Sally A. Goldman

76 papers A* 25A 1B 6Journal 35Unranked 8
YearRankTypeTitle / Venue / Authors
2022 J jnl
Innovative Courses that Broaden Awareness of CS Careers and Prepare Students for Technical Interviews.
J. Comput. Sci. Coll.
Jean Griffin, Legand Burge, Sally A. Goldman, Diego Aguierre, Juan Alonso-Cruz, April Alvarez, Albert Cervantes, Shameeka Emanuel, Ann Q. Gates, Daniel Gillick, Christopher Hogan, Jeremy Hurwitz, Janaki Lahorani, Mary Jo Madda, Olumid Malomo, Jenn Marroquin, Nisha Masharani, Alycia Onowho, Angela Pablo, Jason Randolph
2020 J jnl
Google tech exchange: an industry-academic partnership that prepares black and latinx undergraduates for high-tech careers.
J. Comput. Sci. Coll.
April Alvarez, Legand Burge, Shameeka Emanuel, Ann Q. Gates, Sally A. Goldman, Jean Griffin, Harry Keeling, Mary Jo Madda, Bianca Okafor, Alycia Onowho, Gloria J. Washington
2017 J jnl
TAPAS: Two-pass Approximate Adaptive Sampling for Softmax.
CoRR
Yu Bai, Sally A. Goldman, Li Zhang
2010 J jnl
Experiences with active learning in CS 3.
J. Comput. Sci. Coll.
Ross T. Sowell, Yixin Chen, Jeremy Buhler, Sally A. Goldman, Cindy Grimm, Kenneth J. Goldman
2009 J jnl
Veritas: Combining Expert Opinions without Labeled Data.
Int. J. Artif. Intell. Tools
Sharath R. Cholleti, Sally A. Goldman, Avrim Blum, David G. Politte, Steven Don, Kirk E. Smith, Fred W. Prior
2008 J jnl
Image segmentation evaluation: A survey of unsupervised methods.
Comput. Vis. Image Underst.
Hui Zhang, Jason E. Fritts, Sally A. Goldman
2008 J jnl
Localized Content-Based Image Retrieval.
IEEE Trans. Pattern Anal. Mach. Intell.
Rouhollah Rahmani, Sally A. Goldman, Hui Zhang, Sharath R. Cholleti, Jason E. Fritts
2008 — conf
Veritas: Combining Expert Opinions without Labeled Data.
ICTAI (1)
Sharath R. Cholleti, Sally A. Goldman, Avrim Blum, David G. Politte, Steven Don
2006 B conf
Image Segmentation using Salient Points-Based Object Templates.
ICIP
Hui Zhang, Sally A. Goldman
2006 A* conf
Local image representations using pruned salient points with applications to CBIR.
ACM Multimedia
Hui Zhang, Rouhollah Rahmani, Sharath R. Cholleti, Sally A. Goldman
2006 B conf
MI-Winnow: A New Multiple-Instance Learning Algorithm.
ICTAI
Sharath R. Cholleti, Sally A. Goldman, Rouhollah Rahmani
2006 A* conf
MISSL: multiple-instance semi-supervised learning.
ICML
Rouhollah Rahmani, Sally A. Goldman
2006 — conf
Meta-Evaluation of Image Segmentation Using Machine Learning.
CVPR (1)
Hui Zhang, Sharath R. Cholleti, Sally A. Goldman, Jason E. Fritts
2006 — conf
Perceptual Information of Images and the Bias in Homogeneity-based Segmentation.
CVPR Workshops
Hui Zhang, Sally A. Goldman
2006 J jnl
Real-valued multiple-instance learning with queries.
J. Comput. Syst. Sci.
Daniel R. Dooly, Sally A. Goldman, Stephen Kwek
2005 — conf
A fast texture feature extraction method for region-based image segmentation.
Electronic Imaging: Image and Video Communications and Processing
Hui Zhang, Jason E. Fritts, Sally A. Goldman
2005 — conf
Localized content based image retrieval.
Multimedia Information Retrieval
Rouhollah Rahmani, Sally A. Goldman, Hui Zhang, John Krettek, Jason E. Fritts
2005 J jnl
Special Issue: Learning Theory 2003.
J. Comput. Syst. Sci.
Sally A. Goldman
2004 — conf
An entropy-based objective evaluation method for image segmentation.
Storage and Retrieval Methods and Applications for Multimedia
Hui Zhang, Jason E. Fritts, Sally A. Goldman
2004 B conf
Democratic Co-Learning.
ICTAI
Yan Zhou, Sally A. Goldman
2003 J jnl
Learning from examples with unspecified attribute values.
Inf. Comput.
