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ORCIDAlexandra M. Carvalho
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2020 – today
- 2023
[j18]Luísa Marote Costa, João Pedro Colaço, Alexandra M. Carvalho
, Susana Vinga, Andreia Sofia Teixeira:
Using Markov chains and temporal alignment to identify clinical patterns in Dementia. J. Biomed. Informatics 140: 104328 (2023)- [j17]Diogo Azevedo, Ana Maria Rodrigues, Helena Canhão, Alexandra M. Carvalho, André Souto:
Zgli: A Pipeline for Clustering by Compression with Application to Patient Stratification in Spondyloarthritis. Sensors 23(3): 1219 (2023) - [c20]Ana Rita Baião, Carolina Peixoto, Marta B. Lopes, Pedro Reis Costa, Alexandra M. Carvalho, Susana Vinga:
Evaluating the Causal Role of Environmental Data in Shellfish Biotoxin Contamination on the Portuguese Coast. EPIA (2) 2023: 325-337 - [c19]Diogo Ribeiro, Filipe Ferraz, Marta B. Lopes, Susana Rodrigues, Pedro Reis Costa, Susana Vinga, Alexandra M. Carvalho:
Causal Graph Discovery for Explainable Insights on Marine Biotoxin Shellfish Contamination. IDEAL 2023: 483-494 - [c18]Filipe Ferraz, Diogo Ribeiro, Marta B. Lopes, Sónia Pedro, Susana Vinga, Alexandra M. Carvalho:
Comparative Analysis of Machine Learning Models for Time-Series Forecasting of Escherichia Coli Contamination in Portuguese Shellfish Production Areas. LOD (1) 2023: 174-188 - 2022
- [j16]Bruno Mera, Paulo Mateus, Alexandra M. Carvalho:
Model Complexity in Statistical Manifolds: The Role of Curvature. IEEE Trans. Inf. Theory 68(9): 5619-5636 (2022) - 2021
- [j15]Cláudia S. Constantino, Alexandra M. Carvalho, Susana Vinga:
Coupling sparse Cox models with clustering of longitudinal transcriptomics data for trauma prognosis. BioData Min. 14(1): 25 (2021) - [j14]Tiago Leão, Sara C. Madeira, Marta Gromicho, Mamede de Carvalho, Alexandra M. Carvalho:
Learning dynamic Bayesian networks from time-dependent and time-independent data: Unraveling disease progression in Amyotrophic Lateral Sclerosis. J. Biomed. Informatics 117: 103730 (2021) - 2020
- [j13]Mariano Lemus, João P. Beirão, Nikola Paunkovic, Alexandra M. Carvalho, Paulo Mateus:
Information-Theoretical Criteria for Characterizing the Earliness of Time-Series Data. Entropy 22(1): 49 (2020) - [c17]Joana Godinho, Alexandra M. Carvalho, Susana Vinga:
Latent Variable Modelling and Variational Inference for scRNA-seq Differential Expression Analysis. ICCABS 2020: 56-68 - [c16]André Ferreira, Sara C. Madeira, Marta Gromicho, Mamede de Carvalho, Susana Vinga, Alexandra M. Carvalho:
Predictive Medicine Using Interpretable Recurrent Neural Networks. ICPR Workshops (1) 2020: 187-202 - [c15]Cláudia S. Constantino, Alexandra M. Carvalho, Susana Vinga:
Sparse Consensus Classification for Discovering Novel Biomarkers in Rheumatoid Arthritis. LOD (1) 2020: 125-136 - [i1]Bruno Mera, Paulo Mateus, Alexandra M. Carvalho:
On the minmax regret for statistical manifolds: the role of curvature. CoRR abs/2007.02904 (2020)
2010 – 2019
- 2019
- [j12]Hugo Loureiro, Eunice Carrasquinha, Irina Alho, Arlindo R. Ferreira, Luís Costa, Alexandra M. Carvalho, Susana Vinga:
Modelling cancer outcomes of bone metastatic patients: combining survival data with N-Telopeptide of type I collagen (NTX) dynamics through joint models. BMC Medical Informatics Decis. Mak. 19(1): 13:1-13:12 (2019) - [j11]Kishan Rama, Helena Canhão, Alexandra M. Carvalho, Susana Vinga:
AliClu - Temporal sequence alignment for clustering longitudinal clinical data. BMC Medical Informatics Decis. Mak. 19(1): 289 (2019) - [c14]Manuel Anacleto, Susana Vinga, Alexandra M. Carvalho:
MSAX: Multivariate Symbolic Aggregate Approximation for Time Series Classification. CIBB 2019: 90-97 - 2018
- [j10]Rui P. Guerra, Alexandra M. Carvalho, Paulo Mateus:
Model selection for clustering of pharmacokinetic responses. Comput. Methods Programs Biomed. 162: 11-18 (2018) - [j9]Margarida Sousa, Alexandra M. Carvalho:
Polynomial-Time Algorithm for Learning Optimal BFS-Consistent Dynamic Bayesian Networks. Entropy 20(4): 274 (2018) - [c13]Pedro F. Ferreira, Alexandra M. Carvalho, Susana Vinga:
