Contents for a model-based software engineering body of knowledge L Burgueño, F Ciccozzi, M Famelis, G Kappel, L Lambers, S Mosser, ... Software and systems modeling 18 (6), 3193-3205, 2019 | 54 | 2019 |
| An eclipse-based tool framework for software model management R Salay, M Chechik, S Easterbrook, Z Diskin, P McCormick, S Nejati, ... Proceedings of the 2007 OOPSLA workshop on eclipse technology eXchange, 55-59, 2007 | 54 | 2007 |
| MMINT: A Graphical Tool for Interactive Model Management. A Di Sandro, R Salay, M Famelis, S Kokaly, M Chechik P&D@ MoDELS, 16-19, 2015 | 48 | 2015 |
| Towards requirements specification for machine-learned perception based on human performance BC Hu, R Salay, K Czarnecki, M Rahimi, G Selim, M Chechik 2020 IEEE Seventh International Workshop on Artificial Intelligence for …, 2020 | 40 | 2020 |
