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Dr. Carlotta Schatten
Dr. Carlotta Schatten
University of Hildesheim
Verified email at ismll.de
Title
Cited by
Cited by
Year
Electroencephalogram and physiological signal analysis for assessing flow in games
R Berta, F Bellotti, A De Gloria, D Pranantha, C Schatten
IEEE Transactions on Computational Intelligence and AI in Games 5 (2), 164-175, 2013
1412013
Exploiting real-time EEG analysis for assessing flow in games
A Plotnikov, N Stakheika, A De Gloria, C Schatten, F Bellotti, R Berta, ...
2012 IEEE 12th International Conference on Advanced Learning Technologies …, 2012
352012
Perceived task-difficulty recognition from log-file information for the use in adaptive intelligent tutoring systems
R Janning, C Schatten, L Schmidt-Thieme
International Journal of Artificial Intelligence in Education 26 (3), 855-876, 2016
282016
ADAPTIVE CONTENT SEQUENCING WITHOUT DOMAIN INFORMATION
C Schatten, L Schmidt-Thieme
Computer Supported EDucation, 2014
212014
Multimodal Affect Recognition for Adaptive Intelligent Tutoring Systems
R Janning, C Schatten, L Schmidt-Thieme
19*2014
A Transfer Learning Approach for Applying Matrix Factorization to Small ITS Datasets.
L Voß, C Schatten, C Mazziotti, L Schmidt-Thieme
International Educational Data Mining Society, 2015
132015
Measuring enjoyment in games through electroencephalogram (eeg) signal analysis
A Plotnikov, N Stakheika, C Schatten, F Belotti, D Pranantha, R Berta, ...
Proceedings of the 6th European Conference on Games-Based Learning (ECGBL …, 2012
112012
Minimal invasive integration of learning analytics services in intelligent tutoring systems
C Schatten, M Wistuba, L Schmidt-Thieme, S Gutiérrez-Santos
2014 IEEE 14th International Conference on Advanced Learning Technologies …, 2014
102014
Hnnp-a hybrid neural network plait for improving image classification with additional side information
R Janning, C Schatten, L Schmidt-Thieme
2013 IEEE 25th International Conference on Tools with Artificial …, 2013
102013
Vygotsky based sequencing without domain information: a matrix factorization approach
C Schatten, R Janning, L Schmidt-Thieme
International conference on computer supported education, 35-51, 2014
82014
Matrix Factorization Feasibility for Sequencing and Adaptive Support in ITS
C Schatten, R Janning, L Schmidt-Thieme, M Mavrikis
8*2014
Student Progress Modeling with Skills Deficiency Aware Kalman Filters.
C Schatten, L Schmidt-Thieme
CSEDU (1), 31-42, 2016
62016
An SVM plait for improving affect recognition in intelligent tutoring systems
R Janning, C Schatten, L Schmidt-Thieme, G Backfried, N Pfannerer
2014 IEEE 26th International Conference on Tools with Artificial …, 2014
52014
Nested sequential minimal optimization for support vector machines
A Ghio, D Anguita, L Oneto, S Ridella, C Schatten
International Conference on Artificial Neural Networks, 156-163, 2012
52012
Integration and evaluation of a matrix factorization sequencer in large commercial ITS
C Schatten, R Janning, L Schmidt-Thieme
Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015
42015
Sequencing in Intelligent Tutoring Systems based on online learning Recommenders
C Schatten
32017
Hybrid matrix factorization update for progress modeling in intelligent tutoring systems
C Schatten, L Schmidt-Thieme
International Conference on Computer Supported Education, 49-70, 2016
32016
Recognising perceived task difficulty from speech and pause histograms
R Janning, C Schatten, L Schmidt-Thieme
International Workshop on Affect, Meta-Affect, Data and Learning (AMADL 2015 …, 2015
32015
Automatic Subclasses Estimation for a Better Classification with HNNP
R Janning, C Schatten, L Schmidt-Thieme
International Symposium on Methodologies for Intelligent Systems, 93-102, 2014
32014
Local Feature Extractors Accelerating HNNP for Phoneme Recognition
R Janning, C Schatten, L Schmidt-Thieme
Joint German/Austrian Conference on Artificial Intelligence (Künstliche …, 2014
22014
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