Search Results for author: Laura P. Schaposnik

Found 4 papers, 2 papers with code

Housing Forecasts via Stock Market Indicators

1 code implementation18 Oct 2022 Varun Mittal, Laura P. Schaposnik

Through the reinterpretation of housing data as candlesticks, we extend Nature Scientific Reports' article by Liang and Unwin [LU22] on stock market indicators for COVID-19 data, and utilize some of the most prominent technical indicators from the stock market to estimate future changes in the housing market, comparing the findings to those one would obtain from studying real estate ETF's.

Correlations Between COVID-19 and Dengue

no code implementations27 Jul 2022 Paula Bergero, Laura P. Schaposnik, Grace Wang

A dramatic increase in the number of outbreaks of Dengue has recently been reported, and climate change is likely to extend the geographical spread of the disease.

The Power of Many: A Physarum Swarm Steiner Tree Algorithm

1 code implementation15 Oct 2021 Sheryl Hsu, Fidel I. Schaposnik Massolo, Laura P. Schaposnik

We create a novel Physarum Steiner algorithm designed to solve the Euclidean Steiner tree problem.

Steiner Tree Problem

Extrapolating continuous color emotions through deep learning

no code implementations5 Aug 2020 Vishaal Ram, Laura P. Schaposnik, Nikos Konstantinou, Eliz Volkan, Marietta Papadatou-Pastou, Banu Manav, Domicele Jonauskaite, Christine Mohr

By means of an experimental dataset, we use deep learning to implement an RGB extrapolation of emotions associated to color, and do a mathematical study of the results obtained through this neural network.

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