KEC@DPIL-FIRE2016: Detection of Paraphrases in Indian Languages (Tamil). - R. Thangarajan; Shanmuga Vadivel Kogilavani; A. Karthic; S. Jawahar (FIRE (Working Notes), 2016)

Automated support thresholds for rule mining. - Chenniangirivalasu Sadhasivam Kanimozhi Selvi; Subramaniam Malliga; Shanmuga Vadivel Kogilavani (Int. J. Bus. Intell. Data Min., 2016)

Summary generation approaches based on semantic analysis for news documents. - Shanmuga Vadivel Kogilavani; C. S. Kanimozhiselvi; Subramaniam Malliga (J. Inf. Sci., 2016)

Low Storage and Traceback Overhead IP Traceback System. - Subramaniam Malliga; C. S. Kanimozhiselvi; Shanmuga Vadivel Kogilavani (J. Inf. Sci. Eng., 2016)

Detection Offensive Tamil Texts using Machine Learning and Multilingual Transformers Models. - Malliga Subramanian; Shanmuga Vadivel Kogilavani; Antonette Shibani; Adhithiya G. J; Deepti Ravi; Gowthamkrishnan S (FIRE (Working Notes), 2021)

Offensive Language Identification in Low-resourced Code-mixed Dravidian languages using Pseudo-labeling. - Adeep Hande; Karthik Puranik; Konthala Yasaswini; Ruba Priyadharshini; Sajeetha Thavareesan; Anbukkarasi Sampath; Kogilavani Shanmugavadivel; Durairaj Thenmozhi; Bharathi Raja Chakravarthi (CoRR, 2021)

AI Powered COVID-19 Detection System using Non-Contact Sensing Technology and Deep Learning Techniques. - Shanmuga Vadivel Kogilavani; Sathishkumar V. E.; Malliga Subramanian (DCOSS, 2022)

A Lightweight Depthwise Separable Convolution Neural Network for Screening Covid-19 Infection from Chest CT and X-ray Images. - Malliga Subramanian; Sathishkumar V. E.; C. Ramya; Shanmuga Vadivel Kogilavani; Deepti Ravi (DCOSS, 2022)

A System For Detecting Abusive Contents Against LGBT Community Using Deep Learning Based Transformer Models. - Deepalakshmi Manikandan; Malliga Subramanian; Kogilavani Shanmugavadivel (FIRE (Working Notes), 2022)

Findings of shared task on Sentiment Analysis and Homophobia Detection of YouTube Comments in Code-Mixed Dravidian Languages. - Subalalitha Chinnaudayar Navaneethakrishnan; Bharathi Raja Chakravarthi; Kogilavani Shanmugavadivel; Malliga Subramanian; Prasanna Kumar Kumaresan; B. Bharathi; Lavanya Sambath Kumar; Rahul Ponnusamy (FIRE, 2022)

Overview of the Shared Task on Sentiment Analysis and Homophobia Detection of YouTube Comments in Code-Mixed Dravidian Languages. - Kogilavani Shanmugavadivel; Malliga Subramanian; Prasanna Kumar Kumaresan; Bharathi Raja Chakravarthi; B. Bharathi; Subalalitha Chinnaudayar Navaneethakrishnan; Lavanya Sambath Kumar; Thomas Mandl 001; Rahul Ponnusamy; Vasanth Palanikumar; Manoj Balaji Jagadeeshan (FIRE (Working Notes), 2022)

Performance Comparison of Different Convolutional Neural Network Models for the Detection of COVID-19. - Shanmuga Vadivel Kogilavani; R. Sandhiya; Subramaniam Malliga (ICHSA, 2022)

Evaluating the Performance of LSTM and GRU in Detection of Distributed Denial of Service Attacks Using CICDDoS2019 Dataset. - Malliga Subramanian; Kogilavani Shanmugavadivel; P. S. Nandhini; R. Sowmya (ICHSA, 2022)

Transformers at SemEval-2022 Task 5: A Feature Extraction based Approach for Misogynous Meme Detection. - Shankar Mahadevan; Sean Benhur; Roshan Nayak; Malliga Subramanian; Kogilavani Shanmugavadivel; Kanchana Sivanraju; Bharathi Raja Chakravarthi (SemEval@NAACL, 2022)

An analysis of machine learning models for sentiment analysis of Tamil code-mixed data. - Kogilavani Shanmugavadivel; Sai Haritha Sampath; Pramod Nandhakumar; Prasath Mahalingam; Malliga Subramanian; Prasanna Kumar Kumaresan; Ruba Priyadharshini (Comput. Speech Lang., 2022)

Offensive language detection in Tamil YouTube comments by adapters and cross-domain knowledge transfer. - Malliga Subramanian; Rahul Ponnusamy; Sean Benhur; Kogilavani Shanmugavadivel; Adhithiya Ganesan; Deepti Ravi; Gowtham Krishnan Shanmugasundaram; Ruba Priyadharshini; Bharathi Raja Chakravarthi (Comput. Speech Lang., 2022)

The role of contemporary digital tools and technologies in COVID-19 crisis: An exploratory analysis. - Malliga Subramanian; Shanmuga Vadivel Kogilavani; Wesam Atef Hatamleh; Abeer Ali Alnuaim; Mohamed Abdelhady; Sathishkumar V. E. (Expert Syst. J. Knowl. Eng., 2022)

A Comprehensive Review of Deep Learning Techniques for the Detection of (Distributed) Denial of Service Attacks. - Subramaniam Malliga; P. S. Nandhini; Shanmuga Vadivel Kogilavani (Inf. Technol. Control., 2022)

On fine-tuning deep learning models using transfer learning and hyper-parameters optimization for disease identification in maize leaves. - Malliga Subramanian; Kogilavani Shanmugavadivel; P. S. Nandhini (Neural Comput. Appl., 2022)

Optimized polycystic ovarian disease prognosis and classification using AI based computational approaches on multi-modality data. - Kogilavani Shanmugavadivel; Murali Dhar M. S; Mahesh T. R; Taher Al-Shehari; Nasser A. Alsadhan; Temesgen Engida Yimer (BMC Medical Informatics Decis. Mak., 2024)

Advancing Alzheimer's detection: integrative approaches in MRI analysis with traditional and deep learning models. - T. Vanaja; Kogilavani Shanmugavadivel; Malliga Subramanian; C. S. Kanimozhiselvi (Neural Comput. Appl., 2025)