Scott E. Fahlman

Cited by

	All	Since 2019
Citations	12400	1275
h-index	30	15
i10-index	38	17

580

290

145

435

1985198619871988198919901991199219931994199519961997199819992000200120022003200420052006200720082009201020112012201320142015201620172018201920202021202220232024138 123 168 186 147 173 288 347 563 513 469 415 395 385 367 349 311 385 295 316 310 315 398 318 299 268 293 305 311 374 245 242 242 272 241 264 244 208 179 139

Public access

View all

1 article

0 articles

available

not available

Based on funding mandates

Co-authors

Christian LebiereResearch Faculty, Psychology Department, Carnegie Mellon UniversityVerified email at cmu.edu
Geoffrey HintonEmeritus Prof. Computer Science, University of TorontoVerified email at cs.toronto.edu
David TouretzkyProfessor of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Juan Carlos LópezProfessor of Computer Architecture, University of Castilla-La ManchaVerified email at uclm.es
Francisco MoyaUniversity of Castilla-La Mancha, School of Industrial and Aerospace EngineeringVerified email at uclm.es
Terrence SejnowskiFrancis Crick Professor, Salk Institute, Distingished Professor, UC San DiegoVerified email at salk.edu
Rahul SukthankarGoogle ResearchVerified email at google.com
Shumeet BalujaGoogle, Inc.Verified email at google.com
Benjamin W. WahChinese University of Hong KongVerified email at illinois.edu
Douglas FisherVanderbilt UniversityVerified email at vanderbilt.edu
Tom MitchellFounders University Professor of Machine Learning, Carnegie Mellon UniversityVerified email at cs.cmu.edu

Scott E. Fahlman

Professor Emeritus, Language Technologies and Computer Science, Carnegie Mellon University

Verified email at cs.cmu.edu - Homepage

Artificial Intelligence Knowledge Representation and Reasoning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
The cascade-correlation learning architecture S Fahlman, C Lebiere Advances in neural information processing systems 2, 1989	4754	1989
Faster learning variations of back propagation: An empirical study SE Fahlman Proceedings of the 1988 connectionist models summer school, 38-51, 1988	1847	1988
An empirical study of learning speed in back-propagation networks SE Fahlman Carnegie Mellon University, Computer Science Department, 1988	1473	1988
NETL: A system for representing and using real-world knowledge SE Fahlman American Journal of Computational Linguistics 6 (3-4), 1980	924	1980
A planning system for robot construction tasks SE Fahlman Artificial intelligence 5 (1), 1-49, 1974	358	1974
What can massively parallel architectures bring to AI? SE Fahlman Australian Joint Conference on Artificial Intelligence, 7-11, 1988	350	1988
The recurrent cascade-correlation architecture S Fahlman Advances in neural information processing systems 3, 1990	346	1990
Learning with limited numerical precision using the cascade-correlation algorithm M Hoehfeld, SE Fahlman Carnegie-Mellon University. Department of Computer Science, 1991	314	1991
Connectionist architectures for artificial intelligence SE Fahlman, GE Hinton Computer 20 (01), 100-109, 1987	262	1987
Method for transforming message containing sensitive information SE Fahlman, R Sukthankar, A Brusseau US Patent 5,960,080, 1999	182	1999
Advances in neural information processing systems SE Fahlman, C Lebiere, D Touretzky	128	1990
A system for representing and using real-world knowledge SE Fahlman	103	1977
Cancellation in a Parallel Semantic Network. SE Fahlman, DS Touretzky, W van Roggen Ijcai, 257-263, 1981	89	1981
Reducing network depth in the cascade-correlation learning architecture S Baluja, SE Fahlman Carnegie-Mellon University. Department of Computer Science, 1994	87	1994
Proceedings of the national conference on artificial intelligence SE Fahlman, GE Hinton, TJ Sejnowski	85	1983
The cascade-correlation learning algorithm SE Fahlman Neural Information Proccesing Systems, 524-532, 1990	82	1990
Smiley lore:- SE Fahlman Retrieved October 6, 2002, 2002	77	2002
Representing implicit knowledge SE Fahlman Parallel models of associative memory, 171-185, 2014	73	2014
Marker-passing inference in the scone knowledge-base system SE Fahlman International Conference on Knowledge Science, Engineering and Management …, 2006	73	2006
Probabilistic rounding in neural network learning with limited precision M Höhfeld, SE Fahlman Neurocomputing 4 (6), 291-299, 1992	70	1992

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors