15 citations · 32 across the 6 of their papers we have counts for
6 papers
EnzyNet: enzyme classification using 3D convolutional neural networks on spatial representation
Afshine Amidi, Shervine Amidi, Dimitrios Vlachakis +3
During the past decade, with the significant progress of computational power as well as ever-rising data availability, deep learning techniques became increasingly popular due to t…
On converting community detection algorithms for fuzzy graphs in Neo4j
Georgios Drakopoulos, Andreas Kanavos, Christos Makris +1
An essential feature of large scale free graphs, such as the Web, protein-to-protein interaction, brain connectivity, and social media graphs, is that they tend to form recursive c…
The Storage And Analytics Potential Of HBase Over The Cloud: A Survey
Georgios Drakopoulos, Andreas Kanavos, Christos Makris +1
Apache HBase, a mainstay of the emerging Hadoop ecosystem, is a NoSQL key-value and column family hybrid database which, unlike a traditional RDBMS, is intentionally designed to sc…
A Graph Framework for Multimodal Medical Information Processing
Georgios Drakopoulos, Vasileios Megalooikonomou
Multimodal medical information processing is currently the epicenter of intense interdisciplinary research, as proper data fusion may lead to more accurate diagnoses. Moreover, mul…
Large Graph Models: A Review
Georgios Drakopoulos, Stavros Kontopoulos, Christos Makris +1
Large graphs can be found in a wide array of scientific fields ranging from sociology and biology to scientometrics and computer science. Their analysis is by no means a trivial ta…
Protein signatures using electrostatic molecular surfaces in harmonic space
C. Sofia Carvalho, Dimitrios Vlachakis, Georgia Tsiliki +2
We developed a novel method based on the Fourier analysis of protein molecular surfaces to speed up the analysis of the vast structural data generated in the post-genomic era. This…