Követés
Nicholas Hoernle
Nicholas Hoernle
University of Edinburgh, Harvard University
E-mail megerősítve itt: sms.ed.ac.uk - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
Multiplexnet: Towards fully satisfied logical constraints in neural networks
N Hoernle, RM Karampatsis, V Belle, K Gal
Proceedings of the AAAI conference on artificial intelligence 36 (5), 5700-5709, 2022
432022
# confused and beyond: Detecting confusion in course forums using students' hashtags
SA Geller, N Hoernle, K Gal, A Segal, AX Zhang, D Karger, MT Facciotti, ...
Proceedings of the Tenth International Conference on Learning Analytics …, 2020
152020
One size does not fit all: Badge behavior in q&a sites
S Yanovsky, N Hoernle, O Lev, K Gal
Proceedings of the 27th ACM conference on user modeling, adaptation and …, 2019
152019
One size does not fit all: A study of badge behavior in stack overflow
S Yanovsky, N Hoernle, O Lev, K Gal
Journal of the Association for Information Science and Technology 72 (3 …, 2021
142021
Detecting Creativity in an Open Ended Geometry Environment.
R Shillo, N Hoernle, K Gal
International Educational Data Mining Society, 2019
82019
New methods for confusion detection in course forums: student, teacher, and machine
SA Geller, K Gal, A Segal, K Sripathi, HG Kim, MT Facciotti, M Igo, ...
IEEE Transactions on Learning Technologies 14 (5), 665-679, 2021
72021
Modeling the Effects of Students' Interactions with Immersive Simulations Using Markov Switching Systems.
N Hoernle, K Gal, B Grosz, P Protopapas, A Rubin
International Educational Data Mining Society, 2018
72018
The phantom steering effect in Q&A websites
N Hoernle, G Kehne, AD Procaccia, K Gal
Knowledge and Information Systems 64 (2), 475-506, 2022
5*2022
Interpretable models for understanding immersive simulations
N Hoernle, K Gal, B Grosz, L Lyons, A Ren, A Rubin
arXiv preprint arXiv:1909.11025, 2019
42019
Modeling crowd work in open task systems
N Hoernle
The University of Edinburgh, 2022
2022
Interpreting Models of Student Interaction in Immersive Simulation Settings
N Hoernle, K Gal, B Grosz, L Lyons, A Ren, A Rubin
2020
Interpretable Models of Human Interaction in Immersive Simulation Settings.
N Hoernle, K Gal, BJ Grosz, L Lyons, A Ren, A Rubin
CoRR, 2019
2019
Change Point Modeling and Regime Learning in Markov Switching Systems
NS Hoernle
Harvard University Cambridge, Massachusetts, 2018
2018
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Cikkek 1–13