Kontakt:

Telefon:	05121 / 883-40374
Telefax:	05121 / 883-40361
E-Mail:

Publications:

• Carlotta Schatten, Lars Schmidt-Thieme (2016):
  Student Progress Modeling with skills deficiency aware Kalman Filters, in Proceedings of the 8th International Conference on Computer Supported Education (www.csedu.org), Springer.
• Ruth Janning, Carlotta Schatten, Lars Schmidt-Thieme (2015):
  Improving Automatic Affect Recognition on Low-Level Speech Features in Intelligent Tutoring Systems, in Proceedings of the 10th European Conference on Technology Enhanced Learning (EC-TEL 2015), Toledo, Spain.
• Ruth Janning, Carlotta Schatten, Lars Schmidt-Thieme (2015):
  Recognising perceived task difficulty from speech and pause histograms, in Proceedings of the 17th International Conference on Artificial Intelligence in Education (AIED 2015) , Madrid, Spain.
• Ruth Janning, Carlotta Schatten, Lars Schmidt-Thieme (2015):
  How to aggregate multimodal features for perceived task difficulty recognition in intelligent tutoring systems, in Proceedings of the 8th International Conference on Educational Data Mining (EDM 2015) , Madrid, Spain.
• Lydia Voß, Carlotta Schatten, Claudia Mazziotti, Lars Schmidt-Thieme (2015):
  A Transfer Learning approach for applying Matrix Factorization to small ITS datasets, in Proceedings of the 8th International Conference on Educational Data Mining (EDM 2015) , Madrid, Spain.
• Carlotta Schatten, Ruth Janning, Lars Schmidt-Thieme (2015):
  Integration and Evaluation of a Matrix Factorization Sequencer in Large Commercial ITS, in Proceedings of the 29th AAAI Conference on Artificial Intelligence (AAAI15) , Austin, Texas.
• Carlotta Schatten, Ruth Janning, Lars Schmidt-Thieme (2014):
  Vygotsky based Sequencing without Domain Information: A Matrix Factorization Approach, in Computer Supported Education, CSEDU 2014, Revised Selected Papers .
• Ruth Janning, Carlotta Schatten, Lars Schmidt-Thieme, Gerhard Backfried, Norbert Pfannerer (2014):
  An SVM Plait for Improving Affect Recognition in Intelligent Tutoring Systems, in Proceedings of the IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2014.
• Ruth Janning, Carlotta Schatten, Lars Schmidt-Thieme (2014):
  Local Feature Extractors Accelerating HNNP for Phoneme Recognition, in Proceedings of the 37th German Conference on Artificial Intelligence (KI 2014).
• Ruth Janning, Carlotta Schatten, Lars Schmidt-Thieme (2014):
  Feature Analysis for Affect Recognition Supporting Task Sequencing in Adaptive Intelligent Tutoring Systems, in Proceedings of the 9th European Conference on Technology Enhanced Learning (EC-TEL 2014).
• Ruth Janning, Carlotta Schatten, Lars Schmidt-Thieme (2014):
  Multimodal Affect Recognition for Adaptive Intelligent Tutoring Systems, in Extended Proceedings of the 7th International Conference on Educational Data Mining (EDM 2014).
• Carlotta Schatten, Manolis Mavrikis, Ruth Janning, Lars Schmidt-Thieme (2014):
  Matrix Factorization Feasibility for Sequencing and Adaptive Support in ITS, in Proceedings of the 7th International Conference on Educational Data Mining, EDM 2014 .
• Ruth Janning, Carlotta Schatten, Lars Schmidt-Thieme (2014):
  Automatic Subclasses Estimation for a Better Classification with HNNP, in Proceedings of the 21th International Symposium on Methodologies for Intelligent Systems (ISMIS 2014), in Lecture Notes in Artificial Intelligence, Springer.
• Carlotta Schatten, Martin Wistuba, Lars Schmidt-Thieme, Sergio Gutiérrez-Santos (2014):
  Minimal Invasive Integration of Learning Analytics Services in Intelligent Tutoring Systems, in Proceedings of the 14th IEEE International Conference on Advanced Learning Technologies.
• Carlotta Schatten, Lars Schmidt-Thieme (2014):
  Adaptive Content Sequencing without Domain Information, in Proceedings of the 6th International Conference on Computer Supported Education (www.csedu.org), Springer.
• Ruth Janning, Carlotta Schatten, Lars Schmidt-Thieme (2013):
  HNNP - A Hybrid Neural Network Plait for Improving Image Classification with Additional Side Information, in Proceedings of the IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2013.
• Berta R., Bellotti F., De Gloria A., Pranantha D., Carlotta Schatten (2013):
  Electroencephalogram and physiological signal analysis for assessing flow in games, in IEEE Transactions on Computational Intelligence and AI in Games.
• Ghio A., Anguita D., Oneto L. , Ridella S., Carlotta Schatten (2012):
  Nested sequential minimal optimization for support vector machines, in In Proceedings of Artificial Neural Networks and Machine Learning.
• Plotnikov A. , Stakheika N., Carlotta Schatten, Belotti F., Pranantha D., Berta R., De Gloria A. (2012):
  Measuring Enjoyment in Games Through Electroencephalogram (EEG) Signal Analysis, in In Proceedings of the 6th European Conference on Games-Based Learning.
• Plotnikov A., Stakheika N., De Gloria A., Carlotta Schatten, Belotti F., Pranantha D., Berta R., Fiorini C., Ansovini F. (2012):
  Exploiting real-time EEG analysis for assessing flow in games, in In Proceedings of IEEE 12th International Conference on Advanced Learning Technologies.