A novel ab-initio genetic-based approach for protein folding prediction. - Sergio Raul Duarte Torres; David Camilo Becerra Romero; Luis Fernando Niño Vasquez; Yoan José Pinzón Ardila (GECCO, 2007)

Un modelo basado en reglas de asociación para la extracción de información en datos de secuencias de proteínas. - David Camilo Becerra Romero; Giovanni Cantor; Luis F. Niño; Jonatan Gómez; Leonardo Bobadilla (Rev. Avances en Sistemas Informática, 2008)

Un modelo de asignación de recursos a rutas en el sistema de transporte masivo Transmilenio. - Sergio Raul Duarte Torres; David Camilo Becerra Romero; Luis F. Niño (Rev. Avances en Sistemas Informática, 2008)

An association rule based approach for biological sequence feature classification. - David Camilo Becerra Romero; Diana Vanegas; Giovanni Cantor; Luis Fernando Niño Vasquez (IEEE Congress on Evolutionary Computation, 2009)

A New Chinese Remainder Algorithm for Image-based Encryption. - Sérgio Duarte; David Camilo Becerra Romero; Yoan José Pinzón Ardila (Rev. Colomb. de Computación, 2009)

An algorithm for Constrained LCS. - David Becerra; Wilson Soto; Luis F. Niño; Yoan J. Pinzón (AICCSA, 2010)

A parallel multi-objective ab initio approach for protein structure prediction. - David Becerra; Angelica Sandoval; Daniel Restrepo-Montoya; Luis F. Niño (BIBM, 2010)

A parallel framework for multi-objective evolutionary optimization. - Dipankar Dasgupta; David Camilo Becerra Romero; Alex Banceanu; Fernando Niño; James Simien (IEEE Congress on Evolutionary Computation, 2010)

A Genetic-Based Solution to the Task-Based Sailor Assignment Problem. - Dipankar Dasgupta; Deon Garrett; Fernando Niño; Alex Banceanu; David Becerra (Variants of Evolutionary Algorithms for Real-World Applications, 2012)

A Multiobjective Approach to the Weighted Longest Common Subsequence Problem. - David Becerra; Juan Mendivelso; Yoan J. Pinzón (Stringology, 2012)

A Multi-objective Optimization Energy Approach to Predict the Ligand Conformation in a Docking Process. - Angelica Sandoval-Perez; David Becerra; Diana Vanegas; Daniel Restrepo-Montoya; Fernando Niño (EuroGP, 2013)

A Multi-Objective Evolutionary Algorithm for Improving Multiple Sequence Alignments. - Wilson Soto; David Becerra (BSB, 2014)

A multiobjective optimization algorithm for the weighted LCS. - David Becerra; Juan Mendivelso; Yoan J. Pinzón (Discret. Appl. Math., 2016)

On Stable States in a Topologically Driven Protein Folding Model. - Zheng Dai; David Becerra; Jérôme Waldispühl (J. Comput. Biol., 2017)

Month-long, In-home Case Study of a Socially Assistive Robot for Children with Autism Spectrum Disorder. - Caitlyn Clabaugh; David Becerra; Eric Deng; Gisele Ragusa; Maja J. Mataric (HRI (Companion), 2018)

Proceedings of the Workshop on Social Robots in Therapy: Focusing on Autonomy and Ethical Challenges. - Pablo Gómez Esteban; Daniel Hernández García; Hee Rin Lee; Pauline Chevalier; Paul Baxter 001; Cindy L. Bethel; Jainendra Shukla; Joan Oliver; Domenec Puig; Jason R. Wilson; Linda Tickle-Degnen; Madeleine Bartlett; et al. (CoRR, 2018)

Long-Term Personalization of an In-Home Socially Assistive Robot for Children With Autism Spectrum Disorders. - Caitlyn Clabaugh; Kartik Mahajan; Shomik Jain; Roxanna Pakkar; David Becerra; Zhonghao Shi; Eric Deng; Rhianna Lee; Gisele Ragusa; Maja J. Mataric (Frontiers Robotics AI, 2019)

Fast and flexible coarse-grained prediction of protein folding routes using ensemble modeling and evolutionary sequence variation. - David Becerra; Alexander Butyaev; Jérôme Waldispühl (Bioinform., 2020)

Selecting training samples for ovarian cancer classification via a semi-supervised clustering approach. - Jennifer Salguero López; Prateek Prasanna; Germán Corredor; Angel Cruz-Roa; David Becerra; Eduardo Romero 001 (Digital and Computational Pathology, 2022)

Segmentation of Large Historical Manuscript Bundles into Multi-page Deeds. - José Ramón Prieto; David Becerra; Alejandro Héctor Toselli; Carlos Alonso; Enrique Vidal 001 (IbPRIA, 2023)

An automatic classification of metaplasia in gastric histopathology images. - Mauricio Caviedes; Fabián Cano; David Becerra; Angel Cruz-Roa; Eduardo Romero 001 (SIPAIM, 2023)

Estimation of the Survival Time of Ovarian Serous Carcinoma by approximating a Tumor Microenvironment. - Eileen Montoya Rodríguez; Jennifer Salguero López; David Becerra; Eduardo Romero Castro (SIPAIM, 2023)

UltraCytomic: A cross-scale exploration to improve risk estimation of the malignant thyroid nodule. - Jonathan Tarquino; Angela Duque; Gina Sanchez; Andres Siabatto; Jose Miguel Quijano; David Becerra; Alejandro Vega; Eduardo Romero 001 (SIPAIM, 2023)

Finding Out and Quantifying Nuclei Differences in Metaplastic Gastric Glands and Surrounding Nuclei. - Ricardo A. Moncayo; María Jaramillo; Leidy T. Molano; David Cordoba; David Becerra; Javier Revelo-Fuelagán; Martín Gómez; Fabio A. González 001; Eduardo Romero 001 (ISBI, 2024)

Human-in-the-Loop (HITL) Learning for Identifying Glioblastoma Hallmarks on H&E Slides. - Alvaro A. Sandino; Olivia Krebs; David Becerra; Nelly J. Sandino; Jeffrey Helgager; Eduardo Romero 001; Pallavi Tiwari (ISBI, 2024)

Data distillation in computational pathology by choosing few representants of the original variance: A use case in ovarian cancer. - Jennifer Salguero; Prateek Prasanna; Germán Corredor; Angel Cruz-Roa; David Becerra; Eduardo Romero 001 (Expert Syst. Appl., 2024)

Segmenting large historical notarial manuscripts into multi-page deeds. - José Ramón Prieto; David Becerra; Alejandro Héctor Toselli; Carlos Alonso; Enrique Vidal 001 (Pattern Anal. Appl., 2024)