| YEASTRACT-DISCOVERER: new tools to improve the analysis of transcriptional regulatory associations in Saccharomyces cerevisiae PT Monteiro, ND Mendes, MC Teixeira, S d’Orey, S Tenreiro, NP Mira, ... Nucleic acids research 36 (suppl_1), D132-D136, 2007 | 200 | 2007 |
| RISOTTO: Fast extraction of motifs with mismatches N Pisanti, AM Carvalho, L Marsan, MF Sagot LATIN 2006: Theoretical Informatics, 757-768, 2006 | 137 | 2006 |
| Scoring functions for learning Bayesian networks AM Carvalho Inesc-id Tec. Rep 12, 1-48, 2009 | 133 | 2009 |
| An efficient algorithm for the identification of structured motifs in DNA promoter sequences AM Carvalho, AT Freitas, AL Oliveira, MF Sagot IEEE/ACM Transactions on Computational Biology and Bioinformatics 3 (2), 126-140, 2006 | 77 | 2006 |
| Discriminative Learning of Bayesian Networks via Factorized Conditional Log-Likelihood AM Carvalho, T Roos, AL Oliveira, P Myllymäki The Journal of Machine Learning Research 7, 2181-2210, 2011 | 72 | 2011 |
| A highly scalable algorithm for the extraction of cis-regulatory regions AM Carvalho, AT Freitas, AL Oliveira, MF Sagot Proceedings Of The 3rd Asia-Pacific Bioinformatics Conference, 273-282, 2005 | 66 | 2005 |
| Pattern matching through Chaos Game Representation: bridging numerical and discrete data structures for biological sequence analysis S Vinga, AM Carvalho, AP Francisco, LMS Russo, JS Almeida Algorithms for Molecular Biology 7, 1-12, 2012 | 43 | 2012 |
| A parallel algorithm for the extraction of structured motifs AM Carvalho, AL Oliveira, AT Freitas, MF Sagot Proceedings of the 2004 ACM symposium on Applied computing, 147-153, 2004 | 43 | 2004 |
| Efficient extraction of structured motifs using box-links AM Carvalho, AT Freitas, AL Oliveira, MF Sagot String Processing and Information Retrieval, 51-68, 2004 | 30 | 2004 |
| Efficient Learning of Bayesian Network Classifiers AM Carvalho, AL Oliveira, MF Sagot AI 2007: Advances in Artificial Intelligence, 16-25, 2007 | 27* | 2007 |
| Learning dynamic Bayesian networks from time-dependent and time-independent data: Unraveling disease progression in Amyotrophic Lateral Sclerosis T Leao, SC Madeira, M Gromicho, M de Carvalho, AM Carvalho Journal of Biomedical Informatics 117, 103730, 2021 | 22 | 2021 |
| Efficient approximation of the conditional relative entropy with applications to discriminative learning of Bayesian network classifiers AM Carvalho, P Adao, P Mateus Entropy 15 (7), 2716-2735, 2013 | 22 | 2013 |
| Towards a smart city security model exploring smart cities elements based on nowadays solutions F Ferraz, C Sampaio, C Ferraz, G Alexandre, A Carvalho ICSEA 2013, 546-550, 2013 | 21 | 2013 |
| Polynomial-time algorithm for learning optimal tree-augmented dynamic Bayesian networks JL Monteiro, S Vinga, AM Carvalho 31st Conference on Uncertainty in Artificial Intelligence (UAI'15), 622-631, 2015 | 17 | 2015 |
| Learning Bayesian networks consistent with the optimal branching AM Carvalho, AL Oliveira Sixth International Conference on Machine Learning and Applications (ICMLA …, 2007 | 16 | 2007 |
| Hybrid learning of Bayesian multinets for binary classification AM Carvalho, P Adao, P Mateus Pattern recognition 47 (10), 3438-3450, 2014 | 15 | 2014 |
| AliClu-Temporal sequence alignment for clustering longitudinal clinical data K Rama, H Canhão, AM Carvalho, S Vinga BMC medical informatics and decision making 19, 1-11, 2019 | 12 | 2019 |
| Outlier detection in survival analysis based on the concordance c-index JD Pinto, AM Carvalho, S Vinga 6th International Conference on BIOINFORMATICS, 75-82, 2015 | 12 | 2015 |
| Class imbalance in the prediction of dementia from neuropsychological data C Nunes, D Silva, M Guerreiro, A Mendonça, AM Carvalho, SM Madeira Progress in Artificial Intelligence, Selected Papers from EPIA'13, LNCS 8154 …, 2013 | 12 | 2013 |
| Dynamic Bayesian networks for stratification of disease progression in amyotrophic lateral sclerosis M Gromicho, T Leão, M Oliveira Santos, S Pinto, AM Carvalho, ... European Journal of Neurology 29 (8), 2201-2210, 2022 | 11 | 2022 |
Susana VingaINESC-ID, Instituto Superior Técnico, Universidade de Lisboatecnico.ulisboa.pt의 이메일 확인됨
