Duncan Dubugras Alcoba Ruiz

Orcid: 0000-0002-4071-3246

Affiliations:
  • Pontifical Catholic University of Rio Grande do Sul, PUCRS, Brazil


According to our database1, Duncan Dubugras Alcoba Ruiz authored at least 79 papers between 1989 and 2023.

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Bibliography

2023
Imagery contents descriptions for People with visual impairments.
Proceedings of the XXII Brazilian Symposium on Human Factors in Computing Systems, 2023

2022
Extending the Project Management Body of Knowledge (PMBOK) for Data Visualization in Software Project Management.
SN Comput. Sci., 2022

On the use of Machine Learning and Deep Learning for Text Similarity and Categorization and its Application to Troubleshooting Automation.
Proceedings of the 55th Hawaii International Conference on System Sciences, 2022

Leveraging Textual Descriptions for House Price Valuation.
Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022

2021
Visual Explanation for Identification of the Brain Bases for Developmental Dyslexia on fMRI Data.
Frontiers Comput. Neurosci., 2021

Image Descriptions' Limitations for People with Visual Impairments: Where Are We and Where Are We Going?
Proceedings of the IHC '21: XX Brazilian Symposium on Human Factors in Computing Systems, 2021

A PMBoK Extension Proposal for Data Visualization in Software Project Management.
Proceedings of the 23rd International Conference on Enterprise Information Systems, 2021

Challenges in using Machine Learning to Support Software Engineering.
Proceedings of the 23rd International Conference on Enterprise Information Systems, 2021

2020
Visual Explanation for Identification of the Brain Bases for Dyslexia on fMRI Data.
CoRR, 2020

HAPRec: Hybrid Activity and Plan Recognizer.
CoRR, 2020

SmartIX: A database indexing agent based on reinforcement learning.
Appl. Intell., 2020

Efficient Neural Architecture for Text-to-Image Synthesis.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

How Machine Learning Has Been Applied in Software Engineering?
Proceedings of the 22nd International Conference on Enterprise Information Systems, 2020

2019
GADIS: A Genetic Algorithm for Database Index Selection (S).
Proceedings of the 31st International Conference on Software Engineering and Knowledge Engineering, 2019

A Mapping Study about Data Lakes: An Improved Definition and Possible Architectures.
Proceedings of the 31st International Conference on Software Engineering and Knowledge Engineering, 2019

2018
Fusing Scene Context to Improve Object Recognition.
J. Inf. Data Manag., 2018

A selective method for optimizing ensemble docking-based experiments on an InhA Fully-Flexible receptor model.
BMC Bioinform., 2018

A Framework for Identification and Monitoring of Profiles and Behaviors of Users Based on Mobile App Usage.
Proceedings of the XXXIII Simpósio Brasileiro de Banco de Dados: Demos e WTDBD, 2018

Towards High-Resolution Face Pose Synthesis.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Measuring Semantic Similarity Between Sentences Using A Siamese Neural Network.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

GAN-Based Realistic Face Pose Synthesis with Continuous Latent Code.
Proceedings of the Thirty-First International Florida Artificial Intelligence Research Society Conference, 2018

Bandit-Based Automated Machine Learning.
Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018

2017
Effect of Metalearning on Feature Selection Employment.
Proceedings of the International Workshop on Automatic Selection, 2017

Customer: A novel customer churn prediction method based on mobile application usage.
Proceedings of the 13th International Wireless Communications and Mobile Computing Conference, 2017

Media Professionals' Opinions about Interactive Visualizations of Political Polarization during Brazilian Presidential Campaigns on Twitter.
Proceedings of the 50th Hawaii International Conference on System Sciences, 2017

Virtual Screening Assisted by Siamese Neural Networks.
Proceedings of the Thirtieth International Florida Artificial Intelligence Research Society Conference, 2017

Hybrid Activity and Plan Recognition for Video Streams.
Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
A meta-learning framework for algorithm recommendation in software fault prediction.
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016

Movie genre classification with Convolutional Neural Networks.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

(Deep) Learning from Frames.
Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016

2015
Clustering Molecular Dynamics Trajectories for Optimizing Docking Experiments.
Comput. Intell. Neurosci., 2015

P-SaMI: a data-flow pattern to perform massively-parallel molecular docking experiments using a fully-flexible receptor model.
Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015

Computationally-efficient classification of HEp-2 cell patterns in IIF images.
Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015

Evolving regression trees robust to missing data.
Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015

A Cloud-Based Workflow Approach for Optimizing Molecular Docking Simulations of Fully-Flexible Receptor Models and Multiple Ligands.
Proceedings of the 7th IEEE International Conference on Cloud Computing Technology and Science, 2015

2014
A strategic solution to optimize molecular docking simulations using Fully-Flexible Receptor models.
Expert Syst. Appl., 2014

2013
Evaluating the performance of regression algorithms on datasets with missing data.
Int. J. Bus. Intell. Data Min., 2013

Improving bathymetric images exploration: A data mining approach.
Comput. Geosci., 2013

Evaluating the Influence of Missing Data on Classification Algorithms in Data Mining Applications.
Proceedings of the 9th Brazilian Symposium on Information Systems, 2013

Discovering Frequent Itemsets on Uncertain Data: A Systematic Review.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2013

Stochastic Aware Random Forests - A Variation Less Impacted by Randomness.
Proceedings of the Twenty-Sixth International Florida Artificial Intelligence Research Society Conference, 2013

2012
Automatic design of decision-tree induction algorithms tailored to flexible-receptor docking data.
BMC Bioinform., 2012

