All Outputs (882)

Intent-Aware Predictive Haptic Guidance and its Application to Shared Control Teleoperation (2021)
Conference Proceeding
Ly, K. T., Poozhiyil, M., Pandya, H., Neumann, G., & Kucukyilmaz, A. (2021). Intent-Aware Predictive Haptic Guidance and its Application to Shared Control Teleoperation. In 2021 30th IEEE International Conference on Robot & Human Interactive Communication (RO-MAN) (565-572). https://doi.org/10.1109/RO-MAN50785.2021.9515326

This paper presents a haptic shared control paradigm that modulates the level of robotic guidance, based on predictions of human motion intentions. The proposed method incorporates robot trajectories learned from human demonstrations and dynamically... Read More about Intent-Aware Predictive Haptic Guidance and its Application to Shared Control Teleoperation.

FuzzyDCNN: Incorporating Fuzzy Integral Layers to Deep Convolutional Neural Networks for Image Segmentation (2021)
Conference Proceeding
Lin, Q., Chen, X., Chen, C., & Garibaldi, J. M. (2021). FuzzyDCNN: Incorporating Fuzzy Integral Layers to Deep Convolutional Neural Networks for Image Segmentation. In 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). https://doi.org/10.1109/fuzz45933.2021.9494456

Convolutional neural networks (CNNs) have achieved the state-of-the-art performance in many application areas, due to the capability of automatically extracting and aggregating spatial and channel-wise features from images. Most recent studies have c... Read More about FuzzyDCNN: Incorporating Fuzzy Integral Layers to Deep Convolutional Neural Networks for Image Segmentation.

Do People Prefer to Give Interval-Valued or Point Estimates and Why? (2021)
Conference Proceeding
Ellerby, Z., & Wagner, C. (2021). Do People Prefer to Give Interval-Valued or Point Estimates and Why?. In Proceedings of IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2021) (1-6). https://doi.org/10.1109/FUZZ45933.2021.9494507

Capturing interval-valued, as opposed to more conventional point-valued data, offers a potentially efficient method of obtaining richer information in individual responses. In turn, interval-valued data provide a strong foundation for subsequent fuzz... Read More about Do People Prefer to Give Interval-Valued or Point Estimates and Why?.

Teachers’ Perspectives on the Adoption of an Adaptive Learning System Based on Multimodal Affect Recognition for Students with Learning Disabilities and Autism (2021)
Conference Proceeding
Standen, P. J., Brown, D. J., Kwiatkowska, G. M., Belmonte, M. K., Galvez Trigo, M. J., Boulton, H., …Traversi, M. (2021). Teachers’ Perspectives on the Adoption of an Adaptive Learning System Based on Multimodal Affect Recognition for Students with Learning Disabilities and Autism. In R. A. Sottilare, & J. Schwarz (Eds.), Adaptive Instructional Systems. Design and Evaluation : Third International Conference, AIS 2021, Held as Part of the 23rd HCI International Conference, HCII 2021, Virtual Event, July 24–29, 2021, Proceedings, Part I. https://doi.org/10.1007/978-3-030-77857-6

Adoption of e-learning for those with special needs lags that for mainstream learners. Not much is known about barriers and facilitators that drive this disparity. The present study used focus groups and interviews to collect the views of 21 teachers... Read More about Teachers’ Perspectives on the Adoption of an Adaptive Learning System Based on Multimodal Affect Recognition for Students with Learning Disabilities and Autism.

Improving Uncertainty Estimations for Mammogram Classification Using Semi-Supervised Learning (2021)
Conference Proceeding
Calderon-Ramırez, S., Murillo-Hernandez, D., Rojas-Salazar, K., Calvo-Valverde, L., Yang, S., Moemeni, A., …Molina-Cabello, M. (2021). Improving Uncertainty Estimations for Mammogram Classification Using Semi-Supervised Learning. . https://doi.org/10.1109/IJCNN52387.2021.9533719

Computer aided diagnosis for mammogram images have seen positive results through the usage of deep learning architectures. However, limited sample sizes for the target datasets might prevent the usage of a deep learning model under real world scenari... Read More about Improving Uncertainty Estimations for Mammogram Classification Using Semi-Supervised Learning.

Designing the Hierarchical Fuzzy Systems Via FuzzyR Toolbox (2021)
Conference Proceeding
Razak, T. R., Chen, C., Garibaldi, J. M., & Wagner, C. (2021). Designing the Hierarchical Fuzzy Systems Via FuzzyR Toolbox. In 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). https://doi.org/10.1109/FUZZ45933.2021.9494485

The use of Hierarchical Fuzzy Systems (HFS) has been well acknowledged as a good approach in reducing the complexity and improving the interpretability of fuzzy logic systems (FLS). Over the past years, many fuzzy logic toolkits have been made availa... Read More about Designing the Hierarchical Fuzzy Systems Via FuzzyR Toolbox.