Sally A. Goldman, Stephen Kwek, Stephen D. Scott
2003 J jnl
Multiple-Instance Learning of Real-Valued Geometric Patterns.
Ann. Math. Artif. Intell.
Sally A. Goldman, Stephen D. Scott
2002 A* conf
Content-Based Image Retrieval Using Multiple-Instance Learning.
ICML
Qi Zhang, Sally A. Goldman, Wei Yu, Jason E. Fritts
2002 J jnl
Multiple-Instance Learning of Real-Valued Data.
J. Mach. Learn. Res.
Daniel R. Dooly, Qi Zhang, Sally A. Goldman, Robert A. Amar
2002 J jnl
On learning unions of pattern languages and tree patterns in the mistake bound model.
Theor. Comput. Sci.
Sally A. Goldman, Stephen Kwek
2002 J jnl
Special Issue on COLT 2000 - Guest Editor's Foreword.
J. Comput. Syst. Sci.
Sally A. Goldman
2001 J jnl
Agnostic Learning of Geometric Patterns.
J. Comput. Syst. Sci.
Sally A. Goldman, Stephen Kwek, Stephen D. Scott
2001 — conf
EM-DD: An Improved Multiple-Instance Learning Technique.
NIPS
Qi Zhang, Sally A. Goldman
2001 A* conf
Multiple-Instance Learning of Real-Valued Data.
ICML
Robert A. Amar, Daniel R. Dooly, Sally A. Goldman, Qi Zhang
2001 J jnl
On-line analysis of the TCP acknowledgment delay problem.
J. ACM
Daniel R. Dooly, Sally A. Goldman, Stephen D. Scott
2001 B conf
Real-Valued Multiple-Instance Learning with Queries.
ALT
Daniel R. Dooly, Sally A. Goldman, Stephen Kwek
2000 A* conf
Enhancing Supervised Learning with Unlabeled Data.
ICML
Sally A. Goldman, Yan Zhou
2000 J jnl
Online Scheduling with Hard Deadlines.
J. Algorithms
Sally A. Goldman, Jyoti Parwatikar, Subhash Suri
2000 A* ed.
Proceedings of the Thirteenth Annual Conference on Computational Learning Theory (COLT 2000), June 28 - July 1, 2000, Palo Alto, California, USA
Nicolò Cesa-Bianchi, Sally A. Goldman
1999 J jnl
A Theoretical and Empirical Study of a Noise-Tolerant Algorithm to Learn Geometric Patterns.
Mach. Learn.
Sally A. Goldman, Stephen D. Scott
1999 — ch.
Computational Learning Theory.
Algorithms and Theory of Computation Handbook
Sally A. Goldman
1999 B conf
On Learning Unions of Pattern Languages and Tree Patterns.
ALT
Sally A. Goldman, Stephen Kwek
1998 J jnl
Exact Learning of Discretized Geometric Concepts.
SIAM J. Comput.
Nader H. Bshouty, Paul W. Goldberg, Sally A. Goldman, H. David Mathias
1998 J jnl
Learning with Unreliable Boundary Queries.
J. Comput. Syst. Sci.
Avrim Blum, Prasad Chalasani, Sally A. Goldman, Donna K. Slonim
1998 J jnl
Noise-Tolerant Distribution-Free Learning of General Geometric Concepts.
J. ACM
Nader H. Bshouty, Sally A. Goldman, H. David Mathias, Subhash Suri, Hisao Tamaki
1998 J jnl
Noise-Tolerant Parallel Learning of Geometric Concepts.
Inf. Comput.
Nader H. Bshouty, Sally A. Goldman, H. David Mathias
1998 A* conf
TCP Dynamic Acknowledgment Delay: Theory and Practice (Extended Abstract).
STOC
Daniel R. Dooly, Sally A. Goldman, Stephen D. Scott
1997 A* conf
Agnostic Learning of Geometric Patterns (Extended Abstract).
COLT
Sally A. Goldman, Stephen Kwek, Stephen D. Scott
1997 A* conf
Learning from Examples with Unspecified Attribute Values (Extended Abstract).
COLT
Sally A. Goldman, Stephen Kwek, Stephen D. Scott
1997 B conf
On-line Scheduling with Hard Deadlines (Extended Abstract).
WADS
Sally A. Goldman, Jyoti Parwatikar, Subhash Suri
1996 A* conf
A Theoretical and Empirical Study of a Noise-Tolerant Algorithm to Learn Geormetric Patterns.
ICML
Sally A. Goldman, Stephen D. Scott
1996 J jnl
Asking Questions to Minimize Errors.