A Comparative Analysis of Public Ligand Databases Based on Molecular Descriptors.
Proceedings of the Advances in Bioinformatics and Computational Biology, 2012

Predicting software maintenance effort through evolutionary-based decision trees.
Proceedings of the ACM Symposium on Applied Computing, 2012

Healthcare Business Processes Risks Identification and Management - Approach for Medication Administration Processes Re-engineering.
Proceedings of the HEALTHINF 2012 - Proceedings of the International Conference on Health Informatics, Vilamoura, Algarve, Portugal, 1, 2012

2011
Mining flexible-receptor molecular docking data.
WIREs Data Mining Knowl. Discov., 2011

Evolutionary model trees for handling continuous classes in machine learning.
Inf. Sci., 2011

Conformance analysis on software development: an experience with process mining.
Int. J. Bus. Process. Integr. Manag., 2011

A Conceptual Many Tasks Computing Architecture to Execute Molecular Docking Simulations of a Fully-Flexible Receptor Model.
Proceedings of the Advances in Bioinformatics and Computational Biology, 2011

2010
SPDW+: a seamless approach for capturing quality metrics in software development environments.
Softw. Qual. J., 2010

Discretization of Flexible-Receptor Docking Data.
Proceedings of the Advances in Bioinformatics and Computational Biology, 2010

The impact of random samples in ensemble classifiers.
Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010

Evolutionary model tree induction.
Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010

Association Rules to Identify Receptor and Ligand Structures through Named Entities Recognition.
Proceedings of the Trends in Applied Intelligent Systems, 2010

2009
Lexicographic multi-objective evolutionary induction of decision trees.
Int. J. Bio Inspired Comput., 2009

FReDD: Supporting Mining Strategies through a Flexible-Receptor Docking Database.
Proceedings of the Advances in Bioinformatics and Computational Biology, 2009

Fuzzy-Provenance Architecture for Effort Metric Data Quality Assessment.
Proceedings of the 8th Brazilian Symposium on Software Quality, 2009

LEGAL-tree: a lexicographic multi-objective genetic algorithm for decision tree induction.
Proceedings of the 2009 ACM Symposium on Applied Computing (SAC), 2009

2008
FlowSpy: exploring Activity-Execution Patterns from Business Processes.
Braz. J. Inf. Syst., 2008

Extracting Information from Flexible Receptor-Flexible Ligand Docking Experiments.
Proceedings of the Advances in Bioinformatics and Computational Biology, 2008

Uma experiência em mineração de processos de manutenção de <i>software</i>.
Proceedings of the Companion Proceedings of the XIV Brazilian Symposium on Multimedia and the Web, 2008

A Quasi-experiment for Effort and Defect Estimation Using Least Square Linear Regression and Function Points.
Proceedings of the 32nd Annual IEEE Software Engineering Workshop, 2008

Issues on Estimating Software Metrics in a Large Software Operation.
Proceedings of the 32nd Annual IEEE Software Engineering Workshop, 2008

Processo de KDD para Auxílio à Reconfiguração de Ambientes Virtualizados.
Proceedings of the 4th Brazilian Symposium on Information Systems, 2008

Um Método para Suporte à Evolução de Métricas de PDS.
Proceedings of the 4th Brazilian Symposium on Information Systems, 2008

Evaluating Data Quality of Software Effort Metrics.
Proceedings of the 13th International Conference on Information Quality, 2008

2007
Automating Molecular Docking with Explicit Receptor Flexibility Using Scientific Workflows.
Proceedings of the Advances in Bioinformatics and Computational Biology, 2007

2006
SPDW: A Software Development Process Performance Data Warehousing Environment.
Proceedings of the 30th Annual IEEE / NASA Software Engineering Workshop (SEW-30 2006), 2006

2005
Uma Abordagem para a Descoberta de Conhecimento em Processos de Workflow em Oracle.
Proceedings of the 2nd Brazilian Symposium on Information Systems, 2005

Ontology-Based Filtering Mechanisms for Web Usage Patterns Retrieval.
Proceedings of the E-Commerce and Web Technologies: 6th International Conference, 2005

A Data Warehousing Environment to Monitor Metrics in Software Development Processes.
Proceedings of the 16th International Workshop on Database and Expert Systems Applications (DEXA 2005), 2005

A Workflow-based Environment to manage Software-Testing Process Executions.
Proceedings of the Computer Supported Activity Coordination, 2005

2004
A Systematic Approach to Flexible Specification, Composition, and Restructuring of Workflow Activities.
J. Database Manag., 2004

A Pre-Processing Tool for Web Usage Mining in the Distance Education Domain.
Proceedings of the 8th International Database Engineering and Applications Symposium (IDEAS 2004), 2004

An Aggregate-Aware Retargeting Algorithm for Multiple Fact Data Warehouses.
Proceedings of the Data Warehousing and Knowledge Discovery, 6th International Conference, 2004

2002
Extending UML Activity Diagram for Workflow Modeling in Production Systems.
Proceedings of the 35th Hawaii International Conference on System Sciences (HICSS-35 2002), 2002

MF-Retarget: Aggregate Awareness in Multiple Fact Table Schema Data Warehouses.
Proceedings of the Advances in Databases and Information Systems, 2002

2001
Towards an Approach to Model Business Processes using Workflow Modeling Techniques in Production Systems.
Proceedings of the 34th Annual Hawaii International Conference on System Sciences (HICSS-34), 2001

1989
Especificação de Sistemas de Informação de Escritórios: a metodologia T.A.& A.
Proceedings of the 3rd Brazilian Symposium on Software Engineering, 1989


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