An Extension of the FuzzyR Toolbox for Non-Singleton Fuzzy Logic Systems (2021)
Conference Proceeding
Chen, C., Zhao, Y., Wagner, C., Pekaslan, D., & Garibaldi, J. M. (2021). An Extension of the FuzzyR Toolbox for Non-Singleton Fuzzy Logic Systems. In 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). https://doi.org/10.1109/fuzz45933.2021.9494472

Recent years have seen a surge in interest in non-singleton fuzzy systems. These systems enable the direct modelling of uncertainty affecting systems' inputs using the fuzzification stage. Moreover, recent work has shown how different composition app... Read More about An Extension of the FuzzyR Toolbox for Non-Singleton Fuzzy Logic Systems.

Intrusion Detection System Based on an Updated ANN Model (2021)
Conference Proceeding
Xue, Y., Onzo, B., & Neri, F. (2021). Intrusion Detection System Based on an Updated ANN Model. In Y. Tan, & Y. Shi (Eds.), Advances in Swarm Intelligence : 12th International Conference, ICSI 2021, Qingdao, China, July 17–21, 2021, Proceedings, Part II (472-479). https://doi.org/10.1007/978-3-030-78811-7_44

An intrusion detection system (IDS) is a software application or hardware appliance that monitors traffic on networks and systems to search for suspicious activity and known threats, sending up alerts when it finds such items. In these recent years,... Read More about Intrusion Detection System Based on an Updated ANN Model.

Sounding out the System: Multidisciplinary Web Science Platforms for Creative Sonification (2021)
Conference Proceeding
Emsley, I., & Chamberlain, A. (2021). Sounding out the System: Multidisciplinary Web Science Platforms for Creative Sonification. In WebSci '21 Companion: Companion Publication of the 13th ACM Web Science Conference 2021 (50-52). https://doi.org/10.1145/3462741.3466667

In this paper, we present our initial findings in using digital methods to consider the way that different devices can connect to the same object. We take a more experimental view of the ways in which network data might be used in compositions to hel... Read More about Sounding out the System: Multidisciplinary Web Science Platforms for Creative Sonification.

Designing to Support and Extend the Competencies of People with Visual Impairments (2021)
Conference Proceeding
Reyes Cruz, G. (2021). Designing to Support and Extend the Competencies of People with Visual Impairments. In CHI EA '21: Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems. https://doi.org/10.1145/3411763.3443425

This work sits in the fields of Human Computer Interaction and accessibility research dedicated to the study and development of technology used by people who are blind or visually impaired. Increasingly, researchers have stated the need to get away f... Read More about Designing to Support and Extend the Competencies of People with Visual Impairments.

An Examination of the Work Practices of Crowdfarms (2021)
Conference Proceeding
Wang, Y., Papangelis, K., Saker, M., Lykourentzou, I., Khan, V., Chamberlain, A., & Grudin, J. (2021). An Examination of the Work Practices of Crowdfarms. In CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. https://doi.org/10.1145/3411764.3445603

Crowdsourcing is a new value creation business model. Annual revenue of the Chinese market alone is hundreds of millions of dollars, yet few studies have focused on the practices of the Chinese crowdsourcing workforce, and those that do mainly focus... Read More about An Examination of the Work Practices of Crowdfarms.

First Steps Towards RAT: A Protocol for Documenting Data Use in the Agent-Based Modeling Process (2021)
Conference Proceeding
Siebers, P., Achter, S., Palaretti Bernardo, C., Borit, M., & Chattoe-Brown, E. (2021). First Steps Towards RAT: A Protocol for Documenting Data Use in the Agent-Based Modeling Process. In P. Ahrweiler, & M. Neumann (Eds.), Advances in Social Simulation: Proceedings of the 15th Social Simulation Conference: 23-27 September 2019 (257-261). https://doi.org/10.1007/978-3-030-61503-1_24

While there is a number of frameworks and protocols in Agent-Based Modeling (ABM) that support the documentation of different aspects of a simulation study, it is surprising to find only a small number dealing with the handling of data. Here we prese... Read More about First Steps Towards RAT: A Protocol for Documenting Data Use in the Agent-Based Modeling Process.

Dealing with Scarce Labelled Data: Semi-supervised Deep Learning with Mix Match for Covid-19 Detection Using Chest X-ray Images (2021)
Conference Proceeding
Calderon-Ramirez, S., Giri, R., Moemeni, A., Umaña, M., Elizondo, D., Torrents-Barrena, J., & Molina-Cabello, M. A. (2021). Dealing with Scarce Labelled Data: Semi-supervised Deep Learning with Mix Match for Covid-19 Detection Using Chest X-ray Images. In Proceedings of ICPR 2020 : 25th International Conference on Pattern Recognition. https://doi.org/10.1109/ICPR48806.2021.9412946

Coronavirus (Covid-19) is spreading fast, infecting people through contact in various forms including droplets from sneezing and coughing. Therefore, the detection of infected subjects in an early, quick and cheap manner is urgent. Currently availabl... Read More about Dealing with Scarce Labelled Data: Semi-supervised Deep Learning with Mix Match for Covid-19 Detection Using Chest X-ray Images.

