Conscientious Classification: A Data Scientist's Guide to Discrimination-Aware Classification.

Autor: d'Alessandro B; 1 Department of Data Science, Zocdoc , New York, New York.; 2 NYU Center for Data Science , New York, New York., O'Neil C; 3 ORCAA , New York, New York., LaGatta T; 4 Splunk , New York, New York.

Publikováno v: Big data [Big Data] 2017 Jun; Vol. 5 (2), pp. 120-134.

Challenges in Reducing Bias Using Post-Processing Fairness for Breast Cancer Stage Classification with Deep Learning.

Autor: Soltan, Armin¹ (AUTHOR) asoltan@hawaii.edu, Washington, Peter¹ (AUTHOR) asoltan@hawaii.edu

Publikováno v: Algorithms. Apr2024, Vol. 17 Issue 4, p141. 13p.

Towards fairness-aware multi-objective optimization.

Autor: Yu, Guo, Ma, Lianbo, Wang, Xilu, Du, Wei, Du, Wenli, Jin, Yaochu

Publikováno v: Complex & Intelligent Systems; Jan2025, Vol. 11 Issue 1, p1-20, 20p

Systems biology of cancer: a challenging expedition for clinical and quantitative biologists.

Autor: Korsunsky I; Department of Computer Science, Courant Institute, New York University , New York, NY , USA., McGovern K; Department of Mathematics and Statistics, Hunter College, City University of New York , New York, NY , USA., LaGatta T; Department of Mathematics, Courant Institute, New York University , New York, NY , USA., Olde Loohuis L; Department of Computer Science, The Graduate Center, City University of New York , New York, NY , USA., Grosso-Applewhite T; Department of Computer Science, The Graduate Center, City University of New York , New York, NY , USA., Griffeth N; Department of Mathematics and Computer Science, Lehman College, City University of New York , New York, NY , USA., Mishra B; Department of Computer Science, Courant Institute, New York University , New York, NY , USA ; Department of Mathematics, Courant Institute, New York University , New York, NY , USA.

Publikováno v: Frontiers in bioengineering and biotechnology [Front Bioeng Biotechnol] 2014 Aug 19; Vol. 2, pp. 27. Date of Electronic Publication: 2014 Aug 19 (Print Publication: 2014).

Enhancing Fairness Perception – Towards Human-Centred AI and Personalized Explanations Understanding the Factors Influencing Laypeople's Fairness Perceptions of Algorithmic Decisions.

Autor: Shulner-Tal, Avital¹ (AUTHOR) Avitalshulner@gmail.com, Kuflik, Tsvi¹ (AUTHOR), Kliger, Doron² (AUTHOR)

Publikováno v: International Journal of Human-Computer Interaction. May2023, Vol. 39 Issue 7, p1455-1482. 28p. 1 Color Photograph, 1 Diagram, 16 Charts, 7 Graphs.