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Vidya Saikrishna
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2020 – today
- 2024
- [j4]Achhardeep Kaur, Azadeh Noori Hoshyar, Vidya Saikrishna, Selena Firmin, Feng Xia:
Deepfake video detection: challenges and opportunities. Artif. Intell. Rev. 57(6): 159 (2024) - [j3]Ke Sun, Feng Xia, Jiaying Liu, Bo Xu, Vidya Saikrishna, Charu C. Aggarwal:
Attributed Graph Force Learning. IEEE Trans. Neural Networks Learn. Syst. 35(4): 4502-4515 (2024) - [j2]Mingliang Hou, Feng Xia, Xin Chen, Vidya Saikrishna, Honglong Chen:
Adaptive Spatio-temporal Graph Learning for Bus Station Profiling. ACM Trans. Spatial Algorithms Syst. 10(3): 25:1-25:23 (2024) - [i4]Huiling Tu, Shuo Yu, Vidya Saikrishna, Feng Xia, Karin M. Verspoor:
Deep Outdated Fact Detection in Knowledge Graphs. CoRR abs/2402.03732 (2024) - [i3]Haiyang Liu, Yang Zhang, Vidya Saikrishna, Quanquan Tian, Kun Zheng:
Prompt Learning for Multi-Label Code Smell Detection: A Promising Approach. CoRR abs/2402.10398 (2024) - 2023
- [c6]Zhi Liu, Hanlin Zhou, Feng Xia, Guojiang Shen, Vidya Saikrishna, Xiaohua He, Jiaxin Du, Xiangjie Kong:
Subgraph Federated Learning with Global Graph Reconstruction. APWeb-WAIM (1) 2023: 158-173 - [c5]Huiling Tu, Shuo Yu, Vidya Saikrishna, Feng Xia, Karin Verspoor:
Deep Outdated Fact Detection in Knowledge Graphs. ICDM (Workshops) 2023: 1443-1452 - [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
- [j1]Ke Sun, Wuyang Li, Vidya Saikrishna, Mehmood Chadhar, Feng Xia:
COVID-19 datasets: A brief overview. Comput. Sci. Inf. Syst. 19(3): 1115-1132 (2022) - [c4]Ciyuan Peng, Feng Xia, Vidya Saikrishna, Huan Liu:
Physics-Informed Graph Learning. ICDM (Workshops) 2022: 732-739 - [i1]Ciyuan Peng, Feng Xia, Vidya Saikrishna, Huan Liu:
Physics-Informed Graph Learning: A Survey. CoRR abs/2202.10679 (2022) - 2021
- [c3]Dongyu Zhang, Minghao Zhang, Teng Guo, Ciyuan Peng, Vidya Saikrishna, Feng Xia:
In Your Face: Sentiment Analysis of Metaphor with Facial Expressive Features. IJCNN 2021: 1-8
2010 – 2019
- 2019
- [c2]Vidya Saikrishna, Sid Ray:
MML Inference of Hierarchical Probabilistic Finite State Machine. CCC 2019: 78-84 - 2017
- [b1]Vidya Saikrishna:
Learning and Inference of Probabilistic Finite State Machines using MML and Applications to Classification Problem. Monash University, Australia, 2017 - 2015
- [c1]Vidya Saikrishna, David L. Dowe, Sid Ray:
MML inference of Finite State Automata for probabilistic spam detection. ICAPR 2015: 1-6
Coauthor Index
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last updated on 2024-10-31 20:17 CET by the dblp team
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