Classifying paintings by artistic genre: An analysis of features & classifiers J Zujovic, L Gandy, S Friedman, B Pardo, TN Pappas 2009 IEEE International Workshop on Multimedia Signal Processing, 1-5, 2009 | 158 | 2009 |
Extending analogical generalization with near-misses M McLure, S Friedman, K Forbus Proceedings of the aaai conference on artificial intelligence 29 (1), 2015 | 68 | 2015 |
Combining deep learning and qualitative spatial reasoning to learn complex structures from sparse examples with noise N Krishnaswamy, S Friedman, J Pustejovsky Proceedings of the AAAI conference on artificial intelligence 33 (01), 2911-2918, 2019 | 40 | 2019 |
Learning concepts from sketches via analogical generalization and near-misses M McLure, S Friedman, K Forbus Proceedings of Cogsci10, 2010 | 34 | 2010 |
Systematizing confidence in open research and evidence (score) N Alipourfard, B Arendt, DM Benjamin, N Benkler, M Bishop, M Burstein, ... SocArXiv, 2021 | 32 | 2021 |
Relating word embedding gender biases to gender gaps: A cross-cultural analysis S Friedman, S Schmer-Galunder, A Chen, J Rye Proceedings of the first workshop on gender bias in natural language …, 2019 | 30 | 2019 |
Representing, running, and revising mental models: A computational model S Friedman, K Forbus, B Sherin Cognitive Science 42 (4), 1110-1145, 2018 | 27 | 2018 |
An integrated systems approach to explanationbased conceptual change S Friedman, K Forbus Proceedings of the 25th Annual AAAI Conference on Artificial Intelligence, 2010 | 27 | 2010 |
Learning causal models via progressive alignment & qualitative modeling: A simulation S Friedman, K Forbus Proceedings of CogSci 2008, 2008 | 24 | 2008 |
Repairing Incorrect Knowledge with Model Formulation and Metareasoning SE Friedman, KD Forbus Proceedings of the 22nd International Joint Conference on Artificial …, 2011 | 23 | 2011 |
Extracting and improving microarchitecture performance on reconfigurable architectures S Padmanabhan, P Jones, DV Schuehler, SJ Friedman, P Krishnamurthy, ... International Journal of Parallel Programming 33 (2), 115-136, 2005 | 23 | 2005 |
Hash tables for embedded and real-time systems S Friedman, A Krishnan, N Leidenfrost | 23 | 2003 |
Extracting fine-grained knowledge graphs of scientific claims: Dataset and transformer-based results IH Magnusson, SE Friedman arXiv preprint arXiv:2109.10453, 2021 | 20 | 2021 |
Cycle-accurate microarchitecture performance evaluation R Hough, P Jones, S Friedman, R Chamberlain, J Fritts, J Lockwood, ... Proc. of Workshop on Introspective Architecture, 2006 | 19 | 2006 |
Extending biology models with deep NLP over scientific articles D McDonald, S Friedman, A Paullada, R Bobrow, M Burstein Workshops at the Thirtieth AAAI Conference on Artificial Intelligence, 2016 | 17 | 2016 |
Learning naïve physics models by analogical generalization S Friedman, J Taylor, K Forbus Proceedings of the 2nd International Analogy Conference, 2009 | 16 | 2009 |
Dusty caches for reference counting garbage collection S Friedman, P Krishnamurthy, R Chamberlain, RK Cytron, JE Fritts Proceedings of the 2005 workshop on MEmory performance: DEaling with …, 2005 | 16 | 2005 |
Natural language dialogue for building and learning models and structures I Perera, J Allen, L Galescu, CM Teng, M Burstein, S Friedman, ... Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 15 | 2017 |
Curriculum Design of a Case‐based Knowledge Translation Shift for Emergency Medicine Residents S Friedman, B Sayers, M Lazio, S Friedman, MA Gisondi Academic Emergency Medicine 17, S42-S48, 2010 | 15 | 2010 |
Edge-cycles: A qualitative sketch representation to support recognition MD McLure, SE Friedman, A Lovett, KD Forbus Qualitative Reasoning, 2011 | 14 | 2011 |