Object-Centered Process Modeling: Principles to Model Data-Intensive Systems. - Rui Henriques; António Rito Silva (Business Process Management Workshops, 2010)

On the Need of New Methods to Mine Electrodermal Activity in Emotion-Centered Studies. - Rui Henriques; Ana Paiva 001; Cláudia Antunes (ADMI, 2012)

An Integrated Approach for Healthcare Planning over Multi-dimensional Data Using Long-Term Prediction. - Rui Henriques; Cláudia Antunes (HIS, 2012)

On When and How to use SAT to Mine Frequent Itemsets - Rui Henriques; Inês Lynce; Vasco Manquinho (CoRR, 2012)

Accessing Emotion Patterns from Affective Interactions Using Electrodermal Activity. - Rui Henriques; Ana Paiva 001; Cláudia Antunes (ACII, 2013)

Sensors in the wild: exploring electrodermal activity in child-robot interaction. - Iolanda Leite; Rui Henriques; Carlos Martinho; Ana Paiva 001 (HRI, 2013)

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

Learning Predictive Models from Integrated Healthcare Data: Extending Pattern-Based and Generative Models to Capture Temporal and Cross-Attribute Dependencies. - Rui Henriques; Cláudia Antunes (HICSS, 2014)

Generative Modeling of Itemset Sequences Derived from Real Databases. - Rui Henriques; Cláudia Antunes (ICEIS (1), 2014)

Seven Principles to Mine Flexible Behavior from Physiological Signals for Effective Emotion Recognition and Description in Affective Interactions. - Rui Henriques; Ana Paiva 001 (PhyCS, 2014)

Descriptive Models of Emotion - Learning Useful Abstractions from Physiological Responses during Affective Interactions. - Rui Henriques; Ana Paiva 001 (PhyCS, 2014)

Learning Effective Models of Emotions from Physiological Signals: The Seven Principles. - Rui Henriques; Ana Paiva 001 (PhyCS (Selected Papers), 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)

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)

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)

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)

Order-Preserving Pattern Matching Indeterminate Strings. - Rui Henriques; Alexandre P. Francisco; Luís M. S. Russo; Hideo Bannai (CPM, 2018)

FPGA-based OpenCL Accelerator for Discovering Temporal Patterns in Gene Expression Data Using Biclustering. - Rui Policarpo Duarte; Álvaro Simões; Rui Henriques; Horácio C. Neto (PBio@EuroMPI, 2018)

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

An Unsupervised Method for Concept Association Analysis in Text Collections. - Pavlo Kovalchuk; Diogo Proença; José Borbinha; Rui Henriques (TPDL, 2019)

On the Discovery of Educational Patterns using Biclustering. - Rui Henriques; Anna Carolina Finamore; Marco Antonio Casanova (ITS, 2019)

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

Moving from Formal Towards Coherent Concept Analysis: Why, When and How. - Pavlo Kovalchuk; Diogo Proença; José Borbinha; Rui Henriques (ECIR (1), 2020)

Efficient discovery of emerging patternsin heterogeneous spatiotemporal data from mobile sensors. - Francisco Neves; Anna Carolina Finamore; Rui Henriques (MobiQuitous, 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)

On the use of pairwise distance learning for brain signal classification with limited observations. - David Calhas; Enrique Romero; Rui Henriques (Artif. Intell. Medicine, 2020)

fMRI Multiple Missing Values Imputation Regularized by a Recurrent Denoiser. - David Calhas; Rui Henriques (AIME, 2021)

UNIANO: robust and efficient anomaly consensus in time series sensitive to cross-correlated anomaly profiles. - Leonor Silva; Helena Galhardas; Vasco Manquinho; Rui Henriques (SDM, 2021)

An ArchiMate-Based Approach to ISO 9001: 2015 Quality Management: Shifting to IT-Enabled Documented Information. - Ana Pereira; Rui Henriques; João Barata (CBI (2), 2021)

DI2: prior-free and multi-item discretization of biological data and its applications. - Leonardo Alexandre; Rafael S. Costa; Rui Henriques (BMC Bioinform., 2021)

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

DI2: prior-free and multi-item discretization ofbiomedical data and its applications. - Leonardo Alexandre; Rafael S. Costa; Rui Henriques (CoRR, 2021)

Context-aware demand prediction in bike sharing systems: incorporating spatial, meteorological and calendrical context. - Cláudio Sardinha; Anna Carolina Finamore; Rui Henriques (CoRR, 2021)

On the predictability of postoperative complications for cancer patients: a Portuguese cohort study. - Daniel Gonçalves; Rui Henriques; Lucio Lara-Santos; Rafael S. Costa (BMC Medical Informatics Decis. Mak., 2021)

