| Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, ... Proceedings of the National Academy of Sciences 119 (15), e2113561119, 2022 | 164 | 2022 |
| Interpretable sequence learning for COVID-19 forecasting S Arik, CL Li, J Yoon, R Sinha, A Epshteyn, L Le, V Menon, S Singh, ... Advances in Neural Information Processing Systems 33, 18807-18818, 2020 | 94 | 2020 |
| Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the US EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, ... Medrxiv, 2021.02. 03.21250974, 2021 | 90 | 2021 |
| A user study to inform the design of the obsidian blockchain DSL C Barnaby, M Coblenz, T Etzel, E Kanal, J Sunshine, B Myers, J Aldrich Workshop on Evaluation and Usability of Programming Languages and Tools …, 2017 | 11 | 2017 |
| This malware looks familiar: Laymen identify malware run-time similarity with chernoff faces and stick figures N VanHoudnos, W Casey, D French, B Lindauer, E Kanal, E Wright, ... 10th EAI International Conference on Bio-inspired Information and …, 2017 | 11 | 2017 |
| Artificial Intelligence and Cyber Intelligence: An Implementation Guide A Galyardt, R Gupta, D DeCapria, E Kanal, J Ettinger Carnegie Mellon University. Recuperado de: https://resources. sei. cmu. edu …, 2019 | 5 | 2019 |
| Magnetoencephalographic imaging of deep corticostriatal network activity during a rewards paradigm EY Kanal, M Sun, TE Ozkurt, W Jia, R Sclabassi 2009 Annual International Conference of the IEEE Engineering in Medicine and …, 2009 | 3 | 2009 |
| A prospective evaluation of AI-augmented epidemiology to forecast COVID-19 in the USA and Japan J Ledsam, S Arik, J Shor, R Sinha, J Yoon, L Le, M Dusenberry, N Yoder, ... | 1 | 2021 |
| Towards a Mathematical Definition of Robustness for Machine Learning Algorithms Z Kurtz, R Gupta, E Kanal, M Gaston, ... Technical Report. Carnegie Mellon University Software Engineering Institute …, 2018 | 1 | 2018 |
| Detecting granger causality in the corticostriatal learning and rewards network using meg E Kanal, T Ozkurt, RJ Sclabassi, M Sun 2009 IEEE 35th Annual Northeast Bioengineering Conference, 1-2, 2009 | 1 | 2009 |
| Is Software Spoiling Us? Innovations in Daily Life from Software-SEI Podcast Series J Boleng, G Lewis, E Kanal, S Venneti, J Yankel, ... | | 2021 |
| AI is not Magic: Managing a team of analysts E Kanal, ... | | 2020 |
| Is Software Spoiling Us Innovations in Daily Life from Software J Boleng, G Lewis, E Kanal, JD Yankel, S Venneti, ... | | 2020 |
| Applied Blockchain: Current and future directionswith SEI and CMU partners E Kanal Carnegie Mellon University Pittsburgh United States, 2019 | | 2019 |
| Verification and Validation in Artificial Intelligence E Kanal, CARNEGIE-MELLON UNIV PITTSBURGH PA | | 2019 |
| Secure Your Code Using AI E Kanal, ... | | 2019 |
| Viable Applications for Blockchain in the Healthcare Community E Kanal, ... | | 2019 |
| Feasibility of Voice Recognition Technology in Controlled Defense Information Environments E Kanal, LP Gates, J Davenport, ... | | 2018 |
| Blockchain E Kanal, ... | | 2018 |
| Obsidian: Secure Coding In Blockchain E Kanal, ... | | 2017 |
