Dan Margolis

According to our database, Dan Margolis authored at least 15 papers between 2009 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

DeepMartNet - A Martingale Based Deep Neural Network Learning Method for Dirichlet BVP and Eigenvalue Problems of Elliptic PDEs.

Wei Cai, Andrew He, Daniel Margolis

CoRR, 2023

2021

Three-dimensional prostate CT segmentation through fine-tuning of a pre-trained neural network using no reference labeling.

Kayla Caughlin, Maysam Shahedi, Jonathan Shoag, Christopher Barbieri, Daniel Margolis, Baowei Fei

Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021

2020

Deep Neural Network (DNN) for Water/Fat Separation: Supervised Training, Unsupervised Training, and No Training.

Ramin Jafari, Pascal Spincemaille, Jinwei Zhang, Thanh D. Nguyen, Martin R. Prince, Xianfu Luo, Junghun Cho, Daniel Margolis, Yi Wang

CoRR, 2020

2018

SMTP MTA Strict Transport Security (MTA-STS).

Daniel Margolis, Mark Risher, Binu Ramakrishnan, Alexander Brotman, Janet Jones

RFC, September, 2018

SMTP TLS Reporting.

Daniel Margolis, Alexander Brotman, Binu Ramakrishnan, Janet Jones, Mark Risher

RFC, September, 2018

2017

Data Breaches, Phishing, or Malware?: Understanding the Risks of Stolen Credentials.

Kurt Thomas, Frank Li, Ali Zand, Jacob Barrett, Juri Ranieri, Luca Invernizzi, Yarik Markov, Oxana Comanescu, Vijay Eranti, Angelika Moscicki, Daniel Margolis, Vern Paxson, Elie Bursztein

Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security, 2017

2014

Handcrafted Fraud and Extortion: Manual Account Hijacking in the Wild.

Elie Bursztein, Borbala Benko, Daniel Margolis, Tadek Pietraszek, Andy Archer, Allan Aquino, Andreas Pitsillidis, Stefan Savage

Proceedings of the 2014 Internet Measurement Conference, 2014

2013

Investigating the GRNN Oracle as a Method for Combining Multiple Predictive Models of Colon Cancer Recurrence from Gene Microarrays.

Aaron S. Campbell, Walker H. Land Jr., Dan Margolis, Ravi Mathur, J. David Schaffer

Proceedings of the Complex Adaptive Systems 2013 Conference, 2013

2012

Tissue segmentation and classification using graph-based unsupervised clustering.

Daniel Margolis, Alberto Santamaría-Pang, Jens Rittscher

Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

2011

A complex adaptive system using statistical learning theory as an inline preprocess for clinical survival analysis.

Dan Margolis, Walker H. Land Jr., Ronald Gottlieb, Xingye Qiao

Proceedings of the Complex Adaptive Systems 2011 Conference, 2011

A new tool for survival analysis: evolutionary programming/evolutionary strategies (EP/ES) support vector regression hybrid using both censored / non-censored (event) data.

Walker H. Land Jr., Xingye Qiao, Dan Margolis, Ronald Gottlieb

Proceedings of the Complex Adaptive Systems 2011 Conference, 2011

Kernelized partial least squares for feature reduction and classification of gene microarray data.

Walker H. Land Jr., Xingye Qiao, Daniel Margolis, William S. Ford, Christopher T. Paquette, Joseph F. Perez-Rogers, Jeffrey A. Borgia, Jack Y. Yang, Youping Deng

BMC Syst. Biol., 2011

2010

A kernel approach for ensemble decision combinations with two-view mammography applications.

Walker H. Land Jr., Dan Margolis, Maria Kallergi, John J. Heine

Int. J. Funct. Informatics Pers. Medicine, 2010

Improving CT prediction of treatment response in patients with metastatic colorectal carcinoma using statistical learning.

Walker H. Land Jr., Dan Margolis, Ronald Gottlieb, Jack Y. Yang, Elizabeth A. Krupinski

Int. J. Comput. Biol. Drug Des., 2010

2009

Reproducibility of Laplacian Wall Thickness Measurements of the Gallbladder with Varying CT Slice Thickness.

Mithun N. Prasad, Matthew S. Brown, Chiayi Ni, Daniel Margolis, Michael Douek, Sundaresan Raman, David Lu, Jonathan G. Goldin, Simon K. Warfield

J. Signal Process. Syst., 2009