| Estimating the intrinsic dimension of datasets by a minimal neighborhood information E Facco, M d’Errico, A Rodriguez, A Laio Scientific reports 7 (1), 12140, 2017 | 380 | 2017 |
| Automatic topography of high-dimensional data sets by non-parametric density peak clustering M d’Errico, E Facco, A Laio, A Rodriguez Information Sciences 560, 476-492, 2021 | 76 | 2021 |
| Computing the free energy without collective variables A Rodriguez, M d’Errico, E Facco, A Laio Journal of chemical theory and computation 14 (3), 1206-1215, 2018 | 72 | 2018 |
| Data segmentation based on the local intrinsic dimension M Allegra, E Facco, F Denti, A Laio, A Mira Scientific reports 10 (1), 16449, 2020 | 38* | 2020 |
| The intrinsic dimension of protein sequence evolution E Facco, A Pagnani, ET Russo, A Laio PLoS computational biology 15 (4), e1006767, 2019 | 33 | 2019 |
| Estimating the intrinsic dimension of datasets by a minimal neighborhood information. Sci. Rep. 7, 12140 E Facco, M d’Errico, A Rodriguez, A Laio | 7 | 2017 |
| Data classification based on the local intrinsic dimension M Allegra, E Facco, F Denti, A Laio, A Mira arXiv preprint arXiv:1902.10459, 2019 | 3 | 2019 |
| The intrinsic dimension of biological data landscapes E Facco SISSA, 2017 | 3 | 2017 |
| Reconstructing the topography of multidimensional probability landscapes E M Allegra, M d'Errico, E Facco, A Laio, A Rodriguez 50th Scientific meeting of the Italian Statistical Society, 2018 | | 2018 |
Alessandro LaioSISSA確認したメール アドレス: sissa.it
