Jo Plested

According to our database1, Jo Plested authored at least 27 papers between 2017 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2022
AMF: Adaptable Weighting Fusion with Multiple Fine-tuning for Image Classification.
CoRR, 2022

Deep transfer learning for image classification: a survey.
CoRR, 2022

Developing Imperceptible Adversarial Patches to Camouflage Military Assets From Computer Vision Enabled Technologies.
CoRR, 2022

FERM: A FEature-space Representation Measure for Improved Model Evaluation.
Proceedings of the Workshop on AI Evaluation Beyond Metrics co-located with the 31st International Joint Conference on Artificial Intelligence (IJCAI-ECAI 2022), 2022

2021
Feature Selection on Thermal-stress Dataset.
CoRR, 2021

Non-binary deep transfer learning for imageclassification.
CoRR, 2021

Exploring Biases and Prejudice of Facial Synthesis via Semantic Latent Space.
Proceedings of the International Joint Conference on Neural Networks, 2021

Rethinking Binary Hyperparameters for Deep Transfer Learning.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

2020
Information-preserving feature filter for short-term EEG signals.
Neurocomputing, 2020

Exploring the Correlation Between Random Convolutional Architectures and the Trained Equivalent.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

MultiTune: Adaptive Integration of Multiple Fine-Tuning Models for Image Classification.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Pairwise-GAN: Pose-Based View Synthesis Through Pair-Wise Training.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Declarative Residual Network for Robust Facial Expression Recognition.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

2019
Classification of Human?s Perception of Manipulated and Unmanipulated Digital Images Using Neural Network with Network Reduction Techniques.
Aust. J. Intell. Inf. Process. Syst., 2019

GAN-SMOTE: A Generative Adversarial Network approach to Synthetic Minority Oversampling.
Aust. J. Intell. Inf. Process. Syst., 2019

Structure simplification of neural network for smile classification.
Aust. J. Intell. Inf. Process. Syst., 2019

Training Stage Optimisation for Neural Network Operating in the Resource Constrained Environment.
Aust. J. Intell. Inf. Process. Syst., 2019

Improved Techniques for Building EEG Feature Filters.
Proceedings of the International Joint Conference on Neural Networks, 2019

Generalized Alignment for Multimodal Physiological Signal Learning.
Proceedings of the International Joint Conference on Neural Networks, 2019

Using an Evolutionary Algorithm to Optimize the Hyper-parameters of a Cascading Neural Network.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

An Analysis of the Interaction Between Transfer Learning Protocols in Deep Neural Networks.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

Using Evolutionary Algorithms for Hyperparameter Tuning and Network Reduction Techniques to Classify Core Porosity Classes Based on Petrographical Descriptions.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

Pruning Convolutional Neural Network with Distinctiveness Approach.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

Evaluation on Neural Network Models for Video-Based Stress Recognition.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

2018
A Feature Filter for EEG Using Cycle-GAN Structure.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Deep Feature Learning and Visualization for EEG Recording Using Autoencoders.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017
Detection of universal cross-cultural depression indicators from the physiological signals of observers.
Proceedings of the Seventh International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, 2017


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