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ORCIDMalliga Subramanian
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2023
[j9]Malliga Subramanian, Jaehyuk Cho
, Veerappampalayam Easwaramoorthy Sathishkumar, Obuli Sai Naren:
Multiple Types of Cancer Classification Using CT/MRI Images Based on Learning Without Forgetting Powered Deep Learning Models. IEEE Access 11: 10336-10354 (2023)- [j8]Neelakandan Subramani, Veerappampalayam Easwaramoorthy Sathishkumar, Prakash Mohan, Malliga Subramanian, Velmurugan Sambath:
A Gradient Boosted Decision Tree-Based Influencer Prediction in Social Network Analysis. Big Data Cogn. Comput. 7(1): 6 (2023) - 2022
- [j7]Malliga Subramanian, L. V. Narasimha Prasad, B. Janakiramaiah, Asanapuram Mohan Babu, Sathishkumar V. E.:
Hyperparameter Optimization for Transfer Learning of VGG16 for Disease Identification in Corn Leaves Using Bayesian Optimization. Big Data 10(3): 215-229 (2022) - [j6]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) - [j5]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) - [j4]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) - [j3]A. Suphalakshmi, A. Ahilan, A. Jeyam, Malliga Subramanian:
Cervical cancer classification using efficient net and fuzzy extreme learning machine. J. Intell. Fuzzy Syst. 43(5): 6333-6342 (2022) - [j2]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) - [c8]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 - [c7]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 - [c6]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 - [c5]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 - [c4]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 - [c3]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 - [c2]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
- [c1]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
2010 – 2019
- 2010
- [j1]Malliga Subramanian, Tamilarasi Angamuthu:
An Autonomous Framework for Early Detection of Spoofed Flooding Attacks. Int. J. Netw. Secur. 10(1): 39-50 (2010)
Coauthor Index
aka: Kogilavani Shanmugavadivel
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