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ORCIDShanmuga Vadivel Kogilavani
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2020 – today
- 2024
[j9]Kogilavani Shanmugavadivel, Murali Dhar M. S, Mahesh T. R, Taher Al-Shehari, Nasser A. Alsadhan, Temesgen Engida Yimer:
Optimized polycystic ovarian disease prognosis and classification using AI based computational approaches on multi-modality data. BMC Medical Informatics Decis. Mak. 24(1): 281 (2024)- 2022
- [j8]Malliga Subramanian
, Rahul Ponnusamy, Sean Benhur, Kogilavani Shanmugavadivel, Adhithiya Ganesan, Deepti Ravi, Gowtham Krishnan Shanmugasundaram, Ruba Priyadharshini, Bharathi Raja Chakravarthi:
Offensive language detection in Tamil YouTube comments by adapters and cross-domain knowledge transfer. Comput. Speech Lang. 76: 101404 (2022) - [j7]Kogilavani Shanmugavadivel, Sai Haritha Sampath, Pramod Nandhakumar, Prasath Mahalingam, Malliga Subramanian, Prasanna Kumar Kumaresan, Ruba Priyadharshini:
An analysis of machine learning models for sentiment analysis of Tamil code-mixed data. Comput. Speech Lang. 76: 101407 (2022) - [j6]Malliga Subramanian, Shanmuga Vadivel Kogilavani, Wesam Atef Hatamleh, Abeer Ali Alnuaim, Mohamed Abdelhady, Sathishkumar V. E.:
The role of contemporary digital tools and technologies in COVID-19 crisis: An exploratory analysis. Expert Syst. J. Knowl. Eng. 39(6) (2022) - [j5]Subramaniam Malliga, P. S. Nandhini, Shanmuga Vadivel Kogilavani:
A Comprehensive Review of Deep Learning Techniques for the Detection of (Distributed) Denial of Service Attacks. Inf. Technol. Control. 51(1): 180-215 (2022) - [j4]Malliga Subramanian, Kogilavani Shanmugavadivel, P. S. Nandhini:
On fine-tuning deep learning models using transfer learning and hyper-parameters optimization for disease identification in maize leaves. Neural Comput. Appl. 34(16): 13951-13968 (2022) - [c10]Shanmuga Vadivel Kogilavani, Sathishkumar V. E., Malliga Subramanian:
AI Powered COVID-19 Detection System using Non-Contact Sensing Technology and Deep Learning Techniques. DCOSS 2022: 400-403 - [c9]Malliga Subramanian, Sathishkumar V. E., C. Ramya, Shanmuga Vadivel Kogilavani, Deepti Ravi:
A Lightweight Depthwise Separable Convolution Neural Network for Screening Covid-19 Infection from Chest CT and X-ray Images. DCOSS 2022: 410-413 - [c8]Subalalitha Chinnaudayar Navaneethakrishnan, Bharathi Raja Chakravarthi, Kogilavani Shanmugavadivel, Malliga Subramanian, Prasanna Kumar Kumaresan, B. Bharathi, Lavanya Sambath Kumar, Rahul Ponnusamy:
Findings of shared task on Sentiment Analysis and Homophobia Detection of YouTube Comments in Code-Mixed Dravidian Languages. FIRE 2022: 18-21 - [c7]Kogilavani Shanmugavadivel, Malliga Subramanian, Prasanna Kumar Kumaresan, Bharathi Raja Chakravarthi, B. Bharathi, Subalalitha Chinnaudayar Navaneethakrishnan, Lavanya Sambath Kumar, Thomas Mandl, Rahul Ponnusamy, Vasanth Palanikumar, Manoj Balaji Jagadeeshan:
Overview of the Shared Task on Sentiment Analysis and Homophobia Detection of YouTube Comments in Code-Mixed Dravidian Languages. FIRE (Working Notes) 2022: 80-91 - [c6]Deepalakshmi Manikandan, Malliga Subramanian, Kogilavani Shanmugavadivel:
A System For Detecting Abusive Contents Against LGBT Community Using Deep Learning Based Transformer Models. FIRE (Working Notes) 2022: 106-116 - [c5]Malliga Subramanian, Kogilavani Shanmugavadivel, P. S. Nandhini, R. Sowmya:
Evaluating the Performance of LSTM and GRU in Detection of Distributed Denial of Service Attacks Using CICDDoS2019 Dataset. ICHSA 2022: 395-406 - [c4]Shanmuga Vadivel Kogilavani, R. Sandhiya, Subramaniam Malliga:
Performance Comparison of Different Convolutional Neural Network Models for the Detection of COVID-19. ICHSA 2022: 413-425 - [c3]Shankar Mahadevan, Sean Benhur, Roshan Nayak, Malliga Subramanian, Kogilavani Shanmugavadivel, Kanchana Sivanraju, Bharathi Raja Chakravarthi:
Transformers at SemEval-2022 Task 5: A Feature Extraction based Approach for Misogynous Meme Detection. SemEval@NAACL 2022: 550-554 - 2021
- [c2]Malliga Subramanian, Shanmuga Vadivel Kogilavani, Antonette Shibani, Adhithiya G. J, Deepti Ravi, Gowthamkrishnan S:
Detection Offensive Tamil Texts using Machine Learning and Multilingual Transformers Models. FIRE (Working Notes) 2021: 720-728 - [i1]Adeep Hande, Karthik Puranik, Konthala Yasaswini, Ruba Priyadharshini, Sajeetha Thavareesan, Anbukkarasi Sampath, Kogilavani Shanmugavadivel, Durairaj Thenmozhi, Bharathi Raja Chakravarthi:
Offensive Language Identification in Low-resourced Code-mixed Dravidian languages using Pseudo-labeling. CoRR abs/2108.12177 (2021)
2010 – 2019
- 2016
- [j3]Chenniangirivalasu Sadhasivam Kanimozhi Selvi, Subramaniam Malliga, Shanmuga Vadivel Kogilavani:
Automated support thresholds for rule mining. Int. J. Bus. Intell. Data Min. 11(2): 151-170 (2016) - [j2]Shanmuga Vadivel Kogilavani, C. S. Kanimozhiselvi, Subramaniam Malliga:
Summary generation approaches based on semantic analysis for news documents. J. Inf. Sci. 42(4): 465-476 (2016) - [j1]Subramaniam Malliga, C. S. Kanimozhiselvi, Shanmuga Vadivel Kogilavani:
Low Storage and Traceback Overhead IP Traceback System. J. Inf. Sci. Eng. 32(1): 27-45 (2016) - [c1]R. Thangarajan, Shanmuga Vadivel Kogilavani, A. Karthic, S. Jawahar:
KEC@DPIL-FIRE2016: Detection of Paraphrases in Indian Languages (Tamil). FIRE (Working Notes) 2016: 282-288
Coauthor Index
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last updated on 2024-10-08 20:34 CEST by the dblp team
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