| Pi-net: A deep learning approach to extract topological persistence images A Som, H Choi, KN Ramamurthy, MP Buman, P Turaga Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 38 | 2020 |
| AMC-loss: Angular margin contrastive loss for improved explainability in image classification H Choi, A Som, P Turaga Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 32 | 2020 |
| Attractor-shape Descriptors for Balance Impairment Assessment in Parkinson’s Disease A Som, N Krishnamurthi, V Venkataraman, P Turaga 38th Annual International Conference of the IEEE Engineering in Medicine and …, 0 | 22* | |
| Unsupervised pre-trained models from healthy ADLs improve Parkinson’s disease classification of gait patterns A Som, N Krishnamurthi, M Buman, P Turaga 2020 42nd Annual International Conference of the IEEE Engineering in …, 2020 | 21 | 2020 |
| Perturbation robust representations of topological persistence diagrams A Som, K Thopalli, KN Ramamurthy, V Venkataraman, A Shukla, ... Proceedings of the European Conference on Computer Vision (ECCV), 617-635, 2018 | 19 | 2018 |
| Topological descriptors for parkinson’s disease classification and regression analysis A Nawar, F Rahman, N Krishnamurthi, A Som, P Turaga 2020 42nd annual international conference of the IEEE engineering in …, 2020 | 17 | 2020 |
| Role of data augmentation strategies in knowledge distillation for wearable sensor data ES Jeon, A Som, A Shukla, K Hasanaj, MP Buman, P Turaga IEEE internet of things journal 9 (14), 12848-12860, 2021 | 15 | 2021 |
| Role of orthogonality constraints in improving properties of deep networks for image classification H Choi, A Som, P Turaga arXiv preprint arXiv:2009.10762, 2020 | 10 | 2020 |
| A machine learning approach to assess student group collaboration using individual level behavioral cues A Som, S Kim, B Lopez-Prado, S Dhamija, N Alozie, A Tamrakar Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020 | 8 | 2020 |
| Riemannian Geometric Approaches for Measuring Movement Quality A Som, R Anirudh, Q Wang, P Turaga Second International Workshop on Differential Geometry in Computer Vision …, 0 | 7* | |
| Multiscale evolution of attractor-shape descriptors for assessing Parkinson's disease severity A Som, N Krishnamurthi, V Venkataraman, KN Ramamurthy, P Turaga 2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2017 | 6 | 2017 |
| Automated Student Group Collaboration Assessment and Recommendation System Using Individual Role and Behavioral Cues A Som, S Kim, B Lopez-Prado, S Dhamija, N Alozie, A Tamrakar Frontiers in Computer Science 3 (2624-9898), 86, 2021 | 5 | 2021 |
| Geometric metrics for topological representations A Som, KN Ramamurthy, P Turaga Handbook of Variational Methods for Nonlinear Geometric Data, 415-441, 2020 | 4 | 2020 |
| Demonstrations are all you need: Advancing offensive content paraphrasing using in-context learning A Som, K Sikka, H Gent, A Divakaran, A Kathol, D Vergyri arXiv preprint arXiv:2310.10707, 2023 | 3 | 2023 |
| Interpretable COVID-19 chest x-ray classification via orthogonality constraint EY Wang, A Som, A Shukla, H Choi, P Turaga arXiv preprint arXiv:2102.08360, 2021 | 3 | 2021 |
| Automated collaboration skills assessment S Dhamija, A Tamrakar, NM Alozie, E McBride, A Divakaran, A Som, ... US Patent App. 17/348,588, 2021 | 2 | 2021 |
| Towards Explainable Student Group Collaboration Assessment Models Using Temporal Representations of Individual Student Roles A Som, S Kim, B Lopez-Prado, S Dhamija, N Alozie, A Tamrakar arXiv preprint arXiv:2106.09623, 2021 | 2 | 2021 |
| Investigating the relationship among solution quality, group variability in science confidence, and reciprocal participation in online science collaborative problem-solving tasks. A Rachmatullah Proceedings of the 16th International Conference of the Learning Sciences …, 2022 | | 2022 |
| Exploring the process of group-based collaboration: a validation argument for a collaboration model and observation rubric for training explainable machine learning models. N Alozie Proceedings of the 16th International Conference of the Learning Sciences …, 2022 | | 2022 |
| Building Invariant, Robust And Stable Machine Learning Systems Using Geometry and Topology A Som Arizona State University, 2020 | | 2020 |
Pavan TuragaGeometric Media Lab, Arizona State University在 asu.edu 的电子邮件经过验证
