A comparative study of fuzzy target selection methods in direct marketing. - João M. C. Sousa; Uzay Kaymak; Sara C. Madeira (FUZZ-IEEE, 2002)

A Data Mining Approach to Credit Risk Evaluation and Behaviour Scoring. - Sara C. Madeira; Arlindo L. Oliveira; Catarina S. Conceição (EPIA, 2003)

Modeling charity donations using target selection for revenue maximization. - João M. C. Sousa; Sara C. Madeira; Uzay Kaymak (FUZZ-IEEE, 2003)

Biclustering Algorithms for Biological Data Analysis: A Survey. - Sara C. Madeira; Arlindo L. Oliveira (IEEE ACM Trans. Comput. Biol. Bioinform., 2004)

A Linear Time Biclustering Algorithm for Time Series Gene Expression Data. - Sara C. Madeira; Arlindo L. Oliveira (WABI, 2005)

An Efficient Biclustering Algorithm for Finding Genes with Similar Patterns in Time-series Expression Data. - Sara C. Madeira; Arlindo L. Oliveira (APBC, 2007)

Thread-Based Competitive Or-Parallelism. - Paulo Moura; Ricardo Rocha 001; Sara C. Madeira (ICLP, 2008)

Efficient Biclustering Algorithms for Time Series Gene Expression Data Analysis. - Sara C. Madeira; Arlindo L. Oliveira (IWANN (2), 2009)

High Level Thread-Based Competitive Or-Parallelism in Logtalk. - Paulo Moura; Ricardo Rocha 001; Sara C. Madeira (PADL, 2009)

A polynomial time biclustering algorithm for finding approximate expression patterns in gene expression time series. - Sara C. Madeira; Arlindo L. Oliveira (Algorithms Mol. Biol., 2009)

e-BiMotif: Combining Sequence Alignment and Biclustering to Unravel Structured Motifs. - Joana P. Gonçalves; Sara C. Madeira (IWPACBB, 2010)

Network-Based Disease Candidate Gene Prioritization: Towards Global Diffusion in Heterogeneous Association Networks. - Joana P. Gonçalves; Sara C. Madeira; Yves Moreau (NyNaK, 2010)

Babelomics: an integrative platform for the analysis of transcriptomics, proteomics and genomic data with advanced functional profiling. - Ignacio Medina; José Carbonell; Luis Pulido; Sara C. Madeira; Stefan Götz 003; Ana Conesa; Joaquín Tárraga; Alberto D. Pascual-Montano; Rubén Nogales-Cadenas; Javier Santoyo; Francisco García-García 002; Martina Marbà; et al. (Nucleic Acids Res., 2010)

Identification of Regulatory Modules in Time Series Gene Expression Data Using a Linear Time Biclustering Algorithm. - Sara C. Madeira; Miguel C. Teixeira; Isabel Sá-Correia; Arlindo L. Oliveira (IEEE ACM Trans. Comput. Biol. Bioinform., 2010)

Baiacu: A Tool for the Visual Analysis of the Saccharomyces Cerevisiae Regulatory Network. - Ricardo Santos Aires; João A. Carriço; Alexandre P. Francisco; Sara C. Madeira (PACBB, 2011)

Biclustering-Based Classification of Clinical Expression Time Series: A Case Study in Patients with Multiple Sclerosis. - André Valério Carreiro; Orlando Anunciação; João A. Carriço; Sara C. Madeira (PACBB, 2011)

TFRank: network-based prioritization of regulatory associations underlying transcriptional responses. - Joana P. Gonçalves; Alexandre P. Francisco; Nuno P. Mira; Miguel C. Teixeira; Isabel Sá-Correia; Arlindo L. Oliveira; Sara C. Madeira (Bioinform., 2011)

Prognostic Prediction through Biclustering-Based Classification of Clinical Gene Expression Time Series. - André Valério Carreiro; Orlando Anunciação; João André Carriço; Sara Cordeiro Madeira (J. Integr. Bioinform., 2011)

