9 papers
TT-DAC-PS: Twin-Target Deterministic Actor-Critic with Policy Smoothing for Optimal Trade Execution
Ilia Zaznov, Atta Badii, Julian Kunkel +1
This study addresses the optimal execution of large stock sell programs by introducing TT-DAC-PS (Twin-Target Deterministic Actor-Critic with Policy Smoothing), a deterministic act…
Fully Decentralised Consensus for Extreme-scale Blockchain
Siamak Abdi, Giuseppe Di Fatta, Atta Badii +1
Blockchain is a decentralised, immutable ledger technology that has been widely adopted in many sectors for various applications such as cryptocurrencies, smart contracts and suppl…
Blockchain Epidemic Consensus for Large-Scale Networks
Siamak Abdi, Giuseppe Di Fatta, Atta Badii +1
Blockchain is a distributed ledger technology that has applications in many domains such as cryptocurrency, smart contracts, supply chain management, and many others. Distributed c…
Automated Machine Learning: A Case Study on Non-Intrusive Appliance Load Monitoring
Armin Moin, Ukrit Wattanavaekin, Alexandra Lungu +2
We propose a novel approach to enable Automated Machine Learning (AutoML) for Non-Intrusive Appliance Load Monitoring (NIALM), also known as Energy Disaggregation, through Bayesian…
Enhancing Architecture Frameworks by Including Modern Stakeholders and their Views/Viewpoints
Armin Moin, Atta Badii, Stephan Günnemann +1
Various architecture frameworks for software, systems, and enterprises have been proposed in the literature. They identified several stakeholders and defined modeling perspectives,…
Stock Price Prediction Using a Hybrid LSTM-GNN Model: Integrating Time-Series and Graph-Based Analysis
Meet Satishbhai Sonani, Atta Badii, Armin Moin
This paper presents a novel hybrid model that integrates long-short-term memory (LSTM) networks and Graph Neural Networks (GNNs) to significantly enhance the accuracy of stock mark…