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05/11/2023
Backpropagation-Free 4D Continuous Ant-Based Neural Topology Search
Continuous Ant-based Topology Search (CANTS) is a previously introduced ...
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03/07/2023
Predicted Embedding Power Regression for Large-Scale Out-of-Distribution Detection
Out-of-distribution (OOD) inputs can compromise the performance and safe...
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02/20/2023
Online Evolutionary Neural Architecture Search for Multivariate Non-Stationary Time Series Forecasting
Time series forecasting (TSF) is one of the most important tasks in data...
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10/13/2022
A Large-Scale Annotated Multivariate Time Series Aviation Maintenance Dataset from the NGAFID
This paper presents the largest publicly available, non-simulated, fleet...
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04/21/2022
Addressing Tactic Volatility in Self-Adaptive Systems Using Evolved Recurrent Neural Networks and Uncertainty Reduction Tactics
Self-adaptive systems frequently use tactics to perform adaptations. Tac...
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02/27/2022
ONE-NAS: An Online NeuroEvolution based Neural Architecture Search for Time Series Forecasting
Time series forecasting (TSF) is one of the most important tasks in data...
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01/27/2022
Robust Augmentation for Multivariate Time Series Classification
Neural networks are capable of learning powerful representations of data...
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12/09/2021
Reducing Catastrophic Forgetting in Self Organizing Maps with Internally-Induced Generative Replay
A lifelong learning agent is able to continually learn from potentially ...
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10/07/2021
Predictive Maintenance for General Aviation Using Convolutional Transformers
Predictive maintenance systems have the potential to significantly reduc...
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11/21/2020
Continuous Ant-Based Neural Topology Search
This work introduces a novel, nature-inspired neural architecture search...
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09/21/2020
An Experimental Study of Weight Initialization and Weight Inheritance Effects on Neuroevolution
Weight initialization is critical in being able to successfully train ar...
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06/04/2020
Neuroevolutionary Transfer Learning of Deep Recurrent Neural Networks through Network-Aware Adaptation
Transfer learning entails taking an artificial neural network (ANN) that...
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05/25/2020
MaintNet: A Collaborative Open-Source Library for Predictive Maintenance Language Resources
Maintenance record logbooks are an emerging text type in NLP. They typic...
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05/15/2020
Improving Neuroevolution Using Island Extinction and Repopulation
Neuroevolution commonly uses speciation strategies to better explore the...
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04/23/2020
Improving the Decision-Making Process of Self-Adaptive Systems by Accounting for Tactic Volatility
When self-adaptive systems encounter changes within their surrounding en...
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02/06/2019
Investigating Recurrent Neural Network Memory Structures using Neuro-Evolution
This paper presents a new algorithm, Evolutionary eXploration of Augment...
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02/06/2019
Investigating RNN Memory using Neuro-Evolution: Investigating Recurrent Neural Network Memory Structures using Neuro-Evolution
This paper presents a new algorithm, Evolutionary eXploration of Augment...
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11/17/2018
Accelerating the Evolution of Convolutional Neural Networks with Node-Level Mutations and Epigenetic Weight Initialization
This paper examines three generic strategies for improving the performan...
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10/10/2017
Optimizing Long Short-Term Memory Recurrent Neural Networks Using Ant Colony Optimization to Predict Turbine Engine Vibration
This article expands on research that has been done to develop a recurre...
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03/15/2017