All Outputs (228)

The BURCHAK corpus: A challenge data set for interactive learning of visually grounded word meanings (2017)
Conference Proceeding
Yu, Y., Eshghi, A., Mills, G., & Lemon, O. J. (2017). The BURCHAK corpus: A challenge data set for interactive learning of visually grounded word meanings. In Proceedings of the Sixth Workshop on Vision and Language

We motivate and describe a new freely available human-human dialogue data set for interactive learning of visually grounded word meanings through ostensive definition by a tutor to a learner. The data has been collected using a novel, character-by-ch... Read More about The BURCHAK corpus: A challenge data set for interactive learning of visually grounded word meanings.

Alana: Social dialogue using an ensemble model and a ranker trained on user feedback (2017)
Conference Proceeding
Papaioannou, I., Curry, A. C., Part, J. L., Shalyminov, I., Xu, X., Yu, Y., …Lemon, O. (2017). Alana: Social dialogue using an ensemble model and a ranker trained on user feedback. In 1st Proceedings of Alexa Prize

We describe our Alexa prize system (called ‘Alana’) which consists of an ensemble of bots, combining rule-based and machine learning systems, and using a contextual ranking mechanism to choose system responses. This paper reports on the version of th... Read More about Alana: Social dialogue using an ensemble model and a ranker trained on user feedback.

VOILA: An optimised dialogue system for interactively learning visually-grounded word meanings (demonstration system) (2017)
Conference Proceeding
Yu, Y., Eshghi, A., & Lemon, O. (2017). VOILA: An optimised dialogue system for interactively learning visually-grounded word meanings (demonstration system). In Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue (197-200)

We present VOILA: an optimised, multi-modal dialogue agent for interactive learning of visually grounded word meanings from a human user. VOILA is: (1) able to learn new visual categories interactively from users from scratch; (2) trained on real hum... Read More about VOILA: An optimised dialogue system for interactively learning visually-grounded word meanings (demonstration system).

Decentralizing the Semantic Web: Who Will Pay to Realize It? (2017)
Conference Proceeding
Grubenmann, T., Dell'Aglio, D., Bernstein, A., Moor, D., & Seuken, S. (2017). Decentralizing the Semantic Web: Who Will Pay to Realize It?. In Proceedings of the Workshop on Decentralizing the Semantic Web 2017 co-located with 16th International Semantic Web Conference (ISWC 2017)

Fueled by enthusiasm of volunteers, government subsidies, and open data legislation, the Web of Data (WoD) has enjoyed a phenomenal growth. Commercial data, however, has been stuck in proprietary silos, as the monetization strategy for sharing data i... Read More about Decentralizing the Semantic Web: Who Will Pay to Realize It?.

The gamification of cybersecurity training (2017)
Conference Proceeding
Coull, N., Donald, I., Ferguson, I., Keane, E., Mitchell, T., Smith, O. V., …Tomkins, P. (2017). The gamification of cybersecurity training. In F. Tian, C. Gatzidis, A. El Rhalibi, W. Tang, & F. Charles (Eds.), E-learning and games (108--111). https://doi.org/10.1007/978-3-319-65849-0_13

Due to the rapidly and continued evolving nature of technology, there is a constant need to update police officers{\textquoteright} training in cyber security to ensure that the UK continues to be a secure place to live and do business. Rather than d... Read More about The gamification of cybersecurity training.

Tea leaves moisture prediction using one-port monopole sensor (2017)
Conference Proceeding
Ling, J., Then, Y., You, K., Ahmed, J., & Zaidel, D. (2017). Tea leaves moisture prediction using one-port monopole sensor. In 2017 IEEE Asia Pacific Microwave Conference (APMC) (654-657). https://doi.org/10.1109/APMC.2017.8251531

This paper presents the application of using a coaxial monopole sensor for determining and formulating the relationship between the reflection coefficient and the moisture content of tea leaves. A coaxial monopole sensor with operating frequency rang... Read More about Tea leaves moisture prediction using one-port monopole sensor.

