activity
20102026
most citedA Top-down Supervised Learning Approach to Hierarchical Multi-label Classification in Networks

16 citations · 47 across the 13 of their papers we have counts for

collaborators

13 papers

cs.LO2026

Equational and Inductive Reasoning for Maude in Athena

Mateo Sanabria, Carlos Varela, Camilo Rocha +1

In the rewriting logic framework, equational-based specifications are used to define deterministic functional behavior, abstract data types, and canonical representations of data.…

cs.LG2022

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 (…

cs.LO2022

A Rewriting Logic Semantics and Statistical Analysis for Probabilistic Event-B

Carlos Olarte, Camilo Rocha, Daniel Osorio

Probabilistic specifications are fast gaining ground as a tool for statistical modeling of probabilistic systems. One of the main goals of formal methods in this domain is to ensur…

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…

q-bio.MN2020★ 12 cited

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…