Sara C. Madeira

90 papers B 7C 3Misc 11Journal 46Unranked 23
YearRankTypeTitle / Venue / Authors
2026 J jnl
Cutting through the noise: Explaining residuals in multivariate time series with motif analysis.
Pattern Recognit.
Miguel G. Silva, Sara C. Madeira, Rui Henriques
2026 J jnl
PatientFlow: Learning to generate mixed-type longitudinal clinical data with flow matching.
Artif. Intell. Medicine
Ruben Branco, Marta Gromicho, Mamede de Carvalho, Piero Fariselli, Sara C. Madeira
2025 — conf
The Next Motif: Tapping into Recurrence Dynamics and Precursor Signals to Forecast Events of Interest.
AALTD@ECML/PKDD
Miguel G. Silva, Sara C. Madeira, Rui Henriques
2025 J jnl
TriHSPAM: Triclustering heterogeneous longitudinal clinical data using sequential patterns.
Pattern Recognit.
Diogo F. Soares, Rui Henriques, Sara C. Madeira
2024 J jnl
A Comprehensive Survey on Biclustering-based Collaborative Filtering.
ACM Comput. Surv.
Miguel G. Silva, Sara C. Madeira, Rui Henriques
2024 J jnl
Biclustering data analysis: a comprehensive survey.
Briefings Bioinform.
Eduardo N. Castanho, Helena Aidos, Sara C. Madeira
2024 J jnl
Comprehensive assessment of triclustering algorithms for three-way temporal data analysis.
Pattern Recognit.
Diogo F. Soares, Rui Henriques, Sara C. Madeira
2024 J jnl
Correction: G-bic: generating synthetic benchmarks for biclustering.
BMC Bioinform.
Eduardo N. Castanho, João Lobo, Rui Henriques, Sara C. Madeira
2024 B conf
Deep Temporal Consensus Clustering for Patient Stratification in Amyotrophic Lateral Sclerosis.
ESANN
Miguel Pego Roque, Andreia S. Martins, Marta Gromicho, Mamede de Carvalho, Sara C. Madeira, Pedro Tomás, Helena Aidos
2024 — conf
Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2024.
CLEF (2)
Giovanni Birolo, Pietro Bosoni, Guglielmo Faggioli, Helena Aidos, Roberto Bergamaschi, Paola Cavalla, Adriano Chiò, Arianna Dagliati, Mamede de Carvalho, Giorgio Maria Di Nunzio, Piero Fariselli, Jose Manuel García Dominguez, Marta Gromicho, Alessandro Guazzo, Enrico Longato, Sara C. Madeira, Umberto Manera, Stefano Marchesin, Laura Menotti, Gianmaria Silvello, Eleonora Tavazzi, Erica Tavazzi, Isotta Trescato, Martina Vettoretti, Barbara Di Camillo, Nicola Ferro
2024 — conf
Overview of iDPP@CLEF 2024: The Intelligent Disease Progression Prediction Challenge.
CLEF (Working Notes)
Giovanni Birolo, Pietro Bosoni, Guglielmo Faggioli, Helena Aidos, Roberto Bergamaschi, Paola Cavalla, Adriano Chiò, Arianna Dagliati, Mamede de Carvalho, Giorgio Maria Di Nunzio, Piero Fariselli, Jose Manuel García Dominguez, Marta Gromicho, Alessandro Guazzo, Enrico Longato, Sara C. Madeira, Umberto Manera, Stefano Marchesin, Laura Menotti, Gianmaria Silvello, Eleonora Tavazzi, Erica Tavazzi, Isotta Trescato, Martina Vettoretti, Barbara Di Camillo, Nicola Ferro
2024 — conf
Predicting the Functional Rating Scale and Self-Assessment Status of ALS Patients with Sensor Data.
CLEF (Working Notes)
Andreia S. Martins, Daniela M. Amaral, Eduardo N. Castanho, Diogo F. Soares, Ruben Branco, Sara C. Madeira, Helena Aidos
2024 — conf
iDPP@CLEF 2024: The Intelligent Disease Progression Prediction Challenge.
