An automatic graph layout procedure to visualize correlated data. - Mario Inostroza-Ponta; Regina Berretta; Alexandre Mendes; Pablo Moscato (IFIP AI, 2006)

An Integrated QAP-Based Approach to Visualize Patterns of Gene Expression Similarity. - Mario Inostroza-Ponta; Alexandre Mendes; Regina Berretta; Pablo Moscato (ACAL, 2007)

Clustering Nodes in Large-Scale Biological Networks Using External Memory Algorithms. - Ahmed Shamsul Arefin; Mario Inostroza-Ponta; Luke Mathieson; Regina Berretta; Pablo Moscato (ICA3PP (2), 2011)

Evaluating Memory Schemas in a Memetic Algorithm for the Quadratic Assignment Problem. - Hugo Meneses; Mario Inostroza-Ponta (SCCC, 2011)

A knowledge-based genetic algorithm to predict three-dimensional structures of polypeptides. - Márcio Dorn; Mario Inostroza-Ponta; Luciana S. Buriol; Hugo Verli (IEEE Congress on Evolutionary Computation, 2013)

A Memetic Algorithm for the Quadratic Assignment Problem with parallel local search. - Matthew Harris; Regina Berretta; Mario Inostroza-Ponta; Pablo Moscato (CEC, 2015)

A Memetic Algorithm for Protein Structure Prediction based on Conformational Preferences of Aminoacid Residues. - Mario Inostroza-Ponta; Camilo Farfán; Márcio Dorn (GECCO (Companion), 2015)

APL: An angle probability list to improve knowledge-based metaheuristics for the three-dimensional protein structure prediction. - Bruno Borguesan; Mariel Barbachan e Silva; Bruno Grisci; Mario Inostroza-Ponta; Márcio Dorn (Comput. Biol. Chem., 2015)

A bi-objective model for gene clustering combining expression data and external biological knowledge. - Jorge Parraga-Alava; Mario Inostroza-Ponta (CLEI, 2016)

Evaluation of a combined energy fitness function for a distributed memetic algorithm to tackle the 3D protein structure prediction problem. - Ivan Escobar; Nicolas Hidalgo; Mario Inostroza-Ponta; Mauricio Marín; Erika Rosas; Márcio Dorn (SCCC, 2016)

A New Strategy to Evaluate Technical Efficiency in Hospitals Using Homogeneous Groups of Casemix - How to Evaluate When There is Not DRGs? - Manuel Villalobos-Cid; Max Chacón; Pedro Zitko; Mario Inostroza-Ponta (J. Medical Syst., 2016)

An evolutionary multi-agent algorithm to explore the high degree of selectivity in three-dimensional protein structures. - Leonardo de Lima Correa; Mario Inostroza-Ponta; Márcio Dorn (CEC, 2017)

Using local search strategies to improve the performance of NSGA-II for the Multi-Criteria Minimum Spanning Tree problem. - Jorge Parraga-Alava; Márcio Dorn; Mario Inostroza-Ponta (CEC, 2017)

Evaluating the use of local search strategies for a memetic algorithm for the protein-ligand docking problem. - Benjamin Ruiz-Tagle; Manuel Villalobos-Cid; Márcio Dorn; Mario Inostroza-Ponta (SCCC, 2017)

Tackling the bi-objective quadratic assignment problem by characterizing different memory strategies in a memetic algorithm. - Roberto Sandoval-Soto; Manuel Villalobos-Cid; Mario Inostroza-Ponta (SCCC, 2017)

Application of different multi-objective decision making techniques in the phylogenetic inference problem. - Manuel Villalobos-Cid; Daniel Vega-Araya; Mario Inostroza-Ponta (SCCC, 2017)

A Bi-Objective Clustering Algorithm for Gene Expression Data. - Jorge Parraga-Alava; Mario Inostroza-Ponta (CLEI Electron. J., 2017)

NIAS-Server: Neighbors Influence of Amino acids and Secondary Structures in Proteins. - Bruno Borguesan; Mario Inostroza-Ponta; Márcio Dorn (J. Comput. Biol., 2017)

A Genetic Algorithm Based on Restricted Tournament Selection for the 3D-PSP Problem. - Bruno Borguesan; Pedro Henrique Narloch; Mario Inostroza-Ponta; Márcio Dorn (CEC, 2018)

Performance Comparison of Multi-Objective Local Search Strategies to Infer Phylogenetic Trees. - Manuel Villalobos-Cid; Márcio Dorn; Mario Inostroza-Ponta (CEC, 2018)

Understanding the Relationship Between Decision and Objective Space in the Multi-Objective Phylogenetic Inference Problem. - Manuel Villalobos-Cid; Márcio Dorn; Mario Inostroza-Ponta (CEC, 2018)

Unsupervised Pattern Recognition for Geographical Clustering of Seismic Events Post MW 7.8 Ecuador Earthquake. - Jorge Parraga-Alava; Gustavo Molina Garzon; Roberth Alcivar Cevallos; Mario Inostroza-Ponta (SCCC, 2018)

A multi-objective gene clustering algorithm guided by apriori biological knowledge with intensification and diversification strategies. - Jorge Parraga-Alava; Márcio Dorn; Mario Inostroza-Ponta (BioData Min., 2018)

