1.1k citations · 1.7k across the 24 of their papers we have counts for
25 papers
Improving embedding of graphs with missing data by soft manifolds
Andrea Marinoni, Pietro Lio', Alessandro Barp +2
Embedding graphs in continous spaces is a key factor in designing and developing algorithms for automatic information extraction to be applied in diverse tasks (e.g., learning, inf…
Electrode Selection for Noninvasive Fetal Electrocardiogram Extraction using Mutual Information Criteria
Reza Sameni, Frédéric Vrins, Fabienne Parmentier +5
Blind source separation (BSS) techniques have revealed to be promising approaches for, among other, biomedical signal processing applications. Specifically, for the noninvasive ext…
A graph representation based on fluid diffusion model for data analysis: theoretical aspects and enhanced community detection
Andrea Marinoni, Christian Jutten, Mark Girolami
Representing data by means of graph structures identifies one of the most valid approach to extract information in several data analysis applications. This is especially true when…
Temporally Nonstationary Component Analysis; Application to Noninvasive Fetal Electrocardiogram Extraction
Fahimeh Jamshidian-Tehrani, Reza Sameni, Christian Jutten
Objective: Mixtures of temporally nonstationary signals are very common in biomedical applications. The nonstationarity of the source signals can be used as a discriminative proper…
A Hypothesis Testing Approach to Nonstationary Source Separation
Reza Sameni, Christian Jutten
The extraction of nonstationary signals from blind and semi-blind multivariate observations is a recurrent problem. Numerous algorithms have been developed for this problem, which…
Enhancing ensemble learning and transfer learning in multimodal data analysis by adaptive dimensionality reduction
Andrea Marinoni, Saloua Chlaily, Eduard Khachatrian +4
Modern data analytics take advantage of ensemble learning and transfer learning approaches to tackle some of the most relevant issues in data analysis, such as lack of labeled data…