YEASTRACT: providing a programmatic access to curated transcriptional regulatory associations in Saccharomyces cerevisiae through a web services interface. - Dário Abdulrehman; Pedro T. Monteiro 001; 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; et al. (Nucleic Acids Res., 2011)

PINTA: a web server for network-based gene prioritization from expression data. - Daniela Nitsch; Léon-Charles Tranchevent; Joana P. Gonçalves; Josef Korbinian Vogt; Sara C. Madeira; Yves Moreau (Nucleic Acids Res., 2011)

Prognostic Prediction Using Clinical Expression Time Series: Towards a Supervised Learning Approach Based on Meta-biclusters. - André Valério Carreiro; Artur J. Ferreira; Mário A. T. Figueiredo; Sara C. Madeira (PACBB, 2012)

Parallel e-CCC-Biclustering: Mining Approximate Temporal Patterns in Gene Expression Time Series Using Parallel Biclustering. - Filipe Cristóvão; Sara C. Madeira (PACBB, 2012)

AliBiMotif: Integrating alignment and biclustering to unravel transcription factor binding sites in DNA sequences. - Joana P. Gonçalves; Yves Moreau; Sara C. Madeira (Int. J. Data Min. Bioinform., 2012)

Towards a Classification Approach using Meta-Biclustering: Impact of Discretization in the Analysis of Expression Time Series. - André Valério Carreiro; Artur J. Ferreira; Mário A. T. Figueiredo; Sara Cordeiro Madeira (J. Integr. Bioinform., 2012)

Class Imbalance in the Prediction of Dementia from Neuropsychological Data. - Cecília Nunes; Dina Silva; Manuela Guerreiro; Alexandre de Mendonça; Alexandra M. Carvalho; Sara C. Madeira (EPIA, 2013)

Heuristic approaches for time-lagged biclustering. - Joana P. Gonçalves; Sara C. Madeira (BIOKDD, 2013)

A Workflow for the Application of Biclustering to Mass Spectrometry Data. - 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 (PACBB, 2013)

Methods for the Efficient Discovery of Large Item-Indexable Sequential Patterns. - Rui Henriques; Cláudia Antunes; Sara C. Madeira (NFMCP, 2013)

Mining coherent evolution patterns in education through biclustering. - André Vale; Sara C. Madeira; Cláudia Antunes (EDM, 2014)

BicPAM: Pattern-based biclustering for biomedical data analysis. - Rui Henriques; Sara C. Madeira (Algorithms Mol. Biol., 2014)

BicSPAM: flexible biclustering using sequential patterns. - Rui Henriques; Sara C. Madeira (BMC Bioinform., 2014)

The YEASTRACT database: an upgraded information system for the analysis of gene and genomic transcription regulation in Saccharomyces cerevisiae. - Miguel Cacho Teixeira; Pedro Tiago Monteiro 001; Joana Fernandes Guerreiro; Joana Pinho Gonçalves; Nuno Pereira Mira; Sandra Costa dos Santos; Tânia Rodrigues Cabrito; Margarida Palma; Catarina Costa; Alexandre Paulo Francisco; Sara Cordeiro Madeira; Arlindo Limede Oliveira; et al. (Nucleic Acids Res., 2014)

LateBiclustering: Efficient Heuristic Algorithm for Time-Lagged Bicluster Identification. - Joana P. Gonçalves; Sara C. Madeira (IEEE ACM Trans. Comput. Biol. Bioinform., 2014)

Pattern-Based Biclustering with Constraints for Gene Expression Data Analysis. - Rui Henriques; Sara C. Madeira (EPIA, 2015)

BicNET: Efficient Biclustering of Biological Networks to Unravel Non-Trivial Modules. - Rui Henriques; Sara C. Madeira (WABI, 2015)

Generative modeling of repositories of health records for predictive tasks. - Rui Henriques; Cláudia Antunes; Sara C. Madeira (Data Min. Knowl. Discov., 2015)

