16 citations · 17 across the 3 of their papers we have counts for
3 papers
cs.LG2022★ 1 cited
Feature extraction using Spectral Clustering for Gene Function Prediction using Hierarchical Multi-label Classification
Miguel Romero, Oscar Ramírez, Jorge Finke +1
Gene annotation addresses the problem of predicting unknown associations between gene and functions (e.g., biological processes) of a specific organism. Despite recent advances, th…
cs.LG2022★ 16 cited
A Top-down Supervised Learning Approach to Hierarchical Multi-label Classification in Networks
Miguel Romero, Jorge Finke, Camilo Rocha
Node classification is the task of inferring or predicting missing node attributes from information available for other nodes in a network. This paper presents a general prediction…
cs.LG2020
Spectral Evolution with Approximated Eigenvalue Trajectories for Link Prediction
Miguel Romero, Jorge Finke, Camilo Rocha +1
The spectral evolution model aims to characterize the growth of large networks (i.e., how they evolve as new edges are established) in terms of the eigenvalue decomposition of the…