Lukasz Kidzinski

According to our database, Lukasz Kidzinski authored at least 29 papers between 2015 and 2023.

Collaborative distances:

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

2023

OpenCap: Human movement dynamics from smartphone videos.

Scott D. Uhlrich, Antoine Falisse, Lukasz Kidzinski, Julie Muccini, Michael Ko, Akshay S. Chaudhari, Jennifer L. Hicks, Scott L. Delp

PLoS Comput. Biol., October, 2023

Smartphone videos of the sit-to-stand test predict osteoarthritis and health outcomes in a nationwide study.

Melissa A. Boswell, Lukasz Kidzinski, Jennifer L. Hicks, Scott D. Uhlrich, Antoine Falisse, Scott L. Delp

npj Digit. Medicine, 2023

2022

Generalized Matrix Factorization: efficient algorithms for fitting generalized linear latent variable models to large data arrays.

Lukasz Kidzinski, Francis K. C. Hui, David I. Warton, Trevor J. Hastie

J. Mach. Learn. Res., 2022

2021

Computational Challenges and Artificial Intelligence in Precision Medicine.

Olga Afanasiev, Joanne Berghout, Steven E. Brenner, Martha L. Bulyk, Dana C. Crawford, Jonathan H. Chen, Roxana Daneshjou, Lukasz Kidzinski

Proceedings of the Biocomputing 2021: Proceedings of the Pacific Symposium, 2021

2020

Open source software for automatic subregional assessment of knee cartilage degradation using quantitative T2 relaxometry and deep learning.

Kevin A. Thomas, Dominik Krzeminski, Lukasz Kidzinski, Rohan Paul, Elka B. Rubin, Eni Halilaj, Marianne S. Black, Akshay Chaudhari, Garry Gold, Scott L. Delp

CoRR, 2020

Generalized Matrix Factorization.

Lukasz Kidzinski, Francis K. C. Hui, David I. Warton, Trevor Hastie

CoRR, 2020

3D Pose Detection in Videos: Focusing on Occlusion.

Justin Wang, Edward Xu, Kangrui Xue, Lukasz Kidzinski

CoRR, 2020

Session Introduction.

Roxana Daneshjou, Lukasz Kidzinski, Olga Afanasiev, Jonathan H. Chen

Proceedings of the Pacific Symposium on Biocomputing 2020, 2020

2019

Reply: Limitations in the creation of an automatic diagnosis tool for dysgraphia.

Thibault Asselborn, Thomas Gargot, Lukasz Kidzinski, Wafa Johal, David Cohen, Caroline Jolly, Pierre Dillenbourg

npj Digit. Medicine, 2019

Modeling treatment events in disease progression.

Guanyang Wang, Yumeng Zhang, Yong Deng, Xuxin Huang, Lukasz Kidzinski

CoRR, 2019

Artificial Intelligence for Prosthetics - challenge solutions.

Lukasz Kidzinski, Carmichael F. Ong, Sharada Prasanna Mohanty, Jennifer L. Hicks, Sean F. Carroll, Bo Zhou, Hong-cheng Zeng, Fan Wang, Rongzhong Lian, Hao Tian, Wojciech Jaskowski, Garrett Andersen, Odd Rune Lykkebø, Nihat Engin Toklu, Pranav Shyam, Rupesh Kumar Srivastava, Sergey Kolesnikov, Oleksii Hrinchuk, Anton Pechenko, Mattias Ljungström, Zhen Wang, Xu Hu, Zehong Hu, Minghui Qiu, Jun Huang, Aleksei Shpilman, Ivan Sosin, Oleg Svidchenko, Aleksandra Malysheva, Daniel Kudenko, Lance Rane, Aditya Bhatt, Zhengfei Wang, Penghui Qi, Zeyang Yu, Peng Peng, Quan Yuan, Wenxin Li, Yunsheng Tian, Ruihan Yang, Pingchuan Ma, Shauharda Khadka, Somdeb Majumdar, Zach Dwiel, Yinyin Liu, Evren Tumer, Jeremy D. Watson, Marcel Salathé, Sergey Levine, Scott L. Delp

CoRR, 2019

2018

Orchestration Load Indicators and Patterns: In-the-Wild Studies Using Mobile Eye-Tracking.

Luis Pablo Prieto, Kshitij Sharma, Lukasz Kidzinski, Pierre Dillenbourg

IEEE Trans. Learn. Technol., 2018

Automated human-level diagnosis of dysgraphia using a consumer tablet.

