@article{doctor2025deep,title={Deep learning diagnosis plus kinematic severity assessments of neurodivergent disorders},author={Doctor, Khoshrav P and McKeever, Chaundy and Wu, Di and Phadnis, Aditya and Plawecki, Martin H and Nurnberger Jr, John I and Jos{\'e}, Jorge V},journal={Scientific Reports},volume={15},number={1},pages={20269},year={2025},publisher={Nature Publishing Group UK London},}
Deep Learning and Statistical longitudinal medication studies of attention-deficit/hyperactivity disorder of (ADHD) participants
Jorge V Jose, Khoshrav Doctor, and Chaundy Lee McKeever
@inproceedings{jose2025deep,title={Deep Learning and Statistical longitudinal medication studies of attention-deficit/hyperactivity disorder of (ADHD) participants},author={Jose, Jorge V and Doctor, Khoshrav and McKeever, Chaundy Lee},booktitle={SMT 2025},year={2025},}
2023
A family of neurodevelopmental biomarkers extracted from a statistical analysis of kinematic data measured with high-definition sensors
Jorge Jose, Khoshrav Doctor, Aditya Phadnis, and 2 more authors
@inproceedings{jose2023family,title={A family of neurodevelopmental biomarkers extracted from a statistical analysis of kinematic data measured with high-definition sensors},author={Jose, Jorge and Doctor, Khoshrav and Phadnis, Aditya and McKeever, Chaundy and Plawecki, Martin},booktitle={APS March Meeting Abstracts},volume={2023},pages={A11--013},year={2023},}
2022
Deep Learning Diagnostic Analysis of the kinematic movement data recorded from individuals with Neurodevelopmental Disorders
Khoshrav Doctor, Di Wu, Aditya Phadnis, and 3 more authors
@inproceedings{doctor2022deep,title={Deep Learning Diagnostic Analysis of the kinematic movement data recorded from individuals with Neurodevelopmental Disorders},author={Doctor, Khoshrav and Wu, Di and Phadnis, Aditya and Plawecki, Martin and Nurnberger Jr, John and Jose, Jorge},booktitle={APS March Meeting Abstracts},volume={2022},pages={D03--003},year={2022},}
Learning Intrinsically Motivated Transition Models for Autonomous Systems
@inproceedings{doctor2022learning,title={Learning Intrinsically Motivated Transition Models for Autonomous Systems},author={Doctor, Khoshrav and Ghosh, Hia and Grupen, Roderic},booktitle={2022 IEEE International Conference on Development and Learning (ICDL)},pages={9--14},year={2022},organization={IEEE},}
Evaluating Sensorimotor Abstraction on Curricula for Learning Mobile Manipulation Skills
Oscar Youngquist, Alenna Spiro, Khoshrav Doctor, and 1 more author
In 2022 IEEE International Conference on Development and Learning (ICDL), 2022
@inproceedings{youngquist2022evaluating,title={Evaluating Sensorimotor Abstraction on Curricula for Learning Mobile Manipulation Skills},author={Youngquist, Oscar and Spiro, Alenna and Doctor, Khoshrav and Grupen, Roderic},booktitle={2022 IEEE International Conference on Development and Learning (ICDL)},pages={75--80},year={2022},organization={IEEE},}
2021
Statistical Motor Biomarkers Characterizing age-dependence in Neurodevelopmental Disorders
Khoshrav Doctor, Di Wu, Aditya Phadnis, and 3 more authors
@inproceedings{doctor2021statistical,title={Statistical Motor Biomarkers Characterizing age-dependence in Neurodevelopmental Disorders},author={Doctor, Khoshrav and Wu, Di and Phadnis, Aditya and Nurnberger, John and Plawecki, Martin and Jose, Jorge},booktitle={APS March Meeting Abstracts},volume={2021},pages={S12--015},year={2021},}
2019
Demystifying multi-faceted video summarization: tradeoff between diversity, representation, coverage and importance
@inproceedings{kaushal2019demystifying,title={Demystifying multi-faceted video summarization: tradeoff between diversity, representation, coverage and importance},author={Kaushal, Vishal and Iyer, Rishabh and Doctor, Khoshrav and Sahoo, Anurag and Dubal, Pratik and Kothawade, Suraj and Mahadev, Rohan and Dargan, Kunal and Ramakrishnan, Ganesh},booktitle={2019 IEEE Winter Conference on Applications of Computer Vision (WACV)},pages={452--461},year={2019},organization={IEEE},}
Learning From Less Data: A Unified Data Subset Selection and Active Learning Framework for Computer Vision
@inproceedings{kaushal2019learning,title={Learning From Less Data: A Unified Data Subset Selection and Active Learning Framework for Computer Vision},author={Kaushal, Vishal and Iyer, Rishabh and Kothawade, Suraj and Mahadev, Rohan and Doctor, Khoshrav and Ramakrishnan, Ganesh},booktitle={2019 IEEE Winter Conference on Applications of Computer Vision (WACV)},pages={1289--1299},year={2019},organization={IEEE},}
2018
Learning from less data: Diversified subset selection and active learning in image classification tasks
Vishal Kaushal, Anurag Sahoo, Khoshrav Doctor, and 5 more authors
@article{kaushal2018learning,title={Learning from less data: Diversified subset selection and active learning in image classification tasks},author={Kaushal, Vishal and Sahoo, Anurag and Doctor, Khoshrav and Raju, Narasimha and Shetty, Suyash and Singh, Pankaj and Iyer, Rishabh and Ramakrishnan, Ganesh},journal={arXiv preprint arXiv:1805.11191},year={2018},}
2017
A unified multi-faceted video summarization system
Anurag Sahoo, Vishal Kaushal, Khoshrav Doctor, and 3 more authors
@article{sahoo2017unified,title={A unified multi-faceted video summarization system},author={Sahoo, Anurag and Kaushal, Vishal and Doctor, Khoshrav and Shetty, Suyash and Iyer, Rishabh and Ramakrishnan, Ganesh},journal={arXiv preprint arXiv:1704.01466},year={2017},}
2016
PowerShare: A distributed processing system for Android devices
Vignesh Pradeep Kumar, Shubham Jayawant, Khoshrav Doctor, and 1 more author
In 2016 International Conference on Communication and Electronics Systems (ICCES), 2016
@inproceedings{kumar2016powershare,title={PowerShare: A distributed processing system for Android devices},author={Kumar, Vignesh Pradeep and Jayawant, Shubham and Doctor, Khoshrav and Vidhani, Sanjay},booktitle={2016 International Conference on Communication and Electronics Systems (ICCES)},pages={1--5},year={2016},organization={IEEE},}