3 citations · 7 across the 8 of their papers we have counts for
9 papers
TriSig: Assessing the statistical significance of triclusters
Leonardo Alexandre, Rafael S. Costa, Rui Henriques
Tensor data analysis allows researchers to uncover novel patterns and relationships that cannot be obtained from matrix data alone. The information inferred from the patterns provi…
Scaling pattern mining through non-overlapping variable partitioning
Leonardo Alexandre, Rafael S. Costa, Rui Henriques
Biclustering algorithms play a central role in the biotechnological and biomedical domains. The knowledge extracted supports the extraction of putative regulatory modules, essentia…
User-Specific Bicluster-based Collaborative Filtering: Handling Preference Locality, Sparsity and Subjectivity
Miguel G. Silva, Rui Henriques, Sara C. Madeira
Collaborative Filtering (CF), the most common approach to build Recommender Systems, became pervasive in our daily lives as consumers of products and services. However, challenges…
EEG to fMRI Synthesis Benefits from Attentional Graphs of Electrode Relationships
David Calhas, Rui Henriques
Topographical structures represent connections between entities and provide a comprehensive design of complex systems. Currently these structures are used to discover correlates of…
DI2: prior-free and multi-item discretization ofbiomedical data and its applications
Leonardo Alexandre, Rafael S. Costa, Rui Henriques
Motivation: A considerable number of data mining approaches for biomedical data analysis, including state-of-the-art associative models, require a form of data discretization. Alth…
EEG to fMRI Synthesis: Is Deep Learning a candidate?
David Calhas, Rui Henriques
Advances on signal, image and video generation underly major breakthroughs on generative medical imaging tasks, including Brain Image Synthesis. Still, the extent to which function…
fMRI Multiple Missing Values Imputation Regularized by a Recurrent Denoiser
David Calhas, Rui Henriques
Functional Magnetic Resonance Imaging (fMRI) is a neuroimaging technique with pivotal importance due to its scientific and clinical applications. As with any widely used imaging mo…
On the use of Pairwise Distance Learning for Brain Signal Classification with Limited Observations
David Calhas, Enrique Romero, Rui Henriques
The increasing access to brain signal data using electroencephalography creates new opportunities to study electrophysiological brain activity and perform ambulatory diagnoses of n…
Order-Preserving Pattern Matching Indeterminate Strings
Diogo Costa, Luís M. S. Russo, Rui Henriques +2
Given an indeterminate string pattern and an indeterminate string text , the problem of order-preserving pattern matching with character uncertainties (OPPM) is to find a…