Why Fair Labels Can Yield Unfair Predictions: Graphical Conditions for Introduced Unfairness [PDF]
AAAI Conference on Artificial Intelligence, 2022 In addition to reproducing discriminatory relationships in the training data, machine learning (ML) systems can also introduce or amplify discriminatory effects. We refer to this as introduced unfairness, and investigate the conditions under which it may
Carolyn Ashurst +3 more
semanticscholar +1 more source
Graphical Inference in Linear-Gaussian State-Space Models [PDF]
IEEE Transactions on Signal Processing, 2022 State-space models (SSM) are central to describe time-varying complex systems in countless signal processing applications such as remote sensing, networks, biomedicine, and finance to name a few.
V. Elvira, É. Chouzenoux
semanticscholar +1 more source
Effectiveness of Graphical Components in Web Site E‐commerce Application – A Cultural Perspective
Electronic Journal of Information Systems in Developing Countries, 2002 Kyeong‐Soon Kang, Brian Corbitt
openalex +2 more sources
MTC: Visualization method of assessing physical movements with dribbling performance of basketball based in 3D Space [PDF]
Journal of Graphic Engineering and Design, 2023 We present a basketball training visualization method – Motion Time Cylinder (MTC) designed to help novice players learn basketball techniques more easily.
Mengru Liu, Newman Lau, Kelly Tang
doaj +1 more source
The roles of motion, gesture, and embodied action in the processing of mathematical concepts
Frontiers in Psychology, 2022 This article discusses perspective and frame of reference in the metaphorical description of mathematical concepts in terms of motions, gestures, and embodied actions. When a mathematical concept is described metaphorically in terms of gestures, embodied
Omid Khatin-Zadeh +5 more
doaj +1 more source
Explainable autonomous robots: a survey and perspective [PDF]
Adv. Robotics, 2021 Advanced communication protocols are critical for the coexistence of autonomous robots and humans. Thus, the development of explanatory capabilities in robots is an urgent first step toward realizing autonomous robots. This survey provides an overview of
Tatsuya Sakai, T. Nagai
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Agent Incentives: A Causal Perspective [PDF]
AAAI Conference on Artificial Intelligence, 2021 We present a framework for analysing agent incentives using causal influence diagrams. We establish that a well-known criterion for value of information is complete.
Tom Everitt +4 more
semanticscholar +1 more source
LUMAT, 2021 The concept of derivative is used in many areas including applied problems and requiring mathematical modelling in different disciplines. One of the most important approaches for teaching the derivative is to support students in visualizing the concept ...
Aytug Ozaltun-Celik
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A unifying causal framework for analyzing dataset shift-stable learning algorithms
Journal of Causal Inference, 2022 Recent interest in the external validity of prediction models (i.e., the problem of different train and test distributions, known as dataset shift) has produced many methods for finding predictive distributions that are invariant to dataset shifts and ...
Subbaswamy Adarsh +2 more
doaj +1 more source
A New Software for Patient Dose Extraction and Assessment from CT DICOM Images [PDF]
Iranian Journal of Medical Physics, 2023 Introduction: Radiation dose monitoring is an important objective of radiation safety and quality assurance program. The purpose of this study was to develop an automated approach for monitoring and estimating patient radiation doses from Computed ...
Tabarak Darkal +2 more
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