Research Data Leeds Repository

Items where Subject is "I000 - Computer sciences > I400 - Artificial intelligence"

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• Joint Academic Coding System (JACS)⁹ (989)
  • I000 - Computer sciences¹⁰ (32)
    • I400 - Artificial intelligence (21)
      • I410 - Speech & natural language processing¹¹ (2)
      • I420 - Knowledge representation¹² (1)
      • I440 - Computer vision¹³ (1)
      • I460 - Machine learning¹⁴ (2)

Group by: Creators | Item Type¹⁵

Jump to: A | C | D | K | L | M | R | T

Number of items at this level: 16.

A

Alomari, Muhannad and Dukes, Kais (2016) Extended train robots.¹⁶ University of Leeds. [Dataset] https://doi.org/10.5518/32¹⁷

Alomari, Muhannad and Hogg, David C. and Cohn, Anthony G. (2017) Leeds Robotic Commands.¹⁸ University of Leeds. [Dataset] https://doi.org/10.5518/110¹⁹

Alqahtani, Mohammad and Atwell, Eric (2018) Annotated Corpus of Arabic Al-Quran Question and Answer.²⁰ University of Leeds. [Dataset] https://doi.org/10.5518/356²¹

C

Copado-Mendez, Pedro Jesus and Lin, Zhiyuan and Kwan, Raymond (2018) Train Units Scheduling Optimization.²² University of Leeds. [Dataset] https://doi.org/10.5518/448²³

D

Du, Heshan and Cohn, Anthony G. (2016) An Ontology of Soil Properties and Processes.²⁴ University of Leeds. [Dataset] https://doi.org/10.5518/54²⁵

Duckworth, Paul and Alomari, Muhannad and Cohn, Anthony G. (2016) Mobile robot observing kitchen activities - University of Leeds.²⁶ University of Leeds. [Dataset] https://doi.org/10.5518/86²⁷

Duckworth, Paul and Jovan, Ferdian and Kunze, Lars (2016) STRANDS people trajectories - G4S deployment.²⁸ University of Leeds. [Dataset] https://doi.org/10.5518/34²⁹

K

Kwan, Raymond and Barrena, Eva and Lin, Zhiyuan (2015) CASPT2015: Train unit scheduling with bi-level capacity requirements.³⁰ University of Leeds. [Dataset] https://doi.org/10.5518/5³¹

L

Li, Fangjun and Hogg, David C. and Cohn, Anthony G. (2024) SpatialLM-StepGame.³² University of Leeds. [Dataset] https://doi.org/10.5518/1468³³

M

McLaughlan, James R. and Howell, Lewis and Ingram, Nicola (2024) Lung ultrasound COVID phantom dataset used for training machine learning model.³⁴ University of Leeds. [Dataset] https://doi.org/10.5518/1485³⁵

R

Richard-Bollans, Adam (2020) Analysis of the Polysemy Exhibited by Spatial Prepositions.³⁶ University of Leeds. [Dataset] https://doi.org/10.5518/825³⁷

Richard-Bollans, Adam (2020) Comparing Category and Typicality Judgements for Spatial Prepositions.³⁸ University of Leeds. [Dataset] https://doi.org/10.5518/873³⁹

Richard-Bollans, Adam (2020) Study on the Semantics of Spatial Language - dataset.⁴⁰ University of Leeds. [Dataset] https://doi.org/10.5518/764⁴¹

Richard-Bollans, Adam and Gómez Álvarez, Lucía and Bennett, Brandon and Cohn, Anthony G. (2019) Investigating the Dimensions of Spatial Language: A Preliminary Study.⁴² University of Leeds. [Dataset] https://doi.org/10.5518/620⁴³

T

Tavanai, Aryana (2015) MINDSEYE2015: Joint Tracking and Event Analysis for Carried Object Detection.⁴⁴ University of Leeds. [Dataset] https://doi.org/10.5518/9⁴⁵

Toumpa, Alexia and Cohn, Anthony G. (2022) Leeds Object Affordance Dataset (LOAD).⁴⁶ University of Leeds. [Dataset] https://doi.org/10.5518/1186⁴⁷

• 1. ./
• 2. ./
• 3. https://archive.researchdata.leeds.ac.uk/cgi/exportview/subjects/I400/Atom/I400.xml
• 4. https://archive.researchdata.leeds.ac.uk/cgi/exportview/subjects/I400/Atom/I400.xml
• 5. https://archive.researchdata.leeds.ac.uk/cgi/exportview/subjects/I400/RSS/I400.rss
• 6. https://archive.researchdata.leeds.ac.uk/cgi/exportview/subjects/I400/RSS/I400.rss
• 7. https://archive.researchdata.leeds.ac.uk/cgi/exportview/subjects/I400/RSS2/I400.xml
• 8. https://archive.researchdata.leeds.ac.uk/cgi/exportview/subjects/I400/RSS2/I400.xml
• 9. subjects.html
• 10. I000.html
• 11. I410.html
• 12. I420.html
• 13. I440.html
• 14. I460.html
• 15. I400.type.html
• 16. https://archive.researchdata.leeds.ac.uk/37/
• 17. https://doi.org/10.5518/32
• 18. https://archive.researchdata.leeds.ac.uk/116/
• 19. https://doi.org/10.5518/110
• 20. https://archive.researchdata.leeds.ac.uk/464/
• 21. https://doi.org/10.5518/356
• 22. https://archive.researchdata.leeds.ac.uk/537/
• 23. https://doi.org/10.5518/448
• 24. https://archive.researchdata.leeds.ac.uk/42/
• 25. https://doi.org/10.5518/54
• 26. https://archive.researchdata.leeds.ac.uk/235/
• 27. https://doi.org/10.5518/86
• 28. https://archive.researchdata.leeds.ac.uk/44/
• 29. https://doi.org/10.5518/34
• 30. https://archive.researchdata.leeds.ac.uk/9/
• 31. https://doi.org/10.5518/5
• 32. https://archive.researchdata.leeds.ac.uk/1321/
• 33. https://doi.org/10.5518/1468
• 34. https://archive.researchdata.leeds.ac.uk/1263/
• 35. https://doi.org/10.5518/1485
• 36. https://archive.researchdata.leeds.ac.uk/695/
• 37. https://doi.org/10.5518/825
• 38. https://archive.researchdata.leeds.ac.uk/755/
• 39. https://doi.org/10.5518/873
• 40. https://archive.researchdata.leeds.ac.uk/643/
• 41. https://doi.org/10.5518/764
• 42. https://archive.researchdata.leeds.ac.uk/558/
• 43. https://doi.org/10.5518/620
• 44. https://archive.researchdata.leeds.ac.uk/7/
• 45. https://doi.org/10.5518/9
• 46. https://archive.researchdata.leeds.ac.uk/1044/
• 47. https://doi.org/10.5518/1186