| 2023 | ICONIP | Explainable Offensive Language Classifier. | Ayushi Kohli, V. Susheela Devi |
| 2023 | IJCNN | Towards Robustness of Few-Shot Text Classifiers. | Rohit Raj, V. Susheela Devi |
| 2022 | ICONIP | Extractive Question Answering Using Transformer-Based LM. | Raj Jha, V. Susheela Devi |
| 2022 | ICONIP | SumBART - An Improved BART Model for Abstractive Text Summarization. | A. Vivek, V. Susheela Devi |
| 2021 | GECCO | Estimation of von mises-fisher distribution algorithm, with application to support vector classification. | Adetunji David Ajimakin, V. Susheela Devi |
| 2020 | COMAD | Prototype Selection and Dimensionality Reduction on Multi-Label Data. | Hemavati, V. Susheela Devi, Seba Ann Kuruvilla, R. Aparna |
| 2019 | ICONIP | Community Based Node Embeddings for Networks. | P. Meghashyam, V. Susheela Devi |
| 2018 | ICONIP | Transfer Learning Using Progressive Neural Networks and NMT for Classification Tasks in NLP. | Ravi Shankar Devanapalli, V. Susheela Devi |
| 2017 | ASRU | Unsupervised HMM posteriograms for language independent acoustic modeling in zero resource conditions. | T. K. Ansari, Rajath Kumar, Sonali Singh, Sriram Ganapathy, V. Susheela Devi |
| 2015 | ICONIP | Prototype Selection on Large and Streaming Data. | Lakhpat Meena, V. Susheela Devi |
| 2014 | CIDM | Weighted feature-based classification of time series data. | Penugonda Ravikumar, V. Susheela Devi |
| 2014 | CIDM | Novelty detection applied to the classification problem using Probabilistic Neural Network. | Balvant Yadav, V. Susheela Devi |
| 2012 | ICONIP | Modified Particle Swarm Optimization for Pattern Clustering. | K. P. Swetha, V. Susheela Devi |
| 2012 | ICONIP | Simultaneous Feature Selection and Clustering Using Particle Swarm Optimization. | K. P. Swetha, V. Susheela Devi |
| 2011 | CEC | Combination of similarity measures for time series classification using genetic algorithms. | Deepti Dohare, V. Susheela Devi |