Giuseppe Giovanni Calvi

Orcid: 0000-0003-0607-1400

According to our database1, Giuseppe Giovanni Calvi authored at least 13 papers between 2016 and 2022.

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

Timeline

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Links

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Bibliography

2022
Accelerating Tensor Contraction Products via Tensor-Train Decomposition [Tips & Tricks].
IEEE Signal Process. Mag., 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

Reducing Computational Complexity of Tensor Contractions via Tensor-Train Networks.
CoRR, 2021

Tensor-Train Recurrent Neural Networks for Interpretable Multi-Way Financial Forecasting.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
Tensor Networks for Latent Variable Analysis: Higher Order Canonical Polyadic Decomposition.
IEEE Trans. Neural Networks Learn. Syst., 2020

2019
Tucker Tensor Layer in Fully Connected Neural Networks.
CoRR, 2019

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

Support Tensor Machine for Financial Forecasting.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Common and Individual Feature Extraction Using Tensor Decompositions: a Remedy for the Curse of Dimensionality?
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Feature Fusion via Tensor Network Summation.
Proceedings of the 26th European Signal Processing Conference, 2018

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

2016
Modelling economic stress through financial systemic balance index.
Proceedings of the 2016 IEEE International Conference on Digital Signal Processing, 2016


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