Shylaja S S, Narayanan, A., Venugopal, A. and Prasad, A., 2017, December, “Document embedding generation for cyber-aggressive comment detection using supervised machine learning approach”, Proceedings of the 14th International Conference on Natural Language Processing (ICON-2017), pp. 348-355.
Kaushik Ravi , Nypunya Devraj, Shylaja S S, ”A New Approach to Detect Paste Forgeries in an Image”, Fourth International Conference on Image Information Processing(ICIIP 2017), DOI: 10.1109/iciip.2017.8313799.
Lalithnarayan C, Shylaja S S., “Multi-Level Stemming Based on Rules of Morphology for the Purposes of Implementation of Word Embeddings on Kannada” ,ICON 2018, 15 th International Conference on Natural Language Processing, Punjabi University, Patiala, India, December 2018.
Shylaja, S. S., Abhishek Narayanan, Abhijith Venugopal, and Abhishek Prasad, "Recurrent Neural Network Architectures with Trained Document Embeddings for Flagging Cyber-Aggressive Comments on Social Media." In Procedding of Advanced Computing and Communication Conference, ADCOM. 2018.
Hardik Gourisaria, Shylaja S S, Rama Devi P, Akhilarka Jayanthi, Tanay Gangey "Generating Captions for Underwater Images Using Deep Learning Models" In Conference on Artificial Intelligence: Research, Innovations and its Applications. 2019.
Anush Kini, P Rama Devi, Shylaja S S " Towards the generation of underwater images using Generative Adversarial Networks" In Conference on Artificial Intelligence: Research, Innovations and its Applications, 2019.
Ashok, A., Guruprasad, M., Prakash, C. O., & Shylaja, S. S., “A Machine Learning Approach for Disease Surveillance and Visualization using Twitter Data”, International Conference on Computational Intelligence in Data Science (ICCIDS) February 2019, pp. 1-6, IEEE.
Neelesh C.A., Ninaad R. Rao, Yashaswini S, Shylaja S S., ”Orientational Aspects of Objects in Text to 3D Scene Generation for Interior Designing”, International Conference on Emerging Trends and Challenges in Applied Science, Engineering and Technology - 2020 (ICECAET-2020) , 10-11, March 2020, Karnataka, India.
Samyak S Sarnayak, Ritik Hariani, P Rama Devi , Shylaja S S, Samarth G Vasist "CAPSTYLE - Stylized Image Captioning Using Deep Learning Models", ICRCSIT Conference, Hyderabad, September 2020.
Dweepa Honnavalli, Shylaja S S, “Supervised Machine Learning Model for Accent Recognition in English Speech using Sequential MFCC Features”, In book: Advances in Artificial Intelligence and Data Engineering, pp. 55-66, 2021.
Katrak, Kayan K., Rithvik Chandan, Sirisha Lanka, G. M. Chitra, and S. S. Shylaja. " Sparse Reflectance Map-Based Fabric Characterization. " In Advances in Artificial Intelligence and Data Engineering, pp. 223-235. Springer, Singapore, 2021.
P Rama Devi, V Thrivikram, D Kashyap, Shylaja S S " Image Captioning using Reinforcement Learning with BLUDEr Optimization", Pattern Recognition and Image Analysis, 30, pp. 607–613, 2021, DOI: 10.1134/s1054661820040094.
Sujeeth A Vankudari, Navneet Raju, Anirudh Maiya, Hebbar R, Uma D, Shylaja S S, Ganesha Raj, ”Performance of different U-NET architectures for inventory of coconut plantations using cartosat-2 multispectral data”, International Geoscience and Remote Sensing Symposium, In 2021 a joint initiative of Belgium and The Netherlands,IGAARS-2021.
Chakita Muttaraj, Ramya Narasimha Prabhu, S. Sheetal, D. Uma and S. S. Shylaja, “IFF: An Intelligent Fashion Forecasting System”, Published in the Book: Computational Intelligence and Data Analytics: Proceedings of ICCIDA 2022, September 2022, pp. : 487-498, Springer Nature Singapore.
Ashwini Joshi, “A Deviation based Ensemble Algorithm for Sarcasm Detection in Online Comments”, Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT 2023), to be held(22-24 February 2023) at Velalar College of Engineering and Technology, Erode, Tamil Nadu, India.
Chirtra G M., Shylaja S S., Neha Angadi, Shreyas Raviprasad, Royston Tauro, “Fabric Composition Identification using Fine-Tuned Vision Transformers", Global Scientific and Academic Research Journal of Multidisciplinary Studies, September 2023 (Ack. No. GSARJMS832023).
Nidhi P G, Disha M, Siddharth Soora, Pranav Bookanakere and Uma D., “Personalized Travel Itinerary Recommender System” ,2023 International Conference on Artificial Intelligence, Blockchain, Cloud Computing, and Data Analytics (ICoABCD), 13 – 15 November, 2023, Bali, Indonesia(submitted).
M S Varun, Ishaan Bhattacharjee, Pratheek Karike Venkatesha, Sathvik A, Pramath S, Bhaskarjyoti Das, “Meta Learning Based Multimodal Fake News Detection”, ICDEMI 2023, GITAM University, 22-24 November 2023, Bengaluru, India, Springer /Scopus(submitted).
Nischal R Bhat, Prerana Sanjay Kulkarni, Ananya Menon, Smruthika S Meda, Bhaskarjyoti Das, “Meta Learning Assisted Graph Representation Learning for Downstream Learning Tasks”, ICDEMI 2023, GITAM University, 22-24 November 2023, Bengaluru, India, Springer /Scopus(submitted).
Preethi P, Rohit Suresh, Mutasim M, Yashwin S, Sana Suman, “ Development and Evaluation of a Comprehensive Dataset for Pothole Depth Estimation of Indian Roads”, 7th International Symposium on Signal Processing and Intelligent Recognition Systems (SIRS'23),18-20, Dec. 2023, PES University, Bengaluru, India(submitted).