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

Mining Pre-Surgical Patterns Able to Discriminate Post-Surgical Outcomes in the Oncological Domain. - Leonardo Alexandre; Rafael S. Costa; Lucio Lara-Santos; Rui Henriques (IEEE J. Biomed. Health Informatics, 2021)

Context-situated visualization of biclusters to aid decisions: going beyond subspaces with parallel coordinates. - Daniel Gonçalves; Rafael S. Costa; Rui Henriques (AVI, 2022)

Consolidation of Massive Medical Emergency Events With Heterogeneous Situational Context Data Sources. - Thomas James Z. Tiam-Lee; Rui Henriques; José Costa; Vasco Manquinho; Helena Galhardas (EDBT/ICDT Workshops, 2022)

Enrichment analysis on regulatory subspaces: A novel direction for the superior description of cellular responses to SARS-CoV-2. - Pedro Rodrigues; Rafael S. Costa; Rui Henriques (Comput. Biol. Medicine, 2022)

IPOscore: An interactive web-based platform for postoperative surgical complications analysis and prediction in the oncology domain. - Hugo Mochão; Daniel Gonçalves; Leonardo Alexandre; Carolina Castro; Duarte Valério; Pedro Barahona; Daniel Moreira-Gonçalves; Paulo Matos da Costa; Rui Henriques; Lucio Lara-Santos; Rafael S. Costa (Comput. Methods Programs Biomed., 2022)

On the Role of Multi-Objective Optimization to the Transit Network Design Problem. - Vasco D. Silva; Anna Carolina Finamore; Rui Henriques (CoRR, 2022)

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

Scaling pattern mining through non-overlapping variable partitioning. - Leonardo Alexandre; Rafael S. Costa; Rui Henriques (CoRR, 2022)

Order-preserving pattern matching indeterminate strings. - Luís M. S. Russo; Diogo M. Costa; Rui Henriques; Hideo Bannai; Alexandre P. Francisco (Inf. Comput., 2022)

Associative Analysis of Inefficiencies and Station Activity Levels in Emergency Response. - Thomas James Z. Tiam-Lee; Rui Henriques; Vasco Manquinho (ISPRS Int. J. Geo Inf., 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)

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)

EEG To FMRI Synthesis: Is Deep Learning a Candidate? - David Calhas; Rui Henriques (ISD, 2023)

EEG to fMRI Synthesis Benefits from Attentional Graphs of Electrode Relationships. - David Calhas; Rui Henriques (MLHC, 2023)

tex2net: A Package for Storytelling Using Network Models. - Joao Tiago Aparicio; Elisabete Arsenio; Rui Henriques (SIGDOC, 2023)

TriSig: Assessing the statistical significance of triclusters. - Leonardo Alexandre; Rafael S. Costa; Rui Henriques (CoRR, 2023)

Movement Prototypes in a Complex Teamgym Gymnastics Technique on the Vaulting Table and Their Relationship with Judges' Scores. - Joana Barreto; Rui Henriques; Silvia Cabral; Bruno Pedro; César Peixoto; António P. Veloso (Sensors, 2023)

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

Context-Aware Deep Forecasting: Principles for the Nation-Wide Management of Blood Products. - Miguel Dauphinet; Rui Henriques; Pedro T. Monteiro 001 (EPIA (3), 2024)

Chatbot Decision Support with Intent-Rich Structures in the Hospitality Industry. - Eduardo Machado; Rui Henriques (EPIA (3), 2024)

Comparing Deep Neural Networks for 1D Multi-Label Power Quality Disturbance Classification: ResNet, MobileNet, and DenseNet. - Han Shao; Rui Henriques; Hugo Morais; Elisabetta Tedeschi (IECON, 2024)

Using dynamic knowledge graphs to detect emerging communities of knowledge. - João Tiago Aparício; Elisabete Arsenio; Francisco Santos; Rui Henriques (Knowl. Based Syst., 2024)

TriSig: Evaluating the statistical significance of triclusters. - Leonardo Alexandre; Rafael S. Costa; Rui Henriques (Pattern Recognit., 2024)

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

Multiple-input neural networks for time series forecasting incorporating historical and prospective context. - João Palet; Vasco Manquinho; Rui Henriques (Data Min. Knowl. Discov., 2024)

Detecting Fraudulent Student Communication in a Multiple Choice Online Test Environment. - Mariana Carrasco; António Rito Silva; Rui Henriques (IEEE Trans. Comput. Soc. Syst., 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)

Integrating statistical significance and discriminative power in pattern discovery. - Leonardo Alexandre; Rafael S. Costa; Rui Henriques (Knowl. Based Syst., 2025)

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