Outputs (110)

Performance Analysis of Support Vector Machine-Based Classifier for Spectrum Sensing in Cognitive Radio Networks (2018)
Conference Proceeding
Jan, S. U., Vu, V. H., & Koo, I. S. (2018). Performance Analysis of Support Vector Machine-Based Classifier for Spectrum Sensing in Cognitive Radio Networks. In 2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC)-. https://doi.org/10.1109/cyberc.2018.00075

In this work, the performance of support vector machine (SVM)-based classifier, applied for spectrum sensing in cognitive radio (CR) networks, is analyzed. A single observation given input to classifier is composed of three statistical features extra... Read More about Performance Analysis of Support Vector Machine-Based Classifier for Spectrum Sensing in Cognitive Radio Networks.

Cooperation in Repeated Rock-Paper-Scissors Games in Uncertain Environments (2018)
Conference Proceeding
Andras, P. (2018). Cooperation in Repeated Rock-Paper-Scissors Games in Uncertain Environments. In ALIFE 2018: The 2018 Conference on Artificial Life (404-411). https://doi.org/10.1162/isal_a_00078

Cooperation among selfish individuals provides the fundamentals for social organization among animals and humans. Cooperation games capture this behavior at an abstract level and provide the tools for the analysis of the evolution of cooperation. Her... Read More about Cooperation in Repeated Rock-Paper-Scissors Games in Uncertain Environments.

Preface (2018)
Conference Proceeding
Ren, J., Hussain, A., Zheng, J., Liu, C., Luo, B., Zhao, H., & Zhao, X. (2018). Preface. In Advances in Brain Inspired Cognitive Systems (V-VI). https://doi.org/10.1007/978-3-030-00563-4

DNN driven speaker independent audio-visual mask estimation for speech separation (2018)
Conference Proceeding
Gogate, M., Adeel, A., Marxer, R., Barker, J., & Hussain, A. (2018). DNN driven speaker independent audio-visual mask estimation for speech separation. In Proceedings of the Annual Conference of the International Speech Communication Association (2723-2727). https://doi.org/10.21437/Interspeech.2018-2516

Learning from limited datasets: Implications for Natural Language Generation and Human-Robot Interaction (2018)
Conference Proceeding
Belakova, J., & Gkatzia, D. (2018). Learning from limited datasets: Implications for Natural Language Generation and Human-Robot Interaction. In Proceedings of the Workshop on NLG for Human–Robot Interaction (8-11)

One of the most natural ways for human robot communication is through spoken language. Training human-robot interaction systems require access to large datasets which are expensive to obtain and labour intensive. In this paper, we des... Read More about Learning from limited datasets: Implications for Natural Language Generation and Human-Robot Interaction.

Proceedings of the Workshop on NLG for Human–Robot Interaction (2018)
Conference Proceeding
(2018). Proceedings of the Workshop on NLG for Human–Robot Interaction. In M. Ellen Foster, H. Buschmeier, & D. Gkatzia (Eds.),

Ellen Foster, M., H. Buschmeier, & D. Gkatzia (Eds.) (2018). Proceedings of the Workshop on NLG for Human–Robot Interaction.

A tool for generating synthetic data (2018)
Conference Proceeding
Peng, T., & Telle, A. (2018). A tool for generating synthetic data. In DATA '18 Proceedings of the First International Conference on Data Science, E-learning and Information Systems. https://doi.org/10.1145/3279996.3280018

It is popular to use real-world data to evaluate data mining techniques. However, there are some disadvantages to use real-world data for such purposes. Firstly, real-world data in most domains is difficult to obtain for several reasons, such as budg... Read More about A tool for generating synthetic data.

Applications of Evolutionary Computation (2018)
Conference Proceeding
(2018). Applications of Evolutionary Computation. In K. Sim, & P. Kaufmann (Eds.), Applications of Evolutionary Computation. https://doi.org/10.1007/978-3-319-77538-8

This book constitutes the refereed conference proceedings of the 21st International Conference on the Applications of Evolutionary Computation, EvoApplications 2018, held in Parma, Italy, in April 2018, collocated with the Evo* 2018 events EuroGP, Ev... Read More about Applications of Evolutionary Computation.

A Look at the Effects of Handheld and Projected Augmented-reality on a Collaborative Task (2018)
Conference Proceeding
Mackamul, E. B., & Esteves, A. (2018). A Look at the Effects of Handheld and Projected Augmented-reality on a Collaborative Task. In SUI '18 Symposium on Spatial User Interaction. https://doi.org/10.1145/3267782.3267793

This paper presents a comparative study between two popular AR systems during a collocated collaborative task. The goal of the study is to start a body of knowledge that describes the effects of different AR approaches in users' experience and perfor... Read More about A Look at the Effects of Handheld and Projected Augmented-reality on a Collaborative Task.

Get Your Project Funded: Using Biometric Data to Understand What Makes People Trust and Support Crowdfunding Campaigns (2018)
Conference Proceeding
Mcneill, M., Lawson, A., Raeside, R., & Peisl, T. (2018). Get Your Project Funded: Using Biometric Data to Understand What Makes People Trust and Support Crowdfunding Campaigns. In Proceedings of the 32nd International BCS Human Computer Interaction Conference (HCI 2018). https://doi.org/10.14236/ewic/HCI2018.127

Creating a good crowdfunding campaign is difficult. By understanding why people contribute to crowdfunding campaigns we can make campaigns better and raise more money. Crowdfunding websites allow entrepreneurs to make a pitch, which is watched by pot... Read More about Get Your Project Funded: Using Biometric Data to Understand What Makes People Trust and Support Crowdfunding Campaigns.