Can We Stop Fake News? Using Agent-Based Modelling to Evaluate Countermeasures for Misinformation on Social Media
The internet and social media have been a huge force for change in our society, transforming the way we communicate and seek information. However, the unprecedented volumes of data have created a…
Using Agent-Based Modelling to Evaluate the Impact of Algorithmic Curation on Social Media
- A. Gausen, Wayne Luk, Ce Guo
- Computer Science, BusinessJournal of Data and Information Quality
- 8 July 2022
This research provides useful insights into the impact of curation algorithms on how information propagates and on content diversity on social media and shows how agent-based modelling can reveal specific properties ofCuration algorithms, which can be used in improving such algorithms.
The hArtes CarLab: A New Approach to Advanced Algorithms Development for Automotive Audio
Learning Absolute Sound Source Localisation With Limited Supervisions
The results show that the auditory space mapping can be calibrated even without explicit supervision, and implies a possibly more general neural mechanism where multiple sub-modules can be coordinated to facilitate each other's learning process under limited supervisions.
High‐Frequency Trading and Financial Time‐Series Prediction with Spiking Neural Networks
The experimental results of the unsupervised spike learning method show that the method achieves excellent performance, and experiments demonstrate that using the STDP learning rule, a spiking neural network can recognize patterns hidden in historical price time series and can also be used to predict price spikes.
Accelerating Bayesian Neural Networks via Algorithmic and Hardware Optimizations
- Hongxiang Fan, M. Ferianc, Zhiqiang Que, Xinyu Niu, Miguel L. Rodrigues, Wayne Luk
- Computer ScienceIEEE Transactions on Parallel and Distributed…
This paper systematically exploits the extensive structured sparsity and redundant computation in BayesNNs, introduced by Monte Carlo Dropout and its associated sampling required during uncertainty estimation and prediction, to address real-world hardware performance issues.
Audio Array Processing for Telepresence
This chapter presents embedded implementations of two audio array processing algorithms for a telepresence application as usage examples of the hArtes tool-chain and platform.
In Car Audio
An overview of the whole system is here presented, taking into consideration a complete set of audio algorithms developed for the advanced car infotainment system (ACIS) that is composed of three main different applications regarding the In Car listening and communication experience.
Light-Weight Permutation Generator for Efficient Convolutional Neural Network Data Augmentation
Understanding intra-day price formation process by agent-based financial market simulation: calibrating the extended chiarella model
This article presents XGB-Chiarella, a powerful new approach for deploying agent-based models to generate realistic intra-day artiﬁcial ﬁnancial price data. This approach is based on agent-based…