Accepted papers

The following papers have been accepted for presentation at AALTD’16 :

  • Stephan Spiegel. Transfer Learning for Time Series Classification in Dissimilarity Spaces [pdf]
  • Weiwei Shi, Yongxin Zhu, Xiao Pan, Philip Yu and Yufeng Chen. Missing Data Prediction in Multi-source Time Series with Sensor Network Regularization [pdf]
  • Pierre-François Marteau. Assessing pattern recognition or labeling in streams of temporal data [pdf]
  • David Tolpin. Progressive Temporal Window Widening [pdf]
  • Katsiaryna Mirylenka, Christoph Miksovic and Paolo Scotton. Recurrent Neural Networks for Modeling Company-Product Time Series [pdf]
  • Christina Papagiannopoulou, Diego Miralles, Mathieu Depoorter, Niko Verhoest, Wouter Dorigo and Willem Waegeman. Discovering relationships in climate-vegetation dynamics using satellite data [pdf]
  • Yulong Pei, Jianpeng Zhang, George H. L. Fletcher and Mykola Pechenizkiy. Node Classification in Dynamic Social Networks [pdf]
  • Arthur Le Guennec, Simon Malinowski and Romain T:#19=dong>
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  • Arthur T:#19=Brage Veéhémy LimokolaFlorh=1& d;16 : [pdf]
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