Results 61 to 70 of about 145,182 (282)

Algorithmic discrimination: examining its types and regulatory measures with emphasis on US legal practices

Frontiers in Artificial Intelligence
IntroductionAlgorithmic decision-making systems are widely used in various sectors, including criminal justice, employment, and education. While these systems are celebrated for their potential to enhance efficiency and objectivity, they also pose risks ...
Xukang Wang, Ying Cheng Wu, Xueliang Ji, Hongpeng Fu   +3 more
doaj   +1 more source

Multi‐omics and low‐input proteomics profiling reveals dynamic regulation driving pluripotency initiation in early mouse embryos

FEBS Open Bio, EarlyView.
Mouse pre‐implantation development involves a transition from totipotency to pluripotency. Integrating transcriptomics, epigenetic profiling, low‐input proteomics and functional assays, we show that eight‐cell embryos retain residual totipotency features, whereas cytoskeletal remodeling regulated by the ubiquitin‐proteasome system drives progression ...
Wanqiong Li, Xi Xiao, Lingbin Qi, Chanyi Li, Sirui Song, Jiaying Qin, Zhigang Xue, Jinfeng Xue, Huaifang Li   +8 more
wiley   +1 more source

Predictably unequal: understanding and addressing concerns that algorithmic clinical prediction may increase health disparities

npj Digital Medicine, 2020
The machine learning community has become alert to the ways that predictive algorithms can inadvertently introduce unfairness in decision-making.
Jessica K. Paulus, David M. Kent
doaj   +1 more source

A Statistical Perspective on Algorithmic Leveraging [PDF]

, 2013
One popular method for dealing with large-scale data sets is sampling. For example, by using the empirical statistical leverage scores as an importance sampling distribution, the method of algorithmic leveraging samples and rescales rows/columns of data ...
Ma, Ping, Mahoney, Michael W., Yu, Bin
core  

Analysing the significance of small conformational changes and low occupancy states in serial crystallographic data

FEBS Open Bio, EarlyView.
This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill, Yelyzaveta Pulnova, Elke De Zitter, Helen M. Ginn, Briony A. Yorke   +4 more
wiley   +1 more source

Investigating algorithmic bias in student progress monitoring

Computers and Education: Artificial Intelligence
This research investigates bias in AI algorithms used for monitoring student progress, specifically focusing on bias related to age, disability, and gender.
Jamiu Adekunle Idowu, Adriano Soares Koshiyama, Philip Treleaven   +2 more
doaj   +1 more source

Algorithmic Bias and Access to Opportunities

, 2021
Abstract The chapter discusses the problem of algorithmic bias in decision-making processes that determine access to opportunities, such as recidivism scores, college admission decisions, or loan scores. After describing the technical bases of algorithmic bias, it asks how to evaluate them, drawing on Iris Marion Young’s perspective of ...
openaire   +1 more source

Bias-Correction In Localization Algorithms [PDF]

GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference, 2009
In this paper we introduce a new approach to determine the bias in localization algorithms by mixing Taylor series and Jacobian matrices, which results in an easily calculated analytical expression for the bias. To illustrate this approach, we analyze the proposed method in two situations using localization algorithms based on distance measurements ...
Yiming Ji, Changbin Yu, Brian D. O. Anderson   +2 more
openaire   +1 more source

Network Localization of Fatigue in Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Fatigue is among the most common symptoms and one of the main factors determining the quality of life in multiple sclerosis (MS). However, the neurobiological mechanisms underlying fatigue are not fully understood. Here we studied lesion locations and their connections in individuals with MS, aiming to identify brain networks ...
Olli Likitalo, Jaakko Kungshamn, Albert Bellmunt‐Gil, Silvia Tommasin, Abhineet Ojha, Matias Viitala, Juho Aaltonen, Jyrki Lötjönen, Juha Koikkalainen, Pauli Ylikotila, Patrizia Pantano, Merja Soilu‐Hänninen, Juho Joutsa   +12 more
wiley   +1 more source

Algorithmic Complexity for Short Binary Strings Applied to Psychology: A Primer

, 2013
Since human randomness production has been studied and widely used to assess executive functions (especially inhibition), many measures have been suggested to assess the degree to which a sequence is random-like.
A Aksentijevic, A Brady, A Chapanis, A Kolmogorov, A Lempel, A Miyake, A Turing, A Tversky, A Zvonkin, C Kidd, D Stoffers, DG Champernowne, E Mittenecker, E Tubau, Fernando Soler-Toscano, G Chaitin, G Schulter, H Heuer, H Proios, H Strenge, HA Simon, Hector Zenil, J Barbasz, J Cohen, J-P Delahaye, Jean-Paul Delahaye, JN Towse, K Chan, KI Taylor, L Shen, M Vandewiele, N Ginsburg, Nicolas Gauvrit, NJ Rinehart, P Brugger, P Martin-Löf, R Falk, R Nickerson, R Solomonoff, T Loetscher, T Loetscher, T Radò, U Hahn, V Becher   +43 more
core   +1 more source