Multi-period classification: learning sequent classes from temporal domains. - Rui Henriques; Sara C. Madeira; Cláudia Antunes (Data Min. Knowl. Discov., 2015)

Prognostic models based on patient snapshots and time windows: Predicting disease progression to assisted ventilation in Amyotrophic Lateral Sclerosis. - André Valério Carreiro; Pedro M. T. Amaral; Susana Pinto; Pedro Tomás; Mamede de Carvalho; Sara C. Madeira (J. Biomed. Informatics, 2015)

A structured view on pattern mining-based biclustering. - Rui Henriques; Cláudia Antunes; Sara C. Madeira (Pattern Recognit., 2015)

Biclustering with Flexible Plaid Models to Unravel Interactions between Biological Processes. - Rui Henriques; Sara C. Madeira (IEEE ACM Trans. Comput. Biol. Bioinform., 2015)

BicNET: Flexible module discovery in large-scale biological networks using biclustering. - Rui Henriques; Sara C. Madeira (Algorithms Mol. Biol., 2016)

BiC2PAM: constraint-guided biclustering for biological data analysis with domain knowledge. - Rui Henriques; Sara C. Madeira (Algorithms Mol. Biol., 2016)

Towards a reliable prediction of conversion from Mild Cognitive Impairment to Alzheimer's Disease: stepwise learning using time windows. - Telma Pereira; Alexandre de Mendonça; Francisco L. Ferreira; Sara C. Madeira; Manuela Guerreiro (MIH@KDD, 2017)

Improving Prognostic Prediction from Mild Cognitive Impairment to Alzheimer's Disease Using Genetic Algorithms. - Francisco L. Ferreira; Sandra Cardoso; Dina Silva; Manuela Guerreiro; Alexandre de Mendonça; Sara C. Madeira (PACBB, 2017)

Towards Trustworthy Predictions of Conversion from Mild Cognitive Impairment to Dementia: A Conformal Prediction Approach. - Telma Pereira; Sandra Cardoso; Dina Silva; Alexandre de Mendonça; Manuela Guerreiro; Sara C. Madeira (PACBB, 2017)

BicPAMS: software for biological data analysis with pattern-based biclustering. - Rui Henriques; Francisco L. Ferreira; Sara C. Madeira (BMC Bioinform., 2017)

Erratum to: BicPAMS: software for biological data analysis with pattern-based biclustering. - Rui Henriques; Francisco L. Ferreira; Sara C. Madeira (BMC Bioinform., 2017)

Predicting progression of mild cognitive impairment to dementia using neuropsychological data: a supervised learning approach using time windows. - Telma Pereira; Luís Lemos; Sandra Cardoso; Dina Silva; Ana Rodrigues 006; Isabel Santana; Alexandre de Mendonça; Manuela Guerreiro; Sara C. Madeira (BMC Medical Informatics Decis. Mak., 2017)

Predicting Non-invasive Ventilation in ALS Patients Using Stratified Disease Progression Groups. - Sofia Pires; Marta Gromicho; Susana Pinto; Mamede de Carvalho; Sara C. Madeira (ICDM Workshops, 2018)

Ensemble learning with Conformal Predictors: Targeting credible predictions of conversion from Mild Cognitive Impairment to Alzheimer's Disease. - Telma Pereira; Sandra Cardoso; Dina Silva; Manuela Guerreiro; Alexandre de Mendonça; Sara C. Madeira (CoRR, 2018)

BSig: evaluating the statistical significance of biclustering solutions. - Rui Henriques; Sara C. Madeira (Data Min. Knowl. Discov., 2018)

Neuropsychological predictors of conversion from mild cognitive impairment to Alzheimer's disease: a feature selection ensemble combining stability and predictability. - Telma Pereira; Francisco L. Ferreira; Sandra Cardoso; Dina Silva; Alexandre de Mendonça; Manuela Guerreiro; Sara C. Madeira (BMC Medical Informatics Decis. Mak., 2018)

