3 papers
cs.MA2026
The impact of multi-agent debate protocols on debate quality: a controlled case study
Ramtin Zargari Marandi
In multi-agent debate (MAD) systems, performance gains are often reported; however, because the debate protocol (e.g., number of agents, rounds, and aggregation rule) is typically…
cs.LG2025
Datasheets for AI and medical datasets (DAIMS): a data validation and documentation framework before machine learning analysis in medical research
Ramtin Zargari Marandi, Anne Svane Frahm, Maja Milojevic
Despite progresses in data engineering, there are areas with limited consistencies across data validation and documentation procedures causing confusions and technical problems in…
cs.LG2025
Medical artificial intelligence toolbox (MAIT): an explainable machine learning framework for binary classification, survival modelling, and regression analyses
Ramtin Zargari Marandi, Anne Svane Frahm, Jens Lundgren +2
While machine learning offers diverse techniques suitable for exploring various medical research questions, a cohesive synergistic framework can facilitate the integration and unde…