Rui Henriques

发表

Estimating Attractor Reachability in Asynchronous Logical Models

Claudine Chaouiya, Elisabeth Remy, Rui Henriques, 2018, Front. Physiol..

On the use of Pairwise Distance Learning for Brain Signal Classification with Limited Observations

Rui Henriques, Enrique Romero, David Calhas, 2019, Artif. Intell. Medicine.

Enrichment analysis on regulatory subspaces: A novel direction for the superior description of cellular responses to SARS-CoV-2

Rafael S. Costa, R. Henriques, P. Rodrigues, 2021, bioRxiv.

Efficient discovery of emerging patternsin heterogeneous spatiotemporal data from mobile sensors

R. Henriques, Francisco Neves, A. Finamore, 2020, MobiQuitous.

Learning Effective Models of Emotions from Physiological Signals: The Seven Principles

Ana Paiva, Rui Henriques, Ana Paiva, 2014, PhyCS.

IPOscore: An interactive web-based platform for postoperative surgical complications analysis and prediction in the oncology domain

Rafael S. Costa, D. Moreira-Gonçalves, R. Henriques, 2022, Comput. Methods Programs Biomed..

Predicting Postoperative Complications in Cancer Patients: A Survey Bridging Classical and Machine Learning Contributions to Postsurgical Risk Analysis

Rafael S. Costa, R. Henriques, Daniel Gonçalves, 2021, Cancers.

On the predictability of postoperative complications for cancer patients: a Portuguese cohort study

Rafael S. Costa, R. Henriques, R. S. Costa, 2021, BMC Medical Informatics and Decision Making.

Object-Centered Process Modeling: Principles to Model Data-Intensive Systems

António Rito Silva, Rui Henriques, Rui Henriques, 2010, Business Process Management Workshops.

Object-centered Process Modeling

R. Henriques, Rui Henriques, 2010 .

fMRI Multiple Missing Values Imputation Regularized by a Recurrent Denoiser pdf

Rui Henriques, David Calhas, R. Henriques, 2020, AIME.

FleBiC: Learning classifiers from high-dimensional biomedical data using discriminative biclusters with non-constant patterns

Rui Henriques, Sara C. Madeira, S. Madeira, 2021, Pattern Recognit..

G-Tric: generating three-way synthetic datasets with triclustering solutions

Rui Henriques, Sara C. Madeira, João Lobo, 2021, BMC Bioinform..

EEG to fMRI Synthesis Benefits from Attentional Graphs of Electrode Relationships

R. Henriques, David Calhas, Rui Henriques, 2022, MLHC.

EEG to fMRI Synthesis: Is Deep Learning a candidate? pdf

Rui Henriques, David Calhas, R. Henriques, 2020, ISD.

TriSig: Assessing the statistical significance of triclusters

Rafael S. Costa, Leonardo Alexandre, Rui Henriques, 2023, ArXiv.

Spatiotemporal Correlation Feature Spaces to Support Anomaly Detection in Water Distribution Networks

S. Vinga, R. Henriques, Susana C. Gomes, 2021, Water.

User-Specific Bicluster-based Collaborative Filtering: Handling Preference Locality, Sparsity and Subjectivity

R. Henriques, Sara C. Madeira, Miguel G. Silva, 2022, ArXiv.

Triclustering Algorithms for Three-Dimensional Data Analysis

Rui Henriques, Sara C. Madeira, S. Madeira, 2018, ACM Comput. Surv..

BicPAM: Pattern-based biclustering for biomedical data analysis

Rui Henriques, Sara C. Madeira, S. Madeira, 2014, Algorithms for Molecular Biology.

Accessing Emotion Patterns from Affective Interactions Using Electrodermal Activity

Ana Paiva, Cláudia Antunes, Rui Henriques, 2013, 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction.

Sexual satisfaction and distress in sexual functioning in a sample of the BDSM community: a comparison study between BDSM and non-BDSM contexts.

R. Henriques, D. Cardoso, P. Pascoal, 2015, The journal of sexual medicine.

Descriptive Models of Emotion - Learning Useful Abstractions from Physiological Responses during Affective Interactions

Ana Paiva, Rui Henriques, Ana Paiva, 2016, PhyCS.

On the Need of New Methods to Mine Electrodermal Activity in Emotion-Centered Studies

Ana Paiva, Cláudia Antunes, Rui Henriques, 2012, ADMI.

Seven Principles to Mine Flexible Behavior from Physiological Signals for Effective Emotion Recognition and Description in Affective Interactions

Ana Paiva, Rui Henriques, Ana Paiva, 2014, PhyCS.

BSig: evaluating the statistical significance of biclustering solutions

Rui Henriques, Sara C. Madeira, S. Madeira, 2017, Data Mining and Knowledge Discovery.

BicNET: Flexible module discovery in large-scale biological networks using biclustering

Rui Henriques, Sara C. Madeira, S. Madeira, 2016, Algorithms for Molecular Biology.

A structured view on pattern mining-based biclustering

Cláudia Antunes, Rui Henriques, Sara C. Madeira, 2015, Pattern Recognit..

BicSPAM: flexible biclustering using sequential patterns

Rui Henriques, Sara C. Madeira, S. Madeira, 2014, BMC Bioinformatics.

Pattern-centric transformation of omics-data sources grounded on multi-wise gene associations aids predictive tasks in TCGA while ensuring interpretability

Rafael S. Costa, R. Henriques, R. S. Costa, 2023, bioRxiv.