| Long-term trends in the public perception of artificial intelligence E Fast, E Horvitz Proceedings of the AAAI conference on artificial intelligence 31 (1), 2017 | 551 | 2017 |
| Empath: Understanding topic signals in large-scale text E Fast, B Chen, MS Bernstein Proceedings of the 2016 CHI conference on human factors in computing systems …, 2016 | 501 | 2016 |
| Predicting HLA class II antigen presentation through integrated deep learning B Chen, MS Khodadoust, N Olsson, LE Wagar, E Fast, CL Liu, ... Nature biotechnology 37 (11), 1332-1343, 2019 | 274 | 2019 |
| Iris: A conversational agent for complex tasks E Fast, B Chen, J Mendelsohn, J Bassen, MS Bernstein Proceedings of the 2018 CHI conference on human factors in computing systems …, 2018 | 168 | 2018 |
| Software mutational robustness E Schulte, ZP Fry, E Fast, W Weimer, S Forrest Genetic Programming and Evolvable Machines 15, 281-312, 2014 | 107 | 2014 |
| Potential T-cell and B-cell epitopes of 2019-nCoV E Fast, RB Altman, B Chen BioRxiv, 2020.02. 19.955484, 2020 | 100 | 2020 |
| Shirtless and dangerous: Quantifying linguistic signals of gender bias in an online fiction writing community E Fast, T Vachovsky, M Bernstein Proceedings of the International AAAI Conference on Web and Social Media 10 …, 2016 | 94 | 2016 |
| Reinforcement learning for the adaptive scheduling of educational activities J Bassen, B Balaji, M Schaarschmidt, C Thille, J Painter, D Zimmaro, ... Proceedings of the 2020 CHI conference on human factors in computing systems …, 2020 | 90 | 2020 |
| Designing better fitness functions for automated program repair E Fast, C Le Goues, S Forrest, W Weimer Proceedings of the 12th annual conference on Genetic and evolutionary …, 2010 | 88 | 2010 |
| Emergent, Crowd-scale Programming Practice in the IDE E Fast, D Steffee, L Wang, J Brandt, MS Bernstein, A Stanford University CHI 2014, 2014 | 46 | 2014 |
| Augur: Mining human behaviors from fiction to power interactive systems E Fast, W McGrath, P Rajpurkar, MS Bernstein Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems …, 2016 | 42 | 2016 |
| Identifying dogmatism in social media: Signals and models E Fast, E Horvitz arXiv preprint arXiv:1609.00425, 2016 | 29 | 2016 |
| Crowd-scale Interactive Formal Reasoning and Analytics E Fast, C Lee, A Aiken, M Bernstein, D Koller, E Smith, K Institute UIST 2013, 0 | 24* | |
| Lexicons on Demand: Neural Word Embeddings for Large-Scale Text Analysis. E Fast, B Chen, MS Bernstein IJCAI, 4836-4840, 2017 | 13 | 2017 |
| Meta: Enabling programming languages to learn from the crowd E Fast, MS Bernstein Proceedings of the 29th Annual Symposium on User Interface Software and …, 2016 | 13 | 2016 |
| OARS: exploring instructor analytics for online learning J Bassen, I Howley, E Fast, J Mitchell, C Thille Proceedings of the Fifth Annual ACM Conference on Learning at Scale, 1-10, 2018 | 8 | 2018 |
| Improving security for users of decentralized exchanges through multiparty computation R Annessi, E Fast 2021 IEEE International Conference on Blockchain (Blockchain), 229-236, 2021 | 7 | 2021 |
| Software mutational robustness: Bridging the gap between mutation testing and evolutionary biology E Schulte, ZP Fry, E Fast, S Forrest, W Weimer CoRR abs/1204.4224, 2012 | 7 | 2012 |
| Maria: accurate prediction of MHC-II peptide presentation with deep-learning and lymphoma patient MHC-II ligandome B Chen, M Khodadoust, N Olsson, E Fast, LE Wagar, CL Liu, M Davis, ... Blood 130, 1486, 2017 | 4 | 2017 |
| TAPIR: a T-cell receptor language model for predicting rare and novel targets E Fast, M Dhar, B Chen bioRxiv, 2023 | 3 | 2023 |
