Mario Inostroza-Ponta

46 papers B 8C 3Journal 14Unranked 19

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Assessing feature scorer results on high-dimensional datasets with t-SNE. Neurocomputing Bruno Iochins Grisci, Mario Inostroza-Ponta, Márcio Dorn
2024	C	`conf`	A Multiobjective Evolutionary Algorithm for Colon Cancer Biomarkers Identification on Gene Expression Data. CIBCB Jorge Cubillos-Chaparro, Márcio Dorn, Manuel Villalobos-Cid, Mario Inostroza-Ponta
2024	J	`jnl`	A multi-objective optimisation approach for the linear modelling of cerebral autoregulation system. Biosyst. Felipe-Andrés Bello Robles, Manuel Villalobos-Cid, Max Chacón, Mario Inostroza-Ponta
2024	—	`conf`	Evaluating Alternate Feature Sets as a Local Search Strategy for Gene Expression Feature Selection Problem. SCCC Pamela Landero-Sepúlveda, Sofia Castro-Castro, Mario Inostroza-Ponta
2023	J	`jnl`	An evolutionary algorithm based on parsimony for the multiobjective phylogenetic network inference problem. Appl. Soft Comput. Manuel Villalobos-Cid, Márcio Dorn, Ángela Contreras, Mario Inostroza-Ponta
2023	—	`conf`	Evaluating the incorporation of Biological Knowledge in multiobjective clustering of gene expression data. SCCC Nicolás Mariángel, Juan Giglio, Sebastián Aliaga-Rojas, Manuel Villalobos-Cid, Mario Inostroza-Ponta
2022	J	`jnl`	A multi-modal algorithm based on an NSGA-II scheme for phylogenetic tree inference. Biosyst. Manuel Villalobos-Cid, César Rivera, Eduardo I. Kessi-Pérez, Mario Inostroza-Ponta
2022	—	`conf`	Improving solution diversity on NSGA-II for multi-objective clustering problems. SCCC Vicente Rivera-Rebolledo, Manuel Villalobos-Cid, Mario Inostroza-Ponta
2021	—	`conf`	A multi-objective approach for the protein structure prediction problem. SCCC Sebastián Aliaga-Rojas, Manuel Villalobos-Cid, Márcio Dorn, Mario Inostroza-Ponta
2021	—	`conf`	Single-solution based metaheuristic approach to a novel restricted clustering problem. SCCC José Fernández Goycoolea, Mario Inostroza-Ponta, Manuel Villalobos-Cid, Mauricio Marín
2020	B	`conf`	A dynamic evolutionary multi-agent system to predict the 3D structure of proteins. CEC Leonardo de Lima Correa, Luciana Arantes, Pierre Sens, Mario Inostroza-Ponta, Márcio Dorn
2020	C	`conf`	A multimodal multi-objective optimisation approach to deal with the phylogenetic inference problem. CIBCB César Rivera, Mario Inostroza-Ponta, Manuel Villalobos-Cid
2020	—	`conf`	Evaluating the categorisation of the public hospitals in Chile according to case-mix complexity: a genetic algorithm approach. SCCC Angelo Carlier González, José Lillo, Mario Inostroza-Ponta, Manuel Villalobos-Cid
2020	J	`jnl`	Exploring the high selectivity of 3-D protein structures using distributed memetic algorithms. J. Comput. Sci. Mario Inostroza-Ponta, Márcio Dorn, Ivan Escobar, Leonardo de Lima Correa, Erika Rosas, Nicolas Hidalgo, Mauricio Marín
2020	J	`jnl`	Influence of the go-based semantic similarity measures in multi-objective gene clustering algorithm performance. J. Bioinform. Comput. Biol. Jorge Parraga-Alava, Mario Inostroza-Ponta
2020	J	`jnl`	Total evidence or taxonomic congruence? A comparison of methods for combining biological evidence. J. Bioinform. Comput. Biol. Manuel Villalobos-Cid, Francisco Salinas, Mario Inostroza-Ponta
2019	J	`jnl`	A Memetic Algorithm Based on an NSGA-II Scheme for Phylogenetic Tree Inference. IEEE Trans. Evol. Comput. Manuel Villalobos-Cid, Márcio Dorn, Rodrigo Ligabue-Braun, Mario Inostroza-Ponta
2019	—	`conf`	A multi-objective optimisation evolutionary approach for the Multidimensional Scaling Problem. SCCC Juan Giglio, Mario Inostroza-Ponta, Manuel Villalobos-Cid
2019	—	`conf`	An Unsupervised Learning Approach for Automatically to Categorize Potential Suicide Messages in Social Media. SCCC Jorge Parraga-Alava, Roberto Acuña Caicedo, José Manuel Gómez, Mario Inostroza-Ponta
2019	—	`conf`	Dealing with the Balanced Academic Curriculum Problem considering the Chilean Academic Credit Transfer System. SCCC Manuel Villalobos-Cid, Maximiliano Orellana, Oscar C. Vásquez, Eduardo Pinto-Sothers, Mario Inostroza-Ponta
2019	—	`ch.`	Visualizing Products and Consumers: A Gestalt Theory Inspired Method. Business and Consumer Analytics: New Ideas Claudio Sanhueza Lobos, Natalie Jane de Vries, Mario Inostroza-Ponta, Regina Berretta, Pablo Moscato
2018	B	`conf`	A Genetic Algorithm Based on Restricted Tournament Selection for the 3D-PSP Problem. CEC Bruno Borguesan, Pedro Henrique Narloch, Mario Inostroza-Ponta, Márcio Dorn
