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Research Output 2004 2019

  • 50 Citations
  • 5 h-Index
  • 37 Conference contribution
  • 14 Article
  • 2 Chapter
  • 1 Commissioned report
2019
1 Citation (Scopus)
Open Access
Pixels
Neural networks
Classifiers
Feedback

Connection-Aware Spectrum-Diversity for Neuroevolution

VARGAS, D. V. & INOUE, Y., 2019, \人\工\知\能\学\会\全\国\大\会\論\文\集 \一\般\社\団\法\人 \人\工\知\能\学\会. p. 4L3J801-4L3J801

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Towards solving neural networks with optimization trajectory search

Parsenadze, L. T., Vargas, D. V. & Fujita, T., Jul 13 2019, GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion. Association for Computing Machinery, Inc, p. 75-76 2 p. (GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Petroleum reservoir evaluation
Trajectory Optimization
Trajectories
Subspace
Neural Networks

Universal Rules for Fooling Deep Neural Networks based Text Classification

Li, D., Vargas, D. V. & Sakurai, K., Jun 1 2019, 2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 2221-2228 8 p. 8790213. (2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Natural language processing systems
Text processing
Text Processing
Text Classification
Evolutionary algorithms
2018

A new design for evaluating moving target defense system

Oo, W. K. K., Koide, H., Vargas, D. V. & Sakurai, K., Dec 26 2018, Proceedings - 2018 6th International Symposium on Computing and Networking Workshops, CANDARW 2018. Institute of Electrical and Electronics Engineers Inc., p. 561-563 3 p. 8590965. (Proceedings - 2018 6th International Symposium on Computing and Networking Workshops, CANDARW 2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Moving Target
Information systems
Servers
Attack
Evaluation Method

A New Design for Evaluating Moving Target Defense System

Oo, W. K. K., Koide, H., Vargas, D. V. & Sakurai, K., 2018, 2018 Sixth International Symposium on Computing and Networking Workshops (CANDARW). p. 561-563 3 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Effectively Protect Your Privacy: Enabling Flexible Privacy Control on Web Tracking

Yu, S., Vargas, D. V. & Sakurai, K., Apr 23 2018, Proceedings - 2017 5th International Symposium on Computing and Networking, CANDAR 2017. Institute of Electrical and Electronics Engineers Inc., p. 533-536 4 p. (Proceedings - 2017 5th International Symposium on Computing and Networking, CANDAR 2017; vol. 2018-January).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Websites
Blood
Internet

Empirical evaluation on robustness of deep convolutional neural networks activation functions against adversarial perturbation

Su, J., Vargas, D. V. & Sakurai, K., Dec 26 2018, Proceedings - 2018 6th International Symposium on Computing and Networking Workshops, CANDARW 2018. Institute of Electrical and Electronics Engineers Inc., p. 223-227 5 p. 8590903. (Proceedings - 2018 6th International Symposium on Computing and Networking Workshops, CANDARW 2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Activation Function
Chemical activation
Neural Networks
Robustness
Neural networks

Empirical Evaluation on Robustness of Deep Convolutional Neural Networks Activation Functions Against Adversarial Perturbation

Su, J., Vargas, D. V. & Sakurai, K., 2018, 2018 Sixth International Symposium on Computing and Networking Workshops (CANDARW). p. 223-227 5 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Evolutionary reinforcement learning: general models and adaptation.

Vargas, D. V., 2018, GECCO (Companion). p. 1017-1038 22 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Introducing learning classifier systems: Rules that capture complexity

Urbanowicz, R. J. & Vargas, D. V., Jul 6 2018, GECCO 2018 Companion - Proceedings of the 2018 Genetic and Evolutionary Computation Conference Companion. Association for Computing Machinery, Inc, p. 619-648 30 p. (GECCO 2018 Companion - Proceedings of the 2018 Genetic and Evolutionary Computation Conference Companion).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Learning Classifier Systems
Classifiers

Introducing learning classifier systems: rules that capture complexity

Urbanowicz, R. J. & Vargas, D. V., 2018, Proceedings of the Genetic and Evolutionary Computation Conference Companion. p. 619-648 30 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Lightweight Classification of IoT Malware Based on Image Recognition

Su, J., Vargas, D. V., Prasad, S., Daniele, S., Feng, Y. & Sakurai, K., Jun 8 2018, Proceedings - 2018 IEEE 42nd Annual Computer Software and Applications Conference, COMPSAC 2018. Demartini, C., Reisman, S., Liu, L., Tovar, E., Takakura, H., Yang, J-J., Lung, C-H., Ahamed, S. I., Hasan, K., Conte, T., Nakamura, M., Zhang, Z., Akiyama, T., Claycomb, W. & Cimato, S. (eds.). IEEE Computer Society, p. 664-669 6 p. 8377943. (Proceedings - International Computer Software and Applications Conference; vol. 2).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Image recognition
Internet
Domestic appliances
Cameras
Internet of things