ECIR (6)
Helena Aidos, Roberto Bergamaschi, Paola Cavalla, Adriano Chiò, Arianna Dagliati, Barbara Di Camillo, Mamede de Carvalho, Nicola Ferro, Piero Fariselli, Jose Manuel García Dominguez, Sara C. Madeira, Eleonora Tavazzi
2023 J jnl
Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review.
Artif. Intell. Medicine
Erica Tavazzi, Enrico Longato, Martina Vettoretti, Helena Aidos, Isotta Trescato, Chiara Roversi, Andreia S. Martins, Eduardo N. Castanho, Ruben Branco, Diogo F. Soares, Alessandro Guazzo, Giovanni Birolo, Daniele Pala, Pietro Bosoni, Adriano Chiò, Umberto Manera, Mamede de Carvalho, Bruno Miranda, Marta Gromicho, Inês Alves, Riccardo Bellazzi, Arianna Dagliati, Piero Fariselli, Sara C. Madeira, Barbara Di Camillo
2023 J jnl
G-bic: generating synthetic benchmarks for biclustering.
BMC Bioinform.
Eduardo N. Castanho, João Lobo, Rui Henriques, Sara C. Madeira
2023 — conf
Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2023.
CLEF
Guglielmo Faggioli, Alessandro Guazzo, Stefano Marchesin, Laura Menotti, Isotta Trescato, Helena Aidos, Roberto Bergamaschi, Giovanni Birolo, Paola Cavalla, Adriano Chiò, Arianna Dagliati, Mamede de Carvalho, Giorgio Maria Di Nunzio, Piero Fariselli, Jose Manuel García Dominguez, Marta Gromicho, Enrico Longato, Sara C. Madeira, Umberto Manera, Gianmaria Silvello, Eleonora Tavazzi, Erica Tavazzi, Martina Vettoretti, Barbara Di Camillo, Nicola Ferro
2023 — conf
Investigating the Impact of Environmental Data on ALS Prognosis with Survival Analysis.
CLEF (Working Notes)
Ruben Branco, Diogo F. Soares, Andreia S. Martins, Joana Barros Valente, Eduardo N. Castanho, Sara C. Madeira, Helena Aidos
2023 — conf
Overview of iDPP@CLEF 2023: The Intelligent Disease Progression Prediction Challenge.
CLEF (Working Notes)
Guglielmo Faggioli, Alessandro Guazzo, Stefano Marchesin, Laura Menotti, Isotta Trescato, Helena Aidos, Roberto Bergamaschi, Giovanni Birolo, Paola Cavalla, Adriano Chiò, Arianna Dagliati, Mamede de Carvalho, Giorgio Maria Di Nunzio, Piero Fariselli, Jose Manuel García Dominguez, Marta Gromicho, Enrico Longato, Sara C. Madeira, Umberto Manera, Gianmaria Silvello, Eleonora Tavazzi, Erica Tavazzi, Martina Vettoretti, Barbara Di Camillo, Nicola Ferro
2023 — conf
Survival Analysis for Multiple Sclerosis: Predicting Risk of Disease Worsening.
CLEF (Working Notes)
Ruben Branco, Joana Barros Valente, Andreia S. Martins, Diogo F. Soares, Eduardo N. Castanho, Sara C. Madeira, Helena Aidos
2023 — conf
iDPP@CLEF 2023: The Intelligent Disease Progression Prediction Challenge.
ECIR (3)
Helena Aidos, Roberto Bergamaschi, Paola Cavalla, Adriano Chiò, Arianna Dagliati, Barbara Di Camillo, Mamede de Carvalho, Nicola Ferro, Piero Fariselli, Jose Manuel García Dominguez, Sara C. Madeira, Eleonora Tavazzi
2022 J jnl
Biclustering fMRI time series: a comparative study.
BMC Bioinform.
Eduardo N. Castanho, Helena Aidos, Sara C. Madeira
2022 — conf
Explaining Artificial Intelligence Predictions of Disease Progression with Semantic Similarity.
CLEF (Working Notes)
Susana Nunes, Rita T. Sousa, Filipa Serrano, Ruben Branco, Diogo F. Soares, Andreia S. Martins, Eleonora Auletta, Eduardo N. Castanho, Sara C. Madeira, Helena Aidos, Catia Pesquita
2022 — conf
Hierarchical Modelling for ALS Prognosis: Predicting the Progression Towards Critical Events.
