Anirudh Som

According to our database, Anirudh Som authored at least 16 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

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

CoRR, 2023

2022

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

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

Interpretable COVID-19 Chest X-Ray Classification via Orthogonality Constraint.

Ella Y. Wang, Anirudh Som, Ankita Shukla, Hongjun Choi, Pavan K. Turaga

CoRR, 2021

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

Proceedings of the 14th International Conference on Educational Data Mining, 2021

2020

Building Invariant, Robust And Stable Machine Learning Systems Using Geometry and Topology.

Anirudh Som

PhD thesis, 2020

Role of Orthogonality Constraints in Improving Properties of Deep Networks for Image Classification.

Hongjun Choi, Anirudh Som, Pavan K. Turaga

CoRR, 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

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Topological Descriptors for Parkinson's Disease Classification and Regression Analysis.

Afra Nawar, Farhan Rahman, Narayanan Krishnamurthi, Anirudh Som, Pavan K. Turaga

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 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

Proceedings of the Computer Vision - ECCV 2020 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

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

AMC-Loss: Angular Margin Contrastive Loss for Improved Explainability in Image Classification.

Hongjun Choi, Anirudh Som, Pavan K. Turaga

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2018

Perturbation Robust Representations of Topological Persistence Diagrams.

Anirudh Som, Kowshik Thopalli, Karthikeyan Natesan Ramamurthy, Vinay Venkataraman, Ankita Shukla, Pavan K. Turaga

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

Multiscale evolution of attractor-shape descriptors for assessing Parkinson's disease severity.

Anirudh Som, Narayanan Krishnamurthi, Vinay Venkataraman, Karthikeyan Natesan Ramamurthy, Pavan K. Turaga

Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

2016

Attractor-shape descriptors for balance impairment assessment in Parkinson's disease.

Anirudh Som, Narayanan Krishnamurthi, Vinay Venkataraman, Pavan K. Turaga

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Riemannian Geometric Approaches for Measuring Movement Quality.

Anirudh Som, Rushil Anirudh, Qiao Wang, Pavan K. Turaga

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016