| Quantification of network structural dissimilarities TA Schieber, L Carpi, A Díaz-Guilera, PM Pardalos, C Masoller, ... Nature communications 8 (1), 13928, 2017 | 256 | 2017 |
| Assessing diversity in multiplex networks LC Carpi, TA Schieber, PM Pardalos, G Marfany, C Masoller, ... Scientific reports 9 (1), 4511, 2019 | 48 | 2019 |
| Information theory perspective on network robustness TA Schieber, L Carpi, AC Frery, OA Rosso, PM Pardalos, MG Ravetti Physics Letters A 380 (3), 359-364, 2016 | 43 | 2016 |
| Critical percolation on a Bethe lattice revisited GA Braga, R Sanchis, TA Schieber SIAM review 47 (2), 349-365, 2005 | 17 | 2005 |
| Simulating the dynamics of scale-free networks via optimization TA Schieber, MG Ravetti Plos one 8 (12), e80783, 2013 | 8 | 2013 |
| Diffusion capacity of single and interconnected networks TA Schieber, LC Carpi, PM Pardalos, C Masoller, A Díaz-Guilera, ... Nature communications 14 (1), 2217, 2023 | 6 | 2023 |
| Quantification of network structural dissimilarities, Nat. Commun., 8, 13928 TA Schieber, L Carpi, A Díaz-Guilera, PM Pardalos, C Masoller, ... | 5 | 2017 |
| Dynamics of Information Systems RV Belavkin, K Pham, M Pachter, M Pachter, K Pham, TA Schieber, ... Springer, 2010 | 5 | 2010 |
| A review on network robustness from an information theory perspective T Schieber, M Ravetti, PM Pardalos Discrete Optimization and Operations Research: 9th International Conference …, 2016 | 4 | 2016 |
| Percolaçao para Principiantes GA Braga, MM Oliveira, R Sanchis, TA Schieber UFMG. Disponível em< http://www. mat. ufmg. br/rsanchis/Artigos …, 2002 | 3 | 2002 |
| Prediction of inhibitor development in previously untreated and minimally treated children with severe and moderately-severe hemophilia A using a machine-learning network LL Jardim, TA Schieber, MP Santana, MH Cerqueira, CS Lorenzato, ... Journal of Thrombosis and Haemostasis, 2024 | 1 | 2024 |
| Evaluation of the copycat model for predicting complex network growth TA Schieber, LC Carpi, MG Ravetti Dynamics of Information Systems: Computational and Mathematical Challenges …, 2014 | 1 | 2014 |
| OC 50.5 Prediction of Inhibitor Development in Previously Untreated Children with Hemophilia a using aMachine-Learning Network and Information Theory Quantifiers: Results from … L Jardim, TA Schieber, MP Santana, V Franco, M Cerqueira, ... Research and Practice in Thrombosis and Haemostasis 7, 2023 | | 2023 |
| Predição do desenvolvimento de inibidores em crianças com hemofilia a grave: análise por inteligência artificial do estudo HEMFIL LL Jardim, TA Schieber, MP Santana, MH Cerqueira, CS Lorenzato, ... Hematology, Transfusion and Cell Therapy 45, S470, 2023 | | 2023 |
| Network diffusion capacity unveiled by dynamical paths TA Schieber, LC Carpi, PM Pardalos, C Masoller, A Díaz-Guilera, ... arXiv preprint arXiv:2104.10736, 2021 | | 2021 |
| A New Network Robustness Topology Measure based on Information Theory TA Schieber, L Carpi, AC Frery, OA Rosso, PM Pardalos, MG Ravetti CoRR, 2014 | | 2014 |
| Simulating the dynamics of scale-free networks via optimization-Supporting Information TA Schieber, MG Ravetti | | |
Martín Gómez RavettiUniversidade Federal de Minas Gerais - Department of Computer ScienceZweryfikowany adres z ufmg.br