[HTML][HTML] Deep generative molecular design reshapes drug discovery
Recent advances and accomplishments of artificial intelligence (AI) and deep generative
models have established their usefulness in medicinal applications, especially in drug …
models have established their usefulness in medicinal applications, especially in drug …
Communities, modules and large-scale structure in networks
MEJ Newman - Nature physics, 2012 - nature.com
Networks, also called graphs by mathematicians, provide a useful abstraction of the
structure of many complex systems, ranging from social systems and computer networks to …
structure of many complex systems, ranging from social systems and computer networks to …
COVID-19 cough classification using machine learning and global smartphone recordings
We present a machine learning based COVID-19 cough classifier which can discriminate
COVID-19 positive coughs from both COVID-19 negative and healthy coughs recorded on a …
COVID-19 positive coughs from both COVID-19 negative and healthy coughs recorded on a …
Identification of core-periphery structure in networks
Many networks can be usefully decomposed into a dense core plus an outlying, loosely
connected periphery. Here we propose an algorithm for performing such a decomposition …
connected periphery. Here we propose an algorithm for performing such a decomposition …
[HTML][HTML] Detection of COVID-19 from voice, cough and breathing patterns: Dataset and preliminary results
V Despotovic, M Ismael, M Cornil, R Mc Call… - Computers in Biology …, 2021 - Elsevier
COVID-19 heavily affects breathing and voice and causes symptoms that make patients'
voices distinctive, creating recognizable audio signatures. Initial studies have already …
voices distinctive, creating recognizable audio signatures. Initial studies have already …
[HTML][HTML] Auto-gnn: Neural architecture search of graph neural networks
Graph neural networks (GNNs) have been widely used in various graph analysis tasks. As
the graph characteristics vary significantly in real-world systems, given a specific scenario …
the graph characteristics vary significantly in real-world systems, given a specific scenario …
AI-Based human audio processing for COVID-19: A comprehensive overview
Abstract The Coronavirus (COVID-19) pandemic impelled several research efforts, from
collecting COVID-19 patients' data to screening them for virus detection. Some COVID-19 …
collecting COVID-19 patients' data to screening them for virus detection. Some COVID-19 …
[HTML][HTML] MangoLeafBD: A comprehensive image dataset to classify diseased and healthy mango leaves
Agriculture is one of the few remaining sectors that is yet to receive proper attention from the
machine learning community. The importance of datasets in the machine learning discipline …
machine learning community. The importance of datasets in the machine learning discipline …
[HTML][HTML] iPiDA-GCN: Identification of piRNA-disease associations based on Graph Convolutional Network
J Hou, H Wei, B Liu - PLOS Computational Biology, 2022 - journals.plos.org
Motivation Piwi-interacting RNAs (piRNAs) play a critical role in the progression of various
diseases. Accurately identifying the associations between piRNAs and diseases is important …
diseases. Accurately identifying the associations between piRNAs and diseases is important …
[HTML][HTML] Heterogeneous multi-layered network model for omics data integration and analysis
Advances in next-generation sequencing and high-throughput techniques have enabled the
generation of vast amounts of diverse omics data. These big data provide an unprecedented …
generation of vast amounts of diverse omics data. These big data provide an unprecedented …