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Andri Ashfahani
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2020 – today
- 2023
- [j5]Weiwei Weng, Mahardhika Pratama, Choiru Za'in, Marcus de Carvalho, Appan Rakaraddi, Andri Ashfahani, Edward Kien Yee Yapp:
Autonomous Cross Domain Adaptation Under Extreme Label Scarcity. IEEE Trans. Neural Networks Learn. Syst. 34(10): 6839-6850 (2023) - [j4]Andri Ashfahani, Mahardhika Pratama:
Unsupervised Continual Learning in Streaming Environments. IEEE Trans. Neural Networks Learn. Syst. 34(12): 9992-10003 (2023) - 2022
- [j3]Abhay M. S. Aradhya, Andri Ashfahani, Fienny Angelina, Mahardhika Pratama, Rodrigo Fernandes de Mello, Suresh Sundaram:
Autonomous CNN (AutoCNN): A data-driven approach to network architecture determination. Inf. Sci. 607: 638-653 (2022) - [i12]Weiwei Weng, Mahardhika Pratama, Choiru Za'in, Marcus de Carvalho, Appan Rakaraddi, Andri Ashfahani, Edward Kien Yee Yapp:
Autonomous Cross Domain Adaptation under Extreme Label Scarcity. CoRR abs/2209.01548 (2022) - [i11]Leon O. Guertler, Andri Ashfahani, Anh Tuan Luu:
How to train your draGAN: A task oriented solution to imbalanced classification. CoRR abs/2211.10065 (2022) - 2021
- [b1]Andri Ashfahani:
Autonomous deep learning for continual learning in complex data stream environment. Nanyang Technological University, Singapore, 2021 - [j2]Weiwei Weng, Mahardhika Pratama, Andri Ashfahani, Edward Kien Yee Yapp:
Online Semisupervised Learning Approach for Quality Monitoring of Complex Manufacturing Process. Complex. 2021: 3005276:1-3005276:16 (2021) - [c13]Andri Ashfahani, Mahardhika Pratama, Edwin Lughofer, Edward Kien Yee Yapp:
Autonomous Deep Quality Monitoring in Streaming Environments. IJCNN 2021: 1-8 - [c12]Mahardhika Pratama, Andri Ashfahani, Edwin Lughofer:
Unsupervised Continual Learning via Self-adaptive Deep Clustering Approach. CSSL 2021: 48-61 - [i10]Andri Ashfahani, Mahardhika Pratama, Edwin Lughofer, Edward Kien Yee Yapp:
Autonomous Deep Quality Monitoring in Streaming Environments. CoRR abs/2106.13955 (2021) - [i9]Mahardhika Pratama, Andri Ashfahani, Edwin Lughofer:
Unsupervised Continual Learning via Self-Adaptive Deep Clustering Approach. CoRR abs/2106.14563 (2021) - [i8]Andri Ashfahani, Mahardhika Pratama:
Unsupervised Continual Learning in Streaming Environments. CoRR abs/2109.09282 (2021) - 2020
- [j1]Andri Ashfahani, Mahardhika Pratama, Edwin Lughofer, Yew-Soon Ong:
DEVDAN: Deep evolving denoising autoencoder. Neurocomputing 390: 297-314 (2020) - [c11]Choiru Za'in, Andri Ashfahani, Mahardhika Pratama, Edwin Lughofer, Eric Pardede:
Scalable Teacher-Forcing Networks under Spark Environments for Large-Scale Streaming Problems. EAIS 2020: 1-8
2010 – 2019
- 2019
- [c10]Mahardhika Pratama, Andri Ashfahani, Mohamad Abdul Hady:
Weakly Supervised Deep Learning Approach in Streaming Environments. IEEE BigData 2019: 1195-1202 - [c9]Mahardhika Pratama, Choiru Za'in, Andri Ashfahani, Yew-Soon Ong, Weiping Ding:
Automatic Construction of Multi-layer Perceptron Network from Streaming Examples. CIKM 2019: 1171-1180 - [c8]Abhay M. S. Aradhya, Andri Ashfahani:
Deep Network Optimization for rs-fMRI Classification. ICDM Workshops 2019: 77-82 - [c7]Andri Ashfahani:
Autonomous Deep Learning: Incremental Learning of Deep Neural Networks for Evolving Data Streams. ICDM Workshops 2019: 83-90 - [c6]Sheng Huang, Andri Ashfahani, Mahardhika Pratama:
Wireless Indoor Positioning Using Online Machine Learning. ICMLA 2019: 1885-1890 - [c5]Monidipa Das, Mahardhika Pratama, Andri Ashfahani, Subhrajit Samanta:
FERNN: A Fast and Evolving Recurrent Neural Network Model for Streaming Data Classification. IJCNN 2019: 1-8 - [c4]Andri Ashfahani, Mahardhika Pratama:
Autonomous Deep Learning: Continual Learning Approach for Dynamic Environments. SDM 2019: 666-674 - [i7]Mahardhika Pratama, Choiru Za'in, Andri Ashfahani, Yew-Soon Ong, Weiping Ding:
Automatic Construction of Multi-layer Perceptron Network from Streaming Examples. CoRR abs/1910.03437 (2019) - [i6]Andri Ashfahani, Mahardhika Pratama, Edwin Lughofer, Yew-Soon Ong:
DEVDAN: Deep Evolving Denoising Autoencoder. CoRR abs/1910.04062 (2019) - [i5]Mahardhika Pratama, Andri Ashfahani, Mohamad Abdul Hady:
Weakly Supervised Deep Learning Approach in Streaming Environments. CoRR abs/1911.00847 (2019) - 2018
- [c3]Sheng Huang, Syed Shoaib, Andri Ashfahani, Mahardhika Pratama:
Similarity Measures in Development of an Indoor Localization System. ICARCV 2018: 1420-1425 - [c2]Sheng Huang, Sudeep Mohanty, Andri Ashfahani, Mahardhika Pratama:
The Study on Indoor Localization for Manufacturing Execution System. ICARCV 2018: 1863-1867 - [c1]Choiru Za'in, Mahardhika Pratama, Andri Ashfahani, Eric Pardede, Sheng Huang:
Big Data Analytic Based on Scalable PANFIS for RFID Localization. SMC 2018: 1687-1692 - [i4]Choiru Za'in, Mahardhika Pratama, Andri Ashfahani, Eric Pardede, Sheng Huang:
Big Data Analytic based on Scalable PANFIS for RFID Localization. CoRR abs/1804.10166 (2018) - [i3]Andri Ashfahani, Mahardhika Pratama, Edwin Lughofer, Qing Cai, Sheng Huang:
An Online RFID Localization in the Manufacturing Shopfloor. CoRR abs/1805.07715 (2018) - [i2]Mahardhika Pratama, Andri Ashfahani, Yew-Soon Ong, Savitha Ramasamy, Edwin Lughofer:
Autonomous Deep Learning: Incremental Learning of Denoising Autoencoder for Evolving Data Streams. CoRR abs/1809.09081 (2018) - [i1]Andri Ashfahani, Mahardhika Pratama:
Autonomous Deep Learning: Continual Learning Approach for Dynamic Environments. CoRR abs/1810.07348 (2018)
Coauthor Index
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