Thibault Asselborn, Thomas Gargot, Lukasz Kidzinski, Wafa Johal, David Cohen, Caroline Jolly, Pierre Dillenbourg

npj Digit. Medicine, 2018

Multimodal teaching analytics: Automated extraction of orchestration graphs from wearable sensor data.

Luis Pablo Prieto, Kshitij Sharma, Lukasz Kidzinski, María Jesús Rodríguez-Triana, Pierre Dillenbourg

J. Comput. Assist. Learn., 2018

Longitudinal data analysis using matrix completion.

Lukasz Kidzinski, Trevor Hastie

CoRR, 2018

Learning to Run challenge solutions: Adapting reinforcement learning methods for neuromusculoskeletal environments.

Lukasz Kidzinski, Sharada Prasanna Mohanty, Carmichael F. Ong, Zhewei Huang, Shuchang Zhou, Anton Pechenko, Adam Stelmaszczyk, Piotr Jarosik, Mikhail Pavlov, Sergey Kolesnikov, Sergey M. Plis, Zhibo Chen, Zhizheng Zhang, Jiale Chen, Jun Shi, Zhuobin Zheng, Chun Yuan, Zhihui Lin, Henryk Michalewski, Piotr Milos, Blazej Osinski, Andrew Melnik, Malte Schilling, Helge J. Ritter, Sean F. Carroll, Jennifer L. Hicks, Sergey Levine, Marcel Salathé, Scott L. Delp

CoRR, 2018

Learning to Run challenge: Synthesizing physiologically accurate motion using deep reinforcement learning.

Lukasz Kidzinski, Sharada P. Mohanty, Carmichael F. Ong, Jennifer L. Hicks, Sean F. Carroll, Sergey Levine, Marcel Salathé, Scott L. Delp

CoRR, 2018

2017

SweetRS: Dataset for a recommender systems of sweets.

Lukasz Kidzinski

CoRR, 2017

Learning styles: Literature versus machine learning.

Farah Bouassida, Lukasz Kidzinski, Pierre Dillenbourg

CoRR, 2017

2016

Introduction to smart learning analytics: foundations and developments in video-based learning.

Michail N. Giannakos, Demetrios G. Sampson, Lukasz Kidzinski

Smart Learn. Environ., 2016

Enhancing Video-Based Learning Experience through Smart Environments and Analytics.

Michail N. Giannakos, Demetrios G. Sampson, Lukasz Kidzinski, Abelardo Pardo

Proceedings of the LAK 2016 Workshop on Smart Environments and Analytics in Video-Based Learning, 2016

Smart environments and analytics on video-based learning.

Michail N. Giannakos, Demetrios G. Sampson, Lukasz Kidzinski, Abelardo Pardo

Proceedings of the Sixth International Conference on Learning Analytics & Knowledge, 2016

On generalizability of MOOC models.

Lukasz Kidzinski, Kshitij Sharma, Mina Shirvani Boroujeni, Pierre Dillenbourg

Proceedings of the 9th International Conference on Educational Data Mining, 2016

Semi-Markov model for simulating MOOC students.

Louis Faucon, Lukasz Kidzinski, Pierre Dillenbourg

Proceedings of the 9th International Conference on Educational Data Mining, 2016

How employment constrains participation in MOOCs?

Mina Shirvani Boroujeni, Lukasz Kidzinski, Pierre Dillenbourg

Proceedings of the 9th International Conference on Educational Data Mining, 2016

How to Quantify Student's Regularity?

Mina Shirvani Boroujeni, Kshitij Sharma, Lukasz Kidzinski, Lorenzo Lucignano, Pierre Dillenbourg

Proceedings of the Adaptive and Adaptable Learning, 2016

2015

Augmenting Collaborative MOOC Video Viewing with Synchronized Textbook.

Nan Li, Lukasz Kidzinski, Pierre Dillenbourg

Proceedings of the Human-Computer Interaction - INTERACT 2015, 2015

Translating Head Motion into Attention - Towards Processing of Student's Body-Language.

Mirko Raca, Lukasz Kidzinski, Pierre Dillenbourg

Proceedings of the 8th International Conference on Educational Data Mining, 2015

MOOC Video Interaction Patterns: What Do They Tell Us?

Nan Li, Lukasz Kidzinski, Patrick Jermann, Pierre Dillenbourg

Proceedings of the Design for Teaching and Learning in a Networked World, 2015