Alexandra M. Carvalho
Orcid: 0000-0001-6607-7711
According to our database1,
Alexandra M. Carvalho
authored at least 40 papers
between 2004 and 2023.
Collaborative distances:
Collaborative distances:
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Bibliography
2023
Using Markov chains and temporal alignment to identify clinical patterns in Dementia.
J. Biomed. Informatics, April, 2023
Zgli: A Pipeline for Clustering by Compression with Application to Patient Stratification in Spondyloarthritis.
Sensors, February, 2023
Comparative Analysis of Machine Learning Models for Time-Series Forecasting of Escherichia Coli Contamination in Portuguese Shellfish Production Areas.
Proceedings of the Machine Learning, Optimization, and Data Science, 2023
Causal Graph Discovery for Explainable Insights on Marine Biotoxin Shellfish Contamination.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2023, 2023
Evaluating the Causal Role of Environmental Data in Shellfish Biotoxin Contamination on the Portuguese Coast.
Proceedings of the Progress in Artificial Intelligence, 2023
2022
IEEE Trans. Inf. Theory, 2022
2021
Learning dynamic Bayesian networks from time-dependent and time-independent data: Unraveling disease progression in Amyotrophic Lateral Sclerosis.
J. Biomed. Informatics, 2021
Coupling sparse Cox models with clustering of longitudinal transcriptomics data for trauma prognosis.
BioData Min., 2021
2020
Information-Theoretical Criteria for Characterizing the Earliness of Time-Series Data.
Entropy, 2020
Sparse Consensus Classification for Discovering Novel Biomarkers in Rheumatoid Arthritis.
Proceedings of the Machine Learning, Optimization, and Data Science, 2020
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020
Latent Variable Modelling and Variational Inference for scRNA-seq Differential Expression Analysis.
Proceedings of the Computational Advances in Bio and Medical Sciences, 2020
2019
BMC Medical Informatics Decis. Mak., 2019
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., 2019
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2019
2018
Polynomial-Time Algorithm for Learning Optimal BFS-Consistent Dynamic Bayesian Networks.
Entropy, 2018
Comput. Methods Programs Biomed., 2018
Proceedings of the Machine Learning, Optimization, and Data Science, 2018
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2018
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2018
2017
2015
Polynomial-time algorithm for learning optimal tree-augmented dynamic Bayesian networks.
Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015
Outlier Detection in Cox Proportional Hazards Models Based on the Concordance c-Index.
Proceedings of the Machine Learning, Optimization, and Big Data, 2015
Outlier Detection in Survival Analysis based on the Concordance C-index.
Proceedings of the BIOINFORMATICS 2015, 2015
2014
Pattern Recognit., 2014
2013
Efficient Approximation of the Conditional Relative Entropy with Applications to Discriminative Learning of Bayesian Network Classifiers.
Entropy, 2013
Proceedings of the Progress in Artificial Intelligence, 2013
2012
Pattern matching through Chaos Game Representation: bridging numerical and discrete data structures for biological sequence analysis.
Algorithms Mol. Biol., 2012
2011
Discriminative Learning of Bayesian Networks via Factorized Conditional Log-Likelihood.
J. Mach. Learn. Res., 2011
GRISOTTO: A greedy approach to improve combinatorial algorithms for motif discovery with prior knowledge.
Algorithms Mol. Biol., 2011
2008
YEASTRACT-DISCOVERER: new tools to improve the analysis of transcriptional regulatory associations in <i>Saccharomyces cerevisiae</i>.
Nucleic Acids Res., 2008
2007
Proceedings of the Sixth International Conference on Machine Learning and Applications, 2007
Proceedings of the AI 2007: Advances in Artificial Intelligence, 2007
2006
An Efficient Algorithm for the Identification of Structured Motifs in DNA Promoter Sequences.
IEEE ACM Trans. Comput. Biol. Bioinform., 2006
Proceedings of the LATIN 2006: Theoretical Informatics, 2006
2005
Proceedings of 3rd Asia-Pacific Bioinformatics Conference, 17-21 January 2005, Singapore, 2005
2004
Proceedings of the String Processing and Information Retrieval, 2004
Proceedings of the 2004 ACM Symposium on Applied Computing (SAC), 2004