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Super-FAN: integrated facial landmark localization and super-resolution of real-world low resolution faces in arbitrary poses with GANs (2018)
Conference Proceeding
Bulat, A., & Tzimiropoulos, G. (2018). Super-FAN: integrated facial landmark localization and super-resolution of real-world low resolution faces in arbitrary poses with GANs.

This paper addresses 2 challenging tasks: improving the quality of low resolution facial images and accurately locating the facial landmarks on such poor resolution images. To this end, we make the following 5 contributions: (a) we propose Super-FAN:... Read More about Super-FAN: integrated facial landmark localization and super-resolution of real-world low resolution faces in arbitrary poses with GANs.

Comparison of fuzzy integral-fuzzy measure based ensemble algorithms with the state-of-the-art ensemble algorithms (2018)
Conference Proceeding
Agrawal, U., Pinar, A. J., Wagner, C., Havens, T. C., Soria, D., & Garibaldi, J. M. (2018). Comparison of fuzzy integral-fuzzy measure based ensemble algorithms with the state-of-the-art ensemble algorithms.

The Fuzzy Integral (FI) is a non-linear aggregation operator which enables the fusion of information from multiple sources in respect to a Fuzzy Measure (FM) which captures the worth of both the individual sources and all their possible combinations.... Read More about Comparison of fuzzy integral-fuzzy measure based ensemble algorithms with the state-of-the-art ensemble algorithms.

Deepening Visitor Engagement with Museum Exhibits through Hand-crafted Visual Markers (2018)
Conference Proceeding
Ali, S., Koleva, B., Bedwell, B., & Benford, S. (2018). Deepening Visitor Engagement with Museum Exhibits through Hand-crafted Visual Markers. In Proceedings of the 2018 on Designing Interactive Systems Conference 2018 - DIS '18 (523-534). https://doi.org/10.1145/3196709.3196786

Visual markers, in particular QR codes, have become widely adopted in museums to enable low cost interactive applications. However, visitors often do not engage with them. In this paper we explore the application of visual makers that can be designed... Read More about Deepening Visitor Engagement with Museum Exhibits through Hand-crafted Visual Markers.

A smart phone based multi-floor indoor positioning system for occupancy detection (2018)
Conference Proceeding
Mashuk, M. S., Pinchin, J., Siebers, P., & Moore, T. (in press). A smart phone based multi-floor indoor positioning system for occupancy detection.

At present there is a lot of research being done simulating building environment with artificial agents and predicting energy usage and other building performance related factors that helps to promote understanding of more sustainable buildings. To u... Read More about A smart phone based multi-floor indoor positioning system for occupancy detection.

Human behaviour-based automatic depression analysis using hand-crafted statistics and deep learned spectral features (2018)
Conference Proceeding
Song, S., Shen, L., & Valstar, M. (2018). Human behaviour-based automatic depression analysis using hand-crafted statistics and deep learned spectral features. In Proceedings - 13th IEEE International Conference on Automatic Face and Gesture Recognition: FG2018: 15-19 May 2018 Xi'an, China (158-165). https://doi.org/10.1109/FG.2018.00032

Depression is a serious mental disorder that affects millions of people all over the world. Traditional clinical diagnosis methods are subjective, complicated and need extensive participation of experts. Audio-visual automatic depression analysis sys... Read More about Human behaviour-based automatic depression analysis using hand-crafted statistics and deep learned spectral features.

A tripartite filter design for seamless pedestrian navigation using recursive 2-means clustering and Tukey update (2018)
Conference Proceeding
Peltola, P., Xiao, J., Hill, C., Moore, T., Seco, F., & Jiménez, A. R. (in press). A tripartite filter design for seamless pedestrian navigation using recursive 2-means clustering and Tukey update.

Mobile devices are desired to guide users seamlessly to diverse destinations indoors and outdoors. The positioning fixing subsystems often provide poor quality measurements with gaps in an urban environment. No single position fixing technology works... Read More about A tripartite filter design for seamless pedestrian navigation using recursive 2-means clustering and Tukey update.

