| Exact mean first-passage time on the T-graph E Agliari Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 77 (1 …, 2008 | 147 | 2008 |
| Multitasking associative networks E Agliari, A Barra, A Galluzzi, F Guerra, F Moauro Physical review letters 109 (26), 268101, 2012 | 146 | 2012 |
| Quantum-walk approach to searching on fractal structures E Agliari, A Blumen, O Muelken Physical Review A—Atomic, Molecular, and Optical Physics 82 (1), 012305, 2010 | 109 | 2010 |
| Exact calculations of first-passage quantities on recursive networks B Meyer, E Agliari, O Bénichou, R Voituriez Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 85 (2 …, 2012 | 105 | 2012 |
| Cancer-driven dynamics of immune cells in a microfluidic environment E Agliari, E Biselli, A De Ninno, G Schiavoni, L Gabriele, A Gerardino, ... Scientific reports 4 (1), 6639, 2014 | 100 | 2014 |
| Random walks on deterministic scale-free networks: Exact results E Agliari, R Burioni Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 80 (3 …, 2009 | 96 | 2009 |
| Organs on chip approach: a tool to evaluate cancer-immune cells interactions E Biselli, E Agliari, A Barra, FR Bertani, A Gerardino, A De Ninno, ... Scientific reports 7 (1), 12737, 2017 | 94 | 2017 |
| Immune networks: multitasking capabilities near saturation E Agliari, A Annibale, A Barra, ACC Coolen, D Tantari Journal of Physics A: Mathematical and Theoretical 46 (41), 415003, 2013 | 87 | 2013 |
| Dreaming neural networks: forgetting spurious memories and reinforcing pure ones A Fachechi, E Agliari, A Barra Neural Networks 112, 24-40, 2019 | 78 | 2019 |
| Dynamics of continuous-time quantum walks in restricted geometries E Agliari, A Blumen, O Mülken Journal of Physics A: Mathematical and Theoretical 41 (44), 445301, 2008 | 73 | 2008 |
| Retrieval capabilities of hierarchical networks: From Dyson to Hopfield E Agliari, A Barra, A Galluzzi, F Guerra, D Tantari, F Tavani Physical review letters 114 (2), 1-5, 2015 | 71 | 2015 |
| The emergence of a concept in shallow neural networks E Agliari, F Alemanno, A Barra, G De Marzo Neural Networks 148, 232-253, 2022 | 68 | 2022 |
| Boltzmann machines as generalized Hopfield networks: a review of recent results and outlooks C Marullo, E Agliari Entropy 23 (1), 34, 2020 | 65 | 2020 |
| Detecting cardiac pathologies via machine learning on heart-rate variability time series and related markers E Agliari, A Barra, OA Barra, A Fachechi, L Franceschi Vento, L Moretti Scientific Reports 10 (1), 8845, 2020 | 63 | 2020 |
| Efficiency of information spreading in a population of diffusing agents E Agliari, R Burioni, D Cassi, FM Neri Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 73 (4 …, 2006 | 57 | 2006 |
| Neural networks with a redundant representation: Detecting the undetectable E Agliari, F Alemanno, A Barra, M Centonze, A Fachechi Physical review letters 124 (2), 028301, 2020 | 53 | 2020 |
| A thermodynamic perspective of immune capabilities E Agliari, A Barra, F Guerra, F Moauro Journal of theoretical biology 287, 48-63, 2011 | 53 | 2011 |
| Machine learning and statistical physics: theory, inspiration, application E Agliari, A Barra, P Sollich, L Zdeborová J. Phys. A, 2020 | 52 | 2020 |
| Parallel retrieval of correlated patterns: From Hopfield networks to Boltzmann machines E Agliari, A Barra, A De Antoni, A Galluzzi Neural Networks 38, 52-63, 2013 | 52 | 2013 |
| Supervised hebbian learning F Alemanno, M Aquaro, I Kanter, A Barra, E Agliari Europhysics Letters 141 (1), 11001, 2023 | 51 | 2023 |
Adriano BarraSapienza Università di RomaVerified email at roma1.infn.it
