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Frances R. Anderson
Observed names:
Anderson, Frances,
F.R. Anderson,
Frances Anderson,
Frances R Anderson
Institution:
Lourdes Hospital
Observed institutions:
Our Lady of Lourdes Medical Center,
Lourdes Hospital
OpenAlex ID:
A5111488490
New results in breast cancer classification obtained from an evolutionary computation/adaptive boosting hybrid using mammogram and history data
2002
·
W.H. Land
, T. Masters
, et al.
·
IEEE Conference on Soft Computing in Industrial Applications (SMCia)
·
18
Home Healthcare Nurses?? Knowledge and Attitudes Toward Suicide
1995
·
Wen-Ling wang
, Frances R. Anderson
, et al.
·
Home Healthcare Now
·
12
Breast cancer computer aided diagnosis (CAD) using a recently developed SVM/GRNN Oracle hybrid
2004
·
W.H. Land
, L. Wong
, et al.
·
Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics
·
11
Engaging Parents in Reproductive Health Education: Lessons Learned Implementing a Parent Designed, Peer-Led Educational Model for Parents of Preteens
2012
·
Cherie L. Wooden
, Frances R. Anderson
·
American Journal of Sexuality Education
·
6
Finding HIPAA in Your Soup
2007
·
Frances Anderson
·
AJN American Journal of Nursing
·
4
Data fusion of several support-vector-machine breast-cancer diagnostic paradigms using a GRNN oracle
2004
·
Walker H. Land, Jr.
, Lut Wong
, et al.
·
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
·
4
Performance tradeoff between evolutionary computation (EC)/adaptive boosting (AB) hybrid and support vector machine breast cancer classification paradigms
2003
·
W.H. Land
, M. Bryden
, et al.
·
IEEE Congress on Evolutionary Computation (CEC)
·
4
When a minute seemslike a millennium
1999
·
Jennifer McElligott Carley
, Frances R. Anderson
·
Journal of PeriAnesthesia Nursing
·
4
Biosurgicals and the Minimally Invasive Gynecologic Surgery (MIGS) Surgeon.
2016
·
James Dana Kondrup
, Frances R Anderson
, et al.
·
PubMed
·
3
Breast cancer classification improvements using a new kernel function with evolutionary-programming-configured support vector machines
2004
·
Walker H. Land, Jr.
, Daniel W. McKee
, et al.
·
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
·
3
Using Computational Intelligence for Computer-Aided Diagnosis of Screen-Film Mammograms
2010
·
Walker Land
, Daniel McKee
, et al.
·
SPIE eBooks
·
2
An Update on the Use of Barbed Suture in Minimally Invasive Gynecological Surgery (MIGS).
2016
·
James Dana Kondrup
, Frances R Anderson
·
PubMed
·
1
Applying knowledge engineering and representation methods to improve support vector machine and multivariate probabilistic neural network CAD performance
2005
·
Walker H. Land, Jr.
, Frances Anderson
, et al.
·
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
·
1
New results in computer-aided diagnosis (CAD) of breast cancer using a recently developed SVM/GRNN Oracle hybrid
2004
·
Walker H. Land, Jr.
, Lut Wong
, et al.
·
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
·
1
Improving the predictive value of mammography using a specialized evolutionary programming hybrid and fitness functions
2003
·
Walker H. Land, Jr.
, Daniel W. McKee
, et al.
·
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
·
1
Now You See It: Using Angled Laparoscopes in Minimally Invasive Gynecologic Surgery.
2015
·
James Dana Kondrup
, Frances R Anderson
·
PubMed
Configuring an Evolutionary Programming / Adaptive Boosting (EP/AB) Hybrid as a Modular AI System to Improve Three Layer MLFN Breast Cancer CAD Performance
2006
·
Land, Walker H.
, Heine, John
, et al.
·
ASME Press eBooks
Integrating knowledge representation/engineering, the multivariant PNN, and machine learning to improve breast cancer diagnosis
2005
·
Walker H. Land, Jr.
, Mark J. Embrechts
, et al.
·
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
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Works count:
18
Citation count:
75
H-index:
4
I10-index:
3
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