16 citations · 54 across the 10 of their papers we have counts for
10 papers
Hierarchy exploitation to detect missing annotations on hierarchical multi-label classification
Miguel Romero, Felipe Kenji Nakano, Jorge Finke +2
The availability of genomic data has grown exponentially in the last decade, mainly due to the development of new sequencing technologies. Based on the interactions between genes (…
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…
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…
Characterizing the head of the degree distributions of growing networks
Jan Medina-López, Jorge Finke
The analysis in this paper helps to explain the formation of growing networks with degree distributions that follow extended exponential or power-law tails. We present a generic mo…
Identifying Stress Responsive Genes using Overlapping Communities in Co-expression Networks
Camila Riccio, Jorge Finke, Camilo Rocha
This paper proposes a workflow to identify genes that respond to specific treatments in plants. The workflow takes as input the RNA sequencing read counts and phenotypical data of…
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…
A Random Network Model for the Analysis of Blockchain Designs with Communication Delay
Carlos Pinzón, Camilo Rocha, Jorge Finke
This paper proposes a random network model for blockchains, a distributed hierarchical data structure of blocks that has found several applications in various industries. The model…
Estimating Formation Mechanisms and Degree Distributions in Mixed Attachment Networks
Jan Medina, Jorge Finke, Camilo Rocha
Our work introduces an approach for estimating the contribution of attachment mechanisms to the formation of growing networks. We present a generic model in which growth is driven…
On the formation of structure in growing networks
P. Moriano, J. Finke
Based on the formation of triad junctions, the proposed mechanism generates networks that exhibit extended rather than single power law behavior. Triad formation guarantees strong…
Power-law weighted networks from local attachments
P. Moriano, J. Finke
This letter introduces a mechanism for constructing, through a process of distributed decision-making, substrates for the study of collective dynamics on extended power-law weighte…