Malliga Subramanian

23 papers B 2Journal 14Unranked 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
Advancing Alzheimer's detection: integrative approaches in MRI analysis with traditional and deep learning models.
Neural Comput. Appl.
T. Vanaja, Kogilavani Shanmugavadivel, Malliga Subramanian, C. S. Kanimozhiselvi
2025 J jnl
An explainable intrusion detection system using novel Indian millipede optimization and WGAN-GP with a dynamic attention-based ensemble model.
PeerJ Comput. Sci.
Ramya Chinnasamy, Malliga Subramanian
2025 J jnl
Deep learning-driven methods for network-based intrusion detection systems: A systematic review.
ICT Express
Ramya Chinnasamy, Malliga Subramanian, Sathishkumar Veerappampalayam Easwaramoorthy, Jaehyuk Cho
2025 J jnl
Empowering intrusion detection systems: a synergistic hybrid approach with optimization and deep learning techniques for network security.
Int. Arab J. Inf. Technol.
Ramya Chinnasamy, Malliga Subramanian, Nandita Sengupta
2025 J jnl
Empowering sentiment analysis in social media: a comprehensive approach to enhance the classification of abusive Tamil comments using transformer models.
J. Big Data
Malliga Subramanian, Sathishkumar Veerappampalayam Easwaramoorthy, Nandhini Subbarayan, Usha Moorthy
2024 — conf
Investigation of Machine Learning and Transformer Models for Sarcasm Detection in Dravidian Languages.
FIRE (Working Notes)
Malliga Subramanian, Ananthakumar S, Deepiga P, Dharshini S, Kogilavani S. V
2023 J jnl
A Gradient Boosted Decision Tree-Based Influencer Prediction in Social Network Analysis.
Big Data Cogn. Comput.
Neelakandan Subramani, Veerappampalayam Easwaramoorthy Sathishkumar, Prakash Mohan, Malliga Subramanian, Velmurugan Sambath
2023 J jnl
Multiple Types of Cancer Classification Using CT/MRI Images Based on Learning Without Forgetting Powered Deep Learning Models.
IEEE Access
Malliga Subramanian, Jaehyuk Cho, Veerappampalayam Easwaramoorthy Sathishkumar, Obuli Sai Naren
2022 B conf
A Lightweight Depthwise Separable Convolution Neural Network for Screening Covid-19 Infection from Chest CT and X-ray Images.
DCOSS
Malliga Subramanian, Sathishkumar V. E., C. Ramya, Shanmuga Vadivel Kogilavani, Deepti Ravi
2022 — conf
A System For Detecting Abusive Contents Against LGBT Community Using Deep Learning Based Transformer Models.
FIRE (Working Notes)
Deepalakshmi Manikandan, Malliga Subramanian, Kogilavani Shanmugavadivel
2022 B conf
AI Powered COVID-19 Detection System using Non-Contact Sensing Technology and Deep Learning Techniques.
DCOSS
Shanmuga Vadivel Kogilavani, Sathishkumar V. E., Malliga Subramanian
2022 J jnl
An analysis of machine learning models for sentiment analysis of Tamil code-mixed data.
Comput. Speech Lang.
Kogilavani Shanmugavadivel, Sai Haritha Sampath, Pramod Nandhakumar, Prasath Mahalingam, Malliga Subramanian, Prasanna Kumar Kumaresan, Ruba Priyadharshini
2022 J jnl
Cervical cancer classification using efficient net and fuzzy extreme learning machine.
J. Intell. Fuzzy Syst.
A. Suphalakshmi, A. Ahilan, A. Jeyam, Malliga Subramanian
2022 — conf
Evaluating the Performance of LSTM and GRU in Detection of Distributed Denial of Service Attacks Using CICDDoS2019 Dataset.
ICHSA
Malliga Subramanian, Kogilavani Shanmugavadivel, P. S. Nandhini, R. Sowmya
2022 — conf
Findings of shared task on Sentiment Analysis and Homophobia Detection of YouTube Comments in Code-Mixed Dravidian Languages.
FIRE
Subalalitha Chinnaudayar Navaneethakrishnan, Bharathi Raja Chakravarthi, Kogilavani Shanmugavadivel, Malliga Subramanian, Prasanna Kumar Kumaresan, B. Bharathi, Lavanya Sambath Kumar, Rahul Ponnusamy
2022 J jnl
Hyperparameter Optimization for Transfer Learning of VGG16 for Disease Identification in Corn Leaves Using Bayesian Optimization.
Big Data
Malliga Subramanian, L. V. Narasimha Prasad, B. Janakiramaiah, Asanapuram Mohan Babu, Sathishkumar V. E.
2022 J jnl
Offensive language detection in Tamil YouTube comments by adapters and cross-domain knowledge transfer.
Comput. Speech Lang.
Malliga Subramanian, Rahul Ponnusamy, Sean Benhur, Kogilavani Shanmugavadivel, Adhithiya Ganesan, Deepti Ravi, Gowtham Krishnan Shanmugasundaram, Ruba Priyadharshini, Bharathi Raja Chakravarthi
2022 J jnl
On fine-tuning deep learning models using transfer learning and hyper-parameters optimization for disease identification in maize leaves.
Neural Comput. Appl.
Malliga Subramanian, Kogilavani Shanmugavadivel, P. S. Nandhini
2022 — conf
Overview of the Shared Task on Sentiment Analysis and Homophobia Detection of YouTube Comments in Code-Mixed Dravidian Languages.
FIRE (Working Notes)
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
2022 J jnl
The role of contemporary digital tools and technologies in COVID-19 crisis: An exploratory analysis.
Expert Syst. J. Knowl. Eng.
Malliga Subramanian, Shanmuga Vadivel Kogilavani, Wesam Atef Hatamleh, Abeer Ali Alnuaim, Mohamed Abdelhady, Sathishkumar V. E.
2022 — conf
Transformers at SemEval-2022 Task 5: A Feature Extraction based Approach for Misogynous Meme Detection.
SemEval@NAACL
Shankar Mahadevan, Sean Benhur, Roshan Nayak, Malliga Subramanian, Kogilavani Shanmugavadivel, Kanchana Sivanraju, Bharathi Raja Chakravarthi
2021 — conf
Detection Offensive Tamil Texts using Machine Learning and Multilingual Transformers Models.
FIRE (Working Notes)
Malliga Subramanian, Shanmuga Vadivel Kogilavani, Antonette Shibani, Adhithiya G. J, Deepti Ravi, Gowthamkrishnan S
2010 J jnl
An Autonomous Framework for Early Detection of Spoofed Flooding Attacks.
Int. J. Netw. Secur.
Malliga Subramanian, Tamilarasi Angamuthu