GNSS-based Location Determination System Architecture for railway performance assessment in presence of local effects (2018)
Conference Proceeding
Stallo, C., Neri, A., Salvatori, P., Coluccia, A., Capua, R., Olivieri, G., …Rispoli, F. (in press). GNSS-based Location Determination System Architecture for railway performance assessment in presence of local effects.

GNSS plays a strategic role on the introduction of the Virtual Balise functionality and the train integrity. Thanks to GNSS, it could be possible to realize cost effective solutions to increase the safety in the regional lines, where the traffic dens... Read More about GNSS-based Location Determination System Architecture for railway performance assessment in presence of local effects.

Multi-Frequency Precise Point Positioning using GPS and Galileo data with smoothed ionospheric corrections (2018)
Conference Proceeding
Basile, F., Moore, T., Hill, C., McGraw, G., & Johnson, A. (in press). Multi-Frequency Precise Point Positioning using GPS and Galileo data with smoothed ionospheric corrections.

The poor signal visibility and continuity associated with urban environments together with the slow convergence/reconvergence time of Precise Point Positioning (PPP), usually makes PPP unsuitable for land navigation in cities. However, results based... Read More about Multi-Frequency Precise Point Positioning using GPS and Galileo data with smoothed ionospheric corrections.

An assessment of the precise products on static Precise Point Positioning using Multi-Constellation GNSS (2018)
Conference Proceeding
Mohammed, J., Moore, T., Hill, C., & Bingley, R. (in press). An assessment of the precise products on static Precise Point Positioning using Multi-Constellation GNSS.

Precise point positioning (PPP) is highly dependent on the precise ephemerides and satellite clock products that are used. Different ephemeris and clock products are available from a variety of different organizations. The aim of this paper is to ass... Read More about An assessment of the precise products on static Precise Point Positioning using Multi-Constellation GNSS.

The problem of DMI adoption and longevity: envisioning a NIME performance pedagogy (2018)
Conference Proceeding
Marquez-Borbon, A., & Martinez Avila, J. P. (2018). The problem of DMI adoption and longevity: envisioning a NIME performance pedagogy. In Proceedings of the International Conference on New Interfaces for Musical Expression. , (190-195)

This paper addresses the prevailing longevity problem of digital musical instruments (DMIs) in NIME research and design by proposing a holistic system design approach. Despite recent efforts to examine the main contributing factors of DMI falling int... Read More about The problem of DMI adoption and longevity: envisioning a NIME performance pedagogy.

A landscape of design: Interaction, interpretation and the development of experimental expressive interfaces (2018)
Conference Proceeding
Chamberlain, A., Bødker, M., De Roure, D., Willcox, P., Emsley, I., & Malizia, A. (2018). A landscape of design: Interaction, interpretation and the development of experimental expressive interfaces. In M. Kurosu (Ed.), Human-Computer Interaction. Theories, Methods, and Human Issues (24-34). https://doi.org/10.1007/978-3-319-91238-7_3

© Springer International Publishing AG, part of Springer Nature 2018. This short paper presents the initial research insights of an ongoing research project that focuses upon understanding the role of landscape, its use as a resource for designing in... Read More about A landscape of design: Interaction, interpretation and the development of experimental expressive interfaces.

Enhancing supervised classifications with metamorphic relations (2018)
Conference Proceeding
Xu, L., Towey, D., French, A. P., Benford, S., Zhou, Z. Q., & Chen, T. Y. (2018). Enhancing supervised classifications with metamorphic relations. In MET '18: Proceedings of the 3rd International Workshop on Metamorphic Testing (46-53). https://doi.org/10.1145/3193977.3193978

We report on a novel use of metamorphic relations (MRs) in machine learning: instead of conducting metamorphic testing, we use MRs for the augmentation of the machine learning algorithms themselves. In particular, we report on how MRs can enable enha... Read More about Enhancing supervised classifications with metamorphic relations.

