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
Learning causal models via progressive alignment & qualitative modeling: A simulation
S Friedman, K Forbus
Proceedings of CogSci 2008, 2008
Repairing Incorrect Knowledge with Model Formulation and Metareasoning
SE Friedman, KD Forbus
Proceedings of the 22nd International Joint Conference on Artificialá…, 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
Hash tables for embedded and real-time systems
S Friedman, A Krishnan, N Leidenfrost
Extracting fine-grained knowledge graphs of scientific claims: Dataset and transformer-based results
IH Magnusson, SE Friedman
arXiv preprint arXiv:2109.10453, 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
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
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
Edge-cycles: A qualitative sketch representation to support recognition
MD McLure, SE Friedman, A Lovett, KD Forbus
Qualitative Reasoning, 2011
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