Łukasz Kidziński
Cited by
Cited by
Dynamic functional principal components
S Hörmann, Ł Kidziński, M Hallin
Journal of the Royal Statistical Society: Series B: Statistical Methodology …, 2015
MOOC video interaction patterns: What do they tell us?
N Li, Ł Kidziński, P Jermann, P Dillenbourg
Design for teaching and learning in a networked world, 197-210, 2015
How do in-video interactions reflect perceived video difficulty?
N Li, L Kidzinski, P Jermann, P Dillenbourg
Proceedings of the European MOOCs stakeholder summit 2015, 112-121, 2015
Translating head motion into attention-towards processing of student’s body-language
M Raca, L Kidzinski, P Dillenbourg
Proceedings of the 8th international conference on educational data mining, 2015
Multimodal teaching analytics: Automated extraction of orchestration graphs from wearable sensor data
LP Prieto, K Sharma, Ł Kidzinski, MJ Rodríguez‐Triana, P Dillenbourg
Journal of computer assisted learning 34 (2), 193-203, 2018
Introduction to smart learning analytics: foundations and developments in video-based learning
MN Giannakos, DG Sampson, L Kidziński
Learning to run challenge solutions: Adapting reinforcement learning methods for neuromusculoskeletal environments
Ł Kidziński, SP Mohanty, CF Ong, Z Huang, S Zhou, A Pechenko, ...
The NIPS'17 Competition: Building Intelligent Systems, 121-153, 2018
Learning to run challenge: Synthesizing physiologically accurate motion using deep reinforcement learning
Ł Kidziński, SP Mohanty, CF Ong, JL Hicks, SF Carroll, S Levine, ...
The NIPS'17 Competition: Building Intelligent Systems, 101-120, 2018
Automated human-level diagnosis of dysgraphia using a consumer tablet
T Asselborn, T Gargot, Ł Kidziński, W Johal, D Cohen, C Jolly, ...
NPJ digital medicine 1 (1), 1-9, 2018
Automatic real-time gait event detection in children using deep neural networks
Ł Kidziński, S Delp, M Schwartz
PloS one 14 (1), e0211466, 2019
Orchestration load indicators and patterns: In-the-wild studies using mobile eye-tracking
LP Prieto, K Sharma, Ł Kidzinski, P Dillenbourg
IEEE Transactions on Learning Technologies 11 (2), 216-229, 2017
How to quantify student’s regularity?
MS Boroujeni, K Sharma, Ł Kidziński, L Lucignano, P Dillenbourg
European conference on technology enhanced learning, 277-291, 2016
Semi-Markov Model for Simulating MOOC Students.
L Faucon, L Kidzinski, P Dillenbourg
International Educational Data Mining Society, 2016
A note on estimation in Hilbertian linear models
S Hörmann, Ł Kidziński
Scandinavian journal of statistics 42 (1), 43-62, 2015
A tutorial on machine learning in educational science
Ł Kidziński, M Giannakos, DG Sampson, P Dillenbourg
State-of-the-Art and Future Directions of Smart Learning, 453-459, 2016
Artificial intelligence for prosthetics: Challenge solutions
Ł Kidziński, C Ong, SP Mohanty, J Hicks, S Carroll, B Zhou, H Zeng, ...
The NeurIPS'18 Competition, 69-128, 2020
Semiautomatic annotation of MOOC forum posts
W Liu, Ł Kidziński, P Dillenbourg
State-of-the-art and future directions of smart learning, 399-408, 2016
Estimation in functional lagged regression
S Hörmann, Ł Kidziński, P Kokoszka
Journal of time series analysis 36 (4), 541-561, 2015
Deep neural networks enable quantitative movement analysis using single-camera videos
Ł Kidziński, B Yang, JL Hicks, A Rajagopal, SL Delp, MH Schwartz
Nature communications 11 (1), 1-10, 2020
On Generalizability of MOOC Models.
L Kidzinsk, K Sharma, MS Boroujeni, P Dillenbourg
International Educational Data Mining Society, 2016
The system can't perform the operation now. Try again later.
Articles 1–20