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Scott Friedman
Scott Friedman
Principal Research Scientist, SIFT
Dirección de correo verificada de sift.net - Página principal
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Año
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
1512009
Extending analogical generalization with near-misses
M McLure, S Friedman, K Forbus
Proceedings of the aaai conference on artificial intelligence 29 (1), 2015
672015
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
362019
Learning concepts from sketches via analogical generalization and near-misses
M McLure, S Friedman, K Forbus
Proceedings of Cogsci10, 2010
342010
Systematizing confidence in open research and evidence (score)
N Alipourfard, B Arendt, DM Benjamin, N Benkler, M Bishop, M Burstein, ...
SocArXiv, 2021
272021
An integrated systems approach to explanationbased conceptual change
S Friedman, K Forbus
Proceedings of the 25th Annual AAAI Conference on Artificial Intelligence, 2010
272010
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
262019
Repairing Incorrect Knowledge with Model Formulation and Metareasoning
SE Friedman, KD Forbus
Proceedings of the 22nd International Joint Conference on Artificial …, 2011
232011
Learning causal models via progressive alignment & qualitative modeling: A simulation
S Friedman, K Forbus
Proceedings of CogSci 2008, 2008
232008
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
232005
Representing, running, and revising mental models: A computational model
S Friedman, K Forbus, B Sherin
Cognitive Science 42 (4), 1110-1145, 2018
222018
Hash tables for embedded and real-time systems
S Friedman, A Krishnan, N Leidenfrost
222003
Cycle-accurate microarchitecture performance evaluation
R Hough, P Jones, S Friedman, R Chamberlain, J Fritts, J Lockwood, ...
Proc. of Workshop on Introspective Architecture, 2006
192006
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
162016
Learning naïve physics models by analogical generalization
S Friedman, J Taylor, K Forbus
Proceedings of the 2nd International Analogy Conference, 2009
162009
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
162005
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
152017
Extracting fine-grained knowledge graphs of scientific claims: Dataset and transformer-based results
IH Magnusson, SE Friedman
arXiv preprint arXiv:2109.10453, 2021
142021
Revising Domain Knowledge with Cross-Domain Analogy
SE Friedman, DM Barbella, KD Forbus
Advances in Cognitive Systems 2, 13-24, 2012
142012
Edge-cycles: A qualitative sketch representation to support recognition
MD McLure, SE Friedman, A Lovett, KD Forbus
Qualitative Reasoning, 2011
132011
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Artículos 1–20