Neural cryptography based on the topology evolving neural networks

Zhu, Y., Vargas, D. V. & Sakurai, K., Dec 26 2018, Proceedings - 2018 6th International Symposium on Computing and Networking Workshops, CANDARW 2018. Institute of Electrical and Electronics Engineers Inc., p. 472-478 7 p. 8590945. (Proceedings - 2018 6th International Symposium on Computing and Networking Workshops, CANDARW 2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Cryptography
Topology
Neuroevolution
Neural Networks
Neural networks

Neural Cryptography Based on the Topology Evolving Neural Networks

Zhu, Y., Vargas, D. V. & Sakurai, K., 2018, 2018 Sixth International Symposium on Computing and Networking Workshops (CANDARW). p. 472-478 7 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Tracing MIRAI malware in networked system

Xu, Y., Koide, H., Vargas, D. V. & Sakurai, K., Dec 26 2018, Proceedings - 2018 6th International Symposium on Computing and Networking Workshops, CANDARW 2018. Institute of Electrical and Electronics Engineers Inc., p. 534-538 5 p. 8590958. (Proceedings - 2018 6th International Symposium on Computing and Networking Workshops, CANDARW 2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Internet of Things
Malware
Tracing
Attack
Denial of Service

Tracing MIRAI Malware in Networked System

Xu, Y., Koide, H., Vargas, D. V. & Sakurai, K., 2018, 2018 Sixth International Symposium on Computing and Networking Workshops (CANDARW). p. 534-538 5 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Effectively Protect Your Privacy: Enabling Flexible Privacy Control on Web Tracking

Yu, S., Vargas, D. V. & Sakurai, K., 2017, 2017 Fifth International Symposium on Computing and Networking (CANDAR). p. 533-536 4 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Evasion attacks against statistical code obfuscation detectors

Su, J., Vargas, D. V. & Sakurai, K., Jan 1 2017, Advances in Information and Computer Security - 12th International Workshop on Security, IWSEC 2017, Proceedings. Obana, S. & Chida, K. (eds.). Springer Verlag, p. 121-137 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10418 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Obfuscation
Detector
Attack
Detectors
JavaScript
10 Citations (Scopus)

Spectrum-diverse neuroevolution with unified neural models

Vargas, D. V. & Murata, J., Aug 1 2017, In : IEEE Transactions on Neural Networks and Learning Systems. 28, 8, p. 1759-1773 15 p., 7460958.

Research output: Contribution to journalArticle

Chromosomes
Neurons
Ablation
Learning algorithms
Scalability
2016

Curious: Searching for unknown regions of space with a subpopulation-based algorithm

Vargas, D. V. & Murata, J., Jul 20 2016, GECCO 2016 Companion - Proceedings of the 2016 Genetic and Evolutionary Computation Conference. Association for Computing Machinery, Inc, p. 145-146 2 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Mathematical operators
Genes

Curious: Searching for Unknown Regions of Space with a Subpopulation-based Algorithm

Vargas, D. V. & Murata, J., 2016, Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion. p. 145-146 2 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Spectrum-diverse neuroevolution with unified neural models

Vargas, D. V. & Murata, J., 2016, In : IEEE Transactions on Neural Networks and Learning Systems. 28, 8, p. 1759-1773 15 p.

Research output: Contribution to journalArticle

2015
5 Citations (Scopus)

General subpopulation framework and taming the conflict inside populations

Vargas, D. V., Murata, J., Takano, H. & Delbem, A. C. B., Mar 16 2015, In : Evolutionary Computation. 23, 1, p. 1-36 36 p.

Research output: Contribution to journalArticle

Evolutionary Algorithms
Evolutionary algorithms
Island Model
Predator-prey
Conflict

General subpopulation framework and taming the conflict inside populations

Vargas, D. V., Murata, J., Takano, H. & Delbem, A. C. B., 2015, In : Evolutionary Computation. 23, 1, p. 1-36 36 p.

Research output: Contribution to journalArticle

Novelty-organizing team of classifiers in noisy and dynamic environments

Vargas, D. V., Takano, H. & Murata, J., 2015, 2015 IEEE Congress on Evolutionary Computation (CEC). p. 2937-2944 8 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Novelty-Organizing Team of Classifiers in noisy and dynamic environments

Vargas, D. V., Takano, H. & Murata, J., Sep 10 2015, 2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 2937-2944 8 p. 7257254. (2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Dynamic Environment
Classifiers
Classifier
Neuroevolution
Railroad cars

The relationship between (Un)fractured problems and division of input space

Vargas, D. V., Takano, H. & Murata, J., Jul 11 2015, GECCO 2015 - Companion Publication of the 2015 Genetic and Evolutionary Computation Conference. Association for Computing Machinery, Inc, p. 981-987 7 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Learning algorithms
Division
Learning Algorithm
Relationships

The Relationship Between (Un) Fractured Problems and Division of Input Space

Vargas, D. V., Takano, H. & Murata, J., 2015, Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation. p. 981-987 7 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2014
1 Citation (Scopus)

Novelty-Organizing Classifiers applied to classification and reinforcement learning: Towards flexible algorithms