2018	J	`jnl`	A Memetic Algorithm for 3D Protein Structure Prediction Problem. IEEE ACM Trans. Comput. Biol. Bioinform. Leonardo de Lima Correa, Bruno Borguesan, Camilo Farfán, Mario Inostroza-Ponta, Márcio Dorn
2018	J	`jnl`	A multi-objective gene clustering algorithm guided by apriori biological knowledge with intensification and diversification strategies. BioData Min. Jorge Parraga-Alava, Márcio Dorn, Mario Inostroza-Ponta
2018	B	`conf`	Performance Comparison of Multi-Objective Local Search Strategies to Infer Phylogenetic Trees. CEC Manuel Villalobos-Cid, Márcio Dorn, Mario Inostroza-Ponta
2018	B	`conf`	Understanding the Relationship Between Decision and Objective Space in the Multi-Objective Phylogenetic Inference Problem. CEC Manuel Villalobos-Cid, Márcio Dorn, Mario Inostroza-Ponta
2018	—	`conf`	Unsupervised Pattern Recognition for Geographical Clustering of Seismic Events Post MW 7.8 Ecuador Earthquake. SCCC Jorge Parraga-Alava, Gustavo Molina Garzon, Roberth Alcivar Cevallos, Mario Inostroza-Ponta
2018	—	`ch.`	World's Best Universities and Personalized Rankings. Handbook of Heuristics Mario Inostroza-Ponta, Natalie Jane de Vries, Pablo Moscato
2017	J	`jnl`	A Bi-Objective Clustering Algorithm for Gene Expression Data. CLEI Electron. J. Jorge Parraga-Alava, Mario Inostroza-Ponta
2017	B	`conf`	An evolutionary multi-agent algorithm to explore the high degree of selectivity in three-dimensional protein structures. CEC Leonardo de Lima Correa, Mario Inostroza-Ponta, Márcio Dorn
2017	—	`conf`	Application of different multi-objective decision making techniques in the phylogenetic inference problem. SCCC Manuel Villalobos-Cid, Daniel Vega-Araya, Mario Inostroza-Ponta
2017	—	`conf`	Evaluating the use of local search strategies for a memetic algorithm for the protein-ligand docking problem. SCCC Benjamin Ruiz-Tagle, Manuel Villalobos-Cid, Márcio Dorn, Mario Inostroza-Ponta
2017	J	`jnl`	NIAS-Server: Neighbors Influence of Amino acids and Secondary Structures in Proteins. J. Comput. Biol. Bruno Borguesan, Mario Inostroza-Ponta, Márcio Dorn
2017	—	`conf`	Tackling the bi-objective quadratic assignment problem by characterizing different memory strategies in a memetic algorithm. SCCC Roberto Sandoval-Soto, Manuel Villalobos-Cid, Mario Inostroza-Ponta
2017	B	`conf`	Using local search strategies to improve the performance of NSGA-II for the Multi-Criteria Minimum Spanning Tree problem. CEC Jorge Parraga-Alava, Márcio Dorn, Mario Inostroza-Ponta
2016	J	`jnl`	A New Strategy to Evaluate Technical Efficiency in Hospitals Using Homogeneous Groups of Casemix - How to Evaluate When There is Not DRGs? J. Medical Syst. Manuel Villalobos-Cid, Max Chacón, Pedro Zitko, Mario Inostroza-Ponta
2016	C	`conf`	A bi-objective model for gene clustering combining expression data and external biological knowledge. CLEI Jorge Parraga-Alava, Mario Inostroza-Ponta
2016	—	`conf`	Evaluation of a combined energy fitness function for a distributed memetic algorithm to tackle the 3D protein structure prediction problem. SCCC Ivan Escobar, Nicolas Hidalgo, Mario Inostroza-Ponta, Mauricio Marín, Erika Rosas, Márcio Dorn
2015	—	`conf`	A Memetic Algorithm for Protein Structure Prediction based on Conformational Preferences of Aminoacid Residues. GECCO (Companion) Mario Inostroza-Ponta, Camilo Farfán, Márcio Dorn
2015	B	`conf`	A Memetic Algorithm for the Quadratic Assignment Problem with parallel local search. CEC Matthew Harris, Regina Berretta, Mario Inostroza-Ponta, Pablo Moscato
2015	J	`jnl`	APL: An angle probability list to improve knowledge-based metaheuristics for the three-dimensional protein structure prediction. Comput. Biol. Chem. Bruno Borguesan, Mariel Barbachan e Silva, Bruno Grisci, Mario Inostroza-Ponta, Márcio Dorn
2013	B	`conf`	A knowledge-based genetic algorithm to predict three-dimensional structures of polypeptides. IEEE Congress on Evolutionary Computation Márcio Dorn, Mario Inostroza-Ponta, Luciana S. Buriol, Hugo Verli
2011	—	`conf`	Clustering Nodes in Large-Scale Biological Networks Using External Memory Algorithms. ICA3PP (2) Ahmed Shamsul Arefin, Mario Inostroza-Ponta, Luke Mathieson, Regina Berretta, Pablo Moscato
2011	—	`conf`	Evaluating Memory Schemas in a Memetic Algorithm for the Quadratic Assignment Problem. SCCC Hugo Meneses, Mario Inostroza-Ponta
2007	—	`conf`	An Integrated QAP-Based Approach to Visualize Patterns of Gene Expression Similarity. ACAL Mario Inostroza-Ponta, Alexandre Mendes, Regina Berretta, Pablo Moscato
2006	—	`conf`	An automatic graph layout procedure to visualize correlated data. IFIP AI Mario Inostroza-Ponta, Regina Berretta, Alexandre Mendes, Pablo Moscato