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All Outputs (156)

The complexity of growing a graph (2022)
Conference Proceeding
Mertzios, G., Michail, O., Skretas, G., Spirakis, P., & Theofilatos, M. (2022). The complexity of growing a graph. In ALGOSENSORS 2022: Algorithmics of Wireless Networks (123-137). https://doi.org/10.1007/978-3-031-22050-0_9

We study a new algorithmic process of graph growth. The process starts from a single initial vertex u0 and operates in discrete timesteps, called slots. In every slot t ≥ 1, the process updates the current graph instance to generate the next graph in... Read More about The complexity of growing a graph.

Skin Deep Unlearning: Artefact and Instrument Debiasing in the Context of Melanoma Classification (2022)
Conference Proceeding
Bevan, P., & Atapour-Abarghouei, A. (2022). Skin Deep Unlearning: Artefact and Instrument Debiasing in the Context of Melanoma Classification. In K. Chaudhuri, S. Jegelka, L. Song, C. Szepesvari, G. Niu, & S. Sabato (Eds.), Proceedings of Machine Learning Research (1874-1892)

Convolutional Neural Networks have demonstrated dermatologist-level performance in the classification of melanoma and other skin lesions, but prediction irregularities due to biases seen within the training data are an issue that should be addressed... Read More about Skin Deep Unlearning: Artefact and Instrument Debiasing in the Context of Melanoma Classification.

Demand side management considering household appliances and EV (2022)
Conference Proceeding
Dong, Z., Jiang, J., Qian, H., & Sun, H. (2022). Demand side management considering household appliances and EV. . https://doi.org/10.1109/icsgsc56353.2022.9963032

Combination of the information technology and the power engineering is the feature of next-generation grid. Depending on bidirectional communications, demand side management (DSM) aims at optimizing the electricity usage pattern of customers to impro... Read More about Demand side management considering household appliances and EV.

A Microgrid Management System Based on Metaheuristics Particle Swarm Optimization (2022)
Conference Proceeding
Deng, H., Jiang, J., Qian, H., & Sun, H. (2022). A Microgrid Management System Based on Metaheuristics Particle Swarm Optimization. . https://doi.org/10.1109/icsgsc56353.2022.9963000

Microgrid is playing an increasingly important role in making the utility grid more intelligent and efficient, since it can make better use of the renewable energy resources to simultaneously relieve the grid supply pressure and reduce carbon emissio... Read More about A Microgrid Management System Based on Metaheuristics Particle Swarm Optimization.

STIT: Spatio-Temporal Interaction Transformers for Human-Object Interaction Recognition in Videos (2022)
Conference Proceeding
Almushyti, M., & Li, F. W. (2022). STIT: Spatio-Temporal Interaction Transformers for Human-Object Interaction Recognition in Videos. . https://doi.org/10.1109/icpr56361.2022.9956030

Recognizing human-object interactions is challenging due to their spatio-temporal changes. We propose the SpatioTemporal Interaction Transformer-based (STIT) network to reason such changes. Specifically, spatial transformers learn humans and objects... Read More about STIT: Spatio-Temporal Interaction Transformers for Human-Object Interaction Recognition in Videos.

A Continuous Variable Quantum Switch (2022)
Conference Proceeding
Tillman, I., Vasantam, T., & Seshadreesan, K. P. (2022). A Continuous Variable Quantum Switch. . https://doi.org/10.1109/qce53715.2022.00057

The continuous quadratures of a single mode of the light field present a promising avenue to encode quantum information. By virtue of the infinite dimensionality of the associated Hilbert space, quantum states of these continuous variables (CV) can e... Read More about A Continuous Variable Quantum Switch.

Protecting privacy in microgrids using federated learning and deep reinforcement learning (2022)
Conference Proceeding
Chen, W., Sun, H., Jiang, J., You, M., & Piper, W. (2022). Protecting privacy in microgrids using federated learning and deep reinforcement learning. . https://doi.org/10.1049/icp.2023.0100

This paper aims to improve the energy management efficiency of home microgrids while preserving privacy. The proposed microgrid model includes energy storage systems, PV panels, loads, and the connection to the main grid. A federated multi-objective... Read More about Protecting privacy in microgrids using federated learning and deep reinforcement learning.

Appliance Scheduling Optimisation Method Using Historical Data in Households with RES Generation and Battery Storage Systems (2022)
Conference Proceeding
Correa-Delval, M., Sun, H., Matthews, P. C., & Chiu, W. (2022). Appliance Scheduling Optimisation Method Using Historical Data in Households with RES Generation and Battery Storage Systems. . https://doi.org/10.1109/repe55559.2022.9949497

In recent years, the importance of reducing carbon dioxide (CO2) emissions has increased. With the use of technologies such as artificial intelligence, we can improve the way households manage their energy use to decrease cost and carbon emissions. I... Read More about Appliance Scheduling Optimisation Method Using Historical Data in Households with RES Generation and Battery Storage Systems.

Few induced disjoint paths for H-free graphs (2022)
Conference Proceeding
Martin, B., Paulusma, D., Smith, S., & van Leeuwen, E. (2022). Few induced disjoint paths for H-free graphs. In I. Ljubić, F. Barahona, S. S. Dey, & A. Ridha Mahjoub (Eds.), Combinatorial Optimization 7th International Symposium, ISCO 2022 (89-101). https://doi.org/10.1007/978-3-031-18530-4_7

Paths P 1 , . . . , P k in a graph G = (V, E) are mutually induced if any two distinct P i and P j have neither common vertices nor adjacent vertices. For a fixed integer k, the k-Induced Disjoint Paths problem is to decide if a graph G with k pairs... Read More about Few induced disjoint paths for H-free graphs.

