1 code implementation • 18 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.
no code implementations • 27 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.
1 code implementation • 15 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.
no code implementations • 5 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.