CLEF (Working Notes)
Ruben Branco, Diogo F. Soares, Andreia S. Martins, Eleonora Auletta, Eduardo N. Castanho, Susana Nunes, Filipa Serrano, Rita T. Sousa, Catia Pesquita, Sara C. Madeira, Helena Aidos
2022 J jnl
Impact of metrics on biclustering solution and quality: A review.
Pattern Recognit.
Marta D. M. Noronha, Rui Henriques, Sara C. Madeira, Luis E. Zárate
2022 — conf
Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2022.
CLEF
Alessandro Guazzo, Isotta Trescato, Enrico Longato, Enidia Hazizaj, Dennis Dosso, Guglielmo Faggioli, Giorgio Maria Di Nunzio, Gianmaria Silvello, Martina Vettoretti, Erica Tavazzi, Chiara Roversi, Piero Fariselli, Sara C. Madeira, Mamede de Carvalho, Marta Gromicho, Adriano Chiò, Umberto Manera, Arianna Dagliati, Giovanni Birolo, Helena Aidos, Barbara Di Camillo, Nicola Ferro
2022 J jnl
Learning Prognostic Models Using Disease Progression Patterns: Predicting the Need for Non-Invasive Ventilation in Amyotrophic Lateral Sclerosis.
IEEE ACM Trans. Comput. Biol. Bioinform.
Andreia S. Martins, Marta Gromicho, Susana Pinto, Mamede de Carvalho, Sara C. Madeira
2022 J jnl
Learning prognostic models using a mixture of biclustering and triclustering: Predicting the need for non-invasive ventilation in Amyotrophic Lateral Sclerosis.
J. Biomed. Informatics
Diogo F. Soares, Rui Henriques, Marta Gromicho, Mamede de Carvalho, Sara C. Madeira
2022 J jnl
Mining Actionable Patterns of Road Mobility From Heterogeneous Traffic Data Using Biclustering.
IEEE Trans. Intell. Transp. Syst.
Francisco Neves, Anna Carolina Finamore, Sara C. Madeira, Rui Henriques
2022 — conf
Overview of iDPP@CLEF 2022: The Intelligent Disease Progression Prediction Challenge.
CLEF (Working Notes)
Alessandro Guazzo, Isotta Trescato, Enrico Longato, Enidia Hazizaj, Dennis Dosso, Guglielmo Faggioli, Giorgio Maria Di Nunzio, Gianmaria Silvello, Martina Vettoretti, Erica Tavazzi, Chiara Roversi, Piero Fariselli, Sara C. Madeira, Mamede de Carvalho, Marta Gromicho, Adriano Chiò, Umberto Manera, Arianna Dagliati, Giovanni Birolo, Helena Aidos, Barbara Di Camillo, Nicola Ferro
2022 J jnl
Posture Risk Assessment in an Automotive Assembly Line Using Inertial Sensors.
IEEE Access
Maria Lua Nunes, Duarte Folgado, Carlos Fujão, Luís Silva, João Rodrigues, Pedro Matias, Marília Barandas, André V. Carreiro, Sara C. Madeira, Hugo Gamboa
2022 J jnl
User-Specific Bicluster-based Collaborative Filtering: Handling Preference Locality, Sparsity and Subjectivity.
CoRR
Miguel G. Silva, Rui Henriques, Sara C. Madeira
2021 J jnl
FleBiC: Learning classifiers from high-dimensional biomedical data using discriminative biclusters with non-constant patterns.
Pattern Recognit.
Rui Henriques, Sara C. Madeira
2021 J jnl
G-Tric: generating three-way synthetic datasets with triclustering solutions.
BMC Bioinform.
João Lobo, Rui Henriques, Sara C. Madeira
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 — conf
Patient Stratification Using Clinical and Patient Profiles: Targeting Personalized Prognostic Prediction in ALS.
IWBBIO
Sofia Pires, Marta Gromicho, Susana Pinto, Mamede de Carvalho, Sara C. Madeira
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 J jnl
Targeting the uncertainty of predictions at patient-level using an ensemble of classifiers coupled with calibration methods, Venn-ABERS, and Conformal Predictors: A case study in AD.
