Sara C. Madeira
Orcid: 0000-0002-1459-8096Affiliations:
- University of Lisbon, Instituto Superior Técnico, Portugal
According to our database1,
Sara C. Madeira
authored at least 90 papers
between 2002 and 2024.
Collaborative distances:
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Bibliography
2024
ACM Comput. Surv., December, 2024
BMC Bioinform., December, 2024
Comprehensive assessment of triclustering algorithms for three-way temporal data analysis.
Pattern Recognit., 2024
Proceedings of the Advances in Information Retrieval, 2024
Predicting the Functional Rating Scale and Self-Assessment Status of ALS Patients with Sensor Data.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024), 2024
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2024
Overview of iDPP@CLEF 2024: The Intelligent Disease Progression Prediction Challenge.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024), 2024
2023
BMC Bioinform., December, 2023
iDPP@CLEF 2023 - Participants' repositories for the Intelligent Disease Prediction Progression Challenge.
Dataset, November, 2023
Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review.
Artif. Intell. Medicine, August, 2023
Proceedings of the Advances in Information Retrieval, 2023
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2023
Overview of iDPP@CLEF 2023: The Intelligent Disease Progression Prediction Challenge.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023
Investigating the Impact of Environmental Data on ALS Prognosis with Survival Analysis.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023
2022
Mining Actionable Patterns of Road Mobility From Heterogeneous Traffic Data Using Biclustering.
IEEE Trans. Intell. Transp. Syst., 2022
Learning Prognostic Models Using Disease Progression Patterns: Predicting the Need for Non-Invasive Ventilation in Amyotrophic Lateral Sclerosis.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
Pattern Recognit., 2022
Learning prognostic models using a mixture of biclustering and triclustering: Predicting the need for non-invasive ventilation in Amyotrophic Lateral Sclerosis.
J. Biomed. Informatics, 2022
User-Specific Bicluster-based Collaborative Filtering: Handling Preference Locality, Sparsity and Subjectivity.
CoRR, 2022
IEEE Access, 2022
Explaining Artificial Intelligence Predictions of Disease Progression with Semantic Similarity.
Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2022
Overview of iDPP@CLEF 2022: The Intelligent Disease Progression Prediction Challenge.
Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022
Hierarchical Modelling for ALS Prognosis: Predicting the Progression Towards Critical Events.
Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022
2021
FleBiC: Learning classifiers from high-dimensional biomedical data using discriminative biclusters with non-constant patterns.
Pattern Recognit., 2021
Learning dynamic Bayesian networks from time-dependent and time-independent data: Unraveling disease progression in Amyotrophic Lateral Sclerosis.
J. Biomed. Informatics, 2021
BMC Bioinform., 2021
2020
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, 2020
Towards Triclustering-Based Classification of Three-Way Clinical Data: A Case Study on Predicting Non-invasive Ventilation in ALS.
Proceedings of the Practical Applications of Computational Biology & Bioinformatics, 2020
Patient Stratification Using Clinical and Patient Profiles: Targeting Personalized Prognostic Prediction in ALS.
Proceedings of the Bioinformatics and Biomedical Engineering, 2020
Unravelling Disease Presentation Patterns in ALS Using Biclustering for Discriminative Meta-Features Discovery.
Proceedings of the Bioinformatics and Biomedical Engineering, 2020
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020
2019
Triclustering Algorithms for Three-Dimensional Data Analysis: A Comprehensive Survey.
ACM Comput. Surv., 2019
Predicting assisted ventilation in Amyotrophic Lateral Sclerosis using a mixture of experts and conformal predictors.
CoRR, 2019
Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019
2018
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., 2018
Data Min. Knowl. Discov., 2018
Ensemble learning with Conformal Predictors: Targeting credible predictions of conversion from Mild Cognitive Impairment to Alzheimer's Disease.
CoRR, 2018
Predicting Non-invasive Ventilation in ALS Patients Using Stratified Disease Progression Groups.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018
2017
Predicting progression of mild cognitive impairment to dementia using neuropsychological data: a supervised learning approach using time windows.
BMC Medical Informatics Decis. Mak., 2017
Erratum to: BicPAMS: software for biological data analysis with pattern-based biclustering.
BMC Bioinform., 2017
BMC Bioinform., 2017
Towards Trustworthy Predictions of Conversion from Mild Cognitive Impairment to Dementia: A Conformal Prediction Approach.
Proceedings of the 11th International Conference on Practical Applications of Computational Biology & Bioinformatics, 2017
Improving Prognostic Prediction from Mild Cognitive Impairment to Alzheimer's Disease Using Genetic Algorithms.
Proceedings of the 11th International Conference on Practical Applications of Computational Biology & Bioinformatics, 2017
Towards a reliable prediction of conversion from Mild Cognitive Impairment to Alzheimer's Disease: stepwise learning using time windows.
Proceedings of the 1st ACM Workshop on Medical Informatics and Healthcare, 2017
2016
BiC2PAM: constraint-guided biclustering for biological data analysis with domain knowledge.
