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05/21/2023
Machine Learning for Socially Responsible Portfolio Optimisation
Socially responsible investors build investment portfolios intending to ...
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04/13/2023
A Learnheuristic Approach to A Constrained Multi-Objective Portfolio Optimisation Problem
Multi-objective portfolio optimisation is a critical problem researched ...
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03/20/2023
Late Meta-learning Fusion Using Representation Learning for Time Series Forecasting
Meta-learning, decision fusion, hybrid models, and representation learni...
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11/05/2022
Towards a methodology for addressing missingness in datasets, with an application to demographic health datasets
Missing data is a common concern in health datasets, and its impact on g...
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10/31/2022
Exploring the effectiveness of surrogate-assisted evolutionary algorithms on the batch processing problem
Real-world optimisation problems typically have objective functions whic...
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10/13/2022
Multi-Modal Recommendation System with Auxiliary Information
Context-aware recommendation systems improve upon classical recommender ...
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09/13/2022
Pareto Driven Surrogate (ParDen-Sur) Assisted Optimisation of Multi-period Portfolio Backtest Simulations
Portfolio management is a multi-period multi-objective optimisation prob...
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06/21/2022
Knowledge Graph Fusion for Language Model Fine-tuning
Language Models such as BERT have grown in popularity due to their abili...
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03/28/2022
Surrogate Assisted Evolutionary Multi-objective Optimisation applied to a Pressure Swing Adsorption system
Chemical plant design and optimisation have proven challenging due to th...
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03/10/2022
Fusion of Sentiment and Asset Price Predictions for Portfolio Optimization
The fusion of public sentiment data in the form of text with stock price...
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02/25/2022
Statistics and Deep Learning-based Hybrid Model for Interpretable Anomaly Detection
Hybrid methods have been shown to outperform pure statistical and pure d...
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12/16/2021
A Statistics and Deep Learning Hybrid Method for Multivariate Time Series Forecasting and Mortality Modeling
Hybrid methods have been shown to outperform pure statistical and pure d...
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10/07/2021
Multivariate Anomaly Detection based on Prediction Intervals Constructed using Deep Learning
It has been shown that deep learning models can under certain circumstan...
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10/04/2021
Incremental Class Learning using Variational Autoencoders with Similarity Learning
Catastrophic forgetting in neural networks during incremental learning r...
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09/28/2021
AMA-K: Aggressive Multi-Temporal Allocation An Algorithm for Aggressive Online Portfolio Selection
Online portfolio selection is an integral componentof wealth management....
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08/19/2021
Surrogate Assisted Strategies (The Parameterisation of an Infectious Disease Agent-Based Model)
Parameter calibration is a significant challenge in agent-based modellin...
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08/19/2021
Feature-weighted Stacking for Nonseasonal Time Series Forecasts: A Case Study of the COVID-19 Epidemic Curves
We investigate ensembling techniques in forecasting and examine their po...
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03/25/2021
Deep Similarity Learning for Sports Team Ranking
Sports data is more readily available and consequently, there has been a...
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08/26/2020
Surrogate Assisted Methods for the Parameterisation of Agent-Based Models
Parameter calibration is a major challenge in agent-based modelling and ...
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06/10/2020
Unique Faces Recognition in Videos
This paper tackles face recognition in videos employing metric learning ...
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05/26/2020