16 citations · 59 across the 9 of their papers we have counts for
10 papers
Interpretable Fuzzy Systems For Forward Osmosis Desalination
Qusai Khaled, Uzay Kaymak, Laura Genga
Preserving interpretability in fuzzy rule-based systems (FRBS) is vital for water treatment, where decisions impact public health. While structural interpretability has been addres…
Morality in AI. A plea to embed morality in LLM architectures and frameworks
Gunter Bombaerts, Bram Delisse, Uzay Kaymak
Large language models (LLMs) increasingly mediate human decision-making and behaviour. Ensuring LLM processing of moral meaning therefore has become a critical challenge. Current a…
Making sense of violence risk predictions using clinical notes
Pablo Mosteiro, Emil Rijcken, Kalliopi Zervanou +3
Violence risk assessment in psychiatric institutions enables interventions to avoid violence incidents. Clinical notes written by practitioners and available in electronic health r…
Machine Learning for Violence Risk Assessment Using Dutch Clinical Notes
Pablo Mosteiro, Emil Rijcken, Kalliopi Zervanou +3
Violence risk assessment in psychiatric institutions enables interventions to avoid violence incidents. Clinical notes written by practitioners and available in electronic health r…
Automated Reinforcement Learning: An Overview
Reza Refaei Afshar, Joaquin Vanschoren, Uzay Kaymak +4
Reinforcement Learning and, recently, Deep Reinforcement Learning are popular methods for solving sequential decision-making problems modeled as Markov Decision Processes. RL model…
A State Aggregation Approach for Solving Knapsack Problem with Deep Reinforcement Learning
Reza Refaei Afshar, Yingqian Zhang, Murat Firat +1
This paper proposes a Deep Reinforcement Learning (DRL) approach for solving knapsack problem. The proposed method consists of a state aggregation step based on tabular reinforceme…