Now showing items 26-30 of 820

    • Discovering Trade-offs in Fairness and Accuracy: A Multi-Objective Approach 

      Chowdhry, A; Aishwaryaprajna; Narayan, A; et al. (MODeM 2024, 20 October 2024)
      In recent years, there has been a shift from focusing exclusively on the accuracy of machine learning systems to a more holistic and human-centered approach that includes privacy, fairness, transparency and more. Many of ...
    • The Idea of Optimization for Self-Improving Systems 

      Aishwaryaprajna; Bellman, K; Landauer, C (Institute of Electrical and Electronics Engineers (IEEE), 2 December 2024)
      Biological systems have multiple goals integrated within the system. In their interactions with others and the environment, they are constantly solving the SISSY challenge of being Self-Integrating and Self-improving ...
    • Towards Self-Organisation in Multi-Task Scheduling for Multi-Satellite Missions 

      Chatterjee, A; Aishwaryaprajna (Institute of Electrical and Electronics Engineers (IEEE), 2 December 2024)
      The imaging tasks performed by Earth Observation Satellites (EOSs) are highly dynamic in terms of task success uncertainties arising from sensor malfunctions or weather conditions and emergence due to unexpected events ...
    • Online Learning of Temporal Dependencies for the Sustainable Foraging Problem 

      Payne, J; Aishwaryaprajna; Lewis, P (Institute of Electrical and Electronics Engineers (IEEE), 2 December 2024)
      The sustainable foraging problem is a dynamic environment testbed for exploring the forms of agent cognition in dealing with social dilemmas in a multi-agent setting. The agents need to resist the temptation of individual ...
    • Can GPT-3.5 generate and code discharge summaries? 

      Falis, M; Gema, AP; Dong, H; et al. (Oxford University Press (OUP) / American Medical Informatics Association, 13 September 2024)
      Objectives The aim of this study was to investigate GPT-3.5 in generating and coding medical documents with International Classification of Diseases (ICD)-10 codes for data augmentation on low-resource labels. Materials ...