Sustainable and smart distribution networks: Machine Learning and Forecasting

Machine learning to support cutting plane selection in two-stage robust optimization problems using a column-and-constraint-generation algorithm

FeTGAN: Federated Time-Series Generative Adversarial Network

Designing a Multiplayer Competitive Text-Based Game for Elicitation of Tacit Knowledge About Humor from Crowds of People

Using Machine Learning for University Admission: Mapping the Socio-Technical Issue

The Effect of Different Initialization Methods on VAEs for Modeling Cancer using RNA Genome Expressions

Designing a single player textual GWAP for validating tacit knowledge elicitation from crowds

Devising Multivariate Splits for Optimal Decision Trees

Recommending Log Placement Based on Code Vocabulary

Reinforcement Learning approach for decision-making in driver control shifting for semi-autonomous driving

Synthesizing Comics via Conditional Generative Adversarial Networks

Preparing Stance Detection: Feature Extraction Methods and Their Performance Used for Feature-Based Machine Learning Algorithms

Spatial configurations and learning rules impact on the evolution of cooperative behaviour in the n-person iterative prisoner’s dilemma

Classification Algorithm for Early Detection of Atrial Fibrillation: The Development of a Supervised Learning Method Using Photoplethysmography Signals for an ARM Processor

Building Random Forests with Optimal Decision Trees

Bed Exit Prediction

BedBasedEcho

COVID-19 Prediction and Mitigation

Estimating landing time based on historical data: Aerlabs

Stress Detection System Using ECG and Respiratory Signals