Publications

2025

  1. Machine learning model prompt demonstration selection
    Anirudh Som, Karan Sikka, Ajay Divakaran, and 3 more authors
    Apr 2025
    US Patent App. 18/916,442

2024

  1. AUTOMATED IDENTIFICATION OF NECROTIC REGIONS IN DIGITAL IMAGES OF MULTIPLEX IMMUNOFLUORESCENCE STAINED TISSUE
    Jessica Baumann, Mehrnoush Khojasteh, Fahime Sheikhzadeh, and 3 more authors
    Dec 2024
    US Patent App. 18/159,619

2023

  1. Demonstrations are all you need: Advancing offensive content paraphrasing using in-context learning
    Anirudh Som, Karan Sikka, Helen Gent, and 3 more authors
    arXiv preprint arXiv:2310.10707, Dec 2023

2022

  1. Federated learning system for training machine learning algorithms and maintaining patient privacy
    Faranak Aghaei, Nidhin Murari, Jim F Martin, and 3 more authors
    Nov 2022
    US Patent App. 17/864,233
  2. Investigating the relationship among solution quality, group variability in science confidence, and reciprocal participation in online science collaborative problem-solving tasks.
    In Proceedings of the 16th International Conference of the Learning Sciences–ICLS 2022, Nov 2022
  3. Exploring the process of group-based collaboration: a validation argument for a collaboration model and observation rubric for training explainable machine learning models.
    In Proceedings of the 16th International Conference of the Learning Sciences-ICLS 2022, Nov 2022

2021

  1. Role of data augmentation strategies in knowledge distillation for wearable sensor data
    Eun Som Jeon, Anirudh Som, Ankita Shukla, and 3 more authors
    IEEE internet of things journal, Nov 2021
  2. Automated student group collaboration assessment and recommendation system using individual role and behavioral cues
    Anirudh Som, Sujeong Kim, Bladimir Lopez-Prado, and 3 more authors
    Frontiers in Computer Science, Nov 2021
  3. Automated collaboration skills assessment
    Swati Dhamija, Amir Tamrakar, Nonye M Alozie, and 5 more authors
    Dec 2021
    US Patent App. 17/348,588
  4. Interpretable COVID-19 chest x-ray classification via orthogonality constraint
    Ella Y Wang, Anirudh Som, Ankita Shukla, and 2 more authors
    arXiv preprint arXiv:2102.08360, Dec 2021
  5. Towards Explainable Student Group Collaboration Assessment Models Using Temporal Representations of Individual Student Roles
    Anirudh Som, Sujeong Kim, Bladimir Lopez-Prado, and 3 more authors
    arXiv preprint arXiv:2106.09623, Dec 2021

2020

  1. Pi-net: A deep learning approach to extract topological persistence images
    Anirudh Som, Hongjun Choi, Karthikeyan Natesan Ramamurthy, and 2 more authors
    In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition workshops, Dec 2020
  2. Amc-loss: Angular margin contrastive loss for improved explainability in image classification
    Hongjun Choi, Anirudh Som, and Pavan Turaga
    In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition workshops, Dec 2020
  3. Topological descriptors for parkinson’s disease classification and regression analysis
    Afra Nawar, Farhan Rahman, Narayanan Krishnamurthi, and 2 more authors
    In 2020 42nd annual international conference of the IEEE engineering in medicine & biology society (EMBC), Dec 2020
  4. Unsupervised pre-trained models from healthy ADLs improve Parkinson’s disease classification of gait patterns
    Anirudh Som, Narayanan Krishnamurthi, Matthew Buman, and 1 more author
    In 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Dec 2020
  5. Role of orthogonality constraints in improving properties of deep networks for image classification
    Hongjun Choi, Anirudh Som, and Pavan Turaga
    arXiv preprint arXiv:2009.10762, Dec 2020
  6. A machine learning approach to assess student group collaboration using individual level behavioral cues
    Anirudh Som, Sujeong Kim, Bladimir Lopez-Prado, and 3 more authors
    In Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020, Proceedings, Part VI 16, Dec 2020
  7. Geometric metrics for topological representations
    Anirudh Som, Karthikeyan Natesan Ramamurthy, and Pavan Turaga
    In Handbook of Variational Methods for Nonlinear Geometric Data, Dec 2020
  8. Building Invariant, Robust and Stable Machine Learning Systems Using Geometry and Topology
    Anirudh Som
    Arizona State University, Dec 2020

2018

  1. Perturbation robust representations of topological persistence diagrams
    Anirudh Som, Kowshik Thopalli, Karthikeyan Natesan Ramamurthy, and 3 more authors
    In Proceedings of the European Conference on Computer Vision (ECCV), Dec 2018

2017

  1. Multiscale evolution of attractor-shape descriptors for assessing Parkinson’s disease severity
    Anirudh Som, Narayanan Krishnamurthi, Vinay Venkataraman, and 2 more authors
    In 2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP), Dec 2017

2016

  1. Attractor-shape descriptors for balance impairment assessment in Parkinson’s disease
    Anirudh Som, Narayanan Krishnamurthi, Vinay Venkataraman, and 1 more author
    In 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Dec 2016
  2. Riemannian geometric approaches for measuring movement quality
    Anirudh Som, Rushil Anirudh, Qiao Wang, and 1 more author
    In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, Dec 2016
  3. Geometric Approaches for Modeling Movement Quality: Applications in Motor Control and Therapy
    Anirudh Som
    Dec 2016