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Falih Febrinanto
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2020 – today
- 2024
- [j2]Shuo Yu
, Feng Xia
PANDORA: Deep Graph Learning Based COVID-19 Infection Risk Level Forecasting. IEEE Trans. Comput. Soc. Syst. 11(1): 717-730 (2024) - [c5]Mujie Liu, Qichao Dong, Chenze Wang, Xinrui Cheng, Falih Gozi Febrinanto
Motif-Induced Subgraph Generative Learning for Explainable Neurological Disorder Detection. AI (2) 2024: 376-389 - [i4]Falih Gozi Febrinanto, Mujie Liu, Feng Xia:
Balanced Graph Structure Information for Brain Disease Detection. CoRR abs/2401.00876 (2024) - [i3]Shuo Yu, Feng Xia, Yueru Wang, Shihao Li, Falih Febrinanto, Madhu Chetty:
PANDORA: Deep graph learning based COVID-19 infection risk level forecasting. CoRR abs/2406.06618 (2024) - 2023
- [j1]Falih Gozi Febrinanto
Graph Lifelong Learning: A Survey. IEEE Comput. Intell. Mag. 18(1): 32-51 (2023) - [c4]Falih Gozi Febrinanto
Balanced Graph Structure Information for Brain Disease Detection. PKAW 2023: 134-143 - [c3]Falih Gozi Febrinanto
Efficient Graph Learning for Anomaly Detection Systems. WSDM 2023: 1222-1223 - [i2]Falih Gozi Febrinanto, Kristen Moore, Chandra Thapa, Mujie Liu, Vidya Saikrishna, Jiangang Ma, Feng Xia:
Entropy Causal Graphs for Multivariate Time Series Anomaly Detection. CoRR abs/2312.09478 (2023) - 2022
- [c2]Chen Zhang, Falih Febrinanto
Attractiveness based conference ranking. SAC 2022: 803-806 - [i1]Falih Gozi Febrinanto, Feng Xia, Kristen Moore, Chandra Thapa, Charu Aggarwal:
Graph Lifelong Learning: A Survey. CoRR abs/2202.10688 (2022) - 2021
- [c1]Mingliang Hou, Jing Ren, Falih Febrinanto
Cross Network Representation Matching with Outliers. ICDM (Workshops) 2021: 951-958
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