Modelling economic stress through financial systemic balance index. - Alicia Carrion Garcia 001; Theerasak Chanwimalueang; Giuseppe Giovanni Calvi; Apit Hemakom; Ramón Miralles Ricós; Danilo P. Mandic (DSP, 2016)

Text Mining - A Key Lynchpin in the Investment Process: A Survey. - Athanasios Konstantinidis 001; Bruno Scalzo Dees; Giuseppe Giovanni Calvi; Danilo P. Mandic (APPIS, 2018)

Feature Fusion via Tensor Network Summation. - Giuseppe Giovanni Calvi; Ilia Kisil; Danilo P. Mandic (EUSIPCO, 2018)

Common and Individual Feature Extraction Using Tensor Decompositions: a Remedy for the Curse of Dimensionality? - Ilia Kisil; Giuseppe Giovanni Calvi; Andrzej Cichocki; Danilo P. Mandic (ICASSP, 2018)

Support Tensor Machine for Financial Forecasting. - Giuseppe Giovanni Calvi; Vladimir Lucic; Danilo P. Mandic (ICASSP, 2019)

Tensor Decompositions and Practical Applications: A Hands-on Tutorial. - Ilya Kisil; Giuseppe Giovanni Calvi; Bruno Scalzo Dees; Danilo P. Mandic (INNSBDDL (Tutorials), 2019)

Tucker Tensor Layer in Fully Connected Neural Networks. - Giuseppe Giovanni Calvi; Ahmad Moniri; Mahmoud Mahfouz; Zeyang Yu; Qibin Zhao; Danilo P. Mandic (CoRR, 2019)

Tensor Networks for Latent Variable Analysis: Higher Order Canonical Polyadic Decomposition. - Anh-Huy Phan 001; Andrzej Cichocki; Ivan V. Oseledets; Giuseppe Giovanni Calvi; Salman Ahmadi-Asl; Danilo P. Mandic (IEEE Trans. Neural Networks Learn. Syst., 2020)

Tensor-Train Recurrent Neural Networks for Interpretable Multi-Way Financial Forecasting. - Yao Lei Xu; Giuseppe Giovanni Calvi; Danilo P. Mandic (IJCNN, 2021)

Reducing Computational Complexity of Tensor Contractions via Tensor-Train Networks. - Ilya Kisil; Giuseppe Giovanni Calvi; Kriton Konstantinidis; Yao Lei Xu; Danilo P. Mandic (CoRR, 2021)

HOTTBOX: Higher Order Tensor ToolBOX. - Ilya Kisil; Giuseppe Giovanni Calvi; Bruno Scalzo Dees; Danilo P. Mandic (CoRR, 2021)

A lower bound on the tensor rank based on its maximally square matrix unfolding. - Giuseppe Giovanni Calvi; Bruno Scalzo Dees; Danilo P. Mandic (Signal Process., 2021)

Higher order tensor decompositions for machine intelligence - Giuseppe Giovanni Calvi (2021)

Accelerating Tensor Contraction Products via Tensor-Train Decomposition [Tips & Tricks]. - Ilya Kisil; Giuseppe Giovanni Calvi; Kriton Konstantinidis; Yao Lei Xu; Danilo P. Mandic (IEEE Signal Process. Mag., 2022)