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Anirudh Som
Anirudh Som
Advanced Computer Scientist, SRI International
Geverifieerd e-mailadres voor sri.com
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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
372020
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
292020
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
192020
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
182018
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
162020
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
122021
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
112020
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*
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
62020
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
62017
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
42021
Geometric metrics for topological representations
A Som, KN Ramamurthy, P Turaga
Handbook of Variational Methods for Nonlinear Geometric Data, 415-441, 2020
42020
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
32021
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
22023
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
22021
Automated collaboration skills assessment
S Dhamija, A Tamrakar, NM Alozie, E McBride, A Divakaran, A Som, ...
US Patent App. 17/348,588, 2021
12021
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
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Artikelen 1–20