VID-Trans-ReID: Enhanced Video Transformers for Person Re-identification (2022)
Conference Proceeding
Alsehaim, A., & Breckon, T. (2022). VID-Trans-ReID: Enhanced Video Transformers for Person Re-identification.

Video-based person Re-identification (Re-ID) has received increasing attention recently due to its important role within surveillance video analysis. Video-based Re- ID expands upon earlier image-based methods by extracting person features temporally... Read More about VID-Trans-ReID: Enhanced Video Transformers for Person Re-identification.

A Skeleton-aware Graph Convolutional Network for Human-Object Interaction Detection (2022)
Conference Proceeding
Zhu, M., Ho, E. S., & Shum, H. P. (2022). A Skeleton-aware Graph Convolutional Network for Human-Object Interaction Detection. . https://doi.org/10.1109/smc53654.2022.9945149

Detecting human-object interactions is essential for comprehensive understanding of visual scenes. In particular, spatial connections between humans and objects are important cues for reasoning interactions. To this end, we propose a skeleton-aware g... Read More about A Skeleton-aware Graph Convolutional Network for Human-Object Interaction Detection.

A Localisation Study of Deep Learning Models for Chest X-ray Image Classification (2022)
Conference Proceeding
Gascoigne-Burns, J., & Katsigiannis, S. (2022). A Localisation Study of Deep Learning Models for Chest X-ray Image Classification. . https://doi.org/10.1109/bhi56158.2022.9926904

Deep learning models have demonstrated superhuman performance in a multitude of image classification tasks, including the classification of chest X-ray images. Despite this, medical professionals are reluctant to embrace these models in clinical sett... Read More about A Localisation Study of Deep Learning Models for Chest X-ray Image Classification.

A Feasibility Study on Image Inpainting for Non-cleft Lip Generation from Patients with Cleft Lip (2022)
Conference Proceeding
Chen, S., Atapour-Abarghouei, A., Kerby, J., Ho, E. S., Sainsbury, D. C., Butterworth, S., & Shum, H. P. (2022). A Feasibility Study on Image Inpainting for Non-cleft Lip Generation from Patients with Cleft Lip. . https://doi.org/10.1109/bhi56158.2022.9926917

A Cleft lip is a congenital abnormality requiring surgical repair by a specialist. The surgeon must have extensive experience and theoretical knowledge to perform surgery, and Artificial Intelligence (AI) method has been proposed to guide surgeons in... Read More about A Feasibility Study on Image Inpainting for Non-cleft Lip Generation from Patients with Cleft Lip.

Towards Graph Representation Learning Based Surgical Workflow Anticipation (2022)
Conference Proceeding
Zhang, X., Al Moubayed, N., & Shum, H. P. (2022). Towards Graph Representation Learning Based Surgical Workflow Anticipation. . https://doi.org/10.1109/bhi56158.2022.9926801

Surgical workflow anticipation can give predictions on what steps to conduct or what instruments to use next, which is an essential part of the computer-assisted intervention system for surgery, e.g. workflow reasoning in robotic surgery. However, cu... Read More about Towards Graph Representation Learning Based Surgical Workflow Anticipation.

Does lossy image compression affect racial bias within face recognition? (2022)
Conference Proceeding
Yucer, S., Poyser, M., Al Moubayed, N., & Breckon, T. (2022). Does lossy image compression affect racial bias within face recognition?.

This study investigates the impact of commonplace lossy image compression on face recognition algorithms with regard to the racial characteristics of the subject. We adopt a recently proposed racial phenotype-based bias analysis methodology to measur... Read More about Does lossy image compression affect racial bias within face recognition?.

SOS: Systematic Offensive Stereotyping Bias in Word Embeddings (2022)
Conference Proceeding
Elsafoury, F., Wilson, S. R., Katsigiannis, S., & Ramzan, N. (2022). SOS: Systematic Offensive Stereotyping Bias in Word Embeddings.

Systematic Offensive stereotyping (SOS) in word embeddings could lead to associating marginalised groups with hate speech and profanity, which might lead to blocking and silencing those groups, especially on social media platforms. In this [id=stk]wo... Read More about SOS: Systematic Offensive Stereotyping Bias in Word Embeddings.

History-aware explanations: towards enabling human-in-the-loop in self-adaptive systems (2022)
Conference Proceeding
Parra-Ullauri, J., Garcia-Dominguez, A., Bencomo, N., & Garcia Paucar, L. (2022). History-aware explanations: towards enabling human-in-the-loop in self-adaptive systems. . https://doi.org/10.1145/3550356.3561538

The complexity of real-world problems requires modern software systems to autonomously adapt and modify their behaviour at run time to deal with internal and external challenges and contexts. Consequently, these self-adaptive systems (SAS) can show u... Read More about History-aware explanations: towards enabling human-in-the-loop in self-adaptive systems.

Geometric Features Informed Multi-person Human-object Interaction Recognition in Videos (2022)
Conference Proceeding
Qiao, T., Men, Q., Li, F. W., Kubotani, Y., Morishima, S., & Shum, H. P. (2022). Geometric Features Informed Multi-person Human-object Interaction Recognition in Videos. . https://doi.org/10.1007/978-3-031-19772-7_28

Human-Object Interaction (HOI) recognition in videos is important for analysing human activity. Most existing work focusing on visual features usually suffer from occlusion in the real-world scenarios. Such a problem will be further complicated when... Read More about Geometric Features Informed Multi-person Human-object Interaction Recognition in Videos.