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ORCIDVishalini R. Laguduva
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- affiliation: University of South Florida, Department of Computer Science and Engineering, Tampa, FL , USA
- affiliation: Oklahoma State University, Stillwater, OK, USA
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2020 – today
- 2024
[j2]Sathyanarayanan N. Aakur, Vishalini R. Laguduva, Priyadharsini Ramamurthy, Akhilesh Ramachandran:
TEPI: Taxonomy-Aware Embedding and Pseudo-Imaging for Scarcely-Labeled Zero-Shot Genome Classification. IEEE J. Biomed. Health Informatics 28(4): 2385-2396 (2024)- [i4]Sathyanarayanan N. Aakur, Vishalini R. Laguduva, Priyadharsini Ramamurthy, Akhilesh Ramachandran:
TEPI: Taxonomy-aware Embedding and Pseudo-Imaging for Scarcely-labeled Zero-shot Genome Classification. CoRR abs/2401.13219 (2024) - 2021
- [c8]Sathyanarayanan N. Aakur, Vineela Indla, Vennela Indla, Sai Narayanan, Arunkumar Bagavathi, Vishalini Laguduva Ramnath, Akhilesh Ramachandran:
Metagenome2Vec: Building Contextualized Representations for Scalable Metagenome Analysis. ICDM (Workshops) 2021: 500-507 - [c7]Sathyanarayanan N. Aakur, Sai Narayanan, Vineela Indla, Arunkumar Bagavathi, Vishalini Laguduva Ramnath, Akhilesh Ramachandran:
MG-NET: Leveraging Pseudo-imaging for Multi-modal Metagenome Analysis. MICCAI (5) 2021: 592-602 - [c6]Vineela Indla, Vennela Indla, Sai Narayanan, Akhilesh Ramachandran, Arunkumar Bagavathi, Vishalini Laguduva Ramnath, Sathyanarayanan N. Aakur:
Sim2Real for Metagenomes: Accelerating Animal Diagnostics with Adversarial Co-training. PAKDD (1) 2021: 164-175 - [i3]Sathyanarayanan N. Aakur, Sai Narayanan, Vineela Indla, Arunkumar Bagavathi, Vishalini Laguduva Ramnath, Akhilesh Ramachandran:
MG-NET: Leveraging Pseudo-Imaging for Multi-Modal Metagenome Analysis. CoRR abs/2107.09883 (2021) - [i2]Sathyanarayanan N. Aakur, Vineela Indla, Vennela Indla, Sai Narayanan, Arunkumar Bagavathi, Vishalini Laguduva Ramnath, Akhilesh Ramachandran:
Metagenome2Vec: Building Contextualized Representations for Scalable Metagenome Analysis. CoRR abs/2111.08001 (2021) - 2020
- [b1]Vishalini R. Laguduva:
Machine Learning for the Internet of Things: Applications, Implementation, and Security. University of South Florida, Tampa, USA, 2020 - [j1]Vishalini R. Laguduva, Srinivas Katkoori, Robert Karam:
Machine Learning Attacks and Countermeasures for PUF-Based IoT Edge Node Security. SN Comput. Sci. 1(5): 282 (2020) - [c5]Lakshmi Kavya Kalyanam, Vishalini Laguduva Ramnath, Srinivas Katkoori
, Hao Zheng:
A Distributed Framework for Real Time Object Detection at Low Frame Rates with IoT Edge Nodes. iSES 2020: 285-290 - [c4]Vishalini Laguduva Ramnath, Srinivas Katkoori:
A Smart IoT System for Continuous Sleep State Monitoring. MWSCAS 2020: 241-244 - [c3]Vishalini R. Laguduva, Shakil Mahmud, Sathyanarayanan N. Aakur, Robert Karam, Srinivas Katkoori:
Dissecting Convolutional Neural Networks for Efficient Implementation on Constrained Platforms. VLSID 2020: 149-154
2010 – 2019
- 2019
- [c2]Vishalini Laguduva Ramnath, Sathyanarayanan N. Aakur, Srinivas Katkoori:
Latent Space Modeling for Cloning Encrypted PUF-Based Authentication. IFIPIoT 2019: 142-158 - [c1]Vishalini R. Laguduva, Sheikh Ariful Islam, Sathyanarayanan N. Aakur, Srinivas Katkoori, Robert Karam:
Machine Learning Based IoT Edge Node Security Attack and Countermeasures. ISVLSI 2019: 670-675 - [i1]Vishalini R. Laguduva, Sheikh Ariful Islam, Sathyanarayanan N. Aakur, Srinivas Katkoori, Robert Karam:
Machine Learning based IoT Edge Node Security Attack and Countermeasures. CoRR abs/1909.07891 (2019)
Coauthor Index
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