Vargas, D. V., Takano, H. & Murata, J., 2014, GECCO 2014 - Companion Publication of the 2014 Genetic and Evolutionary Computation Conference. Association for Computing Machinery, p. 81-82 2 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Supervised learning
Reinforcement learning
Reinforcement Learning
Supervised Learning
Classifiers

Novelty-organizing classifiers applied to classification and reinforcement learning: towards flexible algorithms

Vargas, D. V., Takano, H. & Murata, J., 2014, Proceedings of the Companion Publication of the 2014 Annual Conference on Genetic and Evolutionary Computation. p. 81-82 2 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Novelty-organizing team of classifiers - A team-individual multi-objective approach to reinforcement learning

Vargas, D. V., Takano, H. & Murata, J., Oct 23 2014, Proceedings of the SICE Annual Conference. Society of Instrument and Control Engineers (SICE), p. 1785-1792 8 p. 6935299. (Proceedings of the SICE Annual Conference).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Reinforcement learning
Classifiers
Self organizing maps
Learning algorithms

Novelty-organizing team of classifiers-a team-individual multi-objective approach to reinforcement learning

Vargas, D. V., Takano, H. & Murata, J., 2014, 2014 Proceedings of the SICE Annual Conference (SICE). p. 1785-1792 8 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Phylogenetic differential evolution

de Melo, V. V., Vargas, D. V. & Crocomo, M. K., 2014, Natural Computing for Simulation and Knowledge Discovery. IGI Global, p. 22-40 19 p.

Research output: Chapter in Book/Report/Conference proceedingChapter

2013

A study on the importance of selection pressure and low dimensional weak learners to produce robust ensembles

Vargas, D. V., Takano, H. & Murata, J., 2013, GECCO 2013 - Proceedings of the 2013 Genetic and Evolutionary Computation Conference Companion. p. 1755-1756 2 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ensemble
Classifiers
Experiments
Classifier
Subspace Methods

A study on the importance of selection pressure and low dimensional weak learners to produce robust ensembles

Vargas, D. V., Takano, H. & Murata, J., 2013, Proceedings of the 15th annual conference companion on Genetic and evolutionary computation. p. 1755-1756 2 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Contingency training

Vargas, D. V., Takano, H. & Murata, J., 2013, SICE 2013: International Conference on Instrumentation, Control, Information Technology and System Integration - SICE Annual Conference 2013, Conference Proceedings. p. 1361-1366 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Feature extraction
Classifiers
Neural networks
Experiments

Continuous adaptive reinforcement learning with the evolution of self organizing classifiers

Vargas, D. V., Takano, H. & Murata, J., 2013, 2013 IEEE Third Joint International Conference on Development and Learning and Epigenetic Robotics (ICDL). p. 1-2 2 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Continuous adaptive reinforcement learning with the evolution of Self Organizing Classifiers

Vargas, D. V., Takano, H. & Murata, J., 2013, 2013 IEEE 3rd Joint International Conference on Development and Learning and Epigenetic Robotics, ICDL 2013 - Electronic Conference Proceedings. 6652558

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Reinforcement learning
Classifiers
1 Citation (Scopus)

Phylogenetic Differential Evolution

de Melo, V. V., Vargas, D. V. & Crocomo, M. K., Jul 31 2013, Natural Computing for Simulation and Knowledge Discovery. IGI Global, p. 22-40 19 p.

Research output: Chapter in Book/Report/Conference proceedingChapter

Large scale systems
Genetic algorithms
6 Citations (Scopus)

Self organizing classifiers: First steps in structured evolutionary machine learning

Vargas, D. V., Takano, H. & Murata, J., Nov 1 2013, In : Evolutionary Intelligence. 6, 2, p. 57-72 16 p.

Research output: Contribution to journalArticle

Evolutionary Learning
Self-organizing
Learning systems
Learning Classifier Systems
Machine Learning

Self organizing classifiers and niched fitness

Vargas, D. V., Takano, H. & Murata, J., 2013, Proceedings of the 15th annual conference on Genetic and evolutionary computation. p. 1109-1116 8 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

Self organizing classifiers and niched fitness

Vargas, D. V., Takano, H. & Murata, J., Sep 2 2013, GECCO 2013 - Proceedings of the 2013 Genetic and Evolutionary Computation Conference. p. 1109-1116 8 p. (GECCO 2013 - Proceedings of the 2013 Genetic and Evolutionary Computation Conference).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Self-organizing
Fitness
Classifiers
Classifier
Pressure
2011
5 Citations (Scopus)

Multi-objective phylogenetic algorithm: Solving multi-objective decomposable deceptive problems

Martins, J. P., Soares, A. H. M., Vargas, D. V. & Delbem, A. C. B., Apr 14 2011, Evolutionary Multi-Criterion Optimization - 6th International Conference, EMO 2011, Proceedings. p. 285-297 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6576 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Phylogenetics
Decomposable
Phylogenetic Tree
Multi-objective Evolutionary Algorithm
Probabilistic Model