Outputs (2250)

SoftED: Metrics for soft evaluation of time series event detection (2024)
Journal Article
Salles, R., Lima, J., Reis, M., Coutinho, R., Pacitti, E., Masseglia, F., Akbarinia, R., Chen, C., Garibaldi, J., Porto, F., & Ogasawara, E. (2024). SoftED: Metrics for soft evaluation of time series event detection. Computers and Industrial Engineering, 198, Article 110728. https://doi.org/10.1016/j.cie.2024.110728

Time series event detectors are evaluated mainly by standard classification metrics, focusing solely on detection accuracy. However, inaccuracy in detecting an event can often result from its preceding or delayed effects reflected in neighboring dete... Read More about SoftED: Metrics for soft evaluation of time series event detection.

Classifying Human Movement Using Discrete Fréchet and DTW Distances (2024)
Presentation / Conference Contribution
Akitaya, H. A., Carlos, J., De Almeida, C., Fonseca, L., & Shahrouzi, G. (2024, November). Classifying Human Movement Using Discrete Fréchet and DTW Distances. Presented at 31st Annual Fall Workshop on Computational Geometry, Tufts University, Medford, MA, USA

Individuals with motor disabilities often rely on assistive devices for support. However, conditions that affect upper limbs, particularly hand function, pose a challenge in the user interface design. In this context, inertial sensor-based movement c... Read More about Classifying Human Movement Using Discrete Fréchet and DTW Distances.

Augmenting musical instruments with digital identities (2024)
Journal Article
Benford, S., McGarry, G., Hazzard, A., Chamberlain, A., Gibson, R., & Avila, J. P. M. (2024). Augmenting musical instruments with digital identities. Journal of New Music Research, https://doi.org/10.1080/09298215.2024.2423613

We explore how augmenting musical instruments with digital identities can enhance their provenance, utility during creative practice, and personal meaning. A literature review reveals the importance of object identities in general and instrument iden... Read More about Augmenting musical instruments with digital identities.

Addressing E-Waste: Repair Café Processes as Barriers to Repair of Smart Devices (2024)
Journal Article
Castle-Green, T., & Sailaja, N. (2024). Addressing E-Waste: Repair Café Processes as Barriers to Repair of Smart Devices. BASE - Revista de Administração e Contabilidade da Unisinos, 9(10), 150-161. https://doi.org/10.52611/bdi.num10.2024.999

Electronic waste, commonly referred to as e-waste, is a health and environmental hazard that affects many people and ecosystems around the world. As the volume of e-waste continues to surge, it is imperative this issue is addressed. Contributing to t... Read More about Addressing E-Waste: Repair Café Processes as Barriers to Repair of Smart Devices.

Root metaxylem area influences drought tolerance and transpiration in pearl millet in a soil texture dependent manner (2024)
Preprint / Working Paper
Affortit, P., Faye, A., Jones, D. H., Benson, E., Sine, B., Burridge, J., Ndoye, M. S., Barry, L., Moukouanga, D., Barnard, S., Bhosale, R., Pridmore, T., Gantet, P., Vadez, V., Cubry, P., Kane, N., Bennett, M., Atkinson, J. A., Laplaze, L., Wells, D. M., & Grondin, A. (2024). Root metaxylem area influences drought tolerance and transpiration in pearl millet in a soil texture dependent manner

Pearl millet is a key cereal for food security in drylands but its yield is strongly impacted by drought. We investigated how root anatomical traits contribute to mitigating the effects of vegetative drought stress in pearl millet.

We examined ass... Read More about Root metaxylem area influences drought tolerance and transpiration in pearl millet in a soil texture dependent manner.

Learning-guided cross-sampling for large-scale evolutionary multi-objective optimization (2024)
Journal Article
Wang, H., Chen, L., Hao, X., Qu, R., Zhou, W., Wang, D., & Liu, W. (2024). Learning-guided cross-sampling for large-scale evolutionary multi-objective optimization. Swarm and Evolutionary Computation, 91, Article 101763. https://doi.org/10.1016/j.swevo.2024.101763

When tackling large-scale multi-objective problems (LSMOPs), the computational budget could be wasted by traditional offspring generators that explore the search space in a nearly directionless manner, impairing the efficiency of many existing algori... Read More about Learning-guided cross-sampling for large-scale evolutionary multi-objective optimization.

Synchronization Is All You Need: Exocentric-to-Egocentric Transfer for Temporal Action Segmentation with Unlabeled Synchronized Video Pairs (2024)
Presentation / Conference Contribution
Quattrocchi, C., Furnari, A., Di Mauro, D., Giuffrida, M. V., & Farinella, G. M. (2024, September). Synchronization Is All You Need: Exocentric-to-Egocentric Transfer for Temporal Action Segmentation with Unlabeled Synchronized Video Pairs. Presented at Computer Vision – ECCV 2024: 18th European Conference, Milan, Italy

We consider the problem of transferring a temporal action segmentation system initially designed for exocentric (fixed) cameras to an egocentric scenario, where wearable cameras capture video data. The conventional supervised approach requires the co... Read More about Synchronization Is All You Need: Exocentric-to-Egocentric Transfer for Temporal Action Segmentation with Unlabeled Synchronized Video Pairs.

Small and medium enterprises will use generative AI. But how can they be helped to implement it properly? (2024)
Report
Ochang, P., Eke, D., Stahl, B., Buckley, . M., Poder, I., & Hughes, J. (2024). Small and medium enterprises will use generative AI. But how can they be helped to implement it properly?. ESPRC and RAI UK

Generative AI is changing the way our economies and businesses operate, and SMEs could be receiving more benefits from this transition. Over the past 12 months in the Responsible Generative AI for SMEs in UK and Africa (RAISE) project we have been wo... Read More about Small and medium enterprises will use generative AI. But how can they be helped to implement it properly?.

Responsible Generative AI for SMEs in UK and Africa (RAISE) : First Virtual Human Centric Design Workshop Report (2024)
Report
Ochang, P., Stahl, B., Eke, D., & Cameron, H. Responsible Generative AI for SMEs in UK and Africa (RAISE) : First Virtual Human Centric Design Workshop Report. ESPRC and RAI UK

On the 1st of July 2024, the Responsible Generative AI for SMEs in the UK and Africa (RAISE) project hosted its inaugural workshop, bringing together small and medium-sized enterprises (SMEs) from the United Kingdom and Africa. The workshop focused o... Read More about Responsible Generative AI for SMEs in UK and Africa (RAISE) : First Virtual Human Centric Design Workshop Report.

Machine Learning Pipeline for Energy and Environmental Prediction in Cold Storage Facilities (2024)
Journal Article
Alkhulaifi, N., Bowler, A. L., Pekaslan, D., Serdaroglu, G., Closs, S., Watson, N. J., & Triguero, I. (2024). Machine Learning Pipeline for Energy and Environmental Prediction in Cold Storage Facilities. IEEE Access, 12, 153935-153951. https://doi.org/10.1109/access.2024.3482572

As energy demands and costs rise, enhancing energy efficiency in Food and Drink Cold Storage (FDCS) rooms is important for reducing expenses and achieving environmental sustainability ambitions. Forecasting electricity use in FDCSs can help optimise... Read More about Machine Learning Pipeline for Energy and Environmental Prediction in Cold Storage Facilities.