Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Moorosi, Nyalleng"'
Autor:
Momo, Lyse Naomi Wamba, Moorosi, Nyalleng, Nsoesie, Elaine O., Rademakers, Frank, De Moor, Bart
Inpatient length of stay (LoS) is an important managerial metric which if known in advance can be used to efficiently plan admissions, allocate resources and improve care. Using historical patient data and machine learning techniques, LoS prediction
Externí odkaz:
http://arxiv.org/abs/2306.16823
Autor:
Rostamzadeh, Negar, Mincu, Diana, Roy, Subhrajit, Smart, Andrew, Wilcox, Lauren, Pushkarna, Mahima, Schrouff, Jessica, Amironesei, Razvan, Moorosi, Nyalleng, Heller, Katherine
Machine learning (ML) approaches have demonstrated promising results in a wide range of healthcare applications. Data plays a crucial role in developing ML-based healthcare systems that directly affect people's lives. Many of the ethical issues surro
Externí odkaz:
http://arxiv.org/abs/2202.13028
Autor:
Soen, Alexander, Alabdulmohsin, Ibrahim, Koyejo, Sanmi, Mansour, Yishay, Moorosi, Nyalleng, Nock, Richard, Sun, Ke, Xie, Lexing
We introduce a new family of techniques to post-process ("wrap") a black-box classifier in order to reduce its bias. Our technique builds on the recent analysis of improper loss functions whose optimization can correct any twist in prediction, unfair
Externí odkaz:
http://arxiv.org/abs/2201.12947
Autor:
Momo, Lyse Naomi Wamba, Moorosi, Nyalleng, Nsoesie, Elaine O., Rademakers, Frank, De Moor, Bart
Publikováno v:
In Engineering Applications of Artificial Intelligence July 2024 133 Part A
How should we decide which fairness criteria or definitions to adopt in machine learning systems? To answer this question, we must study the fairness preferences of actual users of machine learning systems. Stringent parity constraints on treatment o
Externí odkaz:
http://arxiv.org/abs/2012.04216
The popularity and widespread use of pruning and quantization is driven by the severe resource constraints of deploying deep neural networks to environments with strict latency, memory and energy requirements. These techniques achieve high levels of
Externí odkaz:
http://arxiv.org/abs/2010.03058
Autor:
Mitchell, Margaret, Baker, Dylan, Moorosi, Nyalleng, Denton, Emily, Hutchinson, Ben, Hanna, Alex, Gebru, Timnit, Morgenstern, Jamie
Publikováno v:
AIES 2020: Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society
The ethical concept of fairness has recently been applied in machine learning (ML) settings to describe a wide range of constraints and objectives. When considering the relevance of ethical concepts to subset selection problems, the concepts of diver
Externí odkaz:
http://arxiv.org/abs/2002.03256
Autor:
van Niekerk, Daniel, Pérez-Ortiz, María, Shawe-Taylor, John, Orlič, Davor, Drobnjak, Ivana, Kay, Jackie, Siegel, Noah, Evans, Katherine, Moorosi, Nyalleng, Eliassi-Rad, Tina, Tanczer, Leonie Maria, Holmes, Wayne, Deisenroth, Marc Peter, Straw, Isabel, Fasli, Maria, Adams, Rachel, Oliver, Nuria, Mladenić, Dunja, Aneja, Urvashi
Publikováno v:
Education Journal Review; Mar2024, Vol. 30 Issue 1, p15-42, 28p
Autor:
Marivate, Vukosi, Moorosi, Nyalleng
Publikováno v:
ACM International Conference Proceeding Series; 5/30/2018, p1-6, 6p
Autor:
de Waal, Alta, Koen, Hildegarde, de Villiers, Pieter, Roodt, Henk, Moorosi, Nyalleng, Pavlin, Gregor
Publikováno v:
2016 19th International Conference on Information Fusion (FUSION); 2016, p774-781, 8p