Algorithms Mol. Biol., 2016
BicNET: Flexible module discovery in large-scale biological networks using biclustering.
Algorithms Mol. Biol., 2016
2015
Biclustering with Flexible Plaid Models to Unravel Interactions between Biological Processes.
IEEE ACM Trans. Comput. Biol. Bioinform., 2015
Prognostic models based on patient snapshots and time windows: Predicting disease progression to assisted ventilation in Amyotrophic Lateral Sclerosis.
J. Biomed. Informatics, 2015
Data Min. Knowl. Discov., 2015
Data Min. Knowl. Discov., 2015
BicNET: Efficient Biclustering of Biological Networks to Unravel Non-Trivial Modules.
Proceedings of the Algorithms in Bioinformatics - 15th International Workshop, 2015
Proceedings of the Progress in Artificial Intelligence, 2015
2014
LateBiclustering: Efficient Heuristic Algorithm for Time-Lagged Bicluster Identification.
IEEE ACM Trans. Comput. Biol. Bioinform., 2014
The YEASTRACT database: an upgraded information system for the analysis of gene and genomic transcription regulation in <i>Saccharomyces cerevisiae</i>.
Nucleic Acids Res., 2014
Algorithms Mol. Biol., 2014
Proceedings of the 7th International Conference on Educational Data Mining, 2014
2013
Proceedings of the New Frontiers in Mining Complex Patterns, 2013
Proceedings of the 7th International Conference on Practical Applications of Computational Biology & Bioinformatics, 2013
Proceedings of the 12th International Workshop on Data Mining in Bioinformatics, 2013
Proceedings of the Progress in Artificial Intelligence, 2013
2012
Towards a Classification Approach using Meta-Biclustering: Impact of Discretization in the Analysis of Expression Time Series.
J. Integr. Bioinform., 2012
AliBiMotif: Integrating alignment and biclustering to unravel transcription factor binding sites in DNA sequences.
Int. J. Data Min. Bioinform., 2012
Parallel e-CCC-Biclustering: Mining Approximate Temporal Patterns in Gene Expression Time Series Using Parallel Biclustering.
Proceedings of the 6th International Conference on Practical Applications of Computational Biology & Bioinformatics, 2012
Prognostic Prediction Using Clinical Expression Time Series: Towards a Supervised Learning Approach Based on Meta-biclusters.
Proceedings of the 6th International Conference on Practical Applications of Computational Biology & Bioinformatics, 2012
2011
Nucleic Acids Res., 2011
YEASTRACT: providing a programmatic access to curated transcriptional regulatory associations in <i>Saccharomyces cerevisiae</i> through a web services interface.
Nucleic Acids Res., 2011
Prognostic Prediction through Biclustering-Based Classification of Clinical Gene Expression Time Series.
J. Integr. Bioinform., 2011
TFRank: network-based prioritization of regulatory associations underlying transcriptional responses.
Bioinform., 2011
Biclustering-Based Classification of Clinical Expression Time Series: A Case Study in Patients with Multiple Sclerosis.
Proceedings of the 5th International Conference on Practical Applications of Computational Biology & Bioinformatics, 2011
Baiacu: A Tool for the Visual Analysis of the <i>Saccharomyces Cerevisiae</i> Regulatory Network.
Proceedings of the 5th International Conference on Practical Applications of Computational Biology & Bioinformatics, 2011
2010
Identification of Regulatory Modules in Time Series Gene Expression Data Using a Linear Time Biclustering Algorithm.
IEEE ACM Trans. Comput. Biol. Bioinform., 2010
Babelomics: an integrative platform for the analysis of transcriptomics, proteomics and genomic data with advanced functional profiling.
Nucleic Acids Res., 2010
Network-Based Disease Candidate Gene Prioritization: Towards Global Diffusion in Heterogeneous Association Networks.
Proceedings of the 1st Workshop on Dynamic Networks and Knowledge Discovery, 2010
<i>e</i>-BiMotif: Combining Sequence Alignment and Biclustering to Unravel Structured Motifs.
Proceedings of the Advances in Bioinformatics, 2010
2009
A polynomial time biclustering algorithm for finding approximate expression patterns in gene expression time series.
Algorithms Mol. Biol., 2009
Proceedings of the Practical Aspects of Declarative Languages, 2009
Proceedings of the Distributed Computing, 2009
2008
Proceedings of the Logic Programming, 24th International Conference, 2008
2007
An Efficient Biclustering Algorithm for Finding Genes with Similar Patterns in Time-series Expression Data.
Proceedings of 5th Asia-Pacific Bioinformatics Conference, 2007
2005
Proceedings of the Algorithms in Bioinformatics, 5th International Workshop, 2005
2004
IEEE ACM Trans. Comput. Biol. Bioinform., 2004
2003
Proceedings of the 12th IEEE International Conference on Fuzzy Systems, 2003
Proceedings of the Progress in Artificial Intelligence, 2003
2002
Proceedings of the 2002 IEEE International Conference on Fuzzy Systems, 2002