Auflistung nach Schlagwort "fairness-aware machine learning"

Auflistung nach Schlagwort "fairness-aware machine learning"

Sortiert nach: Sortierung: Ergebnisse:

  • Ntoutsi, Erini; Fafalios, Pavlos; Gadiraju, Ujwal; Iosifidis, Vasileios; Nejdl, Wolfgang; Vidal, Maria-Esther; Ruggieri, Salvatore; Turini, Franco; Papadopoulos, Symeon; Krasanakis, Emmanouil; Kompatsiaris, Ioannis; Kinder-Kurlanda, Katharina; Wagner, Claudia; Karimi, Fariba; Fernandez, Miriam; Alani, Harith; Berendt, Bettina; Kruegel, Tina; Heinze, Christian; Broelemann, Klaus; Kasneci, Gjergji; Tiropanis, Thanassis; Staab, Steffen (Hoboken, NJ : Wiley-Blackwell, 2020)
    Artificial Intelligence (AI)-based systems are widely employed nowadays to make decisions that have far-reaching impact on individuals and society. Their decisions might affect everyone, everywhere, and anytime, entailing ...
  • Le Quy, Tai (Hannover : Institutionelles Repositorium der Leibniz Universität Hannover, 2024)
    Fairness is an essential requirement of every educational system, which is reflected in a variety of educational activities. With the extensive use of Artificial Intelligence (AI) and Machine Learning (ML) techniques in ...
  • Le Quy, Tai; Roy, Arjun; Iosifidis, Vasileios; Zhang, Wenbin; Ntoutsi, Eirini (Hoboken, NJ : Wiley, 2022)
    As decision-making increasingly relies on machine learning (ML) and (big) data, the issue of fairness in data-driven artificial intelligence systems is receiving increasing attention from both research and industry. A large ...