Search Results for author: Camilo Rocha

Found 6 papers, 1 papers with code

Hierarchy exploitation to detect missing annotations on hierarchical multi-label classification

no code implementations13 Jul 2022 Miguel Romero, Felipe Kenji Nakano, Jorge Finke, Camilo Rocha, Celine Vens

The availability of genomic data has grown exponentially in the last decade, mainly due to the development of new sequencing technologies.

Hierarchical Multi-label Classification

Feature extraction using Spectral Clustering for Gene Function Prediction using Hierarchical Multi-label Classification

1 code implementation25 Mar 2022 Miguel Romero, Oscar Ramírez, Jorge Finke, Camilo Rocha

Gene annotation addresses the problem of predicting unknown associations between gene and functions (e. g., biological processes) of a specific organism.

Hierarchical Multi-label Classification

A Top-down Supervised Learning Approach to Hierarchical Multi-label Classification in Networks

no code implementations23 Mar 2022 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.

Classification Hierarchical Multi-label Classification +1

A Rewriting Logic Approach to Specification, Proof-search, and Meta-proofs in Sequent Systems

no code implementations8 Jan 2021 Carlos Olarte, Elaine Pimentel, Camilo Rocha

This paper develops an algorithmic-based approach for proving inductive properties of propositional sequent systems such as admissibility, invertibility, cut-elimination, and identity expansion.

Logic in Computer Science Logic

Identifying Stress Responsive Genes using Overlapping Communities in Co-expression Networks

no code implementations23 Oct 2020 Camila Riccio, Jorge Finke, Camilo Rocha

The workflow identifies 19 rice genes that seem relevant in the response to salt stress.

Spectral Evolution with Approximated Eigenvalue Trajectories for Link Prediction

no code implementations22 Jun 2020 Miguel Romero, Jorge Finke, Camilo Rocha, Luis Tobón

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 adjacency matrices.

Link Prediction

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