Meta Models for Real-Time Design Assessment Within an Integrated Information and Numerical Modelling Framework (2018)
Conference Proceeding
Ninic, J., Koch, C., & Tizani, W. (2018). Meta Models for Real-Time Design Assessment Within an Integrated Information and Numerical Modelling Framework. In Advanced Computing Strategies for Engineering (201-218). https://doi.org/10.1007/978-3-319-91635-4_11

© Springer International Publishing AG, part of Springer Nature 2018. In situations where rapid decisions are required or a large number of design alternatives is to be explored, numerical predictions of construction processes have to be performed in... Read More about Meta Models for Real-Time Design Assessment Within an Integrated Information and Numerical Modelling Framework.

Interval type-2 intuitionistic fuzzy logic systems - A comparative evaluation (2018)
Conference Proceeding
Eyoh, I., John, R., & De Maere, G. (2018). Interval type-2 intuitionistic fuzzy logic systems - A comparative evaluation. In J. Medina, M. Ojeda-Aciego, J. L. Verdegay, D. A. Pelta, I. P. Cabrera, B. Bouchon-Meunier, & R. R. Yager (Eds.), Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations. IPMU 2018 (687-698). https://doi.org/10.1007/978-3-319-91473-2_58

Several fuzzy modeling techniques have been employed for handling uncertainties in data. This study presents a comparative evaluation of a new class of interval type-2 fuzzy logic system (IT2FLS) namely: interval type-2 intuitionistic fuzzy logic sys... Read More about Interval type-2 intuitionistic fuzzy logic systems - A comparative evaluation.

Efficient binary fuzzy measure representation and Choquet integral learning (2018)
Conference Proceeding
Islam, M. A., Anderson, D. T., Du, X., Havens, T. C., & Wagner, C. (2018). Efficient binary fuzzy measure representation and Choquet integral learning. In Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations (115-126). https://doi.org/10.1007/978-3-319-91473-2_10

The Choquet integral (ChI), a parametric function for information aggregation, is parameterized by the fuzzy measure (FM), which has 2N real-valued variables for N inputs. However, the ChI incurs huge storage and computational burden due to its expon... Read More about Efficient binary fuzzy measure representation and Choquet integral learning.

Predicting folds in poker using action unit detectors and decision trees (2018)
Conference Proceeding
Vinkemeier, D., Valstar, M., & Gratch, J. (2018). Predicting folds in poker using action unit detectors and decision trees. In Proceedings - 13th IEEE International Conference on Automatic face and Gesture Recognition: FG 2018 (504-511). https://doi.org/10.1109/FG.2018.00081

Predicting how a person will respond can be very useful, for instance when designing a strategy for negotiations. We investigate whether it is possible for machine learning and computer vision techniques to recognize a person’s intentions and predic... Read More about Predicting folds in poker using action unit detectors and decision trees.

Brain activity and mental workload associated with artistic practice (2018)
Conference Proceeding
Maior, H. A., Wilson, M. L., Locke, C., & Swann, D. (2018). Brain activity and mental workload associated with artistic practice.

We present the first stage of our on-going artist-driven BCI collaboration, where we equipped an artist with the brain scanning technique functional Near Infrared Spectroscopy (fNIRS) in order to record mental workload levels during her creative prac... Read More about Brain activity and mental workload associated with artistic practice.

Falling for fake news: Investigating the consumption of news via social media (2018)
Conference Proceeding
Flintham, M., Karner, C., Creswick, H., Bachour, K., Gupta, N., & Moran, S. (2018). Falling for fake news: Investigating the consumption of news via social media. In CHI '18: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (1–10). https://doi.org/10.1145/3173574.3173950

In the so called ‘post-truth’ era, characterized by a loss of public trust in various institutions, and the rise of ‘fake news’ disseminated via the internet and social media, individuals may face uncertainty about the veracity of information availab... Read More about Falling for fake news: Investigating the consumption of news via social media.