Alexandra M. Carvalho

41 papers A 1B 2C 3Misc 2Journal 19Unranked 13

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Causality in Categorical Data Using Geometric Complexity. IDEAL (1) Alexandra M. Carvalho, Diogo Cruz, Paulo Mateus, Bruno Mera
2023	C	`conf`	Causal Graph Discovery for Explainable Insights on Marine Biotoxin Shellfish Contamination. IDEAL Diogo Ribeiro, Filipe Ferraz, Marta B. Lopes, Susana Rodrigues, Pedro Reis Costa, Susana Vinga, Alexandra M. Carvalho
2023	—	`conf`	Comparative Analysis of Machine Learning Models for Time-Series Forecasting of Escherichia Coli Contamination in Portuguese Shellfish Production Areas. LOD (1) Filipe Ferraz, Diogo Ribeiro, Marta B. Lopes, Sónia Pedro, Susana Vinga, Alexandra M. Carvalho
2023	—	`conf`	Evaluating the Causal Role of Environmental Data in Shellfish Biotoxin Contamination on the Portuguese Coast. EPIA (2) Ana Rita Baião, Carolina Peixoto, Marta B. Lopes, Pedro Reis Costa, Alexandra M. Carvalho, Susana Vinga
2023	J	`jnl`	Using Markov chains and temporal alignment to identify clinical patterns in Dementia. J. Biomed. Informatics Luísa Marote Costa, João Pedro Colaço, Alexandra M. Carvalho, Susana Vinga, Andreia Sofia Teixeira
2023	J	`jnl`	Zgli: A Pipeline for Clustering by Compression with Application to Patient Stratification in Spondyloarthritis. Sensors Diogo Azevedo, Ana Maria Rodrigues, Helena Canhão, Alexandra M. Carvalho, André Souto
2022	J	`jnl`	Model Complexity in Statistical Manifolds: The Role of Curvature. IEEE Trans. Inf. Theory Bruno Mera, Paulo Mateus, Alexandra M. Carvalho
2021	J	`jnl`	Coupling sparse Cox models with clustering of longitudinal transcriptomics data for trauma prognosis. BioData Min. Cláudia S. Constantino, Alexandra M. Carvalho, Susana Vinga
2021	J	`jnl`	Learning dynamic Bayesian networks from time-dependent and time-independent data: Unraveling disease progression in Amyotrophic Lateral Sclerosis. J. Biomed. Informatics Tiago Leão, Sara C. Madeira, Marta Gromicho, Mamede de Carvalho, Alexandra M. Carvalho
2020	J	`jnl`	Information-Theoretical Criteria for Characterizing the Earliness of Time-Series Data. Entropy Mariano Lemus, João P. Beirão, Nikola Paunkovic, Alexandra M. Carvalho, Paulo Mateus
2020	—	`conf`	Latent Variable Modelling and Variational Inference for scRNA-seq Differential Expression Analysis. ICCABS Joana Godinho, Alexandra M. Carvalho, Susana Vinga
2020	J	`jnl`	On the minmax regret for statistical manifolds: the role of curvature. CoRR Bruno Mera, Paulo Mateus, Alexandra M. Carvalho
2020	—	`conf`	Predictive Medicine Using Interpretable Recurrent Neural Networks. ICPR Workshops (1) André Ferreira, Sara C. Madeira, Marta Gromicho, Mamede de Carvalho, Susana Vinga, Alexandra M. Carvalho
2020	—	`conf`	Sparse Consensus Classification for Discovering Novel Biomarkers in Rheumatoid Arthritis. LOD (1) Cláudia S. Constantino, Alexandra M. Carvalho, Susana Vinga
2019	J	`jnl`	AliClu - Temporal sequence alignment for clustering longitudinal clinical data. BMC Medical Informatics Decis. Mak. Kishan Rama, Helena Canhão, Alexandra M. Carvalho, Susana Vinga
2019	—	`conf`	MSAX: Multivariate Symbolic Aggregate Approximation for Time Series Classification. CIBB Manuel Anacleto, Susana Vinga, Alexandra M. Carvalho
2019	J	`jnl`	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. Hugo Loureiro, Eunice Carrasquinha, Irina Alho, Arlindo R. Ferreira, Luís Costa, Alexandra M. Carvalho, Susana Vinga
2018	—	`conf`	Learning Consistent Tree-Augmented Dynamic Bayesian Networks. LOD Margarida Sousa, Alexandra M. Carvalho
2018	J	`jnl`	Model selection for clustering of pharmacokinetic responses. Comput. Methods Programs Biomed. Rui P. Guerra, Alexandra M. Carvalho, Paulo Mateus
