9 citations · 14 across the 5 of their papers we have counts for
5 papers
A Novel Evolutionary Algorithm for Hierarchical Neural Architecture Search
Aristeidis Christoforidis, George Kyriakides, Konstantinos Margaritis
In this work, we propose a novel evolutionary algorithm for neural architecture search, applicable to global search spaces. The algorithm's architectural representation organizes t…
An Introduction to Neural Architecture Search for Convolutional Networks
George Kyriakides, Konstantinos Margaritis
Neural Architecture Search (NAS) is a research field concerned with utilizing optimization algorithms to design optimal neural network architectures. There are many approaches conc…
Towards automated neural design: An open source, distributed neural architecture research framework
George Kyriakides, Konstantinos Margaritis
NORD (Neural Operations Research & Development) is an open source distributed deep learning architectural research framework, based on PyTorch, MPI and Horovod. It aims to make res…
Parallel and Distributed Collaborative Filtering: A Survey
Efthalia Karydi, Konstantinos G. Margaritis
Collaborative filtering is amongst the most preferred techniques when implementing recommender systems. Recently, great interest has turned towards parallel and distributed impleme…
A Hybrid Parallel Implementation of the Aho-Corasick and Wu-Manber Algorithms Using NVIDIA CUDA and MPI Evaluated on a Biological Sequence Database
Charalampos S. Kouzinopoulos, John-Alexander M. Assael, Themistoklis K. Pyrgiotis +1
Multiple matching algorithms are used to locate the occurrences of patterns from a finite pattern set in a large input string. Aho-Corasick and Wu-Manber, two of the most well know…