Archivio Istituzionale della RicercaMARTINO, SIMONE
MARTINO, SIMONE
Dipartimento Scienza Applicata e Tecnologia
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Data-driven assessment of optimal spatiotemporal resolutions for information extraction in noisy time series data
2025 Doria, Domiziano; Martino, Simone; Becchi, Matteo; Pavan, Giovanni M.
Relevant, Hidden, and Frustrated Information in High-Dimensional Analyses of Complex Dynamical Systems with Internal Noise
2025 Lionello, Chiara; Becchi, Matteo; Martino, Simone; Pavan, Giovanni M.
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| Data-driven assessment of optimal spatiotemporal resolutions for information extraction in noisy time series data / Doria, Domiziano; Martino, Simone; Becchi, Matteo; Pavan, Giovanni M.. - In: JOURNAL OF CHEMICAL PHYSICS ONLINE. - ISSN 1089-7690. - 162:23(2025). [10.1063/5.0261449] | 1-gen-2025 | Domiziano DoriaSimone MartinoMatteo BecchiGiovanni M. Pavan | JCP25-AR-00358.pdf; 234110_1_5.0261449.pdf; 2412.13741v4.pdf |
| Relevant, Hidden, and Frustrated Information in High-Dimensional Analyses of Complex Dynamical Systems with Internal Noise / Lionello, Chiara; Becchi, Matteo; Martino, Simone; Pavan, Giovanni M.. - In: JOURNAL OF CHEMICAL THEORY AND COMPUTATION. - ISSN 1549-9618. - (2025). [10.1021/acs.jctc.5c00374] | 1-gen-2025 | Chiara LionelloMatteo BecchiSimone MartinoGiovanni M. Pavan | lionello-et-al-2025-relevant-hidden-and-frustrated-information-in-high-dimensional-analyses-of-complex-dynamical.pdf; 2412.09412v5_compressed.pdf |