Outputs (161)

Reproducibility in machine Learning-Based studies: An example of text mining (2017)
Presentation / Conference Contribution
Olorisade, B. K., Brereton, P., & Andras, P. (2017). Reproducibility in machine Learning-Based studies: An example of text mining. In ICML 2017 RML Workshop: Reproducibility in Machine Learning

Reproducibility is an essential requirement for computational studies including those based on machine learning techniques. However, many machine learning studies are either not reproducible or are difficult to reproduce. In this paper, we consider... Read More about Reproducibility in machine Learning-Based studies: An example of text mining.

Inflection Generation for Spanish Verbs using Supervised Learning (2017)
Presentation / Conference Contribution
Barros, C., Gkatzia, D., & Lloret, E. (2017). Inflection Generation for Spanish Verbs using Supervised Learning. In Proceedings of the First Workshop on Subword and Character Level Models in NLP (136-141). https://doi.org/10.18653/v1/W17-4120

We present a novel supervised approach to inflection generation for verbs in Spanish. Our system takes as input the verb’s lemma form and the desired features such as person, number, tense, and is able to predict the appropriate grammatical conjugati... Read More about Inflection Generation for Spanish Verbs using Supervised Learning.

Improving the Naturalness and Expressivity of Language Generation for Spanish (2017)
Presentation / Conference Contribution
Barros, C., Gkatzia, D., & Lloret, E. (2017). Improving the Naturalness and Expressivity of Language Generation for Spanish. In Proceedings of the 10th International Conference on Natural Language Generation (41-50). https://doi.org/10.18653/v1/W17-3505

We present a flexible Natural Language Generation approach for Spanish, focused on the surface realisation stage, which integrates an inflection module in order to improve the naturalness and expressivity of the generated language. This inflection mo... Read More about Improving the Naturalness and Expressivity of Language Generation for Spanish.

Method for Efficient CPU-GPU Streaming for Walkthrough of Full Motion Lightfield Video (2017)
Presentation / Conference Contribution
Chitalu, F. M., Koniaris, B., & Mitchell, K. (2017). Method for Efficient CPU-GPU Streaming for Walkthrough of Full Motion Lightfield Video. In CVMP 2017: Proceedings of the 14th European Conference on Visual Media Production (CVMP 2017). https://doi.org

Lightfield video, as a high-dimensional function, is very demanding in terms of storage. As such, lightfield video data, even in a compressed form, do not typically fit in GPU or main memory unless the capture area, resolution or duration is sufficie... Read More about Method for Efficient CPU-GPU Streaming for Walkthrough of Full Motion Lightfield Video.

Building an Adaptive E-Learning System (2017)
Presentation / Conference Contribution
Chrysoulas, C., & Fasli, M. (2017). Building an Adaptive E-Learning System. In Proceedings of the 9th International Conference on Computer Supported Education - Volume 2: CSEDU (375-382). https://doi.org/10.5220/0006326103750382

Research in adaptive learning is mainly focused on improving learners’ learning achievements based mainly on personalization information, such as learning style, cognitive style or learning achievement. In this paper, an innovative adaptive learning... Read More about Building an Adaptive E-Learning System.

Exploring Musical Creativity through Interactive Cymatics (2017)
Presentation / Conference Contribution
McGowan, J., Leplatre, G., & McGregor, I. (2017). Exploring Musical Creativity through Interactive Cymatics. In Proceedings of the 31st International BCS Human Computer Interaction Conference (HCI 2017). https://doi.org/10.14236/ewic/HCI2017.67

What does music look like? Representation of sound has taken many forms over time, from sinusoidal wave patterns, through to random algorithm-based visualisations based on the amplitude of an audio signal. One aspect of music visualisation that has n... Read More about Exploring Musical Creativity through Interactive Cymatics.

Predicting obesity using longitudinal near infra-red spectroscopy (NIRS) data (2017)
Presentation / Conference Contribution
Abdullah, A., Hussain, A., & Khan, I. (2017). Predicting obesity using longitudinal near infra-red spectroscopy (NIRS) data. In Proceedings of the International Conference on Compute and Data Analysis (123-128). https://doi.org/10.1145/3093241.3093286

Globally there has been a dramatic increase in obesity. Thus understanding, predicting and managing obesity has the potential to save lives and billions. Behavioral studies suggest that binging by obese persons is prompted by inflated brain reward ce... Read More about Predicting obesity using longitudinal near infra-red spectroscopy (NIRS) data.

Applications of Evolutionary Computation (2017)
Presentation / Conference Contribution
(2017). Applications of Evolutionary Computation. In G. Squillero, & K. Sim (Eds.), Applications of Evolutionary Computation (Part II). https://doi.org/10.1007/978-3-319-55792-2

The two volumes LNCS 10199 and 10200 constitute the refereed conference proceedings of the 20th European Conference on the Applications of Evolutionary Computation, EvoApplications 2017, held in Amsterdam, The Netherlands, in April 2017, colocated wi... Read More about Applications of Evolutionary Computation.

Applications of Evolutionary Computation (2017)
Presentation / Conference Contribution
(2017). Applications of Evolutionary Computation. In G. Squillero, & K. Sim (Eds.), Applications of Evolutionary Computation (Part I). https://doi.org/10.1007/978-3-319-55849-3

The two volumes LNCS 10199 and 10200 constitute the refereed conference proceedings of the 20th European Conference on the Applications of Evolutionary Computation, EvoApplications 2017, held in Amsterdam, The Netherlands, in April 2017, collocated w... Read More about Applications of Evolutionary Computation.

A Cognitive-IoE Approach to Ambient-intelligent Smart Home (2017)
Presentation / Conference Contribution
Jamnal, G., & Liu, X. (2017). A Cognitive-IoE Approach to Ambient-intelligent Smart Home. In Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security (302-308). https://doi.org/10.5220/0006304103020308

In today’s world, we are living in busy metropolitan cities and want our homes to be ambient intelligent enough towards our cognitive requirements for assisted living in smart space environment and an excellent smart home control system should not re... Read More about A Cognitive-IoE Approach to Ambient-intelligent Smart Home.