Human biases in body measurement estimation

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This tutorial presents recent advances on the assessment and mitigation of data and algorithmic bias in personalized rankings. We first introduce fundamental concepts and definitions associated with bias issues, covering the state of the art and describing ...

Sirtuin 3 (SIRT3) is a protein deacetylase regulating beta-cell function through inhibiting oxidative stress in obese and diabetic mice, but the detailed mechanism and potential effect of beta-cell-specific SIRT3 on metabolic homeostasis, and its potential ...

We face a rigidity problem for the fractional p-Laplace operator to extend to this new framework some tools useful for the linear case. It is known that (-Delta)(s)(1 - vertical bar x vertical bar(2))(+)(s) and -Delta(p)(1 - vertical bar x vertical bar(p/p ...

Observational studies reporting on adjusted associations between childhood body mass index (BMI; weight (kg)/height (m)(2)) rebound and subsequent cardiometabolic outcomes have often not paid explicit attention to causal inference, including definition of ...

Enhanced sampling techniques have become an essential tool in computational chemistry and physics, where they are applied to sample activated processes that occur on a time scale that is inaccessible to conventional simulations. Despite their popularity, i ...

Selection bias may arise when data have been chosen in a way that subsequent analysis does not account for. Such bias can arise in climate event attribution studies that are performed rapidly after a devastating "trigger event'', whose occurrence correspon ...

The goal of this tutorial is to provide the WSDM community with recent advances on the assessment and mitigation of data and algorithmic bias in recommender systems. We first introduce conceptual foundations, by presenting the state of the art and describi ...

By operating with the Scale Relativity Theory in the dynamics of complex systems, we can achieve a description of these complex systems through a holographic-type perspective. Then, gauge invariances of a Riccati-type become functional in complex system dy ...

Is it possible to detect if the sample paths of a stochastic process almost surely admit a finite expansion with respect to some/any basis? The determination is to be made on the basis of a finite collection of discretely/noisily observed sample paths. We ...

Understanding the implicit bias of training algorithms is of crucial importance in order to explain the success of overparametrised neural networks. In this paper, we study the dynamics of stochastic gradient descent over diagonal linear networks through i ...

Fourier ptychography (FP) involves the acquisition of several low-resolution intensity images of a sample under varying illumination angles. They are then combined into a high-resolution complex-valued image by solving a phase-retrieval problem. The object ...

Obesity is currently a leading global health concern. Treatments include undergoing a weight-loss regimen. However, successful weight-loss is variable, where the heritability of obesity is considered part of the cause. This patient variability to weight-lo ...

We study the computations that Bayesian agents undertake when exchanging opinions over a network. The agents act repeatedly on their private information and take myopic actions that maximize their expected utility according to a fully rational posterior be ...

Visual estimates of stimulus features are systematically biased toward the features of previously encountered stimuli. Such serial dependencies have often been linked to how the brain maintains perceptual continuity. However, serial dependence has mostly b ...

Human biases in body measurement estimation

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Countering Bias in Personalized Rankings From Data Engineering to Algorithm Development

Pancreatic Sirtuin 3 Deficiency Promotes Hepatic Steatosis by Enhancing 5-Hydroxytryptamine Synthesis in Mice With Diet-Induced Obesity

Some evaluations of the fractional p-Laplace operator on radial functions

Separating Algorithms From Questions and Causal Inference With Unmeasured Exposures: An Application to Birth Cohort Studies of Early Body Mass Index Rebound

Global Free-Energy Landscapes as a Smoothly Joined Collection of Local Maps

Timing and spatial selection bias in rapid extreme event attribution

Advances in Bias-aware Recommendation on the Web

On A Special Symmetry In The Dynamics Of Complex Systems In A Holographic-Type Perspective

Detecting whether a stochastic process is finitely expressed in a basis

Implicit Bias of SGD for Diagonal Linear Networks: a Provable Benefit of Stochasticity

Dynamic Fourier ptychography with deep spatiotemporal priors

The role and transcriptional regulation of FAM46A in adipocyte differentiation

Bayesian Decision Making in Groups is Hard

Stronger serial dependence in the depth plane than the fronto-parallel plane between realistic objects: Evidence from virtual reality