J. Biomed. Informatics
Telma Pereira, Sandra Cardoso, Manuela Guerreiro, Alexandre de Mendonça, Sara C. Madeira, Alzheimer's Disease Neuroimaging Initiative
2020 Misc conf
Towards Triclustering-Based Classification of Three-Way Clinical Data: A Case Study on Predicting Non-invasive Ventilation in ALS.
PACBB
Diogo F. Soares, Rui Henriques, Marta Gromicho, Susana Pinto, Mamede de Carvalho, Sara C. Madeira
2020 — conf
Unravelling Disease Presentation Patterns in ALS Using Biclustering for Discriminative Meta-Features Discovery.
IWBBIO
Joana Matos, Sofia Pires, Helena Aidos, Marta Gromicho, Susana Pinto, Mamede de Carvalho, Sara C. Madeira
2019 B conf
An Architecture Based on Fuzzy Systems for Personalized Medicine in ICUs.
FUZZ-IEEE
João M. C. Sousa, Susana M. Vieira, João P. Carvalho, Sara C. Madeira, Leo A. Celi, Stan N. Finkelstein
2019 J jnl
Predicting assisted ventilation in Amyotrophic Lateral Sclerosis using a mixture of experts and conformal predictors.
CoRR
Telma Pereira, Sofia Pires, Marta Gromicho, Susana Pinto, Mamede de Carvalho, Sara C. Madeira
2019 J jnl
Triclustering Algorithms for Three-Dimensional Data Analysis: A Comprehensive Survey.
ACM Comput. Surv.
Rui Henriques, Sara C. Madeira
2018 J jnl
BSig: evaluating the statistical significance of biclustering solutions.
Data Min. Knowl. Discov.
Rui Henriques, Sara C. Madeira
2018 J jnl
Ensemble learning with Conformal Predictors: Targeting credible predictions of conversion from Mild Cognitive Impairment to Alzheimer's Disease.
CoRR
Telma Pereira, Sandra Cardoso, Dina Silva, Manuela Guerreiro, Alexandre de Mendonça, Sara C. Madeira
2018 J jnl
Neuropsychological predictors of conversion from mild cognitive impairment to Alzheimer's disease: a feature selection ensemble combining stability and predictability.
BMC Medical Informatics Decis. Mak.
Telma Pereira, Francisco L. Ferreira, Sandra Cardoso, Dina Silva, Alexandre de Mendonça, Manuela Guerreiro, Sara C. Madeira
2018 — conf
Predicting Non-invasive Ventilation in ALS Patients Using Stratified Disease Progression Groups.
ICDM Workshops
Sofia Pires, Marta Gromicho, Susana Pinto, Mamede de Carvalho, Sara C. Madeira
2017 J jnl
BicPAMS: software for biological data analysis with pattern-based biclustering.
BMC Bioinform.
Rui Henriques, Francisco L. Ferreira, Sara C. Madeira
2017 J jnl
Erratum to: BicPAMS: software for biological data analysis with pattern-based biclustering.
BMC Bioinform.
Rui Henriques, Francisco L. Ferreira, Sara C. Madeira
2017 Misc conf
Improving Prognostic Prediction from Mild Cognitive Impairment to Alzheimer's Disease Using Genetic Algorithms.
PACBB
Francisco L. Ferreira, Sandra Cardoso, Dina Silva, Manuela Guerreiro, Alexandre de Mendonça, Sara C. Madeira
2017 J jnl
Predicting progression of mild cognitive impairment to dementia using neuropsychological data: a supervised learning approach using time windows.
BMC Medical Informatics Decis. Mak.
Telma Pereira, Luís Lemos, Sandra Cardoso, Dina Silva, Ana Rodrigues, Isabel Santana, Alexandre de Mendonça, Manuela Guerreiro, Sara C. Madeira
2017 Misc conf
Towards Trustworthy Predictions of Conversion from Mild Cognitive Impairment to Dementia: A Conformal Prediction Approach.
PACBB
Telma Pereira, Sandra Cardoso, Dina Silva, Alexandre de Mendonça, Manuela Guerreiro, Sara C. Madeira
2017 — conf
Towards a reliable prediction of conversion from Mild Cognitive Impairment to Alzheimer's Disease: stepwise learning using time windows.