Neural Network based Weighting Factor Selection of MPC for Optimal Battery and Load Management in MEA (2020)
Conference Proceeding
Wang, X., Gao, Y., Atkin, J., & Bozhko, S. (2020). Neural Network based Weighting Factor Selection of MPC for Optimal Battery and Load Management in MEA. . https://doi.org/10.23919/icems50442.2020.9290968

This paper presents a Neural Network (NN)-based weighting factor (WF) selection method for the multi-objective cost function in Model Predictive Control (MPC). MPC is adopted for scheduling the loads and charging/discharging the battery intelligently... Read More about Neural Network based Weighting Factor Selection of MPC for Optimal Battery and Load Management in MEA.

Following the journey of scores through a complex musical work (2020)
Conference Proceeding
Hazzard, A., Greenhalgh, C., & Kallionpää, M. (2020). Following the journey of scores through a complex musical work. In AM '20: Proceedings of the 15th International Audio Mostly Conference (249-252). https://doi.org/10.1145/3411109.3411116

We chart the composition and technical development of a non-linear, interactive work for pianist, Disklavier piano and interactive system called Climb!. Collaborating with a composer and performers we focus on the journey of score representations thr... Read More about Following the journey of scores through a complex musical work.

Acoustic topology optimisation using CMA-ES (2020)
Conference Proceeding
Ramamoorthy, V. T., Ozcan, E., Parkes, A., Sreekumar, A., Jaouen, L., & Becot, F. (2020). Acoustic topology optimisation using CMA-ES. In Proceedings of ISMA2020 International Conference on Noise and Vibration Engineering: USD2020 International Conference on Uncertainty in Structural Dynamics

Structural topology optimisation techniques are increasingly being applied to acoustic materials. Most acoustic topology optimisation applications use the solid-isotropic-material-with-penalization (SIMP) approach [1]–[4] which is a derivative-based... Read More about Acoustic topology optimisation using CMA-ES.

Optimal Weight Power System Design and Synthesis for More Electric Aircraft (2020)
Conference Proceeding
Recalde, A. A., Bozhko, S., & Atkin, J. (2020). Optimal Weight Power System Design and Synthesis for More Electric Aircraft. In AIAA Propulsion and Energy 2020 Forum. https://doi.org/10.2514/6.2020-3545

© 2020, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved. The synthesis of a power distribution architecture for More Electric Aircraft requires weight optimization in order to reduce energy consumption. The weight of... Read More about Optimal Weight Power System Design and Synthesis for More Electric Aircraft.

Linear Power Flow Characterization of DC Power Distribution Systems for MEA Optimization (2020)
Conference Proceeding
RECALDE, A., BOZHKO, S., & ATKIN, J. (2020). Linear Power Flow Characterization of DC Power Distribution Systems for MEA Optimization. In 2020 IEEE Transportation Electrification Conference & Expo (ITEC). https://doi.org/10.1109/ITEC48692.2020.9161584

The increased utilization of electrical energy in future aviation requires an efficient method to perform load flow for optimizing on-board operating conditions. Load flow models of electrical networks are complex to solve and requires iterative meth... Read More about Linear Power Flow Characterization of DC Power Distribution Systems for MEA Optimization.

An Adaptive Memetic P System to Solve the 0/1 Knapsack Problem (2020)
Conference Proceeding
Dong, J., Rong, H., Neri, F., Yang, Q., Zhu, M., & Zhang, G. (2020). An Adaptive Memetic P System to Solve the 0/1 Knapsack Problem. In Proceedings of the 2020 IEEE Congress on Evolutionary Computation (1-8). https://doi.org/10.1109/CEC48606.2020.9185841

© 2020 IEEE. Memetic Algorithms are traditionally composed of an evolutionary framework and one or more local search elements. However, modern generation Memetic Algorithms do not necessarily follow a pre-established scheme and are hybrid structures... Read More about An Adaptive Memetic P System to Solve the 0/1 Knapsack Problem.

FuzzyR: An Extended Fuzzy Logic Toolbox for the R Programming Language (2020)
Conference Proceeding
Chen, C., Razak, T. R., & Garibaldi, J. M. (2020). FuzzyR: An Extended Fuzzy Logic Toolbox for the R Programming Language. In 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (1-8). https://doi.org/10.1109/fuzz48607.2020.9177780

This paper presents an R package FuzzyR which is an extended fuzzy logic toolbox for the R programming language. FuzzyR is a continuation of the previous Fuzzy R toolboxes such as FuzzyToolkitUoN. Whilst keeping existing functionalities of the previo... Read More about FuzzyR: An Extended Fuzzy Logic Toolbox for the R Programming Language.