71 citations · 209 across the 28 of their papers we have counts for
6 papers · 1 filter
SquishedNets: Squishing SqueezeNet further for edge device scenarios via deep evolutionary synthesis
Mohammad Javad Shafiee, Francis Li, Brendan Chwyl +1
While deep neural networks have been shown in recent years to outperform other machine learning methods in a wide range of applications, one of the biggest challenges with enabling…
Discovery Radiomics via Deep Multi-Column Radiomic Sequencers for Skin Cancer Detection
Mohammad Javad Shafiee, Alexander Wong
While skin cancer is the most diagnosed form of cancer in men and women, with more cases diagnosed each year than all other cancers combined, sufficiently early diagnosis results i…
Fast YOLO: A Fast You Only Look Once System for Real-time Embedded Object Detection in Video
Mohammad Javad Shafiee, Brendan Chywl, Francis Li +1
Object detection is considered one of the most challenging problems in this field of computer vision, as it involves the combination of object classification and object localizatio…
The Mating Rituals of Deep Neural Networks: Learning Compact Feature Representations through Sexual Evolutionary Synthesis
Audrey Chung, Mohammad Javad Shafiee, Paul Fieguth +1
Evolutionary deep intelligence was recently proposed as a method for achieving highly efficient deep neural network architectures over successive generations. Drawing inspiration f…
Exploring the Imposition of Synaptic Precision Restrictions For Evolutionary Synthesis of Deep Neural Networks
Mohammad Javad Shafiee, Francis Li, Alexander Wong
A key contributing factor to incredible success of deep neural networks has been the significant rise on massively parallel computing devices allowing researchers to greatly increa…
Synthesizing Deep Neural Network Architectures using Biological Synaptic Strength Distributions
A. H. Karimi, M. J. Shafiee, A. Ghodsi +1
In this work, we perform an exploratory study on synthesizing deep neural networks using biological synaptic strength distributions, and the potential influence of different distri…