Outputs (216)

AMNet: Memorability Estimation with Attention (2018)
Presentation / Conference Contribution
Fajtl, J., Argyriou, V., Monekosso, D., & Remagnino, P. (2018). AMNet: Memorability Estimation with Attention. . https://doi.org/10.1109/cvpr.2018.00666

Use of Machine Learning for Rate Adaptation in MPEG-DASH for Quality of Experience Improvement (2018)
Presentation / Conference Contribution
Alzahrani, I. R., Ramzan, N., Katsigiannis, S., & Amira, A. (2018). Use of Machine Learning for Rate Adaptation in MPEG-DASH for Quality of Experience Improvement. . https://doi.org/10.1007/978-3-319-78753-4

Object 3D Reconstruction based on Photometric Stereo and Inverted Rendering (2018)
Presentation / Conference Contribution
Khadka, A. R., Remagnino, P., & Argyriou, V. (2018). Object 3D Reconstruction based on Photometric Stereo and Inverted Rendering. In G. DiBaja, L. Gallo, K. Yetongnon, A. Dipanda, M. CastrillonSantana, & R. Chbeir (Eds.), . https://doi.org/10.1109/sitis.2018.00039

AdCaS: Adaptive Caching for Storage Space Analysis Using Content Centric Networking (2018)
Presentation / Conference Contribution
Gulati, A., Aujla, G. S., Kumar, N., Obaidat, M. S., & Ahmed, S. H. (2018). AdCaS: Adaptive Caching for Storage Space Analysis Using Content Centric Networking. . https://doi.org/10.1109/glocomw.2018.8644368

A deep convolutional auto-encoder with embedded clustering (2018)
Presentation / Conference Contribution
Alqahtani, A., Xie, X., Deng, J., & Jones, M. W. (2018). A deep convolutional auto-encoder with embedded clustering. . https://doi.org/10.1109/icip.2018.8451506

Exploring an Approach for Grouping through Predicting Group Performance from Analysis of Learner Characteristics (2018)
Presentation / Conference Contribution
Wang, J., & Kojima, K. (2018). Exploring an Approach for Grouping through Predicting Group Performance from Analysis of Learner Characteristics. . https://doi.org/10.1109/iiai-aai.2018.00062

In this paper, we present a mathematical model for forming heterogeneous groups of learners under different teaching strategies. This model requires a formulation which can effectively predict the learning performance of cooperative learning groups.... Read More about Exploring an Approach for Grouping through Predicting Group Performance from Analysis of Learner Characteristics.

Applying Computational Analysis to Textual Data from the Wild (2018)
Presentation / Conference Contribution
Concannon, S. J., Balaam, M., Simpson, E., & Comber, R. (2018). Applying Computational Analysis to Textual Data from the Wild. . https://doi.org/10.1145/3173574.3173800

Deterministic Dispersion of Mobile Robots in Dynamic Rings (2018)
Presentation / Conference Contribution
Agarwalla, A., Augustine, J., Moses Jr., W. K., Sankar K., M., & Sridhar, A. K. (2018). Deterministic Dispersion of Mobile Robots in Dynamic Rings. . https://doi.org/10.1145/3154273.3154294

Making sense of sensors: mobile sensor security awareness and education (2018)
Presentation / Conference Contribution
Mehrnezhad, M., Toreini, E., & Alajrami, S. (2018). Making sense of sensors: mobile sensor security awareness and education.

Affect Detection for Human-Horse Interaction (2018)
Presentation / Conference Contribution
Althobaiti, T., Katsigiannis, S., West, D., Bronte-Stewart, M., & Ramzan, N. (2018). Affect Detection for Human-Horse Interaction. . https://doi.org/10.1109/ncg.2018.8593113