MIH@KDD
Telma Pereira, Alexandre de Mendonça, Francisco L. Ferreira, Sara C. Madeira, Manuela Guerreiro
2016 J jnl
BiC2PAM: constraint-guided biclustering for biological data analysis with domain knowledge.
Algorithms Mol. Biol.
Rui Henriques, Sara C. Madeira
2016 J jnl
BicNET: Flexible module discovery in large-scale biological networks using biclustering.
Algorithms Mol. Biol.
Rui Henriques, Sara C. Madeira
2015 J jnl
A structured view on pattern mining-based biclustering.
Pattern Recognit.
Rui Henriques, Cláudia Antunes, Sara C. Madeira
2015 C conf
BicNET: Efficient Biclustering of Biological Networks to Unravel Non-Trivial Modules.
WABI
Rui Henriques, Sara C. Madeira
2015 J jnl
Biclustering with Flexible Plaid Models to Unravel Interactions between Biological Processes.
IEEE ACM Trans. Comput. Biol. Bioinform.
Rui Henriques, Sara C. Madeira
2015 J jnl
Generative modeling of repositories of health records for predictive tasks.
Data Min. Knowl. Discov.
Rui Henriques, Cláudia Antunes, Sara C. Madeira
2015 J jnl
Multi-period classification: learning sequent classes from temporal domains.
Data Min. Knowl. Discov.
Rui Henriques, Sara C. Madeira, Cláudia Antunes
2015 Misc conf
Pattern-Based Biclustering with Constraints for Gene Expression Data Analysis.
EPIA
Rui Henriques, Sara C. Madeira
2015 J jnl
Prognostic models based on patient snapshots and time windows: Predicting disease progression to assisted ventilation in Amyotrophic Lateral Sclerosis.
J. Biomed. Informatics
André Valério Carreiro, Pedro M. T. Amaral, Susana Pinto, Pedro Tomás, Mamede de Carvalho, Sara C. Madeira
2014 J jnl
BicPAM: Pattern-based biclustering for biomedical data analysis.
Algorithms Mol. Biol.
Rui Henriques, Sara C. Madeira
2014 J jnl
BicSPAM: flexible biclustering using sequential patterns.
BMC Bioinform.
Rui Henriques, Sara C. Madeira
2014 J jnl
LateBiclustering: Efficient Heuristic Algorithm for Time-Lagged Bicluster Identification.
IEEE ACM Trans. Comput. Biol. Bioinform.
Joana P. Gonçalves, Sara C. Madeira
2014 B conf
Mining coherent evolution patterns in education through biclustering.
EDM
André Vale, Sara C. Madeira, Cláudia Antunes
2013 Misc conf
A Workflow for the Application of Biclustering to Mass Spectrometry Data.
PACBB
Hugo López-Fernández, Miguel Reboiro-Jato, Sara C. Madeira, Rubén López-Cortés, J. D. Nunes-Miranda, Hugo Miguel Santos, Florentino Fdez-Riverola, Daniel Glez-Peña
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 — conf
Heuristic approaches for time-lagged biclustering.
BIOKDD
Joana P. Gonçalves, Sara C. Madeira
2013 — conf
Methods for the Efficient Discovery of Large Item-Indexable Sequential Patterns.
NFMCP
Rui Henriques, Cláudia Antunes, Sara C. Madeira
2012 J jnl
AliBiMotif: Integrating alignment and biclustering to unravel transcription factor binding sites in DNA sequences.
Int. J. Data Min. Bioinform.
Joana P. Gonçalves, Yves Moreau, Sara C. Madeira
2012 Misc conf
Parallel e-CCC-Biclustering: Mining Approximate Temporal Patterns in Gene Expression Time Series Using Parallel Biclustering.
PACBB
Filipe Cristóvão, Sara C. Madeira
2012 Misc conf
Prognostic Prediction Using Clinical Expression Time Series: Towards a Supervised Learning Approach Based on Meta-biclusters.
PACBB
André Valério Carreiro, Artur J. Ferreira, Mário A. T. Figueiredo, Sara C. Madeira
2011 Misc conf
Baiacu: A Tool for the Visual Analysis of the
PACBB
Ricardo Santos Aires, João A. Carriço, Alexandre P. Francisco, Sara C. Madeira
2011 Misc conf
Biclustering-Based Classification of Clinical Expression Time Series: A Case Study in Patients with Multiple Sclerosis.
