| 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 | 143 | 2013 |
| 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 | 36 | 2012 |
| 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, 855-876, 2016 | 27 | 2016 |
| ADAPTIVE CONTENT SEQUENCING WITHOUT DOMAIN INFORMATION C Schatten, L Schmidt-Thieme Computer Supported EDucation, 2014 | 21 | 2014 |
| 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 | 13 | 2015 |
| 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 | 11 | 2012 |
| 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 | 10 | 2014 |
| 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 | 10 | 2013 |
| Vygotsky based sequencing without domain information: a matrix factorization approach C Schatten, R Janning, L Schmidt-Thieme Computer Supported Education: 6th International Conference, CSEDU 2014 …, 2015 | 8 | 2015 |
| 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 | 6 | 2016 |
| 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 | 5 | 2014 |
| Nested sequential minimal optimization for support vector machines A Ghio, D Anguita, L Oneto, S Ridella, C Schatten Artificial Neural Networks and Machine Learning–ICANN 2012: 22nd …, 2012 | 5 | 2012 |
| 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 | 4 | 2015 |
| Sequencing in Intelligent Tutoring Systems based on online learning Recommenders C Schatten | 3 | 2017 |
| Hybrid matrix factorization update for progress modeling in intelligent tutoring systems C Schatten, L Schmidt-Thieme Computers Supported Education: 8th International Conference, CSEDU 2016 …, 2017 | 3 | 2017 |
| 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 | 3 | 2015 |
| Automatic Subclasses Estimation for a Better Classification with HNNP R Janning, C Schatten, L Schmidt-Thieme Foundations of Intelligent Systems: 21st International Symposium, ISMIS 2014 …, 2014 | 3 | 2014 |
| Local Feature Extractors Accelerating HNNP for Phoneme Recognition R Janning, C Schatten, L Schmidt-Thieme KI 2014: Advances in Artificial Intelligence: 37th Annual German Conference …, 2014 | 2 | 2014 |
Lars Schmidt-ThiemeUniversity of Hildesheim, GermanyVerified email at ismll.uni-hildesheim.de
