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ORCIDGiuseppe Giovanni Calvi
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2020 – today
- 2022
[j3]Ilya Kisil, Giuseppe Giovanni Calvi, Kriton Konstantinidis, Yao Lei Xu, Danilo P. Mandic:
Accelerating Tensor Contraction Products via Tensor-Train Decomposition [Tips & Tricks]. IEEE Signal Process. Mag. 39(5): 63-70 (2022)- 2021
- [b1]Giuseppe Giovanni Calvi:
Higher order tensor decompositions for machine intelligence. Imperial College London, UK, 2021 - [j2]Giuseppe Giovanni Calvi, Bruno Scalzo Dees, Danilo P. Mandic:
A lower bound on the tensor rank based on its maximally square matrix unfolding. Signal Process. 180: 107862 (2021) - [c7]Yao Lei Xu, Giuseppe Giovanni Calvi, Danilo P. Mandic:
Tensor-Train Recurrent Neural Networks for Interpretable Multi-Way Financial Forecasting. IJCNN 2021: 1-5 - [i5]Yao Lei Xu, Giuseppe Giovanni Calvi, Danilo P. Mandic:
Tensor-Train Recurrent Neural Networks for Interpretable Multi-Way Financial Forecasting. CoRR abs/2105.04983 (2021) - [i4]Ilya Kisil, Giuseppe Giovanni Calvi, Kriton Konstantinidis, Yao Lei Xu, Danilo P. Mandic:
Reducing Computational Complexity of Tensor Contractions via Tensor-Train Networks. CoRR abs/2109.00626 (2021) - [i3]Ilya Kisil, Giuseppe Giovanni Calvi, Bruno Scalzo Dees, Danilo P. Mandic:
HOTTBOX: Higher Order Tensor ToolBOX. CoRR abs/2111.15662 (2021) - 2020
- [j1]Anh-Huy Phan
, Andrzej Cichocki, Ivan V. Oseledets, Giuseppe Giovanni Calvi, Salman Ahmadi-Asl, Danilo P. Mandic:
Tensor Networks for Latent Variable Analysis: Higher Order Canonical Polyadic Decomposition. IEEE Trans. Neural Networks Learn. Syst. 31(6): 2174-2188 (2020)
2010 – 2019
- 2019
- [c6]Giuseppe Giovanni Calvi, Vladimir Lucic, Danilo P. Mandic:
Support Tensor Machine for Financial Forecasting. ICASSP 2019: 8152-8156 - [c5]Ilya Kisil, Giuseppe Giovanni Calvi, Bruno Scalzo Dees, Danilo P. Mandic:
Tensor Decompositions and Practical Applications: A Hands-on Tutorial. INNSBDDL (Tutorials) 2019: 69-97 - [i2]Giuseppe Giovanni Calvi, Ahmad Moniri, Mahmoud Mahfouz, Zeyang Yu, Qibin Zhao, Danilo P. Mandic:
Tucker Tensor Layer in Fully Connected Neural Networks. CoRR abs/1903.06133 (2019) - 2018
- [c4]Athanasios Konstantinidis, Bruno Scalzo Dees, Giuseppe Giovanni Calvi, Danilo P. Mandic:
Text Mining - A Key Lynchpin in the Investment Process: A Survey. APPIS 2018: 181-193 - [c3]Giuseppe Giovanni Calvi, Ilia Kisil, Danilo P. Mandic:
Feature Fusion via Tensor Network Summation. EUSIPCO 2018: 2623-2627 - [c2]Ilia Kisil, Giuseppe Giovanni Calvi, Andrzej Cichocki, Danilo P. Mandic:
Common and Individual Feature Extraction Using Tensor Decompositions: a Remedy for the Curse of Dimensionality? ICASSP 2018: 6299-6303 - [i1]Anh Huy Phan, Andrzej Cichocki, Ivan V. Oseledets, Salman Ahmadi-Asl, Giuseppe Giovanni Calvi, Danilo P. Mandic:
Tensor Networks for Latent Variable Analysis: Higher Order Canonical Polyadic Decomposition. CoRR abs/1809.00535 (2018) - 2016
- [c1]Alicia Carrion Garcia, Theerasak Chanwimalueang, Giuseppe Giovanni Calvi, Apit Hemakom, Ramón Miralles Ricós, Danilo P. Mandic:
Modelling economic stress through financial systemic balance index. DSP 2016: 565-569
Coauthor Index
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