| An optimal-score-based filter pruning for deep convolutional neural networks SS Sawant, J Bauer, FX Erick, S Ingaleshwar, N Holzer, A Ramming, ... Applied Intelligence 52 (15), 17557-17579, 2022 | 9 | 2022 |
| Number of necessary training examples for Neural Networks with different number of trainable parameters TI Götz, S Göb, S Sawant, XF Erick, T Wittenberg, C Schmidkonz, ... Journal of Pathology Informatics 13, 100114, 2022 | 9 | 2022 |
| Comparing ensemble methods combined with different aggregating models using micrograph cell segmentation as an initial application example S Sawant, FX Erick, C Schmidkonz, A Ramming, EW Lang, T Wittenberg, ... Journal of Pathology Informatics 14, 100304, 2023 | 2 | 2023 |
| Self-supervised representation learning using multimodal Transformer for emotion recognition T Goetz, P Arora, FX Erick, N Holzer, S Sawant Proceedings of the 8th international Workshop on Sensor-Based Activity …, 2023 | 1 | 2023 |
| Transformer-based Self-supervised Representation Learning for Emotion Recognition Using Bio-signal Feature Fusion SS Sawant, FX Erick, P Arora, J Pahl, A Foltyn, N Holzer, T Götz 2023 11th International Conference on Affective Computing and Intelligent …, 2023 | 1 | 2023 |
| A Simple and Effective Convolutional Filter Pruning based on Filter Dissimilarity Analysis. FX Erick, SS Sawant, S Göb, N Holzer, EW Lang, T Götz ICAART (3), 139-145, 2022 | 1 | 2022 |
| Stochastic Vision Transformers with Wasserstein Distance-Aware Attention F Xaverius Erick, M Rezaei, JP Müller, B Kainz arXiv e-prints, arXiv: 2311.18645, 2023 | | 2023 |
| Stochastic Vision Transformers with Wasserstein Distance-Aware Attention FX Erick, M Rezaei, JP Müller, B Kainz | | 2023 |
| An adaptive binary particle swarm optimization for solving multi-objective convolutional filter pruning problem SS Sawant, FX Erick, S Göb, N Holzer, EW Lang, T Götz The Journal of Supercomputing 79 (12), 13287-13306, 2023 | | 2023 |
Shrutika SawantScientific Researcher @ Fraunhofer IISVerified email at ritindia.edu
