• Learning dynamical models using motifs 

  Provan, Gregory (Sun SITE Central Europe / RWTH Aachen University, 2016-09)

  Automatically creating dynamical system models, M, from data is an active research area for a range of real-world applications, such as systems biology and engineering. However, the overall inference complexity increases ...
• Sizing network buffers: an HTTP Adaptive Streaming perspective 

  Raca, Darijo; Zahran, Ahmed H.; Sreenan, Cormac J. (Institute of Electrical and Electronics Engineers (IEEE), 2016-10-18)

  HTTP Adaptive video Streaming (HAS) is the dominant traffic type on the Internet. When multiple video clients share a bottleneck link many problems arise, notably bandwidth underutilisation, unfairness and instability. Key ...
• A qualitative analysis of haptic feedback in music focused exercises new interfaces for musical expression 

  Young, Gareth W.; Murphy, David; Weeter, Jeffrey (NIME, 2017-05-19)

  We present the findings of a pilot-study that analysed the role of haptic feedback in a musical context. To closely examine the role of haptics in Digital Musical Instrument (DMI) design an experiment was formulated to ...
• Preprocessing versus search processing for constraint satisfaction problems 

  Wallace, Richard J. (Sun SITE Central Europe (CEUR) / RWTH Aachen University, 2016-11)

  A perennial problem in hybrid backtrack CSP search is how much local consistency processing should be done to achieve the best efficiency. This can be divided into two separate questions: (1) how much work should be done ...
• Improving sentiment analysis through ensemble learning of meta-level features 

  Alnashwan, Rana; O'Riordan, Adrian P.; Sorensen, Humphrey; Hoare, Cathal (Sun SITE Central Europe (CEUR) / RWTH Aachen University, 2016-09)

  In this research, the well-known microblogging site, Twitter, was used for a sentiment analysis investigation. We propose an ensemble learning approach based on the meta-level features of seven existing lexicon resources ...

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