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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, и A. Tamrakar. ECCV Workshops (6), том 12540 из Lecture Notes in Computer Science, стр. 79-94. Springer, (2020)

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Anirudh Ramachandran

Oliver Som

Som Dutt

Sunipa Som

Som Subhra Chatterjee

Другие публикации лиц с тем же именем

Demonstrations Are All You Need: Advancing Offensive Content Paraphrasing using In-Context Learning.A. Som, K. Sikka, H. Gent, A. Divakaran, A. Kathol, и D. Vergyri. CoRR, (2023)PI-Net: A Deep Learning Approach to Extract Topological Persistence Images.A. Som, H. Choi, K. Ramamurthy, M. Buman, и P. Turaga. CoRR, (2019)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, и A. Tamrakar. ECCV Workshops (6), том 12540 из Lecture Notes in Computer Science, стр. 79-94. Springer, (2020)Unsupervised Pre-trained Models from Healthy ADLs Improve Parkinson's Disease Classification of Gait Patterns.A. Som, N. Krishnamurthi, M. Buman, и P. Turaga. EMBC, стр. 784-788. IEEE, (2020)Riemannian Geometric Approaches for Measuring Movement Quality.A. Som, R. Anirudh, Q. Wang, и P. Turaga. CVPR Workshops, стр. 1005. IEEE Computer Society, (2016)Topological Descriptors for Parkinson's Disease Classification and Regression Analysis.A. Nawar, F. Rahman, N. Krishnamurthi, A. Som, и P. Turaga. EMBC, стр. 793-797. IEEE, (2020)Perturbation Robust Representations of Topological Persistence Diagrams.A. Som, K. Thopalli, K. Ramamurthy, V. Venkataraman, A. Shukla, и P. Turaga. ECCV (7), том 11211 из Lecture Notes in Computer Science, стр. 638-659. Springer, (2018)Role of Orthogonality Constraints in Improving Properties of Deep Networks for Image Classification.H. Choi, A. Som, и P. Turaga. CoRR, (2020)Interpretable COVID-19 Chest X-Ray Classification via Orthogonality Constraint.E. Wang, A. Som, A. Shukla, H. Choi, и P. Turaga. CoRR, (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, и A. Tamrakar. EDM, International Educational Data Mining Society, (2021)

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