Paper Title Number 5, with math \(E=mc^2\)
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SoundsLike: A multi-approach text-classifier which uses phonological features to determine word sentiment and similarity; Python, OpenNMT
NLP with Disaster Tweets: A neural text-classifier to help first responders determine if tweets about a disaster are real or fictitious; Python, PyTorch
GhostOS: A POSIX-compliant kernel and Operating System, as well as a small game, to run on RISC-V architecture; C, Assembly, Docker
Minerva: An iOS application utilizing Apple’s CoreML framework to enable deployment of GPU-based TensorFlow Style Transfer models onto mobile devices for CPU-based inference; Swift, TensorFlow, CoreML
Parallel Optimizations to Genetic Algorithm solutions for the Chinese Postman Problem: An efficient cache-based optimization for a GPU-accelerated Genetic Algorithm-based solution to the k-Chinese Postman problem, with a resulting 2.5x speedup; Python, C++, CUDA
Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA, USA
Talk at London School of Testing, London, UK
Tutorial at UC-Berkeley Institute for Testing Science, Berkeley, CA, USA
Talk at UC San Francisco, Department of Testing, San Francisco, CA, USA