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Class-Incremental Learning via Knowledge Amalgamation


Sep 05, 2022
Marcus de Carvalho, Mahardhika Pratama, Jie Zhang, Yajuan San

* Paper accepted at ECML PKDD 2022 

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Scalable Adversarial Online Continual Learning


Sep 04, 2022
Tanmoy Dam, Mahardhika Pratama, MD Meftahul Ferdaus, Sreenatha Anavatti, Hussein Abbas

* has been accepted for publication at European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2022 (ECML PKDD 2022) 

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Reinforced Continual Learning for Graphs


Sep 04, 2022
Appan Rakaraddi, Siew Kei Lam, Mahardhika Pratama, Marcus De Carvalho

* has been accepted for publication as a long paper at 31st ACM International Conference on Information and Knowledge Management (CIKM 22) 

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Latent Preserving Generative Adversarial Network for Imbalance classification


Sep 04, 2022
Tanmoy Dam, Md Meftahul Ferdaus, Mahardhika Pratama, Sreenatha G. Anavatti, Senthilnath Jayavelu, Hussein A. Abbass

* has been accepted for publication at The 29th IEEE International Conference on Image Processing (IEEE ICIP 2022) 

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Autonomous Cross Domain Adaptation under Extreme Label Scarcity


Sep 04, 2022
Weiwei Weng, Mahardhika Pratama, Choiru Za'in, Marcus De Carvalho, Rakaraddi Appan, Andri Ashfahani, Edward Yapp Kien Yee

* IEEE Transactions on Neural Networks and Learning Systems, 2022 

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Unsupervised Learning for Identifying High Eigenvector Centrality Nodes: A Graph Neural Network Approach


Nov 08, 2021
Appan Rakaraddi, Mahardhika Pratama

* accepted in IEEE BigData 2021 

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ACDC: Online Unsupervised Cross-Domain Adaptation


Oct 04, 2021
Marcus de Carvalho, Mahardhika Pratama, Jie Zhang, Edward Yapp


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Unsupervised Continual Learning in Streaming Environments


Sep 20, 2021
Andri Ashfahani, Mahardhika Pratama

* under review in IEEE journals 

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Automatic Online Multi-Source Domain Adaptation


Sep 12, 2021
Renchunzi Xie, Mahardhika Pratama

* this paper has been accepted in Information Sciences 

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