The Study on Indoor Localization for Manufacturing Execution System. - Sheng Huang 006; Sudeep Mohanty; Andri Ashfahani; Mahardhika Pratama (ICARCV, 2018)

Similarity Measures in Development of an Indoor Localization System. - Sheng Huang 006; Syed Shoaib; Andri Ashfahani; Mahardhika Pratama (ICARCV, 2018)

Big Data Analytic Based on Scalable PANFIS for RFID Localization. - Choiru Za'in; Mahardhika Pratama; Andri Ashfahani; Eric Pardede; Sheng Huang 006 (SMC, 2018)

An Online RFID Localization in the Manufacturing Shopfloor. - Andri Ashfahani; Mahardhika Pratama; Edwin Lughofer; Qing Cai; Sheng Huang 006 (CoRR, 2018)

Autonomous Deep Learning: Incremental Learning of Denoising Autoencoder for Evolving Data Streams. - Mahardhika Pratama; Andri Ashfahani; Yew-Soon Ong; Savitha Ramasamy; Edwin Lughofer (CoRR, 2018)

Weakly Supervised Deep Learning Approach in Streaming Environments. - Mahardhika Pratama; Andri Ashfahani; Mohamad Abdul Hady (IEEE BigData, 2019)

Automatic Construction of Multi-layer Perceptron Network from Streaming Examples. - Mahardhika Pratama; Choiru Za'in; Andri Ashfahani; Yew-Soon Ong; Weiping Ding 001 (CIKM, 2019)

Deep Network Optimization for rs-fMRI Classification. - Abhay M. S. Aradhya; Andri Ashfahani (ICDM Workshops, 2019)

Autonomous Deep Learning: Incremental Learning of Deep Neural Networks for Evolving Data Streams. - Andri Ashfahani (ICDM Workshops, 2019)

Wireless Indoor Positioning Using Online Machine Learning. - Sheng Huang 006; Andri Ashfahani; Mahardhika Pratama (ICMLA, 2019)

FERNN: A Fast and Evolving Recurrent Neural Network Model for Streaming Data Classification. - Monidipa Das; Mahardhika Pratama; Andri Ashfahani; Subhrajit Samanta (IJCNN, 2019)

Autonomous Deep Learning: Continual Learning Approach for Dynamic Environments. - Andri Ashfahani; Mahardhika Pratama (SDM, 2019)

Scalable Teacher-Forcing Networks under Spark Environments for Large-Scale Streaming Problems. - Choiru Za'in; Andri Ashfahani; Mahardhika Pratama; Edwin Lughofer; Eric Pardede (EAIS, 2020)

DEVDAN: Deep evolving denoising autoencoder. - Andri Ashfahani; Mahardhika Pratama; Edwin Lughofer; Yew-Soon Ong (Neurocomputing, 2020)

Autonomous Deep Quality Monitoring in Streaming Environments. - Andri Ashfahani; Mahardhika Pratama; Edwin Lughofer; Edward Kien Yee Yapp (IJCNN, 2021)

Unsupervised Continual Learning via Self-adaptive Deep Clustering Approach. - Mahardhika Pratama; Andri Ashfahani; Edwin Lughofer (CSSL, 2021)

Online Semisupervised Learning Approach for Quality Monitoring of Complex Manufacturing Process. - Weiwei Weng; Mahardhika Pratama; Andri Ashfahani; Edward Kien Yee Yapp (Complex., 2021)

Autonomous deep learning for continual learning in complex data stream environment - Andri Ashfahani (2021)

How to train your draGAN: A task oriented solution to imbalanced classification. - Leon O. Guertler; Andri Ashfahani; Anh Tuan Luu (CoRR, 2022)

Autonomous CNN (AutoCNN): A data-driven approach to network architecture determination. - Abhay M. S. Aradhya; Andri Ashfahani; Fienny Angelina; Mahardhika Pratama; Rodrigo Fernandes de Mello; Suresh Sundaram 002 (Inf. Sci., 2022)

Autonomous Cross Domain Adaptation Under Extreme Label Scarcity. - Weiwei Weng; Mahardhika Pratama; Choiru Za'in; Marcus de Carvalho; Appan Rakaraddi; Andri Ashfahani; Edward Kien Yee Yapp (IEEE Trans. Neural Networks Learn. Syst., 2023)

Unsupervised Continual Learning in Streaming Environments. - Andri Ashfahani; Mahardhika Pratama (IEEE Trans. Neural Networks Learn. Syst., 2023)