Yi Cao

Orcid: 0000-0002-5087-8861

Affiliations:
  • University of Edinburgh, UK
  • University of Surrey, UK (former)
  • University of Essex, UK (former)


According to our database1, Yi Cao authored at least 35 papers between 2011 and 2023.

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

Timeline

Legend:

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Online presence:

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Bibliography

2023
A novelty detection approach to effectively predict conversion from mild cognitive impairment to Alzheimer's disease.
Int. J. Mach. Learn. Cybern., January, 2023

2022
A travel customer segmentation method based on improved RFM and k-means++.
Proceedings of the 5th International Conference on Computer Science and Software Engineering, 2022

Predicting Financial Volatility from Personal Transactional Data.
Proceedings of the IEEE Symposium on Computational Intelligence for Financial Engineering and Economics, 2022

2021
Counteracting dynamical degradation of a class of digital chaotic systems via Unscented Kalman Filter and perturbation.
Inf. Sci., 2021

A multi-scale image watermarking based on integer wavelet transform and singular value decomposition.
Expert Syst. Appl., 2021

Option valuation under no-arbitrage constraints with neural networks.
Eur. J. Oper. Res., 2021

2020
Echo state network optimization using binary grey wolf algorithm.
Neurocomputing, 2020

An echo state network architecture based on quantum logic gate and its optimization.
Neurocomputing, 2020

Latent state recognition by an enhanced hidden Markov model.
Expert Syst. Appl., 2020

A Neural network enhanced hidden Markov model for tourism demand forecasting.
Appl. Soft Comput., 2020

EEG-Based Emotion Classification Using Spiking Neural Networks.
IEEE Access, 2020

2019
A robust image encryption algorithm based on Chua's circuit and compressive sensing.
Signal Process., 2019

ECM-IBS: A Chebyshev Map-Based Broadcast Authentication for Wireless Sensor Networks.
Int. J. Bifurc. Chaos, 2019

Wavelet-based option pricing: An empirical study.
Eur. J. Oper. Res., 2019

2018
An Efficient, Low-Cost Routing Architecture for Spiking Neural Network Hardware Implementations.
Neural Process. Lett., 2018

An efficient and self-adapting colour-image encryption algorithm based on chaos and interactions among multiple layers.
Multim. Tools Appl., 2018

Cryptanalysis of Chaos-Based Cryptosystem from the Hardware Perspective.
Int. J. Bifurc. Chaos, 2018

A paired neural network model for tourist arrival forecasting.
Expert Syst. Appl., 2018

Quantitative analysis of breast cancer diagnosis using a probabilistic modelling approach.
Comput. Biol. Medicine, 2018

Improving the Stability for Spiking Neural Networks Using Anti-noise Learning Rule.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Financial Data Forecasting Using Optimized Echo State Network.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017
Coarse and fine identification of collusive clique in financial market.
Expert Syst. Appl., 2017

Data analytics enhanced component volatility model.
Expert Syst. Appl., 2017

Computational intelligent hybrid model for detecting disruptive trading activity.
Decis. Support Syst., 2017

An Extended Algorithm Using Adaptation of Momentum and Learning Rate for Spiking Neurons Emitting Multiple Spikes.
Proceedings of the Advances in Computational Intelligence, 2017

An Efficient Hardware Architecture for Multilayer Spiking Neural Networks.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

An Energy-Aware Hybrid Particle Swarm Optimization Algorithm for Spiking Neural Network Mapping.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

A chaos-based self-adapting RGB image permutation scheme.
Proceedings of the 13th International Conference on Natural Computation, 2017

2016
Detecting Wash Trade in Financial Market Using Digraphs and Dynamic Programming.
IEEE Trans. Neural Networks Learn. Syst., 2016

2015
Adaptive Hidden Markov Model With Anomaly States for Price Manipulation Detection.
IEEE Trans. Neural Networks Learn. Syst., 2015

2014
On the calibration of stochastic volatility models: A comparison study.
Proceedings of the IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2014

Detecting wash trade in the financial market.
Proceedings of the IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2014

Detecting price manipulation in the financial market.
Proceedings of the IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2014

2013
A Hidden Markov Model with Abnormal States for Detecting Stock Price Manipulation.
Proceedings of the IEEE International Conference on Systems, 2013

2011
An Option Pricing Model Calibration Using Algorithmic Differentiation.
Proceedings of the Computer and Information Sciences II, 2011


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