1 citations · 2 across the 6 of their papers we have counts for
6 papers
Generative Augmentation of Raman Spectra for Glioma Classification
Andrei Iuşan, Iulian Vasile, Daria Voiculescu +4
Access to sufficiently large biomedical datasets remains a major obstacle for machine learning in Raman spectroscopy-based diagnostics. In particular, for glioma analysis, datasets…
Machine Learning for Biomedical Raman Spectroscopy: From Spectral Acquisition to Clinical Translation
Bogdan Oancea, Ana Maria Seciu-Grama, Nicoleta Siminea +10
Raman spectroscopy provides label-free, chemically specific characterization of biological systems and has become an important tool for cancer diagnosis, molecular subtyping, micro…
Urban Green Index estimation based on data collected by remote sensing for Romanian cities
Marian Necula, Tudorel Andrei, Bogdan Oancea +1
The modernization of offi cial statistics involves the use of new data sources, such as data collected through remote sensing. The document contains a description of how an urban g…
Use of Simulation Models for the Development of a Statistical Production Framework for Mobile Network Data with the simutils Package
B. Oancea, D. Salgado, S. Barragan +1
We propose to use agent-based simulation models for the development of statistical methods in Official Statistics, especially in relation with the new digital data sources. We pres…
A set of R packages to estimate population counts from mobile phone data
Bogdan Oancea, David Salgado, Luis Sanguiao Sande +1
In this paper, we describe the software implementation of the methodological framework designed to incorporate mobile phone data into the current production chain of official stati…
On new data sources for the production of official statistics
David Salgado, Bogdan Oancea
In the past years we have witnessed the rise of new data sources for the potential production of official statistics, which, by and large, can be classified as survey, administrati…