Results 21 to 30 of about 75,314 (264)

A United States Fair Lending Perspective on Machine Learning

Frontiers in Artificial Intelligence, 2021
The use of machine learning (ML) has become more widespread in many areas of consumer financial services, including credit underwriting and pricing of loans.
Patrick Hall, Patrick Hall, Benjamin Cox, Steven Dickerson, Arjun Ravi Kannan, Raghu Kulkarni, Nicholas Schmidt, Nicholas Schmidt   +7 more
doaj   +1 more source

From patient advocacy to patient‐driven research: Building active partnerships beginning at the bench to reach the bedside

FEBS Open Bio, EarlyView.
Research is strongest when conducted alongside patients, not just about them. Patient research organizations help integrate patient perspectives into research priorities, study design, and scientific meetings, leading to meaningful patient outcomes and development of relevant therapies.
Jenica H. Kakadia, Rachel Heilmann, Maximiliano Barrientos, Laura MacNeill, Ingrid Vallee, Sarah K. Schultz, Patrick O'Donoghue, Angelica A. Moresco, Victoria M. Siu, Ilka U. Heinemann   +9 more
wiley   +1 more source

Bi‐ and Mono‐Allelic RFC1 Expansion in a North American Cohort With Idiopathic Axonal Neuropathy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective RFC1 biallelic repeat expansion is increasingly recognized as a cause of chronic idiopathic axonal polyneuropathy (CIAP), but it remains challenging to know who to test. This study aims to determine the prevalence of biallelic and monoallelic RFC1 expansions and their corresponding neuropathy phenotypes in CIAP patients and identify ...
Amro M. Stino, Lavanya Muthukumar, Evan L. Reynolds, Peter Todd, Sinem Ovunc, Sheng Chih Jin, Zitian Tang, Simone Thomas, PNRR Study Group, Ahmet Höke, Brian C. Callaghan, Sarah Berth, Vinay Chaudhry, David Cornblath, Leana Doherty, Lindsey Hayes, Hristelina Ilieva, Thomas Lloyd, Mohammad Khoshnoodi, Brett McCray, Brett Morrison, Bipasha Mukherjee‐Clavin, Lyle Ostrow, Michael Polydefkis, Ricardo Roda, Charlotte Sumner   +25 more
wiley   +1 more source

Faire, faire faire, ne pas faire

, 2021
Ce livre examine les modes d'exécution de l'art contemporain depuis le point de vue de la production, au moyen d'une série de dix-huit entretiens. II déroule une réflexion plurielle et polyphonique, en réunissant les propos de divers acteurs et actrices de la réalisation des œuvres et de plusieurs générations d'artistes.En a-t-on vraiment fini avec la ...
Ileana, Parvu, Bolay, Jean-Marie, Le Pimpec, Bénédicte, Mavridorakis, Valérie   +3 more
openaire   +1 more source

Digital Cognitive Testing in Mitochondrial Disease: Validity and Challenges for Clinical Trial Use

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Primary mitochondrial disease is a group of genetic disorders caused by pathogenic variants in nuclear or mitochondrial DNA, often resulting in progressive neurodegeneration and cognitive decline. Current management is primarily supportive, though recent research offers hope for disease‐modifying treatments in the future.
Oksana Pogoryelova, Jan Smeitink, Herma Renkema, Rosabeth White, Frankie Barton, Rachel Lyon, Jane Newman, Aye Moe, Yi Shiau Ng, Grainne Siobhan Gorman   +9 more
wiley   +1 more source

Challenges and Tasks in Advancing Educational Fairness Research in Korea

KEDI Journal of Educational Policy
This study seeks to reframe educational fairness in Korea through a multidimensional approach that clarifies distinctions between equality, equity, and fairness. It emphasizes the uneven application of distributive, procedural, and interactional fairness
Kyu Tae Kim
doaj   +1 more source

HAPS-UAV-Enabled Heterogeneous Networks: A Deep Reinforcement Learning Approach

IEEE Open Journal of the Communications Society, 2023
The integrated use of non-terrestrial network (NTN) entities such as the high-altitude platform station (HAPS) and low-altitude platform station (LAPS) has become essential elements in the space-air-ground integrated networks (SAGINs).
Atefeh Hajijamali Arani, Peng Hu, Yeying Zhu   +2 more
doaj   +1 more source

Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif, Diane Demailly, Gabriella A. Horvàth, Juan Dario Ortigoza Escobar, Nathalie Dorison, Mayté Castro Jiménez, Cécile A. Hubsch, Thomas Wirth, Gun‐Marie Hariz, Sophie Huby, Morgan Dornadic, Zohra Souei, Muhammad Mushhood Ur Rehman, Simone Hemm, Mehdi Boulaymen, Eduardo M. Moraud, Jocelyne Bloch, Xavier Vasques   +17 more
wiley   +1 more source

Fairness considerations with algorithms for elastic traffic routing

Journal of Telecommunications and Information Technology, 2004
The bit rate of modern applications typically varies in time. We consider the traffic elastic if the rate of the sources can be controlled as a function of free resources along the route of that traffic.
Tibor Cinkler, Péter Laborczi, Michał Pióro   +2 more
doaj   +1 more source

Fractional Frequency Reuse Optimal SINR Threshold Selection Using NIR and ISODATA

Telecom, 2022
A vital part of cellular network evolution has been long-term evolution networks. In these networks, it is important to mitigate inter-cell interference. Fractional frequency re-use has been proposed to address this.
Peter Kihato, Stephen Musyoki, Antony Onim   +2 more
doaj   +1 more source