Characterizing stochastic time series with ordinal networks AAB Pessa, HV Ribeiro Physical Review E 100 (4), 042304, 2019 | 36 | 2019 |
ordpy: A Python package for data analysis with permutation entropy and ordinal network methods AAB Pessa, HV Ribeiro Chaos: An Interdisciplinary Journal of Nonlinear Science 31 (6), 063110, 2021 | 30 | 2021 |
Determining liquid crystal properties with ordinal networks and machine learning AAB Pessa, RS Zola, M Perc, HV Ribeiro Chaos, Solitons & Fractals 154, 111607, 2022 | 25 | 2022 |
Age and market capitalization drive large price variations of cryptocurrencies AAB Pessa, M Perc, HV Ribeiro Scientific Reports 13 (1), 3351, 2023 | 18 | 2023 |
Mapping images into ordinal networks AAB Pessa, HV Ribeiro Physical Review E 102 (5), 052312, 2020 | 14 | 2020 |
Deep learning criminal networks HV Ribeiro, DD Lopes, AAB Pessa, AF Martins, BR da Cunha, ... Chaos, Solitons & Fractals 172, 113579, 2023 | 9 | 2023 |
Complexity of the COVID-19 pandemic in Maringá AS Sunahara, AAB Pessa, M Perc, HV Ribeiro Scientific Reports 13 (1), 12695, 2023 | 8 | 2023 |
Clustering free-falling paper motion with complexity and entropy AAB Pessa, M Perc, HV Ribeiro Europhysics Letters 138 (3), 30003, 2022 | 3 | 2022 |
Characterizing unstructured data with the nearest neighbor permutation entropy LGJM Voltarelli, AAB Pessa, L Zunino, RS Zola, EK Lenzi, M Perc, ... arXiv preprint arXiv:2403.13122, 2024 | | 2024 |