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Learned Iterative Reconstruction
Learned iterative reconstruction methods have recently emerged as a powerful tool to solve inverse problems. These deep learning techniques for image...
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Explanatory argumentation in natural language for correct and incorrect medical diagnoses
BackgroundA huge amount of research is carried out nowadays in Artificial Intelligence to propose automated ways to analyse medical data with the aim...
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A Stochastic Subgradient Method for Distributionally Robust Non-convex and Non-smooth Learning
We consider a distributionally robust formulation of stochastic optimization problems arising in statistical learning, where robustness is with...
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Information and dynamic trading with the Gambler’s fallacy
A multi-period stock trading model is developed in which there are two types of traders—a “rational” type and a “gambler’s fallacy” type—both...
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RETRACTED ARTICLE: Industrial structure optimization, economic development factors and regional economic risk prevention in post COVID-19 period: empirical analysis based on panel data of Guangdong regional economy
In the post-COVID-19 period, the regional economic development gap in Guangdong has expanded and the risk has increased. This is not conducive to...
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Learning about latent dynamic trading demand \(^*\)
We present an equilibrium model of dynamic trading, learning, and pricing by strategic investors with trading targets and price impact. Since trading...
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The Magic Ring in Action Explores Quality and Productivity
The discipline of control entails observing reality by filtering it through the models produced by the simple theory of control discussed in Part I...
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Fast and precise inference on diffusivity in interacting particle systems
Particle systems made up of interacting agents is a popular model used in a vast array of applications, not the least in biology where the agents can...
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Cities as Convergent Autopoietic Systems
The aim of this paper is to explore the epistemological evolution of systems thinking, from cybernetics to autopoiesis and anticipatory systems in...
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Modern Machine Learning Methods for Telemetry-Based Spacecraft Health Monitoring
AbstractWe survey the progress in data mining methods for spacecraft health monitoring. The main emphasis is placed on the analysis of telemetry...
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A non-parametric method for determining epidemiological reproduction numbers
In the spreading of infectious diseases, an important number to determine is how many other people will be infected on average by anyone who has...
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Introductory Remarks
This chapter presents introductory remarks on geomathematically oriented aspects about the history and methodology of Earth’s gravitational field...
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Equilibrium effects of intraday order-splitting benchmarks
This paper presents a continuous-time model of intraday trading, pricing, and liquidity with dynamic TWAP and VWAP benchmarks. The model is solved in...
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Statistical Arbitrage for Multiple Co-integrated Stocks
In this article, we analyse optimal statistical arbitrage strategies from stochastic control and optimisation problems for multiple co-integrated...
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Penguin Search Aware Proactive Application Placement
With the huge proliferation of IoT devices, new challenges have been raised. These IoT devices generate a huge amount of data, instantly. In...
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In Situ Statistical Distribution-Based Data Summarization and Visual Analysis
As the era of exascale computing approaches, the need for effective, scalable, and flexible data reduction techniques is becoming more and more...
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Macroeconomic and Financial Networks: Review of Some Recent Developments in Parametric and Non-parametric Approaches
In this article, we discuss some recent theoretical and empirical developments in the use of networks in finance and macroeconomics. Over the last...
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Identity Protection
Digitized world requires identity protection. Until now, these concerns were dealt by identity and reputation management (Whitley and Hosein 2009)....
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Transparency Tools for Fairness in AI (Luskin)
We propose new tools for policy-makers to use when assessing and correcting fairness and bias in AI algorithms. The three tools are:...