activity
20182020
most citedClustering patterns in efficiency and the coming-of-age of the cryptocurrency market

109 citations · 297 across the 4 of their papers we have counts for

collaborators

5 papers

physics.soc-ph202056 cited

Collective dynamics of stock market efficiency

Luiz G. A. Alves, Higor Y. D. Sigaki, Matjaz Perc +1

Summarized by the efficient market hypothesis, the idea that stock prices fully reflect all available information is always confronted with the behavior of real-world markets. Whil…

physics.comp-ph202073 cited

Learning physical properties of liquid crystals with deep convolutional neural networks

Higor Y. D. Sigaki, Ervin K. Lenzi, Rafael S. Zola +2

Machine learning algorithms have been available since the 1990s, but it is much more recently that they have come into use also in the physical sciences. While these algorithms hav…

physics.data-an201959 cited

Estimating physical properties from liquid crystal textures via machine learning and complexity-entropy methods

H. Y. D. Sigaki, R. F. de Souza, R. T. de Souza +2

Imaging techniques are essential tools for inquiring a number of properties from different materials. Liquid crystals are often investigated via optical and image processing method…

q-fin.ST2019109 cited

Clustering patterns in efficiency and the coming-of-age of the cryptocurrency market

Higor Y. D. Sigaki, Matjaz Perc, Haroldo V. Ribeiro

The efficient market hypothesis has far-reaching implications for financial trading and market stability. Whether or not cryptocurrencies are informationally efficient has therefor…

physics.soc-ph2018

History of art paintings through the lens of entropy and complexity

Higor Y. D. Sigaki, Matjaz Perc, Haroldo V. Ribeiro

Art is the ultimate expression of human creativity that is deeply influenced by the philosophy and culture of the corresponding historical epoch. The quantitative analysis of art i…