A Memetic Algorithm for 3D Protein Structure Prediction Problem. - Leonardo de Lima Correa; Bruno Borguesan; Camilo Farfán; Mario Inostroza-Ponta; Márcio Dorn (IEEE ACM Trans. Comput. Biol. Bioinform., 2018)

World's Best Universities and Personalized Rankings. - Mario Inostroza-Ponta; Natalie Jane de Vries; Pablo Moscato (Handbook of Heuristics, 2018)

Visualizing Products and Consumers: A Gestalt Theory Inspired Method. - Claudio Sanhueza Lobos; Natalie Jane de Vries; Mario Inostroza-Ponta; Regina Berretta; Pablo Moscato (Business and Consumer Analytics: New Ideas, 2019)

A multi-objective optimisation evolutionary approach for the Multidimensional Scaling Problem. - Juan Giglio; Mario Inostroza-Ponta; Manuel Villalobos-Cid (SCCC, 2019)

An Unsupervised Learning Approach for Automatically to Categorize Potential Suicide Messages in Social Media. - Jorge Parraga-Alava; Roberto Acuña Caicedo; José Manuel Gómez; Mario Inostroza-Ponta (SCCC, 2019)

Dealing with the Balanced Academic Curriculum Problem considering the Chilean Academic Credit Transfer System. - Manuel Villalobos-Cid; Maximiliano Orellana; Oscar C. Vásquez 001; Eduardo Pinto-Sothers; Mario Inostroza-Ponta (SCCC, 2019)

A Memetic Algorithm Based on an NSGA-II Scheme for Phylogenetic Tree Inference. - Manuel Villalobos-Cid; Márcio Dorn; Rodrigo Ligabue-Braun; Mario Inostroza-Ponta (IEEE Trans. Evol. Comput., 2019)

A dynamic evolutionary multi-agent system to predict the 3D structure of proteins. - Leonardo de Lima Correa; Luciana Arantes; Pierre Sens 001; Mario Inostroza-Ponta; Márcio Dorn (CEC, 2020)

A multimodal multi-objective optimisation approach to deal with the phylogenetic inference problem. - César Rivera; Mario Inostroza-Ponta; Manuel Villalobos-Cid (CIBCB, 2020)

Evaluating the categorisation of the public hospitals in Chile according to case-mix complexity: a genetic algorithm approach. - Angelo Carlier González; José Lillo; Mario Inostroza-Ponta; Manuel Villalobos-Cid (SCCC, 2020)

Influence of the go-based semantic similarity measures in multi-objective gene clustering algorithm performance. - Jorge Parraga-Alava; Mario Inostroza-Ponta (J. Bioinform. Comput. Biol., 2020)

Total evidence or taxonomic congruence? A comparison of methods for combining biological evidence. - Manuel Villalobos-Cid; Francisco Salinas; Mario Inostroza-Ponta (J. Bioinform. Comput. Biol., 2020)

Exploring the high selectivity of 3-D protein structures using distributed memetic algorithms. - Mario Inostroza-Ponta; Márcio Dorn; Ivan Escobar; Leonardo de Lima Correa; Erika Rosas; Nicolas Hidalgo; Mauricio Marín (J. Comput. Sci., 2020)

A multi-objective approach for the protein structure prediction problem. - Sebastián Aliaga-Rojas; Manuel Villalobos-Cid; Márcio Dorn; Mario Inostroza-Ponta (SCCC, 2021)

Single-solution based metaheuristic approach to a novel restricted clustering problem. - José Fernández Goycoolea; Mario Inostroza-Ponta; Manuel Villalobos-Cid; Mauricio Marín (SCCC, 2021)

Improving solution diversity on NSGA-II for multi-objective clustering problems. - Vicente Rivera-Rebolledo; Manuel Villalobos-Cid; Mario Inostroza-Ponta (SCCC, 2022)

A multi-modal algorithm based on an NSGA-II scheme for phylogenetic tree inference. - Manuel Villalobos-Cid; César Rivera; Eduardo I. Kessi-Pérez; Mario Inostroza-Ponta (Biosyst., 2022)

Evaluating the incorporation of Biological Knowledge in multiobjective clustering of gene expression data. - Nicolás Mariángel; Juan Giglio; Sebastián Aliaga-Rojas; Manuel Villalobos-Cid; Mario Inostroza-Ponta (SCCC, 2023)

An evolutionary algorithm based on parsimony for the multiobjective phylogenetic network inference problem. - Manuel Villalobos-Cid; Márcio Dorn; Ángela Contreras; Mario Inostroza-Ponta (Appl. Soft Comput., 2023)

A Multiobjective Evolutionary Algorithm for Colon Cancer Biomarkers Identification on Gene Expression Data. - Jorge Cubillos-Chaparro; Márcio Dorn; Manuel Villalobos-Cid; Mario Inostroza-Ponta (CIBCB, 2024)

Evaluating Alternate Feature Sets as a Local Search Strategy for Gene Expression Feature Selection Problem. - Pamela Landero-Sepúlveda; Sofia Castro-Castro; Mario Inostroza-Ponta (SCCC, 2024)

A multi-objective optimisation approach for the linear modelling of cerebral autoregulation system. - Felipe-Andrés Bello Robles; Manuel Villalobos-Cid; Max Chacón; Mario Inostroza-Ponta (Biosyst., 2024)

Assessing feature scorer results on high-dimensional datasets with t-SNE. - Bruno Iochins Grisci; Mario Inostroza-Ponta; Márcio Dorn (Neurocomputing, 2025)