Zobrazeno 1 - 10
of 93
pro vyhledávání: '"G700 Artificial Intelligence"'
Deep learning architecture with convolutional neural network (CNN) achieves outstanding success in the field of computer vision. Where U-Net, an encoder-decoder architecture structured by CNN, makes a great breakthrough in biomedical image segmentati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b53a4de407b3e565d4ea4017ba981b2e
https://eprints.lincoln.ac.uk/id/eprint/53257/1/1-s2.0-S0010482523000914-main.pdf
https://eprints.lincoln.ac.uk/id/eprint/53257/1/1-s2.0-S0010482523000914-main.pdf
Harmonizing the analysis of data, especially of 3-D image volumes, consisting of different number of slices and annotated per volume, is a significant problem in training and using deep neural networks in various applications, including medical imagi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::af87c16476bdf9d31ad621003b9ea9db
http://arxiv.org/abs/2303.00175
http://arxiv.org/abs/2303.00175
Following the success of Natural Language Processing (NLP) transformers pretrained via self-supervised learning, similar models have been proposed recently for speech processing such as Wav2Vec2, HuBERT and UniSpeech-SAT. An interesting yet unexplore
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a6d2d9d009d532f7c8e756a9d4f8cdc5
https://eprints.lincoln.ac.uk/id/eprint/52689/1/Audio_Embedding-Aware_Dialogue_Policy_Learning.pdf
https://eprints.lincoln.ac.uk/id/eprint/52689/1/Audio_Embedding-Aware_Dialogue_Policy_Learning.pdf
Autor:
Helen, Harman, Elizabeth I, Sklar
Multi-agent task allocation methods seek to distribute a set of tasks fairly amongst a set of agents. In real-world settings, such as soft fruit farms, human labourers undertake harvesting tasks. The harvesting workforce is typically organised by far
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::635aaa11160989e765c9cd25274f783c
https://eprints.lincoln.ac.uk/id/eprint/52212/1/HARMAN_SKLAR_frontiers_journal_accepted-1.pdf
https://eprints.lincoln.ac.uk/id/eprint/52212/1/HARMAN_SKLAR_frontiers_journal_accepted-1.pdf
Autor:
Raza, Sajjadali, Cuayahuitl, Heriberto
Publikováno v:
International Journal of Speech Technology.
Existing literature on speech activity detection (SAD) highlights different approaches within neural networks but does not provide a comprehensive comparison to these methods. This is important because such neural approaches often require hardware-in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5de324f47f3f3bcf163dffb09975b5b2
https://doi.org/10.1007/s10772-021-09956-3
https://doi.org/10.1007/s10772-021-09956-3
The impact of the implementation of artificial intelligence (AI) on workers’ experiences remains underexamined. Although AI-enhanced processes can benefit workers (e.g., by assisting with exhausting or dangerous tasks), they can also elicit psychol
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::63d7b52043c6392581764581a366327d
https://eprints.lincoln.ac.uk/id/eprint/49840/1/09637214221091823.pdf
https://eprints.lincoln.ac.uk/id/eprint/49840/1/09637214221091823.pdf
Publikováno v:
Neurocomputing. 433:300-309
Current approaches that generate text from linked data for complex real-world domains can face problems including rich and sparse vocabularies as well as learning from examples of long varied sequences. In this article, we propose a novel divide-and-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b4745b884edb1f16fdffd077a1df50e5
https://doi.org/10.1016/j.neucom.2020.12.083
https://doi.org/10.1016/j.neucom.2020.12.083
Publikováno v:
Kokciyan, N, Sassoon, I, Sklar, E, Modgil, S & Parsons, S 2021, ' Applying Metalevel Argumentation Frameworksto Support Medical Decision Making ', IEEE Intelligent Systems, vol. 36, no. 2, pp. 64-71 . https://doi.org/10.1109/MIS.2021.3051420
People are increasingly employing artificial intelligence as the basis for decision-support systems (DSSs) to assist them in making well-informed decisions. Adoption of DSS is challenging when such systems lack support, or evidence, for justifying th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b75ae62b56320182d4b9b747ee719db7
https://doi.org/10.1109/mis.2021.3051420
https://doi.org/10.1109/mis.2021.3051420
Marker-less motion capture is a rapidly advancing field that can take simple RGB image sequences, or more advanced Red Green Blue Depth (RGB-D) image sequences obtained using depth sensors, and outputs an estimated human pose. This method of human po
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::da049643c73126bda734645dcc8cbc30
https://eprints.lincoln.ac.uk/id/eprint/48031/1/novel-clinical-applications-of-markerless-motion-capture-as-a-lowcost-humanmotion-analysis-method-in-the-detection-and-t.pdf
https://eprints.lincoln.ac.uk/id/eprint/48031/1/novel-clinical-applications-of-markerless-motion-capture-as-a-lowcost-humanmotion-analysis-method-in-the-detection-and-t.pdf
Autor:
Magd Badaoui, Pedro J. Buigues, Dénes Berta, Gaurav M. Mandana, Hankang Gu, Tamás Földes, Callum J. Dickson, Viktor Hornak, Mitsunori Kato, Carla Molteni, Simon Parsons, Edina Rosta
Publikováno v:
Journal of Chemical Theory and Computation
Badaoui, M, Buigues, P J, Berta, D, Mandana, G M, Gu, H, Földes, T, Dickson, C J, Hornak, V, Kato, M, Molteni, C, Parsons, S & Rosta, E 2022, ' Combined Free-Energy Calculation and Machine Learning Methods for Understanding Ligand Unbinding Kinetics ', Journal of Chemical Theory and Computation, vol. 18, no. 4, pp. 2543-2555 . https://doi.org/10.1021/acs.jctc.1c00924
Badaoui, M, Buigues, P J, Berta, D, Mandana, G M, Gu, H, Földes, T, Dickson, C J, Hornak, V, Kato, M, Molteni, C, Parsons, S & Rosta, E 2022, ' Combined Free-Energy Calculation and Machine Learning Methods for Understanding Ligand Unbinding Kinetics ', Journal of Chemical Theory and Computation, vol. 18, no. 4, pp. 2543-2555 . https://doi.org/10.1021/acs.jctc.1c00924
The determination of drug residence times, which define the time an inhibitor is in complex with its target, is a fundamental part of the drug discovery process. Synthesis and experimental measurements of kinetic rate constants are, however, expensiv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::080fe41a13ee1cbf063f1e1751bc2cf3