David M. Rubin

21 papers B 3C 1Journal 12Unranked 5
YearRankTypeTitle / Venue / Authors
2024 — conf
Novel Estimators for the Number of Susceptible Individuals in SIR Models of Infectious Epidemics.
APSIPA
Michaël Antonie van Wyk, André Martin McDonald, David M. Rubin, Fangfang Zhang
2021 J jnl
Evaluating the Clinical Realism of Synthetic Chest X-Rays Generated Using Progressively Growing GANs.
SN Comput. Sci.
Bradley Segal, David M. Rubin, Grace Rubin, Adam Pantanowitz
2021 — conf
Extracting transmission and recovery parameters for an adaptive global system dynamics model of the COVID-19 pandemic.
AFRICON
Craig S. Carlson, David M. Rubin, Vilma Heikkilä, Michiel Postema
2021 J jnl
Threshold-based outer lip segmentation using support vector regression.
Signal Image Video Process.
Ashley D. Gritzman, Michiel Postema, David M. Rubin, Vered Aharonson
2020 J jnl
Addressing the eye-fixation problem in gaze tracking for human computer interface using the Vestibulo-ocular Reflex.
CoRR
Adam Pantanowitz, Kimoon Kim, Chelsey Chewins, Isabel N. K. Tollman, David M. Rubin
2020 J jnl
Synthesising clinically realistic Chest X-rays using Generative Adversarial Networks.
CoRR
Bradley Segal, David M. Rubin, Grace Rubin, Adam Pantanowitz
2019 J jnl
Estimation of Body Mass Index from Photographs using Deep Convolutional Neural Networks.
CoRR
Adam Pantanowitz, Emmanuel Cohen, Philippe Gradidge, Nigel Crowther, Vered Aharonson, Benjamin Rosman, David M. Rubin
2019 — conf
Toward the Design of a Low Cost, Adaptive Hearing Aid.
AFRICON
Kayla-Jade Butkow, Kelvin da Silva, David M. Rubin
2016 J jnl
Automatic computation of histogram threshold for lip segmentation using feedback of shape information.
Signal Image Video Process.
Ashley D. Gritzman, Vered Aharonson, David M. Rubin, Adam Pantanowitz
2015 J jnl
Comparison of colour transforms used in lip segmentation algorithms.
Signal Image Video Process.
Ashley D. Gritzman, David M. Rubin, Adam Pantanowitz
2015 — conf
Threshold-based Lip Segmentation using Feedback of Shape Information.
FAA
Ashley D. Gritzman, Vered Aharonson, David M. Rubin, Adam Pantanowitz
2015 J jnl
Towards Automated Three-Dimensional Tracking of Nephrons through Stacked Histological Image Sets.
Comput. Math. Methods Medicine
Charita Bhikha, Arne Andreasen, Erik Ilso Christensen, Robyn F. R. Letts, Adam Pantanowitz, David M. Rubin, Jesper Skovhus Thomsen, Xiao-Yue Zhai
2010 — conf
The Fuzzy Gene Filter: An Adaptive Fuzzy Inference System for Expression Array Feature Selection.
IEA/AIE (3)
Meir Perez, David M. Rubin, Tshilidzi Marwala, Lesley E. Scott, Jonathan Featherston, Wendy S. Stevens
2009 C conf
Differentially Expressed Gene Identification Based on Separability Index.
ICMLA
Meir Perez, Jonathan Featherston, David M. Rubin, Tshilidzi Marwala, Lesley E. Scott, Wendy S. Stevens
2008 B conf
Simulation of retinal function A fuzzy-linear approach.
SMC
Meir Perez, Robert Oscar Davidson, David M. Rubin, Tshilidzi Marwala
2007 J jnl
An Adaptive Strategy for the Classification of G-Protein Coupled Receptors
CoRR
Shakir Mohamed, David M. Rubin, Tshilidzi Marwala
2007 J jnl
Automatic Detection of Pulmonary Embolism using Computational Intelligence
CoRR
Simon Scurrell, Tshilidzi Marwala, David M. Rubin
2007 J jnl
Enhancement of Noisy Planar Nuclear Medicine Images using Mean Field Annealing
CoRR
D. L. Falk, David M. Rubin, Tshilidzi Marwala
2007 B conf
Incremental Learning for Classification of Protein Sequences.
IJCNN
Shakir Mohamed, David M. Rubin, Tshilidzi Marwala
2006 J jnl
Automated image processing method for the diagnosis and classification of malaria on thin blood smears.
Medical Biol. Eng. Comput.
Nicholas E. Ross, Charles J. Pritchard, David M. Rubin, Adriano G. Dusé
2006 B conf
Multi-class Protein Sequence Classification Using Fuzzy ARTMAP.
SMC
Shakir Mohamed, David M. Rubin, Tshilidzi Marwala