Anirudh Som

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 24

Top Topics

Individual Level

Image Classification

Cscl Environments

Top Venues

Publications

Anirudh Som, Karan Sikka, Helen Gent, Ajay Divakaran, Andreas Kathol, Dimitra Vergyri
Demonstrations Are All You Need: Advancing Offensive Content Paraphrasing using In-Context Learning. ACL (Findings) (2024)
Anirudh Som, Karan Sikka, Helen Gent, Ajay Divakaran, Andreas Kathol, Dimitra Vergyri
Demonstrations Are All You Need: Advancing Offensive Content Paraphrasing using In-Context Learning. CoRR (2023)
Eun Som Jeon, Anirudh Som, Ankita Shukla, Kristina Hasanaj, Matthew P. Buman, Pavan Turaga
Role of Data Augmentation Strategies in Knowledge Distillation for Wearable Sensor Data. IEEE Internet Things J. 9 (14) (2022)
Eun Som Jeon, Anirudh Som, Ankita Shukla, Kristina Hasanaj, Matthew P. Buman, Pavan Turaga
Role of Data Augmentation Strategies in Knowledge Distillation for Wearable Sensor Data. CoRR (2022)
Anirudh Som, Sujeong Kim, Bladimir Lopez-Prado, Svati Dhamija, Nonye Alozie, Amir Tamrakar
Towards Explainable Student Group Collaboration Assessment Models Using Temporal Representations of Individual Student Roles. CoRR (2021)
Anirudh Som, Sujeong Kim, Bladimir Lopez-Prado, Svati Dhamija, Nonye Alozie, Amir Tamrakar
Automated Student Group Collaboration Assessment and Recommendation System Using Individual Role and Behavioral Cues. Frontiers Comput. Sci. 3 (2021)
Ella Y. Wang, Anirudh Som, Ankita Shukla, Hongjun Choi, Pavan K. Turaga
Interpretable COVID-19 Chest X-Ray Classification via Orthogonality Constraint. CoRR (2021)
Anirudh Som, Sujeong Kim, Bladimir Lopez-Prado, Svati Dhamija, Nonye Alozie, Amir Tamrakar
Towards Explainable Student Group Collaboration Assessment Models Using Temporal Representations of Individual Student Roles. EDM (2021)
Anirudh Som, Sujeong Kim, Bladimir Lopez-Prado, Svati Dhamija, Nonye Alozie, Amir Tamrakar
A Machine Learning Approach to Assess Student Group Collaboration Using Individual Level Behavioral Cues. CoRR (2020)
Hongjun Choi, Anirudh Som, Pavan K. Turaga
AMC-Loss: Angular Margin Contrastive Loss for Improved Explainability in Image Classification. CVPR Workshops (2020)
Anirudh Som, Hongjun Choi, Karthikeyan Natesan Ramamurthy, Matthew P. Buman, Pavan K. Turaga
PI-Net: A Deep Learning Approach to Extract Topological Persistence Images. CVPR Workshops (2020)
Afra Nawar, Farhan Rahman, Narayanan Krishnamurthi, Anirudh Som, Pavan K. Turaga
Topological Descriptors for Parkinson's Disease Classification and Regression Analysis. CoRR (2020)
Anirudh Som, Sujeong Kim, Bladimir Lopez-Prado, Svati Dhamija, Nonye Alozie, Amir Tamrakar
A Machine Learning Approach to Assess Student Group Collaboration Using Individual Level Behavioral Cues. ECCV Workshops (6) (2020)
Afra Nawar, Farhan Rahman, Narayanan Krishnamurthi, Anirudh Som, Pavan K. Turaga
Topological Descriptors for Parkinson's Disease Classification and Regression Analysis. EMBC (2020)
Anirudh Som, Narayanan Krishnamurthi, Matthew P. Buman, Pavan K. Turaga
Unsupervised Pre-trained Models from Healthy ADLs Improve Parkinson's Disease Classification of Gait Patterns. CoRR (2020)
Anirudh Som, Narayanan Krishnamurthi, Matthew P. Buman, Pavan K. Turaga
Unsupervised Pre-trained Models from Healthy ADLs Improve Parkinson's Disease Classification of Gait Patterns. EMBC (2020)
Hongjun Choi, Anirudh Som, Pavan K. Turaga
Role of Orthogonality Constraints in Improving Properties of Deep Networks for Image Classification. CoRR (2020)
Hongjun Choi, Anirudh Som, Pavan K. Turaga
AMC-Loss: Angular Margin Contrastive Loss for Improved Explainability in Image Classification. CoRR (2020)
Anirudh Som, Hongjun Choi, Karthikeyan Natesan Ramamurthy, Matthew P. Buman, Pavan K. Turaga
PI-Net: A Deep Learning Approach to Extract Topological Persistence Images. CoRR (2019)
Anirudh Som, Kowshik Thopalli, Karthikeyan Natesan Ramamurthy, Vinay Venkataraman, Ankita Shukla, Pavan K. Turaga
Perturbation Robust Representations of Topological Persistence Diagrams. ECCV (7) (2018)
Anirudh Som, Kowshik Thopalli, Karthikeyan Natesan Ramamurthy, Vinay Venkataraman, Ankita Shukla, Pavan K. Turaga
Perturbation Robust Representations of Topological Persistence Diagrams. CoRR (2018)
Anirudh Som, Narayanan Krishnamurthi, Vinay Venkataraman, Karthikeyan Natesan Ramamurthy, Pavan K. Turaga
Multiscale evolution of attractor-shape descriptors for assessing Parkinson's disease severity. GlobalSIP (2017)
Anirudh Som, Narayanan Krishnamurthi, Vinay Venkataraman, Pavan K. Turaga
Attractor-shape descriptors for balance impairment assessment in Parkinson's disease. EMBC (2016)
Anirudh Som, Rushil Anirudh, Qiao Wang, Pavan K. Turaga
Riemannian Geometric Approaches for Measuring Movement Quality. CVPR Workshops (2016)