2018	J	`jnl`	Polynomial-Time Algorithm for Learning Optimal BFS-Consistent Dynamic Bayesian Networks. Entropy Margarida Sousa, Alexandra M. Carvalho
2018	—	`conf`	Unravelling Breast and Prostate Common Gene Signatures by Bayesian Network Learning. CIBB João Villa-Brito, Marta B. Lopes, Alexandra M. Carvalho, Susana Vinga
2018	—	`conf`	Variational Inference in Probabilistic Single-cell RNA-seq Models. CIBB Pedro F. Ferreira, Alexandra M. Carvalho, Susana Vinga
2017	J	`jnl`	Unsupervised learning of pharmacokinetic responses. Comput. Stat. Elson Tomás, Susana Vinga, Alexandra M. Carvalho
2015	—	`conf`	Outlier Detection in Cox Proportional Hazards Models Based on the Concordance c-Index. MOD João Diogo Pinto, Alexandra M. Carvalho, Susana Vinga
2015	—	`conf`	Outlier Detection in Survival Analysis based on the Concordance C-index. BIOINFORMATICS João Diogo Pinto, Alexandra M. Carvalho, Susana Vinga
2015	A	`conf`	Polynomial-time algorithm for learning optimal tree-augmented dynamic Bayesian networks. UAI José L. Monteiro, Susana Vinga, Alexandra M. Carvalho
2014	J	`jnl`	Hybrid learning of Bayesian multinets for binary classification. Pattern Recognit. Alexandra M. Carvalho, Pedro Adão, Paulo Mateus
2013	Misc	`conf`	Class Imbalance in the Prediction of Dementia from Neuropsychological Data. EPIA Cecília Nunes, Dina Silva, Manuela Guerreiro, Alexandre de Mendonça, Alexandra M. Carvalho, Sara C. Madeira
2013	J	`jnl`	Efficient Approximation of the Conditional Relative Entropy with Applications to Discriminative Learning of Bayesian Network Classifiers. Entropy Alexandra M. Carvalho, Pedro Adão, Paulo Mateus
2012	J	`jnl`	Pattern matching through Chaos Game Representation: bridging numerical and discrete data structures for biological sequence analysis. Algorithms Mol. Biol. Susana Vinga, Alexandra M. Carvalho, Alexandre P. Francisco, Luís M. S. Russo, Jonas S. Almeida
2011	J	`jnl`	Discriminative Learning of Bayesian Networks via Factorized Conditional Log-Likelihood. J. Mach. Learn. Res. Alexandra M. Carvalho, Teemu Roos, Arlindo L. Oliveira, Petri Myllymäki
2011	J	`jnl`	GRISOTTO: A greedy approach to improve combinatorial algorithms for motif discovery with prior knowledge. Algorithms Mol. Biol. Alexandra M. Carvalho, Arlindo L. Oliveira
2011	—	`—`	Motif representation and discovery. Alexandra M. Carvalho
2008	J	`jnl`	YEASTRACT-DISCOVERER: new tools to improve the analysis of transcriptional regulatory associations in Nucleic Acids Res. 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
2007	—	`conf`	Efficient Learning of Bayesian Network Classifiers. Australian Conference on Artificial Intelligence Alexandra M. Carvalho, Arlindo L. Oliveira, Marie-France Sagot
2007	C	`conf`	Learning bayesian networks consistent with the optimal branching. ICMLA Alexandra M. Carvalho, Arlindo L. Oliveira
2006	J	`jnl`	An Efficient Algorithm for the Identification of Structured Motifs in DNA Promoter Sequences. IEEE ACM Trans. Comput. Biol. Bioinform. Alexandra M. Carvalho, Ana T. Freitas, Arlindo L. Oliveira, Marie-France Sagot
2006	B	`conf`	RISOTTO: Fast Extraction of Motifs with Mismatches. LATIN Nadia Pisanti, Alexandra M. Carvalho, Laurent Marsan, Marie-France Sagot
2005	B	`conf`	A highly scalable algorithm for the extraction of CIS-regulatory regions. APBC Alexandra M. Carvalho, Ana T. Freitas, Arlindo L. Oliveira, Marie-France Sagot
2004	Misc	`conf`	A parallel algorithm for the extraction of structured motifs. SAC Alexandra M. Carvalho, Arlindo L. Oliveira, Ana T. Freitas, Marie-France Sagot
2004	C	`conf`	Efficient Extraction of Structured Motifs Using Box-Links. SPIRE Alexandra M. Carvalho, Ana T. Freitas, Arlindo L. Oliveira, Marie-France Sagot