1 citations · 2 across the 7 of their papers we have counts for
7 papers
Causal Learning with Neural Assemblies
Evangelia Kopadi, Dimitris Kalles
Can Neural Assemblies -- groups of neurons that fire together and strengthen through co-activation -- learn the direction of causal influence between variables? While established a…
Governance by Evidence: Regulated Predictors in Decision-Tree Models
Alexios Veskoukis, Dimitris Kalles
Decision-tree methods are widely used on structured tabular data and are valued for interpretability across many sectors. However, published studies often list the predictors they…
From Coordination to Personalization: A Trust-Aware Simulation Framework for Emergency Department Decision Support
Zoi Lygizou, Dimitris Kalles
Background/Objectives: Efficient task allocation in hospital emergency departments (EDs) is critical for operational efficiency and patient care quality, yet the complexity of staf…
Off-the-Shelf Neural Network Architectures for Forex Time Series Prediction come at a Cost
Theodoros Zafeiriou, Dimitris Kalles
Our study focuses on comparing the performance and resource requirements between different Long Short-Term Memory (LSTM) neural network architectures and an ANN specialized archite…
Comparative analysis of neural network architectures for short-term FOREX forecasting
Theodoros Zafeiriou, Dimitris Kalles
The present document delineates the analysis, design, implementation, and benchmarking of various neural network architectures within a short-term frequency prediction system for t…
Measuring Technical Debt in AI-Based Competition Platforms
Dionysios Sklavenitis, Dimitris Kalles
Advances in AI have led to new types of technical debt in software engineering projects. AI-based competition platforms face challenges due to rapid prototyping and a lack of adher…
A biologically inspired computational trust model for open multi-agent systems which is resilient to trustor population changes
Zoi Lygizou, Dimitris Kalles
Current trust and reputation models continue to have significant limitations, such as the inability to deal with agents constantly entering or exiting open multi-agent systems (ope…