Outputs (122)

Clustering-Based Representation Learning through Output Translation and Its Application to Remote-Sensing Images (2022)
Journal Article
Li, Q., Li, B., Garibaldi, J. M., & Qiu, G. (2022). Clustering-Based Representation Learning through Output Translation and Its Application to Remote-Sensing Images. Remote Sensing, 14(14), Article 3361. https://doi.org/10.3390/rs14143361

In supervised deep learning, learning good representations for remote-sensing images (RSI) relies on manual annotations. However, in the area of remote sensing, it is hard to obtain huge amounts of labeled data. Recently, self-supervised learning sho... Read More about Clustering-Based Representation Learning through Output Translation and Its Application to Remote-Sensing Images.

A Collaborative Learning Tracking Network for Remote Sensing Videos (2022)
Journal Article
Li, X., Jiao, L., Zhu, H., Liu, F., Yang, S., Zhang, X., Wang, S., & Qu, R. (2023). A Collaborative Learning Tracking Network for Remote Sensing Videos. IEEE Transactions on Cybernetics, 53(3), 1954-1967. https://doi.org/10.1109/TCYB.2022.3182993

With the increasing accessibility of remote sensing videos, remote sensing tracking is gradually becoming a hot issue. However, accurately detecting and tracking in complex remote sensing scenes is still a challenge. In this article, we propose a col... Read More about A Collaborative Learning Tracking Network for Remote Sensing Videos.

Identifying Chirality in Line Drawings of Molecules Using Imbalanced Dataset Sampler for a Multilabel Classification Task (2022)
Journal Article
Kok, Y. E., Woodward, S., Özcan, E., & Torres Torres, M. (2022). Identifying Chirality in Line Drawings of Molecules Using Imbalanced Dataset Sampler for a Multilabel Classification Task. Molecular Informatics, 41(12), Article 2200068. https://doi.org/10.1002/minf.202200068

Chirality, the ability of some molecules to exist as two non-superimposable mirror images, profoundly influences both chemistry and biology. Advances in deep learning enable the automatic recognition of chemical structure diagrams, however, studies o... Read More about Identifying Chirality in Line Drawings of Molecules Using Imbalanced Dataset Sampler for a Multilabel Classification Task.

Evaluation of synthetic aerial imagery using unconditional generative adversarial networks (2022)
Journal Article
Yates, M., Hart, G., Houghton, R., Torres Torres, M., & Pound, M. (2022). Evaluation of synthetic aerial imagery using unconditional generative adversarial networks. ISPRS Journal of Photogrammetry and Remote Sensing, 190, 231-251. https://doi.org/10.1016/j.isprsjprs.2022.06.010

Image generation techniques, such as generative adversarial networks (GANs), have become sufficiently sophisticated to cause growing concerns around the authenticity of images in the public domain. Although these generation techniques have been appli... Read More about Evaluation of synthetic aerial imagery using unconditional generative adversarial networks.

Understanding Trust and Sustained Use or Abandonment after a Year with the NHS Covid-19 Contact Tracing App in the United Kingdom: A Longitudinal Mixed-Method Study (2022)
Preprint / Working Paper
Pepper, C., Reyes-Cruz, G., Pena, A. R., Dowthwaite, L., Babbage, C. M., Wagner, H. G., Nichele, E., & Fischer, J. E. Understanding Trust and Sustained Use or Abandonment after a Year with the NHS Covid-19 Contact Tracing App in the United Kingdom: A Longitudinal Mixed-Method Study

Background: Digital contact tracing (DCT) apps have been recently implemented widely as a response to the Covid-19 pandemic. Research has focused on understanding the acceptance and adoption of these apps, but more work is needed to understand which... Read More about Understanding Trust and Sustained Use or Abandonment after a Year with the NHS Covid-19 Contact Tracing App in the United Kingdom: A Longitudinal Mixed-Method Study.

DCMS Response To Call Connected Tech Smart Or Sinister Horizon (2022)
Other
McAuley, D., Crabtree, A., Piskopani, A. M., Chen, J., & Urquhart, L. DCMS Response To Call Connected Tech Smart Or Sinister Horizon

Identify Patterns in Online Bin Packing Problem: An Adaptive Pattern-Based Algorithm (2022)
Journal Article
Lin, B., Li, J., Bai, R., Qu, R., Cui, T., & Jin, H. (2022). Identify Patterns in Online Bin Packing Problem: An Adaptive Pattern-Based Algorithm. Symmetry, 14(7), Article 1301. https://doi.org/10.3390/sym14071301

Bin packing is a typical optimization problem with many real-world application scenarios. In the online bin packing problem, a sequence of items is revealed one at a time, and each item must be packed into a bin immediately after its arrival. Inspire... Read More about Identify Patterns in Online Bin Packing Problem: An Adaptive Pattern-Based Algorithm.

Perceptions of Cognitive Training Games and Assessment Technologies for Dementia: Acceptability Study with Patient and Public Involvement Workshops (2022)
Journal Article
Harrington, K., Craven, M. P., Wilson, M. L., & Landowska, A. (2022). Perceptions of Cognitive Training Games and Assessment Technologies for Dementia: Acceptability Study with Patient and Public Involvement Workshops. JMIR Serious Games, 10(2), Article e32489. https://doi.org/10.2196/32489

Background: Cognitive training and assessment technologies offer the promise of dementia risk reduction and a more timely diagnosis of dementia, respectively. Cognitive training games may help reduce the lifetime risk of dementia by helping to build... Read More about Perceptions of Cognitive Training Games and Assessment Technologies for Dementia: Acceptability Study with Patient and Public Involvement Workshops.

Navigating Incommensurability Between Ethnomethodology, Conversation Analysis, and Artificial Intelligence (2022)
Preprint / Working Paper
Reeves, S. Navigating Incommensurability Between Ethnomethodology, Conversation Analysis, and Artificial Intelligence

Like many research communities, ethnomethodologists and conversation analysts have begun to get caught up -- yet again -- in the pervasive spectacle of surging interests in Artificial Intelligence (AI). Inspired by discussions amongst a growing netwo... Read More about Navigating Incommensurability Between Ethnomethodology, Conversation Analysis, and Artificial Intelligence.

Being (A)part of NIME: Embracing Latin American Perspectives (2022)
Presentation / Conference Contribution
Martinez Avila, J. P., Tragtenberg, J., Calegario, F., Alarcon, X., Cadavid Hinojosa, L. P., Corintha, I., Dannemann, T., Jaimovich, J., Marquez-Borbon, A., Matus Lerner, M., Ortiz, M., Ramos, J., & Solís García, H. (2022, June). Being (A)part of NIME: Embracing Latin American Perspectives. Presented at NIME 2022: New Interfaces for Musical Expression, The University of Auckland, New Zealand

Latin American (LATAM) contributions to Music Technology date back to the early 1940’s. However, as evidenced in historical analyses of NIME, the input from LATAM institutions to its proceedings is considerably low, even when the conference was recen... Read More about Being (A)part of NIME: Embracing Latin American Perspectives.