A unified global investigation on the spectral effects of soiling losses of PV glass substrates: preliminary results (2017)
Conference Proceeding
Micheli, L., Fernández, E. F., Smestad, G. P., Alrashidi, H., Sarmah, N., Sellami, N., …et al. (2017). A unified global investigation on the spectral effects of soiling losses of PV glass substrates: preliminary results. In 2017 IEEE 44th Photovoltaic Specialist Conference (PVSC) (2858-2863). https://doi.org/10.1109/PVSC.2017.8366317

The present work reports on the initial results of an international collaboration aiming to investigate the spectral effects of soiling losses. Identical glass coupons have been exposed outdoors for eight weeks in different locations worldwide, and w... Read More about A unified global investigation on the spectral effects of soiling losses of PV glass substrates: preliminary results.

Reproducibility in machine Learning-Based studies: An example of text mining (2017)
Conference Proceeding
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.

Translating Design Details to Construction Details- with Both Eyes Open (2017)
Conference Proceeding
Sajjadianm, S. (2017). Translating Design Details to Construction Details- with Both Eyes Open. In International Conference for Sustainable Design of the Built Environment: Proceedings (983-990)

Sustainable designs will come to nothing if they are lost in construction process. Therefore, the accuracy of design details and the transformation to the construction details is vital to achieve initial design thinking targets. This is driven most i... Read More about Translating Design Details to Construction Details- with Both Eyes Open.

Quantifying the Behavior of Modern and Traditional Construction Systems on the Basis of Thermal Comfort (2017)
Conference Proceeding
Sajjadian, S., & Sharples, S. (2017). Quantifying the Behavior of Modern and Traditional Construction Systems on the Basis of Thermal Comfort. In Design to Thrive - PLEA 2017: Proceedings of 33rd PLEA International Conference. Volume 1 (136-143)

Thermal comfort is crucial to ascertain the energy consumption in buildings and is a key factor for decision-making in the design of sustainable building envelopes. This paper presents a methodology to assess the performance of construction systems q... Read More about Quantifying the Behavior of Modern and Traditional Construction Systems on the Basis of Thermal Comfort.

Inflection Generation for Spanish Verbs using Supervised Learning (2017)
Conference Proceeding
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)
Conference Proceeding
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)
Conference Proceeding
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/10.1145/3150165.3150173

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)
Conference Proceeding
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)
Conference Proceeding
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)
Conference Proceeding
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.

Simulation of PMSM in maxwell 3D/simplorer to optimize direct flux control (2017)
Conference Proceeding
Mueller, T., See, C., Ghani, A., & Thiemann, P. (2017). Simulation of PMSM in maxwell 3D/simplorer to optimize direct flux control. . https://doi.org/10.1109/ISIE.2017.8001274

This paper discusses the problem of a sensorless control method for permanent magnet synchronous machines named Direct Flux Control (DFC). Direct Flux Control provides its users with the angle of the total flux in the machine at all working points, i... Read More about Simulation of PMSM in maxwell 3D/simplorer to optimize direct flux control.

Reviewing the current state of machine learning for artificial intelligence with regards to the use of contextual information (2017)
Conference Proceeding
Kinch, M. W., Melis, W. J., & Keates, S. (2017). Reviewing the current state of machine learning for artificial intelligence with regards to the use of contextual information. In The Second Medway Engineering Conference on Systems: Efficiency, Sustainability and Modelling

This paper will consider the current state of Machine Learning for Artificial Intelligence, more specifically for applications, such as: Speech Recognition, Game Playing and Image Processing. The artificial world tends to make limited use of context... Read More about Reviewing the current state of machine learning for artificial intelligence with regards to the use of contextual information.

Machine learning for voice recognition (2017)
Conference Proceeding
Kinkiri, S., Melis, W. J., & Keates, S. (2017). Machine learning for voice recognition. In The Second Medway Engineering Conference on Systems: Efficiency, Sustainability and Modelling

Verbal communication is very important to us humans, but using thisperforming verbal communication to communicateion with machines still faces particular challenges. Therefore, researchers are trying to find ways to make communication with a machine... Read More about Machine learning for voice recognition.

Applications of Evolutionary Computation (2017)
Conference Proceeding
(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.