PACBB
André Valério Carreiro, Orlando Anunciação, João A. Carriço, Sara C. Madeira
2011 J jnl
PINTA: a web server for network-based gene prioritization from expression data.
Nucleic Acids Res.
Daniela Nitsch, Léon-Charles Tranchevent, Joana P. Gonçalves, Josef Korbinian Vogt, Sara C. Madeira, Yves Moreau
2011 J jnl
TFRank: network-based prioritization of regulatory associations underlying transcriptional responses.
Bioinform.
Joana P. Gonçalves, Alexandre P. Francisco, Nuno P. Mira, Miguel C. Teixeira, Isabel Sá-Correia, Arlindo L. Oliveira, Sara C. Madeira
2011 J jnl
YEASTRACT: providing a programmatic access to curated transcriptional regulatory associations in
Nucleic Acids Res.
Dário Abdulrehman, Pedro T. Monteiro, Miguel C. Teixeira, Nuno P. Mira, Artur B. Lourenço, Sandra Costa dos Santos, Tânia Rodrigues Cabrito, Alexandre P. Francisco, Sara C. Madeira, Ricardo Santos Aires, Arlindo L. Oliveira, Isabel Sá-Correia, Ana T. Freitas
2010 J jnl
Babelomics: an integrative platform for the analysis of transcriptomics, proteomics and genomic data with advanced functional profiling.
Nucleic Acids Res.
Ignacio Medina, José Carbonell, Luis Pulido, Sara C. Madeira, Stefan Götz, Ana Conesa, Joaquín Tárraga, Alberto D. Pascual-Montano, Rubén Nogales-Cadenas, Javier Santoyo, Francisco García-García, Martina Marbà, David Montaner, Joaquín Dopazo
2010 J jnl
Identification of Regulatory Modules in Time Series Gene Expression Data Using a Linear Time Biclustering Algorithm.
IEEE ACM Trans. Comput. Biol. Bioinform.
Sara C. Madeira, Miguel C. Teixeira, Isabel Sá-Correia, Arlindo L. Oliveira
2010 — conf
Network-Based Disease Candidate Gene Prioritization: Towards Global Diffusion in Heterogeneous Association Networks.
NyNaK
Joana P. Gonçalves, Sara C. Madeira, Yves Moreau
2009 J jnl
A polynomial time biclustering algorithm for finding approximate expression patterns in gene expression time series.
Algorithms Mol. Biol.
Sara C. Madeira, Arlindo L. Oliveira
2009 — conf
Efficient Biclustering Algorithms for Time Series Gene Expression Data Analysis.
IWANN (2)
Sara C. Madeira, Arlindo L. Oliveira
2009 C conf
High Level Thread-Based Competitive Or-Parallelism in Logtalk.
PADL
Paulo Moura, Ricardo Rocha, Sara C. Madeira
2008 B conf
Thread-Based Competitive Or-Parallelism.
ICLP
Paulo Moura, Ricardo Rocha, Sara C. Madeira
2007 B conf
An Efficient Biclustering Algorithm for Finding Genes with Similar Patterns in Time-series Expression Data.
APBC
Sara C. Madeira, Arlindo L. Oliveira
2005 C conf
A Linear Time Biclustering Algorithm for Time Series Gene Expression Data.
WABI
Sara C. Madeira, Arlindo L. Oliveira
2004 J jnl
Biclustering Algorithms for Biological Data Analysis: A Survey.
IEEE ACM Trans. Comput. Biol. Bioinform.
Sara C. Madeira, Arlindo L. Oliveira
2003 Misc conf
A Data Mining Approach to Credit Risk Evaluation and Behaviour Scoring.
EPIA
Sara C. Madeira, Arlindo L. Oliveira, Catarina S. Conceição
2003 B conf
Modeling charity donations using target selection for revenue maximization.
FUZZ-IEEE
João M. C. Sousa, Sara C. Madeira, Uzay Kaymak
2002 B conf
A comparative study of fuzzy target selection methods in direct marketing.
FUZZ-IEEE
João M. C. Sousa, Uzay Kaymak, Sara C. Madeira