research
∙
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...
share
research
∙
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...
research
∙
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...
research
∙
06/10/2021
Deep neural network loses attention to adversarial images
Adversarial algorithms have shown to be effective against neural network...
research
∙
09/02/2020
Perceptual Deep Neural Networks: Adversarial Robustness through Input Recreation
Adversarial examples have shown that albeit highly accurate, models lear...
research
∙
06/14/2020
Continual General Chunking Problem and SyncMap
Humans possess an inherent ability to chunk sequences into their constit...
research
∙
06/27/2019
Evolving Robust Neural Architectures to Defend from Adversarial Attacks
Deep neural networks were shown to misclassify slightly modified input i...
research
∙
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...
research
∙
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...
research
∙
04/26/2019
Self Training Autonomous Driving Agent
Intrinsically, driving is a Markov Decision Process which suits well the...
research
∙
04/18/2019
Batch Tournament Selection for Genetic Programming
Lexicase selection achieves very good solution quality by introducing or...
research
∙
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...
research
∙
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...
research
∙
01/22/2019
Universal Rules for Fooling Deep Neural Networks based Text Classification
Recently, deep learning based natural language processing techniques are...
research
∙
01/06/2019
Spectrum-Diverse Neuroevolution with Unified Neural Models
Learning algorithms are being increasingly adopted in various applicatio...
research
∙
01/02/2019
General Subpopulation Framework and Taming the Conflict Inside Populations
Structured evolutionary algorithms have been investigated for some time....
research
∙
11/20/2018
Self Organizing Classifiers and Niched Fitness
Learning classifier systems are adaptive learning systems which have bee...
research
∙
11/20/2018
Self Organizing Classifiers: First Steps in Structured Evolutionary Machine Learning
Learning classifier systems (LCSs) are evolutionary machine learning alg...
research
∙
11/20/2018
Contingency Training
When applied to high-dimensional datasets, feature selection algorithms ...
research
∙
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...
research
∙
04/19/2018
Attacking Convolutional Neural Network using Differential Evolution
The output of Convolutional Neural Networks (CNN) has been shown to be d...
research
∙
02/11/2018
Lightweight Classification of IoT Malware based on Image Recognition
The Internet of Things (IoT) is an extension of the traditional Internet...
research
∙
10/24/2017
