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People: Ruth Janning, M.Sc.
Office hour:
C038 Spl, upon request
Email:
Phone:+49 5121/ 883-40370
Fax:+49 5121 / 883-40361
e-mail:
Postal address:
Information Systems and Machine Learning Lab
Universitätsplatz 1
University of Hildesheim
31141 Hildesheim
Germany
Visitor address:
Information Systems and Machine Learning Lab
Samelsonplatz 1
University of Hildesheim
31141 Hildesheim
Germany

Projects:

Teaching:

Bachelor/Masterthesis:

  • WiSe 2013: Christoph Herrmann: Evaluierung von Heuristiken angewandt in der Bidirectional BFIDA*-Suche für Peg Solitaire
  • WiSe 2014: Moritz Gutowski: Evaluierung von Algorithmen und Techniken zum Spielen und Lösen von Dots and Boxes

Publications:
Books:

  • Myra Spiliopoulou, Lars Schmidt-Thieme, Ruth Janning (eds., 2014):
    Data Analysis, Machine Learning and Knowledge Discovery, Springer.
Journal Papers:
  • Ruth Janning, Carlotta Schatten, Lars Schmidt-Thieme (2015):
    Perceived Task-Difficulty Recognition from Log-file Information for the Use in Adaptive Intelligent Tutoring Systems, Springer.
  • Ruth Janning, Andre Busche, Tomas Horvath, Lars Schmidt-Thieme (2013):
    Buried Pipe Localization Using an Iterative Geometric Clustering on GPR Data, Springer Artificial Intelligence Review. PDF
Articles:
  • 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.
  • Beate Grawemeyer, Sergio Gutierrez-Santos, Wayne Holmes, Manolis Mavrikis, Nikol Rummel, Claudia Mazziotti, Ruth Janning (2015):
    Talk, Tutor, Explore, Learn: Intelligent Tutoring and Exploration for Robust Learning, in Proceedings of the 17th International Conference on Artificial Intelligence in Education (AIED 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. PDF
  • 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). PDF
  • 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.
  • Andre Busche, Ruth Janning, Lars Schmidt-Thieme (2013):
    Analysing the Potential Impact of Labeling Disagreements for Engineering Sensor Data, in Proceedings of the LWA 2013 - Lernen, Wissen und Adaptivität, Knowledge Discovery and Machine Learning track, Bamberg.
  • 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. PDF
  • Andre Busche, Ruth Janning, Tomas Horvath, Lars Schmidt-Thieme (2012):
    A Unifying Framework for GPR Image Reconstruction, in 36nd Annual Conference of the Gesellschaft für Klassifikation (GfKl 2012).
  • Andre Busche, Ruth Janning, Tomas Horvath, Lars Schmidt-Thieme (2012):
    Some Improvements for Multi-Hyperbola Detection on GPR Data, in Workshop on Knowledge Discovery, Data Mining and Machine Learning (KDML 2012).
  • Ruth Janning, Tomas Horvath, Andre Busche, Lars Schmidt-Thieme (2012):
    Pipe Localization by Apex Detection, in Proceedings of the IET international conference on radar systems (Radar 2012), Glasgow, Scotland.
  • Ruth Janning, Tomas Horvath, Andre Busche, Lars Schmidt-Thieme (2012):
    GamRec: a Clustering Method Using Geometrical Background Knowledge for GPR Data Preprocessing, in Artificial Intelligence Applications and Innovations (IFIP Advances in Information and Communication Technology 381), Springer, Heidelberg, Halkidiki, Greece, pp. 347--356. PDF
  • Daniel Seyfried, Andre Busche, Ruth Janning, Lars Schmidt-Thieme, Jörg Schöbel (2012):
    Information Extraction From Ultrawideband Ground Penetrating Radar Data: A Machine Learning Approach, Proceedings of the 7th German Microwave Conference .
  • Ruth Janning, Christoph Beierle (2011):
    Transformation Rules for First-Order Probabilistic Conditional Logic Yielding Parametric Uniformity, in KI 2011, LNAI 7006, Springer-Verlag Berlin Heidelberg, pp. 157--168. Best Theoretical Paper Award.
  • Ruth Janning (2010):
    Commonsense Ontologies and the Use of Words in Natural Language, in GI-Edition - Lecture Notes in Informatics (LNI), P-176: INFORMATIK 2010 Service Science - Neue Perspektiven für die Informatik - Band 2, Bonner Köllen Verlag, pp. 85--90.
  • Ruth Janning (2010):
    Konstruktion von Common Sense-Ontologien durch Analyse natürlicher Sprache, in GI-Edition - Lecture Notes in Informatics (LNI), S-9: Informatiktage 2010, Bonner Köllen Verlag, pp. 31--34.