Scott Friedman
Scott Friedman
Principal Research Scientist, SIFT
Verified email at - Homepage
Cited by
Cited by
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
Extending analogical generalization with near-misses
M McLure, S Friedman, K Forbus
Proceedings of the aaai conference on artificial intelligence 29 (1), 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
Learning concepts from sketches via analogical generalization and near-misses
M McLure, S Friedman, K Forbus
Proceedings of Cogsci10, 2010
Systematizing confidence in open research and evidence (score)
N Alipourfard, B Arendt, DM Benjamin, N Benkler, M Bishop, M Burstein, ...
SocArXiv, 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 languageá…, 2019
An integrated systems approach to explanationbased conceptual change
S Friedman, K Forbus
Proceedings of the 25th Annual AAAI Conference on Artificial Intelligence, 2010
Representing, running, and revising mental models: A computational model
S Friedman, K Forbus, B Sherin
Cognitive Science 42 (4), 1110-1145, 2018
Repairing Incorrect Knowledge with Model Formulation and Metareasoning
SE Friedman, KD Forbus
Proceedings of the 22nd International Joint Conference on Artificialá…, 2011
Learning causal models via progressive alignment & qualitative modeling: A simulation
S Friedman, K Forbus
Proceedings of CogSci 2008, 2008
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
Hash tables for embedded and real-time systems
S Friedman, A Krishnan, N Leidenfrost
Cycle-accurate microarchitecture performance evaluation
R Hough, P Jones, S Friedman, R Chamberlain, J Fritts, J Lockwood, ...
Proc. of Workshop on Introspective Architecture, 2006
Extracting fine-grained knowledge graphs of scientific claims: Dataset and transformer-based results
IH Magnusson, SE Friedman
arXiv preprint arXiv:2109.10453, 2021
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
Learning na´ve physics models by analogical generalization
S Friedman, J Taylor, K Forbus
Proceedings of the 2nd International Analogy Conference, 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 withá…, 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
Revising Domain Knowledge with Cross-Domain Analogy
SE Friedman, DM Barbella, KD Forbus
Advances in Cognitive Systems 2, 13-24, 2012
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
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