Search Results - "Leonarduzzi, R."
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1
Deep Learning Abilities to Classify Intricate Variations in Temporal Dynamics of Multivariate Time Series
Published in ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (01-05-2020)“…The aim of this work is to investigate the ability of deep learning (DL) architectures to learn temporal dynamics in multivariate time series. The methodology…”
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Conference Proceeding -
2
Extending multifractal analysis to negative regularity: P-exponents and P-leaders
Published in 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (01-05-2014)“…Scale invariance is a widely used concept to analyze real-world data from many different applications and multifractal analysis has become the standard…”
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Conference Proceeding -
3
Dcgan for the Synthesis of Multivariate Multifractal Textures: How do We Know it Works?
Published in 2020 IEEE 30th International Workshop on Machine Learning for Signal Processing (MLSP) (01-09-2020)“…Deep Learning is nowadays widely used for several tasks in image processing. Notably, it has been massively used for image synthesis, mostly however with…”
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Conference Proceeding -
4
Intrapartum fetal heart rate classification from trajectory in Sparse SVM feature space
Published in 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (01-01-2015)“…Intrapartum fetal heart rate (FHR) constitutes a prominent source of information for the assessment of fetal reactions to stress events during delivery. Yet,…”
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Conference Proceeding Journal Article -
5
P-leader multifractal analysis and sparse SVM for intrapartum fetal acidosis detection
Published in 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (01-01-2015)“…Interpretation and analysis of intrapartum fetal heart rate, enabling early detection of fetal acidosis, remains a challenging signal processing task. Among…”
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Conference Proceeding Journal Article -
6
p-exponent and p-leaders, Part I: Negative pointwise regularity
Published in Physica A (15-04-2016)“…Multifractal analysis aims to characterize signals, functions, images or fields, via the fluctuations of their local regularity along time or space, hence…”
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Journal Article -
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p-exponent and p-leaders, Part II: Multifractal analysis. Relations to detrended fluctuation analysis
Published in Physica A (15-04-2016)“…Multifractal analysis studies signals, functions, images or fields via the fluctuations of their local regularity along time or space, which capture crucial…”
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Journal Article -
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Assessing Cross-Dependencies Using Bivariate Multifractal Analysis
Published in 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (01-04-2018)“…Multifractal analysis, notably with its recent wavelet-leader based formulation, has nowadays become a reference tool to characterize scale-free temporal…”
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Conference Proceeding -
9
exponent and -leaders, Part II: Multifractal analysis. Relations to detrended fluctuation analysis
Published in Physica A (15-04-2016)“…Multifractal analysis studies signals, functions, images or fields via the fluctuations of their local regularity along time or space, which capture crucial…”
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Journal Article -
10
exponent and -leaders, Part I: Negative pointwise regularity
Published in Physica A (15-04-2016)“…Multifractal analysis aims to characterize signals, functions, images or fields, via the fluctuations of their local regularity along time or space, hence…”
Get full text
Journal Article -
11
P-leader multifractal analysis for text type identification
Published in 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (01-03-2017)“…Among many research efforts devoted to automated art investigations, the problem of quantification of literary style remains current. Meanwhile, linguists and…”
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Conference Proceeding -
12
Multifractal Characterization for Bivariate Data
Published in 2018 26th European Signal Processing Conference (EUSIPCO) (01-09-2018)“…Multifractal analysis is a reference tool for the analysis of data based on local regularity, which has been proven useful in an increasing number of…”
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Conference Proceeding -
13
Scale-Free Functional Connectivity Analysis from Source Reconstructed MEG Data
Published in 2018 26th European Signal Processing Conference (EUSIPCO) (01-09-2018)“…Scale-free dynamics, quantified as power law spectra from magnetoencepholagraphic (MEG) recordings of Human brain activity, may play an important role in…”
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Conference Proceeding -
14
Quality of Italian Istrian Milk lamb meat. Influence of carcass weight and feeding system [Croatia]
Published in Italian journal of animal science (01-01-2002)“…The Istrian Milk sheep is an endangered breed of the Pramenka group raised in the North-Adriatic Karst region. Carcass and meat characteristics of 46 suckling,…”
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Journal Article