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Compressing Massive Sequencing Data with Multiple Attribute Tree
(2019-12-13)
The significant drop in DNA Sequencing costs caused by Next-Generation Sequencing has led to the production of massive amounts of raw sequencing data. This data is stored in FASTQ files, which are text files containing a ...
Evaluating GAM-Like Neural Network Architectures for Interpretable Machine Learning
(2019-05)
In many machine learning applications, interpretability is of the utmost importance. Artificial intelligence is proliferating, but before you entrust your finances, your well-being, or even your life to a machine, you’d ...
Applied High-Order Singular Value Decomposition for Weight Compression and Expansion in Deep Neural Networks
(2019-08)
Complex deep learning objectives such as object detection and saliency, semantic segmentation, sequence-to-sequence translation, and others have given rise to training processes requiring increasing amounts of time and ...
Addressing Outdoor Throughput Sensitivity for Mobile Vehicles by Enhancing the VMESH MAC Protocol
(2019-05)
To provide safe and efficient transportation, Vehicular Ad-Hoc Networks (VANETs) allow for the communication between a vehicle to another vehicle and for the communication between vehicles and stations near the road. As ...
CIGARCoil: A New Algorithm for the Compression of DNA Sequencing Data
(2019-05-10)
DNA sequencing machines produce tens of thousands to hundreds of millions of reads. Each read
consists of letters from the alphabet X= {A, T, C, G, N} and varies in length between 30 to 120 characters
and beyond. The DNA ...