Falih Febrinanto

According to our database, Falih Febrinanto authored at least 14 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

SIGNL: A label-efficient audio deepfake detection system via spectral-temporal graph non-contrastive learning.

Falih Gozi Febrinanto, Kristen Moore, Chandra Thapa, Jiangang Ma, Vidya Saikrishna

Expert Syst. Appl., 2026

2025

Entropy Causal Graphs for Multivariate Time Series Anomaly Detection.

Falih Gozi Febrinanto, Kristen Moore, Chandra Thapa, Mujie Liu, Vidya Saikrishna, Jiangang Ma, Feng Xia

ACM Trans. Intell. Syst. Technol., December, 2025

Refined causal graph structure learning via curvature for brain disease classification.

Falih Gozi Febrinanto, Adonia Simango, Chengpei Xu, Jingjing Zhou, Jiangang Ma, Sonika Tyagi, Feng Xia

Artif. Intell. Rev., August, 2025

Vision Graph Non-Contrastive Learning for Audio Deepfake Detection with Limited Labels.

Falih Gozi Febrinanto, Kristen Moore, Chandra Thapa, Jiangang Ma, Vidya Saikrishna, Feng Xia

CoRR, January, 2025

GraphDART: Graph Distillation for Efficient Advanced Persistent Threat Detection.

Saba Fathi Rabooki, Bowen Li, Falih Gozi Febrinanto, Ciyuan Peng, Elham Naghizade, Fengling Han, Feng Xia

CoRR, January, 2025

Graph Learning.

Feng Xia, Ciyuan Peng, Jing Ren, Falih Gozi Febrinanto, Renqiang Luo, Vidya Saikrishna, Shuo Yu, Xiangjie Kong

Found. Trends Signal Process., 2025

Rehearsal with Auxiliary-Informed Sampling for Audio Deepfake Detection.

Falih Gozi Febrinanto, Kristen Moore, Chandra Thapa, Jiangang Ma, Vidya Saikrishna, Feng Xia

Proceedings of the 26th Annual Conference of the International Speech Communication Association, 2025

2024

PANDORA: Deep Graph Learning Based COVID-19 Infection Risk Level Forecasting.

Shuo Yu, Feng Xia, Yueru Wang, Shihao Li, Falih Gozi Febrinanto, Madhu Chetty

IEEE Trans. Comput. Soc. Syst., February, 2024

Motif-Induced Subgraph Generative Learning for Explainable Neurological Disorder Detection.

Mujie Liu, Qichao Dong, Chenze Wang, Xinrui Cheng, Falih Gozi Febrinanto, Azadeh Noori Hoshyar, Feng Xia

Proceedings of the AI 2024: Advances in Artificial Intelligence, 2024

2023

Graph Lifelong Learning: A Survey.

Falih Gozi Febrinanto, Feng Xia, Kristen Moore, Chandra Thapa, Charu Aggarwal

IEEE Comput. Intell. Mag., February, 2023

Efficient Graph Learning for Anomaly Detection Systems.

Falih Gozi Febrinanto

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Balanced Graph Structure Information for Brain Disease Detection.

Falih Gozi Febrinanto, Mujie Liu, Feng Xia

Proceedings of the Knowledge Management and Acquisition for Intelligent Systems, 2023

2022

Attractiveness based conference ranking.

Chen Zhang, Falih Febrinanto, Mujie Liu, Xiangjie Kong, Dongyu Zhang, Sardar M. N. Islam

Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022

2021

Cross Network Representation Matching with Outliers.

Mingliang Hou, Jing Ren, Falih Febrinanto, Ahsan Shehzad, Feng Xia

Proceedings of the 2021 International Conference on Data Mining, 2021