Andri Ashfahani

Orcid: 0000-0002-7126-4412

According to our database1, Andri Ashfahani authored at least 22 papers between 2018 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Unsupervised Continual Learning in Streaming Environments.
IEEE Trans. Neural Networks Learn. Syst., December, 2023

Autonomous Cross Domain Adaptation Under Extreme Label Scarcity.
IEEE Trans. Neural Networks Learn. Syst., October, 2023

2022
Autonomous CNN (AutoCNN): A data-driven approach to network architecture determination.
Inf. Sci., 2022

How to train your draGAN: A task oriented solution to imbalanced classification.
CoRR, 2022

2021
Autonomous deep learning for continual learning in complex data stream environment
PhD thesis, 2021

Online Semisupervised Learning Approach for Quality Monitoring of Complex Manufacturing Process.
Complex., 2021

Unsupervised Continual Learning via Self-adaptive Deep Clustering Approach.
Proceedings of the Continual Semi-Supervised Learning - First International Workshop, 2021

Autonomous Deep Quality Monitoring in Streaming Environments.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
DEVDAN: Deep evolving denoising autoencoder.
Neurocomputing, 2020

Scalable Teacher-Forcing Networks under Spark Environments for Large-Scale Streaming Problems.
Proceedings of the 2020 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2020

2019
Autonomous Deep Learning: Continual Learning Approach for Dynamic Environments.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

FERNN: A Fast and Evolving Recurrent Neural Network Model for Streaming Data Classification.
Proceedings of the International Joint Conference on Neural Networks, 2019

Wireless Indoor Positioning Using Online Machine Learning.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Autonomous Deep Learning: Incremental Learning of Deep Neural Networks for Evolving Data Streams.
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

Deep Network Optimization for rs-fMRI Classification.
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

Automatic Construction of Multi-layer Perceptron Network from Streaming Examples.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Weakly Supervised Deep Learning Approach in Streaming Environments.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
Autonomous Deep Learning: Incremental Learning of Denoising Autoencoder for Evolving Data Streams.
CoRR, 2018

An Online RFID Localization in the Manufacturing Shopfloor.
CoRR, 2018

Big Data Analytic Based on Scalable PANFIS for RFID Localization.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Similarity Measures in Development of an Indoor Localization System.
Proceedings of the 15th International Conference on Control, 2018

The Study on Indoor Localization for Manufacturing Execution System.
Proceedings of the 15th International Conference on Control, 2018


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