An Architecture Based on Fuzzy Systems for Personalized Medicine in ICUs. - João M. C. Sousa; Susana M. Vieira; João P. Carvalho 001; Sara C. Madeira; Leo A. Celi; Stan N. Finkelstein (FUZZ-IEEE, 2019)

Predicting assisted ventilation in Amyotrophic Lateral Sclerosis using a mixture of experts and conformal predictors. - Telma Pereira; Sofia Pires; Marta Gromicho; Susana Pinto; Mamede de Carvalho; Sara C. Madeira (CoRR, 2019)

Triclustering Algorithms for Three-Dimensional Data Analysis: A Comprehensive Survey. - Rui Henriques; Sara C. Madeira (ACM Comput. Surv., 2019)

Predictive Medicine Using Interpretable Recurrent Neural Networks. - André Ferreira; Sara C. Madeira; Marta Gromicho; Mamede de Carvalho; Susana Vinga; Alexandra M. Carvalho (ICPR Workshops (1), 2020)

Unravelling Disease Presentation Patterns in ALS Using Biclustering for Discriminative Meta-Features Discovery. - Joana Matos; Sofia Pires; Helena Aidos; Marta Gromicho; Susana Pinto; Mamede de Carvalho; Sara C. Madeira (IWBBIO, 2020)

Patient Stratification Using Clinical and Patient Profiles: Targeting Personalized Prognostic Prediction in ALS. - Sofia Pires; Marta Gromicho; Susana Pinto; Mamede de Carvalho; Sara C. Madeira (IWBBIO, 2020)

Towards Triclustering-Based Classification of Three-Way Clinical Data: A Case Study on Predicting Non-invasive Ventilation in ALS. - Diogo F. Soares; Rui Henriques; Marta Gromicho; Susana Pinto; Mamede de Carvalho; Sara C. Madeira (PACBB, 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. - Telma Pereira; Sandra Cardoso; Manuela Guerreiro; Alexandre de Mendonça; Sara C. Madeira; Alzheimer's Disease Neuroimaging Initiative (J. Biomed. Informatics, 2020)

G-Tric: generating three-way synthetic datasets with triclustering solutions. - João Lobo; Rui Henriques; Sara C. Madeira (BMC Bioinform., 2021)

Learning dynamic Bayesian networks from time-dependent and time-independent data: Unraveling disease progression in Amyotrophic Lateral Sclerosis. - Tiago Leão; Sara C. Madeira; Marta Gromicho; Mamede de Carvalho; Alexandra M. Carvalho (J. Biomed. Informatics, 2021)

FleBiC: Learning classifiers from high-dimensional biomedical data using discriminative biclusters with non-constant patterns. - Rui Henriques; Sara C. Madeira (Pattern Recognit., 2021)

Hierarchical Modelling for ALS Prognosis: Predicting the Progression Towards Critical Events. - Ruben Branco; Diogo F. Soares; Andreia S. Martins; Eleonora Auletta; Eduardo N. Castanho; Susana Nunes; Filipa Serrano; Rita Torres Sousa; Catia Pesquita; Sara C. Madeira; Helena Aidos (CLEF (Working Notes), 2022)

Overview of iDPP@CLEF 2022: The Intelligent Disease Progression Prediction Challenge. - 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; et al. (CLEF (Working Notes), 2022)

Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2022. - 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; et al. (CLEF, 2022)

Explaining Artificial Intelligence Predictions of Disease Progression with Semantic Similarity. - Susana Nunes; Rita Torres Sousa; Filipa Serrano; Ruben Branco; Diogo F. Soares; Andreia S. Martins; Eleonora Auletta; Eduardo N. Castanho; Sara C. Madeira; Helena Aidos; Catia Pesquita (CLEF (Working Notes), 2022)