Variational Inference in Probabilistic Single-cell RNA-seq Models. CIBB 2018: 11-18 - [c12]João Villa-Brito, Marta B. Lopes, Alexandra M. Carvalho, Susana Vinga:
Unravelling Breast and Prostate Common Gene Signatures by Bayesian Network Learning. CIBB 2018: 285-292 - [c11]Margarida Sousa, Alexandra M. Carvalho:
Learning Consistent Tree-Augmented Dynamic Bayesian Networks. LOD 2018: 179-190 - 2017
- [j8]Elson Tomás, Susana Vinga, Alexandra M. Carvalho:
Unsupervised learning of pharmacokinetic responses. Comput. Stat. 32(2): 409-428 (2017) - 2015
- [c10]João Diogo Pinto, Alexandra M. Carvalho, Susana Vinga:
Outlier Detection in Survival Analysis based on the Concordance C-index. BIOINFORMATICS 2015: 75-82 - [c9]João Diogo Pinto, Alexandra M. Carvalho, Susana Vinga:
Outlier Detection in Cox Proportional Hazards Models Based on the Concordance c-Index. MOD 2015: 252-256 - [c8]José L. Monteiro, Susana Vinga, Alexandra M. Carvalho:
Polynomial-time algorithm for learning optimal tree-augmented dynamic Bayesian networks. UAI 2015: 622-631 - 2014
- [j7]Alexandra M. Carvalho, Pedro Adão, Paulo Mateus:
Hybrid learning of Bayesian multinets for binary classification. Pattern Recognit. 47(10): 3438-3450 (2014) - 2013
- [j6]Alexandra M. Carvalho, Pedro Adão, Paulo Mateus:
Efficient Approximation of the Conditional Relative Entropy with Applications to Discriminative Learning of Bayesian Network Classifiers. Entropy 15(7): 2716-2735 (2013) - [c7]Cecília Nunes, Dina Silva, Manuela Guerreiro, Alexandre de Mendonça, Alexandra M. Carvalho, Sara C. Madeira:
Class Imbalance in the Prediction of Dementia from Neuropsychological Data. EPIA 2013: 138-151 - 2012
- [j5]Susana Vinga, Alexandra M. Carvalho, Alexandre P. Francisco, Luís M. S. Russo, Jonas S. Almeida:
Pattern matching through Chaos Game Representation: bridging numerical and discrete data structures for biological sequence analysis. Algorithms Mol. Biol. 7: 10 (2012) - 2011
- [b1]Alexandra M. Carvalho:
Motif representation and discovery. Technical University of Lisbon, Portugal, 2011 - [j4]Alexandra M. Carvalho, Arlindo L. Oliveira:
GRISOTTO: A greedy approach to improve combinatorial algorithms for motif discovery with prior knowledge. Algorithms Mol. Biol. 6: 13 (2011) - [j3]Alexandra M. Carvalho, Teemu Roos, Arlindo L. Oliveira, Petri Myllymäki:
Discriminative Learning of Bayesian Networks via Factorized Conditional Log-Likelihood. J. Mach. Learn. Res. 12: 2181-2210 (2011)
2000 – 2009
- 2008
- [j2]Pedro T. Monteiro, Nuno D. Mendes, Miguel C. Teixeira, Sofia d'Orey, Sandra Tenreiro, Nuno P. Mira, Hélio Pais, Alexandre P. Francisco, Alexandra M. Carvalho, Artur B. Lourenço, Isabel Sá-Correia, Arlindo L. Oliveira, Ana T. Freitas:
YEASTRACT-DISCOVERER: new tools to improve the analysis of transcriptional regulatory associations in Saccharomyces cerevisiae. Nucleic Acids Res. 36(Database-Issue): 132-136 (2008) - 2007
- [c6]Alexandra M. Carvalho, Arlindo L. Oliveira, Marie-France Sagot:
Efficient Learning of Bayesian Network Classifiers. Australian Conference on Artificial Intelligence 2007: 16-25 - [c5]Alexandra M. Carvalho, Arlindo L. Oliveira:
Learning bayesian networks consistent with the optimal branching. ICMLA 2007: 369-374 - 2006
- [j1]Alexandra M. Carvalho, Ana T. Freitas, Arlindo L. Oliveira, Marie-France Sagot:
An Efficient Algorithm for the Identification of Structured Motifs in DNA Promoter Sequences. IEEE ACM Trans. Comput. Biol. Bioinform. 3(2): 126-140 (2006) - [c4]Nadia Pisanti, Alexandra M. Carvalho, Laurent Marsan, Marie-France Sagot:
RISOTTO: Fast Extraction of Motifs with Mismatches. LATIN 2006: 757-768 - 2005
- [c3]Alexandra M. Carvalho, Ana T. Freitas, Arlindo L. Oliveira, Marie-France Sagot:
A highly scalable algorithm for the extraction of CIS-regulatory regions. APBC 2005: 273-282 - 2004
- [c2]Alexandra M. Carvalho, Arlindo L. Oliveira, Ana T. Freitas, Marie-France Sagot:
A parallel algorithm for the extraction of structured motifs. SAC 2004: 147-153 - [c1]Alexandra M. Carvalho, Ana T. Freitas, Arlindo L. Oliveira, Marie-France Sagot:
Efficient Extraction of Structured Motifs Using Box-Links. SPIRE 2004: 267-268
Coauthor Index
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