Danilo Vasconcellos Vargas | DeepAI

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Heng Zhang
32 publications
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∙ 07/27/2023

A Survey on Reservoir Computing and its Interdisciplinary Applications Beyond Traditional Machine Learning

Reservoir computing (RC), first applied to temporal signal processing, i...

0 Heng Zhang, et al. ∙

∙ 06/19/2023

Generating Oscillation Activity with Echo State Network to Mimic the Behavior of a Simple Central Pattern Generator

This paper presents a method for reproducing a simple central pattern ge...

0 Tham Yik Foong, et al. ∙

∙ 02/04/2023

Dynamical Equations With Bottom-up Self-Organizing Properties Learn Accurate Dynamical Hierarchies Without Any Loss Function

Self-organization is ubiquitous in nature and mind. However, machine lea...

0 Danilo Vasconcellos Vargas, et al. ∙

∙ 06/10/2021

Deep neural network loses attention to adversarial images

Adversarial algorithms have shown to be effective against neural network...

36 Shashank Kotyan, et al. ∙

∙ 09/02/2020

Perceptual Deep Neural Networks: Adversarial Robustness through Input Recreation

Adversarial examples have shown that albeit highly accurate, models lear...

11 Danilo Vasconcellos Vargas, et al. ∙

∙ 06/14/2020

Continual General Chunking Problem and SyncMap

Humans possess an inherent ability to chunk sequences into their constit...

0 Danilo Vasconcellos Vargas, et al. ∙

∙ 06/27/2019

Evolving Robust Neural Architectures to Defend from Adversarial Attacks

Deep neural networks were shown to misclassify slightly modified input i...

8 Danilo Vasconcellos Vargas, et al. ∙

∙ 06/15/2019

Uncovering Why Deep Neural Networks Lack Robustness: Representation Metrics that Link to Adversarial Attacks

Neural networks have been shown vulnerable to adversarial samples. Sligh...

0 Danilo Vasconcellos Vargas, et al. ∙

∙ 06/14/2019

Model Agnostic Dual Quality Assessment for Adversarial Machine Learning and an Analysis of Current Neural Networks and Defenses

In adversarial machine learning, there are a huge number of attacks of v...

2 Danilo Vasconcellos Vargas, et al. ∙

∙ 04/26/2019

Self Training Autonomous Driving Agent

Intrinsically, driving is a Markov Decision Process which suits well the...

0 Shashank Kotyan, et al. ∙

∙ 04/18/2019

Batch Tournament Selection for Genetic Programming

Lexicase selection achieves very good solution quality by introducing or...

0 Vinicius V. Melo, et al. ∙

∙ 03/06/2019

Tackling Unit Commitment and Load Dispatch Problems Considering All Constraints with Evolutionary Computation

Unit commitment and load dispatch problems are important and complex pro...

0 Danilo Vasconcellos Vargas, et al. ∙

∙ 02/08/2019

Understanding the One-Pixel Attack: Propagation Maps and Locality Analysis

Deep neural networks were shown to be vulnerable to single pixel modific...

12 Danilo Vasconcellos Vargas, et al. ∙

∙ 01/22/2019

Universal Rules for Fooling Deep Neural Networks based Text Classification

Recently, deep learning based natural language processing techniques are...

0 Di Li, et al. ∙

∙ 01/06/2019

Spectrum-Diverse Neuroevolution with Unified Neural Models

Learning algorithms are being increasingly adopted in various applicatio...

0 Danilo Vasconcellos Vargas, et al. ∙

∙ 01/02/2019

General Subpopulation Framework and Taming the Conflict Inside Populations

Structured evolutionary algorithms have been investigated for some time....

0 Danilo Vasconcellos Vargas, et al. ∙

∙ 11/20/2018

Self Organizing Classifiers and Niched Fitness

Learning classifier systems are adaptive learning systems which have bee...

0 Danilo Vasconcellos Vargas, et al. ∙

∙ 11/20/2018

Self Organizing Classifiers: First Steps in Structured Evolutionary Machine Learning

Learning classifier systems (LCSs) are evolutionary machine learning alg...

6 Danilo Vasconcellos Vargas, et al. ∙

∙ 11/20/2018

Contingency Training

When applied to high-dimensional datasets, feature selection algorithms ...

0 Danilo Vasconcellos Vargas, et al. ∙

∙ 09/19/2018

Novelty-organizing team of classifiers in noisy and dynamic environments

In the real world, the environment is constantly changing with the input...

0 Danilo Vasconcellos Vargas, et al. ∙

∙ 04/19/2018

Attacking Convolutional Neural Network using Differential Evolution

The output of Convolutional Neural Networks (CNN) has been shown to be d...

0 Jiawei Su, et al. ∙

∙ 02/11/2018

Lightweight Classification of IoT Malware based on Image Recognition

The Internet of Things (IoT) is an extension of the traditional Internet...

0 Jiawei Su, et al. ∙

∙ 10/24/2017

One pixel attack for fooling deep neural networks

Recent research has revealed that the output of Deep Neural Networks (DN...

0 Jiawei Su, et al. ∙

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