Posture Risk Assessment in an Automotive Assembly Line Using Inertial Sensors. - Maria Lua Nunes; Duarte Folgado; Carlos Fujão; Luís Silva; João Rodrigues; Pedro Matias 002; Marília Barandas; André V. Carreiro; Sara C. Madeira; Hugo Gamboa (IEEE Access, 2022)

Biclustering fMRI time series: a comparative study. - Eduardo N. Castanho; Helena Aidos; Sara C. Madeira (BMC Bioinform., 2022)

User-Specific Bicluster-based Collaborative Filtering: Handling Preference Locality, Sparsity and Subjectivity. - Miguel G. Silva; Rui Henriques; Sara C. Madeira (CoRR, 2022)

Learning prognostic models using a mixture of biclustering and triclustering: Predicting the need for non-invasive ventilation in Amyotrophic Lateral Sclerosis. - Diogo F. Soares; Rui Henriques; Marta Gromicho; Mamede de Carvalho; Sara C. Madeira (J. Biomed. Informatics, 2022)

Impact of metrics on biclustering solution and quality: A review. - Marta D. M. Noronha; Rui Henriques; Sara C. Madeira; Luis E. Zárate (Pattern Recognit., 2022)

Learning Prognostic Models Using Disease Progression Patterns: Predicting the Need for Non-Invasive Ventilation in Amyotrophic Lateral Sclerosis. - Andreia S. Martins; Marta Gromicho; Susana Pinto; Mamede de Carvalho; Sara C. Madeira (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Mining Actionable Patterns of Road Mobility From Heterogeneous Traffic Data Using Biclustering. - Francisco Neves; Anna Carolina Finamore; Sara C. Madeira; Rui Henriques (IEEE Trans. Intell. Transp. Syst., 2022)

Investigating the Impact of Environmental Data on ALS Prognosis with Survival Analysis. - Ruben Branco; Diogo F. Soares; Andreia S. Martins; Joana Barros Valente; Eduardo N. Castanho; Sara C. Madeira; Helena Aidos (CLEF (Working Notes), 2023)

Survival Analysis for Multiple Sclerosis: Predicting Risk of Disease Worsening. - Ruben Branco; Joana Barros Valente; Andreia S. Martins; Diogo F. Soares; Eduardo N. Castanho; Sara C. Madeira; Helena Aidos (CLEF (Working Notes), 2023)

Overview of iDPP@CLEF 2023: The Intelligent Disease Progression Prediction Challenge. - Guglielmo Faggioli; Alessandro Guazzo; Stefano Marchesin 001; Laura Menotti; Isotta Trescato; Helena Aidos; Roberto Bergamaschi; Giovanni Birolo; Paola Cavalla; Adriano Chiò; Arianna Dagliati; Mamede de Carvalho; et al. (CLEF (Working Notes), 2023)

Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2023. - Guglielmo Faggioli; Alessandro Guazzo; Stefano Marchesin 001; Laura Menotti; Isotta Trescato; Helena Aidos; Roberto Bergamaschi; Giovanni Birolo; Paola Cavalla; Adriano Chiò; Arianna Dagliati; Mamede de Carvalho; et al. (CLEF, 2023)

iDPP@CLEF 2023: The Intelligent Disease Progression Prediction Challenge. - Helena Aidos; Roberto Bergamaschi; Paola Cavalla; Adriano Chiò; Arianna Dagliati; Barbara Di Camillo; Mamede de Carvalho; Nicola Ferro 001; Piero Fariselli; Jose Manuel García Dominguez; Sara C. Madeira; Eleonora Tavazzi (ECIR (3), 2023)

BRAINTEASER ALS and MS Datasets. - Guglielmo Faggioli; Alessandro Guazzo; Stefano Marchesin 001; Laura Menotti; Isotta Trescato; Helena Aidos; Roberto Bergamaschi; Giovanni Birolo; Paola Cavalla; Adriano Chiò; Arianna Dagliati; Mamede de Carvalho; et al. (Zenodo, 2023)

Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review. - 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; et al. (Artif. Intell. Medicine, 2023)

iDPP@CLEF 2023 - Participants' repositories for the Intelligent Disease Prediction Progression Challenge. - Guglielmo Faggioli; Alessandro Guazzo; Stefano Marchesin 001; Laura Menotti; Isotta Trescato; Helena Aidos; Roberto Bergamaschi; Giovanni Birolo; Paola Cavalla; Adriano Chiò; Arianna Dagliati; Mamede de Carvalho; et al. (Zenodo, 2023)

G-bic: generating synthetic benchmarks for biclustering. - Eduardo N. Castanho; João Lobo; Rui Henriques; Sara C. Madeira (BMC Bioinform., 2023)

Overview of iDPP@CLEF 2024: The Intelligent Disease Progression Prediction Challenge. - 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; et al. (CLEF (Working Notes), 2024)

Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2024. - 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; et al. (CLEF (2), 2024)

Predicting the Functional Rating Scale and Self-Assessment Status of ALS Patients with Sensor Data. - Andreia S. Martins; Daniela M. Amaral; Eduardo N. Castanho; Diogo F. Soares; Ruben Branco; Sara C. Madeira; Helena Aidos (CLEF (Working Notes), 2024)

iDPP@CLEF 2024: The Intelligent Disease Progression Prediction Challenge. - Helena Aidos; Roberto Bergamaschi; Paola Cavalla; Adriano Chiò; Arianna Dagliati; Barbara Di Camillo; Mamede de Carvalho; Nicola Ferro 001; Piero Fariselli; Jose Manuel García Dominguez; Sara C. Madeira; Eleonora Tavazzi (ECIR (6), 2024)

Deep Temporal Consensus Clustering for Patient Stratification in Amyotrophic Lateral Sclerosis. - Miguel Pego Roque; Andreia S. Martins; Marta Gromicho; Mamede de Carvalho; Sara C. Madeira; Pedro Tomás; Helena Aidos (ESANN, 2024)

Biclustering data analysis: a comprehensive survey. - Eduardo N. Castanho; Helena Aidos; Sara C. Madeira (Briefings Bioinform., 2024)

Comprehensive assessment of triclustering algorithms for three-way temporal data analysis. - Diogo F. Soares; Rui Henriques; Sara C. Madeira (Pattern Recognit., 2024)

BRAINTEASER ALS and MS Datasets. - Guglielmo Faggioli; Stefano Marchesin 001; Laura Menotti; Helena Aidos; Roberto Bergamaschi; Giovanni Birolo; Pietro Bosoni; Paola Cavalla; Adriano Chiò; Arianna Dagliati; Mamede de Carvalho; Giorgio Maria Di Nunzio; et al. (Zenodo, 2024)

iDPP@CLEF 2024 - Participants' repositories for the Intelligent Disease Prediction Progression Challenge. - 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; et al. (Zenodo, 2024)

Correction: G-bic: generating synthetic benchmarks for biclustering. - Eduardo N. Castanho; João Lobo; Rui Henriques; Sara C. Madeira (BMC Bioinform., 2024)

A Comprehensive Survey on Biclustering-based Collaborative Filtering. - Miguel G. Silva; Sara C. Madeira; Rui Henriques (ACM Comput. Surv., 2024)

TriHSPAM: Triclustering heterogeneous longitudinal clinical data using sequential patterns. - Diogo F. Soares; Rui Henriques; Sara C. Madeira (Pattern Recognit., 2025)

BRAINTEASER ALS and MS Datasets. - Guglielmo Faggioli; Stefano Marchesin 001; Laura Menotti; Helena Aidos; Roberto Bergamaschi; Giovanni Birolo; Pietro Bosoni; Paola Cavalla; Adriano Chiò; Arianna Dagliati; Mamede de Carvalho; Giorgio Maria Di Nunzio; et al. (Zenodo, 2025)

Cutting through the noise: Explaining residuals in multivariate time series with motif analysis. - Miguel G. Silva; Sara C. Madeira; Rui Henriques (Pattern Recognit., 2026)