| 2024 | ICPR | Two-Way Transfer Learning Using Mobile-Dense Network for Occluded Face Emotion Recognition: A Soft Decision Fusion Approach. | Ashi Agarwal, Seba Susan |
| 2023 | HIS | K-Nearest Neighborhood Based Hybrid Recommendation System Using Collaborative Filtering and Meta-Learning. | Hrriday Agarwal, Lakshay Raghav, Krittin Nagar, Seba Susan |
| 2022 | DASFAA | Localized Metric Learning for Large Multi-class Extremely Imbalanced Face Database. | Seba Susan, Ashu Kaushik |
| 2022 | FlAIRS | TLMOTE: A Topic-based Language Modelling Approach for Text Oversampling. | Arjun Choudhry, Seba Susan, Anmol Bansal, Anubhav Sharma |
| 2022 | HIS | Pre-training Meets Clustering: A Hybrid Extractive Multi-document Summarization Model. | Akanksha Karotia, Seba Susan |
| 2022 | SAC | v-TCM: vertical-aware transformer click model for web search. | Kritarth Bisht, Seba Susan |
| 2021 | ACII | Emotion-Aware Transformer Encoder for Empathetic Dialogue Generation. | Raman Goel, Seba Susan, Sachin Vashisht, Armaan Dhanda |
| 2021 | SAC | Context- and sequence-aware convolutional recurrent encoder for neural machine translation. | Ritam Mallick, Seba Susan, Vaibhaw Agrawal, Rizul Garg, Prateek Rawal |
| 2020 | ICAISC | Speaker Recognition Using SincNet and X-Vector Fusion. | Mayank Tripathi, Divyanshu Singh, Seba Susan |
| 2019 | HPCC | Learning Data Space Transformation Matrix from Pruned Imbalanced Datasets for Nearest Neighbor Classification. | Seba Susan, Amitesh Kumar |
| 2019 | IBPRIA | Data Augmentation of Minority Class with Transfer Learning for Classification of Imbalanced Breast Cancer Dataset Using Inception-V3. | Manisha Saini, Seba Susan |
| 2018 | ISDA | Data Mining with Association Rules for Scheduling Open Elective Courses Using Optimization Algorithms. | Seba Susan, Aparna Bhutani |
| 2018 | ISDA | Hybrid of Intelligent Minority Oversampling and PSO-Based Intelligent Majority Undersampling for Learning from Imbalanced Datasets. | Seba Susan, Amitesh Kumar |