| Fuzzy rule based unsupervised sentiment analysis from social media posts S Vashishtha, S Susan Expert Systems with Applications 138, 112834, 2019 | 198 | 2019 |
| COVID-19 pandemic prediction using time series forecasting models N Kumar, S Susan 2020 11th international conference on computing, communication and …, 2020 | 129 | 2020 |
| Deep transfer with minority data augmentation for imbalanced breast cancer dataset M Saini, S Susan Applied Soft Computing 97, 106759, 2020 | 125 | 2020 |
| The balancing trick: Optimized sampling of imbalanced datasets—A brief survey of the recent State of the Art S Susan, A Kumar Engineering Reports 3 (4), e12298, 2021 | 117 | 2021 |
| Automatic texture defect detection using Gaussian mixture entropy modeling S Susan, M Sharma Neurocomputing 239, 232-237, 2017 | 93 | 2017 |
| A simple single seeded region growing algorithm for color image segmentation using adaptive thresholding OP Verma, M Hanmandlu, S Susan, M Kulkarni, PK Jain 2011 International Conference on Communication Systems and Network …, 2011 | 91 | 2011 |
| SSOMaj-SMOTE-SSOMin: Three-step intelligent pruning of majority and minority samples for learning from imbalanced datasets S Susan, A Kumar Applied Soft Computing 78, 141-149, 2019 | 65 | 2019 |
| Color segmentation by fuzzy co-clustering of chrominance color features M Hanmandlu, OP Verma, S Susan, VK Madasu Neurocomputing 120, 235-249, 2013 | 63 | 2013 |
| A non-extensive entropy feature and its application to texture classification S Susan, M Hanmandlu Neurocomputing 120, 214-225, 2013 | 62 | 2013 |
| Particle swarm optimization of partitions and fuzzy order for fuzzy time series forecasting of COVID-19 N Kumar, S Susan Applied Soft Computing 110, 107611, 2021 | 57 | 2021 |
| Highlighting keyphrases using senti-scoring and fuzzy entropy for unsupervised sentiment analysis S Vashishtha, S Susan Expert Systems with Applications 169, 114323, 2021 | 46 | 2021 |
| An adaptive single seed based region growing algorithm for color image segmentation PK Jain, S Susan 2013 Annual IEEE India Conference (INDICON), 1-6, 2013 | 45 | 2013 |
| Diabetic retinopathy screening using deep learning for multi-class imbalanced datasets M Saini, S Susan Computers in Biology and Medicine 149, 105989, 2022 | 44 | 2022 |
| New shape descriptor in the context of edge continuity S Susan, P Agrawal, M Mittal, S Bansal CAAI Transactions on Intelligence Technology 4 (2), 101-109, 2019 | 44 | 2019 |
| Vggin-net: Deep transfer network for imbalanced breast cancer dataset M Saini, S Susan IEEE/ACM Transactions on Computational Biology and Bioinformatics 20 (1 …, 2022 | 43 | 2022 |
| Data augmentation of minority class with transfer learning for classification of imbalanced breast cancer dataset using inception-V3 M Saini, S Susan Pattern Recognition and Image Analysis: 9th Iberian Conference, IbPRIA 2019 …, 2019 | 42 | 2019 |
| Inferring sentiments from supervised classification of text and speech cues using fuzzy rules S Vashishtha, S Susan Procedia Computer Science 167, 1370-1379, 2020 | 33 | 2020 |
| Fuzzy interpretation of word polarity scores for unsupervised sentiment analysis S Vashishtha, S Susan 2020 11th international conference on computing, communication and …, 2020 | 32 | 2020 |
| An empathetic conversational agent with attentional mechanism R Goel, S Vashisht, A Dhanda, S Susan 2021 International Conference on Computer Communication and Informatics …, 2021 | 30 | 2021 |
| Unsupervised detection of nonlinearity in motion using weighted average of non-extensive entropies S Susan, M Hanmandlu Signal, Image and Video Processing 9 (3), 511-525, 2015 | 30 | 2015 |
