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06/01/2023
TriSig: Assessing the statistical significance of triclusters
Tensor data analysis allows researchers to uncover novel patterns and re...
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12/10/2022
Scaling pattern mining through non-overlapping variable partitioning
Biclustering algorithms play a central role in the biotechnological and ...
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11/15/2022
User-Specific Bicluster-based Collaborative Filtering: Handling Preference Locality, Sparsity and Subjectivity
Collaborative Filtering (CF), the most common approach to build Recommen...
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03/07/2022
EEG to fMRI Synthesis Benefits from Attentional Graphs of Electrode Relationships
Topographical structures represent connections between entities and prov...
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01/27/2022
On the Role of Multi-Objective Optimization to the Transit Network Design Problem
Ongoing traffic changes, including those triggered by the COVID-19 pande...
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05/03/2021
Context-aware demand prediction in bike sharing systems: incorporating spatial, meteorological and calendrical context
Bike sharing demand is increasing in large cities worldwide. The proper ...
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03/07/2021
DI2: prior-free and multi-item discretization ofbiomedical data and its applications
Motivation: A considerable number of data mining approaches for biomedic...
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09/29/2020
EEG to fMRI Synthesis: Is Deep Learning a candidate?
Advances on signal, image and video generation underly major breakthroug...
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09/26/2020
fMRI Multiple Missing Values Imputation Regularized by a Recurrent Denoiser
Functional Magnetic Resonance Imaging (fMRI) is a neuroimaging technique...
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06/05/2019
On the use of Pairwise Distance Learning for Brain Signal Classification with Limited Observations
The increasing access to brain signal data using electroencephalography ...
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05/07/2019
Order-Preserving Pattern Matching Indeterminate Strings
Given an indeterminate string pattern p and an indeterminate string text...
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07/26/2012