Bruno Scalzo Dees

Orcid: 0000-0003-2527-5492

According to our database1, Bruno Scalzo Dees authored at least 31 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
A class of doubly stochastic shift operators for random graph signals and their boundedness.
Neural Networks, January, 2023

2022
Dynamic Portfolio Cuts: A Spectral Approach to Graph-Theoretic Diversification.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
A lower bound on the tensor rank based on its maximally square matrix unfolding.
Signal Process., 2021

HOTTBOX: Higher Order Tensor ToolBOX.
CoRR, 2021

Graph Theory for Metro Traffic Modelling.
Proceedings of the International Joint Conference on Neural Networks, 2021

Nonstationary Portfolios: Diversification in the Spectral Domain.
Proceedings of the IEEE International Conference on Acoustics, 2021

Robust PCA Through Maximum Correntropy Power Iterations.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Analysis of Least Stochastic Entropy Adaptive Filters for Noncircular Gaussian Signals.
IEEE Trans. Circuits Syst. II Express Briefs, 2020

Data Analytics on Graphs Part III: Machine Learning on Graphs, from Graph Topology to Applications.
Found. Trends Mach. Learn., 2020

Data Analytics on Graphs Part II: Signals on Graphs.
Found. Trends Mach. Learn., 2020

Data Analytics on Graphs Part I: Graphs and Spectra on Graphs.
Found. Trends Mach. Learn., 2020

Vertex-frequency graph signal processing: A comprehensive review.
Digit. Signal Process., 2020

Graph Signal Processing - Part III: Machine Learning on Graphs, from Graph Topology to Applications.
CoRR, 2020

A Probabilistic Beat-to-Beat Filtering Model for Continuous and Accurate Blood Pressure Estimation.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

A Low-Dimensionality Method for Data-Driven Graph Learning.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Portfolio Cuts: A Graph-Theoretic Framework to Diversification.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Multiple-Model Adaptive Estimation for 3-D and 4-D Signals: A Widely Linear Quaternion Approach.
IEEE Trans. Neural Networks Learn. Syst., 2019

A class of multidimensional NIPALS algorithms for quaternion and tensor partial least squares regression.
Signal Process., 2019

Graph Theory and Metro Traffic Modelling.
CoRR, 2019

A Statistically Identifiable Model for Tensor-Valued Gaussian Random Variables.
CoRR, 2019

Robust Principal Component Analysis Based On Maximum Correntropy Power Iterations.
CoRR, 2019

Graph Signal Processing - Part II: Processing and Analyzing Signals on Graphs.
CoRR, 2019

Unitary Shift Operators on a Graph.
CoRR, 2019

A Unifying Analysis of Shift Operators on a Graph.
CoRR, 2019

Vertex-Frequency Graph Signal Processing.
CoRR, 2019

Graph Signal Processing - Part I: Graphs, Graph Spectra, and Spectral Clustering.
CoRR, 2019

Tensor Decompositions and Practical Applications: A Hands-on Tutorial.
Proceedings of the Recent Trends in Learning From Data, 2019

Simultaneous DFT and IDFT through Widely Linear CLMS.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Correntropy-Based Adaptive Filtering of Noncircular Complex Data.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Complementary Complex-Valued Spectrum for Real-Valued Data: Real Time Estimation of the Panorama Through Circularity-Preserving Dft.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Text Mining - A Key Lynchpin in the Investment Process: A Survey.
Proceedings of the Applications of Intelligent Systems, 2018


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