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20122023
most citedTensor Decompositions for Signal Processing Applications From Two-way to Multiway Component Analysis

1.4k citations · 3.2k across the 73 of their papers we have counts for

collaborators

80 papers

math.OC2023★ 16 cited

Convex Quaternion Optimization for Signal Processing: Theory and Applications

Shuning Sun, Qiankun Diao, Dongpo Xu +2

Convex optimization methods have been extensively used in the fields of communications and signal processing. However, the theory of quaternion optimization is currently not as ful…

eess.SP2022

Complexity-based Financial Stress Evaluation

Hongjian Xiao, Yao Lei Xu, Danilo P. Mandic

Financial markets typically exhibit dynamically complex properties as they undergo continuous interactions with economic and environmental factors. The Efficient Market Hypothesis…

cs.LG2022

Pearl: Parallel Evolutionary and Reinforcement Learning Library

Rohan Tangri, Danilo P. Mandic, Anthony G. Constantinides

Reinforcement learning is increasingly finding success across domains where the problem can be represented as a Markov decision process. Evolutionary computation algorithms have al…

cs.MS2021

HOTTBOX: Higher Order Tensor ToolBOX

Ilya Kisil, Giuseppe G. Calvi, Bruno S. Dees +1

HOTTBOX is a Python library for exploratory analysis and visualisation of multi-dimensional arrays of data, also known as tensors. The library includes methods ranging from standar…

q-fin.CP2021

Learning to Classify and Imitate Trading Agents in Continuous Double Auction Markets

Mahmoud Mahfouz, Tucker Balch, Manuela Veloso +1

Continuous double auctions such as the limit order book employed by exchanges are widely used in practice to match buyers and sellers of a variety of financial instruments. In this…

eess.SP2021

Bayesian autoregressive spectral estimation

Alejandro Cuevas, Sebastián López, Danilo Mandic +1

Autoregressive (AR) time series models are widely used in parametric spectral estimation (SE), where the power spectral density (PSD) of the time series is approximated by that of…