Riemannian Geometric Approaches for Measuring Movement Quality. - Anirudh Som; Rushil Anirudh; Qiao Wang; Pavan K. Turaga (CVPR Workshops, 2016)

Attractor-shape descriptors for balance impairment assessment in Parkinson's disease. - Anirudh Som; Narayanan Krishnamurthi; Vinay Venkataraman; Pavan K. Turaga (EMBC, 2016)

Multiscale evolution of attractor-shape descriptors for assessing Parkinson's disease severity. - Anirudh Som; Narayanan Krishnamurthi; Vinay Venkataraman; Karthikeyan Natesan Ramamurthy; Pavan K. Turaga (GlobalSIP, 2017)

Perturbation Robust Representations of Topological Persistence Diagrams. - Anirudh Som; Kowshik Thopalli; Karthikeyan Natesan Ramamurthy; Vinay Venkataraman; Ankita Shukla; Pavan K. Turaga (ECCV (7), 2018)

AMC-Loss: Angular Margin Contrastive Loss for Improved Explainability in Image Classification. - Hongjun Choi; Anirudh Som; Pavan K. Turaga (CVPR Workshops, 2020)

PI-Net: A Deep Learning Approach to Extract Topological Persistence Images. - Anirudh Som; Hongjun Choi; Karthikeyan Natesan Ramamurthy; Matthew P. Buman; Pavan K. Turaga (CVPR Workshops, 2020)

A Machine Learning Approach to Assess Student Group Collaboration Using Individual Level Behavioral Cues. - Anirudh Som; Sujeong Kim; Bladimir Lopez-Prado; Svati Dhamija; Nonye Alozie; Amir Tamrakar (ECCV Workshops (6), 2020)

Topological Descriptors for Parkinson's Disease Classification and Regression Analysis. - Afra Nawar; Farhan Rahman; Narayanan Krishnamurthi; Anirudh Som; Pavan K. Turaga (EMBC, 2020)

Unsupervised Pre-trained Models from Healthy ADLs Improve Parkinson's Disease Classification of Gait Patterns. - Anirudh Som; Narayanan Krishnamurthi; Matthew P. Buman; Pavan K. Turaga (EMBC, 2020)

Role of Orthogonality Constraints in Improving Properties of Deep Networks for Image Classification. - Hongjun Choi; Anirudh Som; Pavan K. Turaga (CoRR, 2020)

Building Invariant, Robust And Stable Machine Learning Systems Using Geometry and Topology. - Anirudh Som (2020)

Towards Explainable Student Group Collaboration Assessment Models Using Temporal Representations of Individual Student Roles. - Anirudh Som; Sujeong Kim; Bladimir Lopez-Prado; Svati Dhamija; Nonye Alozie; Amir Tamrakar (EDM, 2021)

Interpretable COVID-19 Chest X-Ray Classification via Orthogonality Constraint. - Ella Y. Wang; Anirudh Som; Ankita Shukla; Hongjun Choi; Pavan K. Turaga (CoRR, 2021)

Automated Student Group Collaboration Assessment and Recommendation System Using Individual Role and Behavioral Cues. - Anirudh Som; Sujeong Kim; Bladimir Lopez-Prado; Svati Dhamija; Nonye Alozie; Amir Tamrakar (Frontiers Comput. Sci., 2021)

Role of Data Augmentation Strategies in Knowledge Distillation for Wearable Sensor Data. - Eun Som Jeon; Anirudh Som; Ankita Shukla; Kristina Hasanaj; Matthew P. Buman; Pavan K. Turaga (IEEE Internet Things J., 2022)

Demonstrations Are All You Need: Advancing Offensive Content Paraphrasing using In-Context Learning. - Anirudh Som; Karan Sikka; Helen Gent; Ajay Divakaran; Andreas Kathol; Dimitra Vergyri (ACL (Findings), 2024)