32 citations · 53 across the 3 of their papers we have counts for
6 papers
High Speed Cognitive Domain Ontologies for Asset Allocation Using Loihi Spiking Neurons
Chris Yakopcic, Nayim Rahman, Tanvir Atahary +3
Cognitive agents are typically utilized in autonomous systems for automated decision making. These systems interact at real time with their environment and are generally heavily po…
Skin Cancer Segmentation and Classification with NABLA-N and Inception Recurrent Residual Convolutional Networks
Md Zahangir Alom, Theus Aspiras, Tarek M. Taha +1
In the last few years, Deep Learning (DL) has been showing superior performance in different modalities of biomedical image analysis. Several DL architectures have been proposed fo…
Advanced Deep Convolutional Neural Network Approaches for Digital Pathology Image Analysis: a comprehensive evaluation with different use cases
Md Zahangir Alom, Theus Aspiras, Tarek M. Taha +4
Deep Learning (DL) approaches have been providing state-of-the-art performance in different modalities in the field of medical imagining including Digital Pathology Image Analysis…
Handwritten Bangla Digit Recognition Using Deep Learning
Md Zahangir Alom, Paheding Sidike, Tarek M. Taha +1
In spite of the advances in pattern recognition technology, Handwritten Bangla Character Recognition (HBCR) (such as alpha-numeric and special characters) remains largely unsolved…
High Throughput Neural Network based Embedded Streaming Multicore Processors
Raqibul Hasan, Tarek M. Taha, Chris Yakopcic +1
With power consumption becoming a critical processor design issue, specialized architectures for low power processing are becoming popular. Several studies have shown that neural n…
A Reconfigurable Low Power High Throughput Architecture for Deep Network Training
Raqibul Hasan, Tarek Taha
General purpose computing systems are used for a large variety of applications. Extensive supports for flexibility in these systems limit their energy efficiencies. Neural networks…