Federated Learning with Rebalanced Dataset

With the widespread application of artificial intelligence, centralized machine learning approaches, which require access to users' local data, have raised concerns about data privacy. In response, federated learning, an architecture that aggregates models trained locally with local data, has been proposed. This approach addresses the data...

Automated Detection of Code Smells for Machine Learning Applications

The popularity of machine learning has wildly expanded in recent years. Machine learning techniques have been heatedly studied in academia and applied in the industry to create business value. However, there is a lack of guidelines for code quality in machine learning applications. Although machine learning code is usually integrated as a small...

Assessing COVID-19 impact on Dutch SMEs using dynamic network analysis

The COVID-19 pandemic is influencing the Dutch economy heavily. More so, small and medium-sized enterprises, also known as SMEs, are notoriously unstable and as a result, could be even more heavily affected by the coronavirus outbreak. The first major lockdown in The Netherlands was instated on March 23, 2020, which introduced several new...

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

Tacit knowledge, unlike explicit knowledge, is not easily codifiable, yet important for machine learning models. This research explores a method to gather tacit knowledge about humor using a simple text-based party game, building on the existing idea of using games to gather tacit knowledge from crowds of people. Players propose prompts, which...