J. Comput. Syst. Sci.
Nader H. Bshouty, Sally A. Goldman, Thomas R. Hancock, Sleiman Matar
1996 J jnl
Learning from a Consistently Ignorant Teacher.
J. Comput. Syst. Sci.
Michael Frazier, Sally A. Goldman, Nina Mishra, Leonard Pitt
1996 A* conf
Noise-Tolerant Distribution-Free Learning of General Geometric Concepts.
STOC
Nader H. Bshouty, Sally A. Goldman, H. David Mathias, Subhash Suri, Hisao Tamaki
1996 J jnl
PAC Learning of One-Dimensional Patterns.
Mach. Learn.
Paul W. Goldberg, Sally A. Goldman, Stephen D. Scott
1996 J jnl
Teaching a Smarter Learner.
J. Comput. Syst. Sci.
Sally A. Goldman, H. David Mathias
1995 J jnl
Can PAC Learning Algorithms Tolerate Random Attribute Noise?
Algorithmica
Sally A. Goldman, Robert H. Sloan
1995 J jnl
Guest Editor's Introduction.
Mach. Learn.
Sally A. Goldman
1995 J jnl
Learning Binary Relations Using Weighted Majority Voting.
Mach. Learn.
Sally A. Goldman, Manfred K. Warmuth
1995 A* conf
Learning with Unreliable Boundary Queries.
COLT
Avrim Blum, Prasad Chalasani, Sally A. Goldman, Donna K. Slonim
1995 A* conf
Noise-Tolerant Parallel Learning of Geometric Concepts.
COLT
Nader H. Bshouty, Sally A. Goldman, H. David Mathias
1995 J jnl
On the Complexity of Teaching.
J. Comput. Syst. Sci.
Sally A. Goldman, Michael J. Kearns
1995 J jnl
On the Sample Complexity of Weakly Learning
Inf. Comput.
Sally A. Goldman, Michael J. Kearns, Robert E. Schapire
1994 A* conf
Learning One-Dimensional Geometric Patterns Under One-Sided Random Misclassification Noise.
COLT
Paul W. Goldberg, Sally A. Goldman
1994 A* conf
Learning Unions of Boxes with Membership and Equivalence Queries.
COLT
Paul W. Goldberg, Sally A. Goldman, H. David Mathias
1994 A* conf
Learning from a Consistently Ignorant Teacher.
COLT
Michael Frazier, Sally A. Goldman, Nina Mishra, Leonard Pitt
1994 J jnl
The Power of Self-Directed Learning.
Mach. Learn.
Sally A. Goldman, Robert H. Sloan
1993 A* conf
Asking Questions to Minimize Errors.
COLT
Nader H. Bshouty, Sally A. Goldman, Thomas R. Hancock, Sleiman Matar
1993 J jnl
Exact Identification of Read-Once Formulas Using Fixed Points of Amplification Functions.
SIAM J. Comput.
Sally A. Goldman, Michael J. Kearns, Robert E. Schapire
1993 A* conf
Learning Binary Relations Using Weighted Majority Voting.
COLT
Sally A. Goldman, Manfred K. Warmuth
1993 J jnl
Learning Binary Relations and Total Orders.
SIAM J. Comput.
Sally A. Goldman, Ronald L. Rivest, Robert E. Schapire
1993 A* conf
Teaching a Smart Learner.
COLT
Sally A. Goldman, H. David Mathias
1992 A* conf
Learning
COLT
Sally A. Goldman, H. David Mathias
1991 A* conf
On the Complexity of Teaching.
COLT
Sally A. Goldman, Michael J. Kearns
1990 A* conf
Exact Identification of Circuits Using Fixed Points of Amplification Functions (Abstract).
COLT
Sally A. Goldman, Michael J. Kearns, Robert E. Schapire
1990 A* conf
Exact Identification of Circuits Using Fixed Points of Amplification Functions (Extended Abstract)
FOCS
Sally A. Goldman, Michael J. Kearns, Robert E. Schapire
1990 A* conf
On the Sample Complexity of Weak Learning.
COLT
Sally A. Goldman, Michael J. Kearns, Robert E. Schapire
1989 J jnl
A Space Efficient Greedy Triangulation Algorithm.
Inf. Process. Lett.
Sally A. Goldman
1989 A* conf
Learning Binary Relations and Total Orders (Extended Abstract)
FOCS
Sally A. Goldman, Ronald L. Rivest, Robert E. Schapire
1986 A conf
A non-iterative maximum entropy algorithm.
UAI
Sally A. Goldman, Ronald L. Rivest
1985 — conf
ISIS: Interface for a Semantic Information System.
SIGMOD Conference
Kenneth J. Goldman, Sally A. Goldman, Paris C. Kanellakis, Stanley B. Zdonik